diff --git a/.gitignore b/.gitignore
index 08344c13..ad5cf5b5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -82,6 +82,12 @@ analysis_out/op/*
 # becomes unrecoverable rather than merely inconvenient. Append-only; never rewrite
 # a past line, since each one is a measurement.
 !analysis_out/usage_log.jsonl
+# The compute half of the same record (scripts/analysis/slurm_usage.py, #143): one
+# row per Slurm job allocation -- elapsed, GPUs, GPU-hours, and dollars on the
+# clusters that bill. Unlike the token ledger this one is partly back-fillable from
+# `sacct`, but only while the cluster still retains the job records. Same rules:
+# append-only, one row per (cluster, job id, start), last row per key wins.
+!analysis_out/compute_log.jsonl
 # Crop-window sizing eval summaries (#114): per-rule containment/context stats plus
 # the sha256 of the per-box CSV each summarizes (the CSVs themselves regenerate).
 # The glob also covers per-bundle runs against box_gallery extent gold (#116),
diff --git a/CLAUDE.md b/CLAUDE.md
index 35d27dac..b3b602e2 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -53,6 +53,50 @@ When a task involves human raters, assume from the start that **a second rater w
 the two will be compared** — per-rater files, a stable item list, and an agreement script, not a
 single blob that has to be reverse-engineered later.
 
+## Record what every experiment cost — time *and* money — as it runs
+
+**Any experiment on a non-free model or non-free compute records both its wall-clock time and
+its spend, at the time it runs.** A paper reports cost alongside accuracy, and neither number
+survives being left for later: a re-run reads the detection cache, makes no calls, and returns
+in seconds, so it reproduces neither the token counts nor the runtime.
+
+- **Paid APIs.** `compare.py` appends one row per leg to `analysis_out/usage_log.jsonl`
+  (committed): tokens, dollars, wall-clock, seconds-per-panorama, the rig, and the build that
+  actually served it. `--usage-log none` requires `--allow-unrecorded-spend`. Prices live in
+  `scripts/model_comparison/pricing.py` and are **verified-only** — each rate carries the date
+  it was checked and, for compute, the page it came from, never memory.
+- **Free models still cost time.** OWLv2, Grounding DINO, Qwen, Molmo and the YOLO arms bill no
+  tokens and burn real GPU-hours. They write the same row with `paid: false`, because "what did
+  this cost" has two units and only one of them is dollars.
+- **Cluster jobs.** `scripts/analysis/slurm_usage.py` scrapes `sacct` into
+  `analysis_out/compute_log.jsonl` — elapsed, GPUs, GPU-hours, and dollars on the clusters that
+  bill. Run it after a cluster run, not at the end of the project.
+- **A ledger is not a commit, and it has to outlive the run.** Both default into the **main
+  checkout**, never a scratch worktree: a worktree is deleted when its session ends, and that is
+  exactly how one leg spent $70.41 and left no row (#139, #143). Committing the ledger is part
+  of finishing the experiment.
+- **A missing record is an emergency with a deadline.** Vertex telemetry retains ~6 weeks
+  (`scripts/analysis/vertex_usage.py`) and `sacct` retention is finite too, so recover a missing
+  number the day you notice it. Recovery is per-model per-day, so **per-split attribution is
+  permanently gone** even after a successful pull — layer 3 rescues the total, never the
+  breakdown.
+- **A recovered number belongs in the ledger, and belongs marked.** Write it as a row with
+  `kind: "recovered"` (`rampnet.ledger.RECOVERED`) carrying the billed total *minus what the
+  surviving rows already account for*, so the ledger sums to the bill rather than double
+  counting. Two rules follow and they pull opposite ways: **cost totals include it** — omitting
+  #139's $70.41 under-reported the benchmark's Claude spend by ~200x — but **reconciliation must
+  never count it as logged**, because a recovered row was read off that same bill, so counting it
+  that way compares the bill against itself and reports `ok` for the exact gap the check exists to
+  find. `--reconcile` totals it in a separate column and subtracts it before the verdict, so a gap
+  already found and written down reads as `ok (1 recovered)` and only the unexplained remainder is
+  called out — a check that reports the same handled gap as an emergency every run is a check
+  people stop reading. A recovered row carries no `bundle` and no `elapsed_s`; those were never in
+  the telemetry.
+- **Token counts and GPU-hours are the durable facts; dollars are estimates** and the billing
+  console is authoritative. Estimate input tokens from geometry when you must (deterministic —
+  it came within 0.02% for a 984-panorama leg); **never estimate output**, which is thinking
+  plus box count and ran 62% high when tried.
+
 ## Environment & commands
 
 - Conda env (Linux + CUDA 11.8; env file pins linux-64 packages — this does not run natively on Windows):
diff --git a/analysis_out/compute_log.jsonl b/analysis_out/compute_log.jsonl
new file mode 100644
index 00000000..7420ab90
--- /dev/null
+++ b/analysis_out/compute_log.jsonl
@@ -0,0 +1,3991 @@
+{"cluster": "klone", "job_id": "36808185", "job_name": "rampnet-eval", "user": "jfroehli", "partition": "ckpt-all", "qos": "ckpt-gpu", "state": "CANCELLED by 197096", "submit": "2026-07-02T07:39:28", "start": "2026-07-02T07:39:32", "end": "2026-07-02T09:37:09", "elapsed_s": 7057, "nodes": 1, "gpus": 1, "gpu_type": "a40", "gpu_hours": 1.9603, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "36813338", "job_name": "rampnet-eval", "user": "jfroehli", "partition": "ckpt-all", "qos": "ckpt-gpu", "state": "COMPLETED", "submit": "2026-07-02T09:41:06", "start": "2026-07-02T09:41:08", "end": "2026-07-02T10:04:12", "elapsed_s": 1384, "nodes": 1, "gpus": 1, "gpu_type": "a40", "gpu_hours": 0.3844, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37434076", "job_name": "sal-richmond", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "FAILED", "submit": "2026-07-21T14:56:17", "start": "2026-07-21T14:56:49", "end": "2026-07-21T15:00:02", "elapsed_s": 193, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.0536, "exit_code": "1:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37434773", "job_name": "sal-richmond", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-21T15:06:44", "start": "2026-07-21T15:07:37", "end": "2026-07-21T16:10:30", "elapsed_s": 3773, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 1.0481, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37557732", "job_name": "sal-clovis", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-22T21:37:09", "start": "2026-07-22T21:37:15", "end": "2026-07-23T05:41:43", "elapsed_s": 29068, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 8.0744, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37595593", "job_name": "qwen_smoke", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T16:50:09", "start": "2026-07-23T16:50:47", "end": "2026-07-23T16:54:35", "elapsed_s": 228, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.0633, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37595890", "job_name": "qwen_smoke", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T16:58:29", "start": "2026-07-23T16:58:30", "end": "2026-07-23T17:03:56", "elapsed_s": 326, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.0906, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37596124", "job_name": "qwen_smoke", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T17:04:03", "start": "2026-07-23T17:04:20", "end": "2026-07-23T17:04:28", "elapsed_s": 8, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.0022, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37596141", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T17:04:48", "start": "2026-07-23T17:04:49", "end": "2026-07-23T17:20:32", "elapsed_s": 943, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.2619, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37596142", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T17:04:48", "start": "2026-07-23T17:19:51", "end": "2026-07-23T17:38:47", "elapsed_s": 1136, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.3156, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37597088", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "CANCELLED by 197096", "submit": "2026-07-23T17:32:26", "start": "2026-07-23T17:39:42", "end": "2026-07-23T18:12:12", "elapsed_s": 1950, "nodes": 2, "gpus": 2, "gpu_type": "l40s", "gpu_hours": 1.0833, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37597089", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "CANCELLED by 197096", "submit": "2026-07-23T17:32:26", "start": "None", "end": "2026-07-23T18:12:12", "elapsed_s": 0, "nodes": 1, "gpus": 0, "gpu_type": null, "gpu_hours": 0.0, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37598564", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T18:13:04", "start": "2026-07-23T18:13:39", "end": "2026-07-23T18:41:02", "elapsed_s": 1643, "nodes": 1, "gpus": 2, "gpu_type": "l40s", "gpu_hours": 0.9128, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37598565", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T18:13:04", "start": "2026-07-23T18:41:09", "end": "2026-07-23T19:12:53", "elapsed_s": 1904, "nodes": 1, "gpus": 2, "gpu_type": "l40s", "gpu_hours": 1.0578, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37604318", "job_name": "open_smoke", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T20:39:37", "start": "2026-07-23T20:39:42", "end": "2026-07-23T20:45:43", "elapsed_s": 361, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.1003, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37604320", "job_name": "open_overlay", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T20:39:37", "start": "2026-07-23T20:40:24", "end": "2026-07-23T20:44:33", "elapsed_s": 249, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.0692, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37604867", "job_name": "open_rich", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T20:45:14", "start": "2026-07-23T20:45:15", "end": "2026-07-23T20:58:22", "elapsed_s": 787, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.2186, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37604868", "job_name": "open_bend", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T20:45:14", "start": "2026-07-23T20:45:49", "end": "2026-07-23T21:01:02", "elapsed_s": 913, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.2536, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37605324", "job_name": "molmo_overlay", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T20:57:12", "start": "2026-07-23T20:59:20", "end": "2026-07-23T21:05:33", "elapsed_s": 373, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.1036, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37605851", "job_name": "molmo_raw", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T21:08:06", "start": "2026-07-23T21:08:14", "end": "2026-07-23T21:14:16", "elapsed_s": 362, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.1006, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37606206", "job_name": "molmo_ov2", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T21:21:04", "start": "2026-07-23T21:21:17", "end": "2026-07-23T21:27:35", "elapsed_s": 378, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.105, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37606420", "job_name": "molmo_rich", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T21:29:18", "start": "2026-07-23T21:30:03", "end": "2026-07-23T22:00:56", "elapsed_s": 1853, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.5147, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37606421", "job_name": "molmo_bend", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-23T21:29:18", "start": "2026-07-23T21:30:13", "end": "2026-07-23T21:52:32", "elapsed_s": 1339, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.3719, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37620046", "job_name": "open_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-24T08:48:20", "start": "2026-07-24T09:09:03", "end": "2026-07-24T09:21:42", "elapsed_s": 759, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.2108, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37620047", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-24T08:48:20", "start": "2026-07-24T09:09:52", "end": "2026-07-24T09:21:17", "elapsed_s": 685, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.1903, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37620048", "job_name": "qwen_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-24T08:48:20", "start": "2026-07-24T08:48:27", "end": "2026-07-24T09:08:34", "elapsed_s": 1207, "nodes": 1, "gpus": 2, "gpu_type": "l40s", "gpu_hours": 0.6706, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37620049", "job_name": "open_curb_ramp_compare", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-24T08:48:20", "start": "2026-07-24T09:22:17", "end": "2026-07-24T09:45:24", "elapsed_s": 1387, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.3853, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "37622732", "job_name": "sal-budapest", "user": "jfroehli", "partition": "gpu-l40s", "qos": "normal", "state": "COMPLETED", "submit": "2026-07-24T11:31:43", "start": "2026-07-24T11:31:57", "end": "2026-07-24T13:37:07", "elapsed_s": 7510, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 2.0861, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
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+{"cluster": "klone", "job_id": "38629526", "job_name": "arch_jsomeara", "user": "jfroehli", "partition": "ckpt-all", "qos": "ckpt", "state": "COMPLETED", "submit": "2026-08-18T07:49:59", "start": "2026-08-18T07:50:16", "end": "2026-08-18T07:50:34", "elapsed_s": 18, "nodes": 1, "gpus": 0, "gpu_type": null, "gpu_hours": 0.0, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "38629538", "job_name": "arch_capnav", "user": "jfroehli", "partition": "ckpt-all", "qos": "ckpt", "state": "COMPLETED", "submit": "2026-08-18T07:52:21", "start": "2026-08-18T07:52:49", "end": "2026-08-18T08:06:10", "elapsed_s": 801, "nodes": 1, "gpus": 0, "gpu_type": null, "gpu_hours": 0.0, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "38629539", "job_name": "arch_jsomeara", "user": "jfroehli", "partition": "ckpt-all", "qos": "ckpt", "state": "COMPLETED", "submit": "2026-08-18T07:52:21", "start": "2026-08-18T07:52:49", "end": "2026-08-18T11:08:58", "elapsed_s": 11769, "nodes": 1, "gpus": 0, "gpu_type": null, "gpu_hours": 0.0, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
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+{"cluster": "klone", "job_id": "38629582_3", "job_name": "eval_run_a_84", "user": "jfroehli", "partition": "ckpt", "qos": "ckpt-gpu", "state": "FAILED", "submit": "2026-08-18T08:01:30", "start": "2026-08-18T08:04:02", "end": "2026-08-18T08:14:25", "elapsed_s": 623, "nodes": 1, "gpus": 1, "gpu_type": "p100", "gpu_hours": 0.1731, "exit_code": "1:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "38629582_4", "job_name": "eval_run_a_84", "user": "jfroehli", "partition": "ckpt", "qos": "ckpt-gpu", "state": "FAILED", "submit": "2026-08-18T08:01:30", "start": "2026-08-18T08:04:02", "end": "2026-08-18T08:14:25", "elapsed_s": 623, "nodes": 1, "gpus": 1, "gpu_type": "p100", "gpu_hours": 0.1731, "exit_code": "1:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
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+{"cluster": "klone", "job_id": "38632718", "job_name": "jsomeara_sums", "user": "jfroehli", "partition": "ckpt", "qos": "ckpt", "state": "COMPLETED", "submit": "2026-08-18T11:15:16", "start": "2026-08-18T11:15:33", "end": "2026-08-18T11:40:11", "elapsed_s": 1478, "nodes": 1, "gpus": 0, "gpu_type": null, "gpu_hours": 0.0, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
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+{"cluster": "klone", "job_id": "38640313", "job_name": "rampnet_cosine_rung_135", "user": "jfroehli", "partition": "ckpt-all", "qos": "ckpt-gpu", "state": "PENDING", "submit": "2026-08-19T02:56:52", "start": "Unknown", "end": "Unknown", "elapsed_s": 0, "nodes": 4, "gpus": 0, "gpu_type": null, "gpu_hours": 0.0, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "38657533", "job_name": "yolo_curb_ramp_train", "user": "jfroehli", "partition": "ckpt-g2", "qos": "ckpt-gpu", "state": "PREEMPTED", "submit": "2026-08-19T06:10:44", "start": "2026-08-19T06:12:02", "end": "2026-08-19T06:20:10", "elapsed_s": 488, "nodes": 1, "gpus": 1, "gpu_type": "l40s", "gpu_hours": 0.1356, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "38657535", "job_name": "yolo_curb_ramp_train", "user": "jfroehli", "partition": "ckpt-g2", "qos": "ckpt-gpu", "state": "RUNNING", "submit": "2026-08-19T06:10:44", "start": "2026-08-19T06:12:33", "end": "Unknown", "elapsed_s": 1233, "nodes": 1, "gpus": 1, "gpu_type": "h200", "gpu_hours": 0.3425, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
+{"cluster": "klone", "job_id": "38657533", "job_name": "yolo_curb_ramp_train", "user": "jfroehli", "partition": "ckpt-g2", "qos": "ckpt-gpu", "state": "RUNNING", "submit": "2026-08-19T06:21:01", "start": "2026-08-19T06:23:15", "end": "Unknown", "elapsed_s": 591, "nodes": 1, "gpus": 1, "gpu_type": "h200", "gpu_hours": 0.1642, "exit_code": "0:0", "est_cost_usd": 0.0, "rate_usd_per_gpu_hour": 0.0, "rate_as_of": "2026-07-30", "recorded_at": "2026-08-19T13:37:06+00:00"}
diff --git a/analysis_out/usage_log.jsonl b/analysis_out/usage_log.jsonl
index d7c56180..26e6e14c 100644
--- a/analysis_out/usage_log.jsonl
+++ b/analysis_out/usage_log.jsonl
@@ -1,3 +1,4 @@
 {"ts": "2026-08-18T14:54:02+00:00", "bundle": "annapolis", "label": "claude-sonnet-5", "provider": "claude", "model_id": "claude-sonnet-5", "model_versions": {"claude-sonnet-5": 6}, "panos_scored": 125, "signature": {"provider": "claude", "model_id": "claude-sonnet-5", "tile": true, "max_edge": 1568, "source_max_edge": 4096, "views": [[0.0, -30.0, 90.0, 90.0, 1024, 1024], [60.0, -30.0, 90.0, 90.0, 1024, 1024], [120.0, -30.0, 90.0, 90.0, 1024, 1024], [180.0, -30.0, 90.0, 90.0, 1024, 1024], [240.0, -30.0, 90.0, 90.0, 1024, 1024], [300.0, -30.0, 90.0, 90.0, 1024, 1024]], "prompt": "Detect every curb ramp in this street-level image. A curb ramp (curb cut) is the short sloped ramp cut into a sidewalk curb at a street corner or crossing that lets a wheelchair or stroller roll from sidewalk to street. Return one tight bounding box per curb ramp. Do not box driveways, stairs, or crosswalk paint. If there are no curb ramps, return an empty list.", "effort": "low", "tool_choice": "auto", "box_tool": "{\"description\": \"Report every curb ramp visible in the image, as tight pixel bounding boxes in the image's own coordinate space. Report an empty list if there are none.\", \"input_schema\": {\"additionalProperties\": false, \"properties\": {\"boxes\": {\"items\": {\"additionalProperties\": false, \"properties\": {\"x1\": {\"type\": \"integer\"}, \"x2\": {\"type\": \"integer\"}, \"y1\": {\"type\": \"integer\"}, \"y2\": {\"type\": \"integer\"}}, \"required\": [\"x1\", \"y1\", \"x2\", \"y2\"], \"type\": \"object\"}, \"type\": \"array\"}}, \"required\": [\"boxes\"], \"type\": \"object\"}, \"name\": \"report_curb_ramps\"}"}, "stop_reasons": {"tool_use": 6}, "calls": 6, "input_tokens": 12594, "output_tokens": 480, "thoughts_tokens": 0, "cache_read_input_tokens": 0, "cache_write_input_tokens": 0, "est_cost_usd": 0.03, "pricing": {"input_per_m": 2.0, "output_per_m": 10.0, "cache_read_per_m": 0.2, "cache_write_per_m": 2.5, "as_of": "2026-08-15", "note": "Vertex `global`; promotional launch pricing through 2026-08-31, $3.00/$15.00 after. Regional +10%."}}
 {"ts": "2026-08-18T23:29:11+00:00", "bundle": "richmond", "label": "claude-opus-5", "provider": "claude", "model_id": "claude-opus-5", "model_versions": {"claude-opus-5": 6}, "panos_scored": 1, "signature": {"provider": "claude", "model_id": "claude-opus-5", "tile": true, "max_edge": 1568, "source_max_edge": 4096, "views": [[0.0, -30.0, 90.0, 90.0, 1024, 1024], [60.0, -30.0, 90.0, 90.0, 1024, 1024], [120.0, -30.0, 90.0, 90.0, 1024, 1024], [180.0, -30.0, 90.0, 90.0, 1024, 1024], [240.0, -30.0, 90.0, 90.0, 1024, 1024], [300.0, -30.0, 90.0, 90.0, 1024, 1024]], "prompt": "Detect every curb ramp in this street-level image. A curb ramp (curb cut) is the short sloped ramp cut into a sidewalk curb at a street corner or crossing that lets a wheelchair or stroller roll from sidewalk to street. Return one tight bounding box per curb ramp. Do not box driveways, stairs, or crosswalk paint. If there are no curb ramps, return an empty list.", "effort": "low", "tool_choice": "auto", "box_tool": "{\"description\": \"Report every curb ramp visible in the image, as tight pixel bounding boxes in the image's own coordinate space. Report an empty list if there are none.\", \"input_schema\": {\"additionalProperties\": false, \"properties\": {\"boxes\": {\"items\": {\"additionalProperties\": false, \"properties\": {\"x1\": {\"type\": \"integer\"}, \"x2\": {\"type\": \"integer\"}, \"y1\": {\"type\": \"integer\"}, \"y2\": {\"type\": \"integer\"}}, \"required\": [\"x1\", \"y1\", \"x2\", \"y2\"], \"type\": \"object\"}, \"type\": \"array\"}}, \"required\": [\"boxes\"], \"type\": \"object\"}, \"name\": \"report_curb_ramps\"}"}, "stop_reasons": {"tool_use": 6}, "calls": 6, "input_tokens": 12186, "output_tokens": 780, "thoughts_tokens": 0, "cache_read_input_tokens": 0, "cache_write_input_tokens": 0, "est_cost_usd": 0.0804, "pricing": {"input_per_m": 5.0, "output_per_m": 25.0, "cache_read_per_m": 0.5, "cache_write_per_m": 6.25, "as_of": "2026-08-15", "note": "Vertex `global`; regional +10%."}}
 {"ts": "2026-08-18T23:30:52+00:00", "bundle": "richmond", "label": "claude-opus-5", "provider": "claude", "model_id": "claude-opus-5", "model_versions": {"claude-opus-5": 18}, "panos_scored": 4, "signature": {"provider": "claude", "model_id": "claude-opus-5", "tile": true, "max_edge": 1568, "source_max_edge": 4096, "views": [[0.0, -30.0, 90.0, 90.0, 1024, 1024], [60.0, -30.0, 90.0, 90.0, 1024, 1024], [120.0, -30.0, 90.0, 90.0, 1024, 1024], [180.0, -30.0, 90.0, 90.0, 1024, 1024], [240.0, -30.0, 90.0, 90.0, 1024, 1024], [300.0, -30.0, 90.0, 90.0, 1024, 1024]], "prompt": "Detect every curb ramp in this street-level image. A curb ramp (curb cut) is the short sloped ramp cut into a sidewalk curb at a street corner or crossing that lets a wheelchair or stroller roll from sidewalk to street. Return one tight bounding box per curb ramp. Do not box driveways, stairs, or crosswalk paint. If there are no curb ramps, return an empty list.", "effort": "low", "tool_choice": "auto", "box_tool": "{\"description\": \"Report every curb ramp visible in the image, as tight pixel bounding boxes in the image's own coordinate space. Report an empty list if there are none.\", \"input_schema\": {\"additionalProperties\": false, \"properties\": {\"boxes\": {\"items\": {\"additionalProperties\": false, \"properties\": {\"x1\": {\"type\": \"integer\"}, \"x2\": {\"type\": \"integer\"}, \"y1\": {\"type\": \"integer\"}, \"y2\": {\"type\": \"integer\"}}, \"required\": [\"x1\", \"y1\", \"x2\", \"y2\"], \"type\": \"object\"}, \"type\": \"array\"}}, \"required\": [\"boxes\"], \"type\": \"object\"}, \"name\": \"report_curb_ramps\"}"}, "stop_reasons": {"tool_use": 18}, "calls": 18, "input_tokens": 36558, "output_tokens": 1972, "thoughts_tokens": 32, "cache_read_input_tokens": 0, "cache_write_input_tokens": 0, "est_cost_usd": 0.2321, "pricing": {"input_per_m": 5.0, "output_per_m": 25.0, "cache_read_per_m": 0.5, "cache_write_per_m": 6.25, "as_of": "2026-08-15", "note": "Vertex `global`; regional +10%."}}
+{"ts": "2026-08-18T00:00:00+00:00", "kind": "recovered", "bundle": null, "label": "claude-opus-5", "provider": "claude", "model_id": "claude-opus-5", "panos_scored": null, "input_tokens": 11940249, "output_tokens": 415751, "est_cost_usd": 70.095, "pricing": {"input_per_m": 5.0, "output_per_m": 25.0, "cache_read_per_m": 0.5, "cache_write_per_m": 6.25, "as_of": "2026-08-15", "note": "Vertex `global`; regional +10%."}, "recovery": {"issue": 139, "method": "python scripts/analysis/vertex_usage.py --days 3", "recovered_on": "2026-08-19", "source": "Vertex AI Cloud Monitoring token metrics", "billed_input_tokens": 11988993, "billed_output_tokens": 418503, "billed_usd": 70.41, "already_logged_rows": 2, "already_logged_input_tokens": 48744, "already_logged_output_tokens": 2752, "already_logged_usd": 0.3125, "covers": ["bend", "budapest_district5", "clovis", "gainesville", "morgantown", "paterson", "richmond", "sao_paulo"]}, "note": "Layer-3 recovery, not a measurement. The 2026-08-18 eight-split claude-opus-5 leg wrote no row: it ran from a scratch worktree, so the default log path resolved inside that worktree and went with it when the worktree was deleted (fixed in #143 by canonical_repo_root). This row is the BILLED total for the model that day MINUS what the surviving rows already account for, so the ledger sums to the bill instead of double counting the two richmond smoke legs. It carries no per-split attribution and no elapsed_s, because per-day billing telemetry has neither: which of the eight splits spent what is permanently unrecoverable."}
diff --git a/docs/compute_cost.md b/docs/compute_cost.md
new file mode 100644
index 00000000..a2880307
--- /dev/null
+++ b/docs/compute_cost.md
@@ -0,0 +1,96 @@
+# What our cluster compute has cost
+
+**2,684.4 GPU-hours across 3,991 job allocations on klone since 2026-07-02, at $0.** That is
+the compute side of every RampNet experiment run on Jon's klone account, and until now it was
+recorded nowhere — the figures in [`tillicum.md`](tillicum.md) and
+[`stage2_training_cost.md`](stage2_training_cost.md) were transcribed by hand, per job, when
+someone remembered (#143).
+
+The ledger is `analysis_out/compute_log.jsonl`, one row per job allocation, written by:
+
+```bash
+python scripts/analysis/slurm_usage.py --cluster klone --user jfroehli \
+    --from-file docs/data/compute/sacct_klone_2026-08-19.txt \
+    --by-name
+```
+
+The raw `sacct` dump that command parses is committed at
+`docs/data/compute/sacct_klone_2026-08-19.txt`, so the numbers below are re-derivable from a
+clean clone **with no cluster account** — the same reason `usage_log.jsonl` is committed while
+`vertex_usage.py` needs cloud credentials. Regenerate the dump with `--print-command`.
+
+## `sacct -D` is worth 4.3x, and it is the whole finding
+
+Slurm reports only the **last incarnation** of a requeued job unless you pass `-D`. Our klone
+work lives on the preemptable `ckpt` partition, where **96% of allocations end in `PREEMPTED`**
+(3,780 of 3,991). So the default view does not undercount slightly — it discards nearly
+everything:
+
+| the #51 YOLO baseline (`yolo_curb_ramp_train`) | rows | GPU-hours |
+| :--- | ---: | ---: |
+| `sacct -D` (every incarnation) | 3,857 | **2,046.9** |
+| `sacct` without `-D` (last incarnation per job id) | 27 | 470.5 |
+| | | **4.35x** |
+
+Any hand tally taken from a default `sacct` is short by this factor, and nothing about the
+output says so. It is also why the ledger keys rows on **(cluster, job id, start)** rather than
+the job id: 3,857 rows collapse to 27 keys otherwise.
+
+**This validates rather than contradicts the number already in the repo.**
+[`tillicum.md`](tillicum.md) records *"496.5 GPU-hours consumed on the baseline since
+2026-07-24 (`sacct`, all arms)"*, measured 2026-07-30. Summing this ledger over jobs **ending**
+from 2026-07-24 onward, the running total crosses 496.5 GPU-hours at **2026-07-29T21:17** —
+i.e. the evening before that figure was written. It reproduces to the hour, which also
+confirms the original query was duplicate-inclusive.
+
+## What the 2,684 hours went on
+
+| job name | jobs | GPU-h | what it is |
+| :--- | ---: | ---: | :--- |
+| `yolo_curb_ramp_train` | 3,857 | 2,046.9 | the supervised YOLO baseline (#51) |
+| `rampnet_run_a_84` | 6 | 528.6 | Run A, the epoch curve (#84) |
+| `rampnet_cosine_rung_135` | 2 | 25.1 | the 8-epoch cosine rung (#135), still in flight as of the 2026-08-19 pull |
+| `qwen_curb_ramp_compare` | 20 | 19.3 | Qwen legs of the model comparison |
+| `open_curb_ramp_compare` | 16 | 8.9 | OWLv2 / Grounding DINO legs |
+| `eval_run_a_84` | 16 | 3.1 | Run A evaluation |
+| everything else (46 names) | 74 | 52.5 | env builds, smoke tests, data prep, eval |
+
+GPUs drawn, by allocation: `l40` 2,194, `l40s` 1,285, `h200` 456 (klone's `ckpt-g2` nodes),
+`a40` 23, `p100` 6, `2080ti` 1. Consistent with [#135](https://github.com/ProjectSidewalk/RampNet/issues/135)'s
+finding that the scavenger queue hands out whatever is free and the type is not worth waiting
+for.
+
+**The ledger records every job on the account, not only RampNet's.** 28 allocations named
+`sal-*` / `arch_*` (34.3 GPU-h, **1.3%**) belong to other projects. That is deliberate: the
+artifact is a complete measurement and attribution is left to the reader, rather than baking a
+filter chosen once into a durable file. Use `--by-name`, and exclude those two prefixes for a
+RampNet-only total of **2,650.0 GPU-h**.
+
+## Cost
+
+**$0.** Every one of these hours was on klone, which is free at the point of use (condo model,
+and `ckpt` is scavenger). The price is paid in preemption instead: 96% of allocations were
+preempted, and `stage2_training_cost.md` measures the resulting overhead at **1.67x** on the
+paper's Stage 2 run — 44.7 h of compute stretched over 74.6 h of calendar across 15 restarts.
+
+Rates live in `COMPUTE_PRICING` in `scripts/model_comparison/pricing.py`, verified-only with an
+`as_of` date and a source, same discipline as the token table. A cluster with no entry prices
+to `None`, not `$0` — "we checked and it is free" and "we have no rate" are different
+statements and only one is safe to put in a paper.
+
+## Gaps, stated
+
+- **Tillicum is not in the ledger.** Its jobs bill at $0.90/GPU-hour and are the only compute
+  spend we have. The back-fill needs a `sacct` pull from Tillicum, which is Duo-gated; the
+  control master was down when this was written. One command once it is up:
+  `python scripts/analysis/slurm_usage.py --cluster tillicum --since 2026-07-01 --save-raw docs/data/compute/sacct_tillicum_<date>.txt`.
+  Until then the $4.20 and $0.03 figures in [`tillicum.md`](tillicum.md) remain hand-transcribed.
+- **The window starts 2026-07-02**, which is where this account's retained records begin, not
+  where RampNet's compute begins.
+- **The paper's own Stage 1 and Stage 2 runs are not here at all.** They ran on a different
+  user's account (see [`stage1_generation_cost.md`](stage1_generation_cost.md)), so they are
+  outside this `sacct` query and are not recoverable through it. What survives of them is the
+  TensorBoard-derived measurement in [`stage2_training_cost.md`](stage2_training_cost.md):
+  ~56 GPU-hours per epoch, ~12 epochs.
+- **Retention is finite.** `sacct` keeps job records for a while and then does not. This
+  back-fill was possible in August 2026; the same query in 2027 will return less.
diff --git a/docs/data/compute/sacct_klone_2026-08-19.txt b/docs/data/compute/sacct_klone_2026-08-19.txt
new file mode 100644
index 00000000..5be64edb
--- /dev/null
+++ b/docs/data/compute/sacct_klone_2026-08-19.txt
@@ -0,0 +1,3991 @@
+36808185|rampnet-eval|klone|ckpt-all|ckpt-gpu|CANCELLED by 197096|2026-07-02T07:39:28|2026-07-02T07:39:32|2026-07-02T09:37:09|7057|billing=8,cpu=8,gres/gpu:a40=1,gres/gpu=1,mem=48G,node=1|1|0:0
+36813338|rampnet-eval|klone|ckpt-all|ckpt-gpu|COMPLETED|2026-07-02T09:41:06|2026-07-02T09:41:08|2026-07-02T10:04:12|1384|billing=8,cpu=8,gres/gpu:a40=1,gres/gpu=1,mem=48G,node=1|1|0:0
+37434076|sal-richmond|klone|gpu-l40s|normal|FAILED|2026-07-21T14:56:17|2026-07-21T14:56:49|2026-07-21T15:00:02|193|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37434773|sal-richmond|klone|gpu-l40s|normal|COMPLETED|2026-07-21T15:06:44|2026-07-21T15:07:37|2026-07-21T16:10:30|3773|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37557732|sal-clovis|klone|gpu-l40s|normal|COMPLETED|2026-07-22T21:37:09|2026-07-22T21:37:15|2026-07-23T05:41:43|29068|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37595593|qwen_smoke|klone|gpu-l40s|normal|COMPLETED|2026-07-23T16:50:09|2026-07-23T16:50:47|2026-07-23T16:54:35|228|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37595890|qwen_smoke|klone|gpu-l40s|normal|COMPLETED|2026-07-23T16:58:29|2026-07-23T16:58:30|2026-07-23T17:03:56|326|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37596124|qwen_smoke|klone|gpu-l40s|normal|COMPLETED|2026-07-23T17:04:03|2026-07-23T17:04:20|2026-07-23T17:04:28|8|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37596141|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-23T17:04:48|2026-07-23T17:04:49|2026-07-23T17:20:32|943|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37596142|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-23T17:04:48|2026-07-23T17:19:51|2026-07-23T17:38:47|1136|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37597088|qwen_curb_ramp_compare|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-23T17:32:26|2026-07-23T17:39:42|2026-07-23T18:12:12|1950|billing=16,cpu=16,gres/gpu:l40s=2,gres/gpu=2,mem=256G,node=2|2|0:0
+37597089|qwen_curb_ramp_compare|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-23T17:32:26|None|2026-07-23T18:12:12|0||1|0:0
+37598564|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-23T18:13:04|2026-07-23T18:13:39|2026-07-23T18:41:02|1643|billing=8,cpu=8,gres/gpu:l40s=2,gres/gpu=2,mem=128G,node=1|1|0:0
+37598565|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-23T18:13:04|2026-07-23T18:41:09|2026-07-23T19:12:53|1904|billing=8,cpu=8,gres/gpu:l40s=2,gres/gpu=2,mem=128G,node=1|1|0:0
+37604318|open_smoke|klone|gpu-l40s|normal|COMPLETED|2026-07-23T20:39:37|2026-07-23T20:39:42|2026-07-23T20:45:43|361|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37604320|open_overlay|klone|gpu-l40s|normal|COMPLETED|2026-07-23T20:39:37|2026-07-23T20:40:24|2026-07-23T20:44:33|249|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37604867|open_rich|klone|gpu-l40s|normal|COMPLETED|2026-07-23T20:45:14|2026-07-23T20:45:15|2026-07-23T20:58:22|787|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37604868|open_bend|klone|gpu-l40s|normal|COMPLETED|2026-07-23T20:45:14|2026-07-23T20:45:49|2026-07-23T21:01:02|913|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37605324|molmo_overlay|klone|gpu-l40s|normal|COMPLETED|2026-07-23T20:57:12|2026-07-23T20:59:20|2026-07-23T21:05:33|373|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=96G,node=1|1|0:0
+37605851|molmo_raw|klone|gpu-l40s|normal|COMPLETED|2026-07-23T21:08:06|2026-07-23T21:08:14|2026-07-23T21:14:16|362|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=96G,node=1|1|0:0
+37606206|molmo_ov2|klone|gpu-l40s|normal|COMPLETED|2026-07-23T21:21:04|2026-07-23T21:21:17|2026-07-23T21:27:35|378|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=96G,node=1|1|0:0
+37606420|molmo_rich|klone|gpu-l40s|normal|COMPLETED|2026-07-23T21:29:18|2026-07-23T21:30:03|2026-07-23T22:00:56|1853|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=96G,node=1|1|0:0
+37606421|molmo_bend|klone|gpu-l40s|normal|COMPLETED|2026-07-23T21:29:18|2026-07-23T21:30:13|2026-07-23T21:52:32|1339|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=96G,node=1|1|0:0
+37620046|open_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-24T08:48:20|2026-07-24T09:09:03|2026-07-24T09:21:42|759|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37620047|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-24T08:48:20|2026-07-24T09:09:52|2026-07-24T09:21:17|685|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37620048|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-24T08:48:20|2026-07-24T08:48:27|2026-07-24T09:08:34|1207|billing=8,cpu=8,gres/gpu:l40s=2,gres/gpu=2,mem=64G,node=1|1|0:0
+37620049|open_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-24T08:48:20|2026-07-24T09:22:17|2026-07-24T09:45:24|1387|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37622732|sal-budapest|klone|gpu-l40s|normal|COMPLETED|2026-07-24T11:31:43|2026-07-24T11:31:57|2026-07-24T13:37:07|7510|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37623902|sal-morgantown|klone|gpu-l40s|normal|COMPLETED|2026-07-24T12:08:51|2026-07-24T13:37:57|2026-07-24T19:19:30|20493|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37649635|yolo_data_dl|klone|gpu-l40s|normal|COMPLETED|2026-07-24T21:37:40|2026-07-24T21:38:17|2026-07-24T23:58:40|8423|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37676255|gold_bundle|klone|gpu-l40s|normal|COMPLETED|2026-07-25T06:32:09|2026-07-25T06:32:10|2026-07-25T06:58:54|1604|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37676384|yolo_boxab|klone|gpu-l40s|normal|COMPLETED|2026-07-25T06:34:02|2026-07-25T06:34:03|2026-07-25T06:34:46|43|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=32G,node=1|1|0:0
+37677130|yolo_prep|klone|gpu-l40s|normal|COMPLETED|2026-07-25T06:41:41|2026-07-25T06:41:43|2026-07-25T09:28:46|10023|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=48G,node=1|1|0:0
+37680860|open_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-25T07:10:33|2026-07-25T07:10:36|2026-07-25T08:43:39|5583|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37680861|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-25T07:10:33|2026-07-25T08:43:43|2026-07-25T10:41:10|7047|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37680862|qwen_curb_ramp_compare|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-25T07:10:33|None|2026-07-25T10:42:41|0||1|0:0
+37680863|open_curb_ramp_compare|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-25T07:10:33|2026-07-25T09:28:49|2026-07-25T10:42:41|4432|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37687978|yolo_curb_ramp_train|klone|gpu-l40s|normal|TIMEOUT|2026-07-25T09:35:38|2026-07-25T10:41:44|2026-07-26T10:41:55|86411|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37687979|yolo_curb_ramp_train|klone|gpu-l40s|normal|TIMEOUT|2026-07-25T09:35:38|2026-07-25T10:42:44|2026-07-26T10:42:55|86411|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37687980|yolo_curb_ramp_train|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-25T09:35:38|2026-07-26T10:42:30|2026-07-26T13:19:49|9439|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37687983|yolo_curb_ramp_train|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-25T09:35:39|2026-07-26T10:43:01|2026-07-26T13:19:49|9408|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37687984|yolo_curb_ramp_train|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-25T09:35:39|None|2026-07-26T13:19:49|0||1|0:0
+37687985|yolo_curb_ramp_train|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-25T09:35:39|None|2026-07-26T13:19:49|0||1|0:0
+37690543|open_curb_ramp_compare|klone|ckpt-all|ckpt-gpu|COMPLETED|2026-07-25T10:42:43|2026-07-25T10:42:44|2026-07-25T13:18:40|9356|billing=8,cpu=8,gres/gpu:a40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37690544|qwen_curb_ramp_compare|klone|ckpt-all|ckpt-gpu|COMPLETED|2026-07-25T10:42:43|2026-07-25T10:42:44|2026-07-25T14:29:00|13576|billing=8,cpu=8,gres/gpu:a40=2,gres/gpu=2,mem=64G,node=1|1|0:0
+37735656|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-07-26T13:27:04|2026-07-26T13:27:05|2026-07-26T13:41:45|880|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37735762|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-07-26T13:28:25|2026-07-26T13:28:26|2026-07-26T13:53:38|1512|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37735763|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-07-26T13:28:25|2026-07-26T13:28:26|2026-07-26T13:53:38|1512|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37735764|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-07-26T13:28:25|2026-07-26T13:28:26|2026-07-26T13:40:28|722|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37735765|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-07-26T13:28:25|2026-07-26T13:28:26|2026-07-26T13:40:28|722|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37735766|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-07-26T13:28:25|2026-07-26T13:28:26|2026-07-26T13:37:11|525|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-26T18:10:28|2026-07-26T18:10:29|2026-07-27T02:15:01|29072|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745359|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-26T18:10:28|2026-07-26T18:10:29|2026-07-27T02:15:01|29072|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-26T18:10:28|2026-07-26T18:10:29|2026-07-27T02:15:01|29072|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-26T18:10:28|2026-07-26T18:10:29|2026-07-27T02:15:02|29073|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-26T18:10:28|2026-07-26T18:10:29|2026-07-27T02:15:02|29073|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-26T18:10:28|2026-07-26T18:10:29|2026-07-27T02:15:02|29073|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37749039|op_extract|klone|gpu-l40s|normal|COMPLETED|2026-07-26T19:45:10|2026-07-26T19:45:11|2026-07-26T19:55:39|628|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=32G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T02:15:06|2026-07-27T02:17:27|2026-07-27T10:30:02|29555|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T02:15:06|2026-07-27T02:17:27|2026-07-27T10:30:02|29555|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-27T02:15:52|2026-07-27T02:17:59|2026-07-27T02:42:27|1468|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745359|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T02:15:53|2026-07-27T02:17:59|2026-07-27T10:30:02|29523|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T02:15:54|2026-07-27T02:17:59|2026-07-27T10:30:02|29523|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T02:15:58|2026-07-27T02:17:59|2026-07-27T10:30:02|29523|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T02:43:30|2026-07-27T02:45:44|2026-07-27T11:00:02|29658|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37771540|sal-annapolis|klone|gpu-l40s|normal|COMPLETED|2026-07-27T09:02:12|2026-07-27T09:02:13|2026-07-27T14:54:36|21143|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T10:30:06|2026-07-27T10:32:20|2026-07-27T18:45:02|29562|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745359|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|CANCELLED by 197096|2026-07-27T10:30:07|2026-07-27T10:32:20|2026-07-27T18:43:09|29449|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T10:30:55|2026-07-27T10:32:56|2026-07-27T18:45:02|29526|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-27T10:30:56|2026-07-27T10:33:03|2026-07-27T10:59:38|1595|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T10:30:59|2026-07-27T10:33:03|2026-07-27T18:45:02|29519|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T11:00:29|2026-07-27T11:02:37|2026-07-27T19:15:01|29544|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-27T11:00:52|2026-07-27T11:02:55|2026-07-27T13:07:59|7504|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T13:08:51|2026-07-27T13:10:57|2026-07-27T21:15:02|29045|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37808803|sal-annapolis|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-27T18:25:21|2026-07-27T18:25:22|2026-07-27T18:37:07|705|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37808965|sal-annapolis|klone|gpu-l40s|normal|COMPLETED|2026-07-27T18:37:24|2026-07-27T18:37:25|2026-07-27T18:47:25|600|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37809205|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|CANCELLED by 197096|2026-07-27T18:43:53|2026-07-27T18:43:54|2026-07-27T19:25:54|2520|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-27T18:45:57|2026-07-27T18:48:02|2026-07-27T23:45:28|17846|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-27T18:46:01|2026-07-27T18:48:02|2026-07-27T23:45:28|17846|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T18:46:06|2026-07-27T18:48:11|2026-07-28T03:00:02|29511|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T19:15:58|2026-07-27T19:17:59|2026-07-28T03:30:02|29523|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-27T21:15:54|2026-07-27T21:18:06|2026-07-27T23:45:07|8821|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T23:45:08|2026-07-27T23:47:22|2026-07-28T08:00:02|29560|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T23:45:31|2026-07-27T23:47:32|2026-07-28T08:00:02|29550|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-27T23:46:20|2026-07-27T23:48:23|2026-07-28T08:00:02|29499|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-28T03:00:09|2026-07-28T03:02:18|2026-07-28T11:15:02|29564|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-28T03:31:03|2026-07-28T03:33:18|2026-07-28T11:45:02|29504|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-28T08:00:07|2026-07-28T08:02:10|2026-07-28T16:15:03|29573|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-28T08:00:56|2026-07-28T08:03:04|2026-07-28T16:15:03|29519|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|REQUEUED|2026-07-28T08:00:57|2026-07-28T08:03:04|2026-07-28T16:15:03|29519|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37825643|open_curb_ramp_compare|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-28T08:14:37|None|2026-07-28T08:16:43|0||1|0:0
+37825644|qwen_curb_ramp_compare|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-28T08:14:37|None|2026-07-28T08:16:43|0||1|0:0
+37825645|qwen_curb_ramp_compare|klone|gpu-l40s|normal|COMPLETED|2026-07-28T08:14:37|2026-07-28T08:14:38|2026-07-28T08:55:22|2444|billing=8,cpu=8,gres/gpu:l40s=2,gres/gpu=2,mem=64G,node=1|1|0:0
+37825646|open_curb_ramp_compare|klone|gpu-l40s|normal|CANCELLED by 197096|2026-07-28T08:14:37|None|2026-07-28T08:16:43|0||1|0:0
+37825674|open_curb_ramp_compare|klone|ckpt-g2|ckpt-gpu|COMPLETED|2026-07-28T08:16:46|2026-07-28T08:16:47|2026-07-28T08:37:13|1226|billing=8,cpu=8,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37825675|qwen_curb_ramp_compare|klone|ckpt-g2|ckpt-gpu|COMPLETED|2026-07-28T08:16:46|2026-07-28T08:16:47|2026-07-28T08:39:19|1352|billing=8,cpu=8,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37825676|open_curb_ramp_compare|klone|ckpt-g2|ckpt-gpu|COMPLETED|2026-07-28T08:16:46|2026-07-28T08:16:47|2026-07-28T08:47:03|1816|billing=8,cpu=8,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37828485|open_budapest_district5|klone|gpu-l40s|normal|COMPLETED|2026-07-28T09:52:07|2026-07-28T09:52:08|2026-07-28T10:38:43|2795|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37828486|qwen8_budapest_district5|klone|gpu-l40s|normal|COMPLETED|2026-07-28T09:52:07|2026-07-28T09:52:08|2026-07-28T10:38:43|2795|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37828496|qwen32_budapest|klone|gpu-l40s|normal|COMPLETED|2026-07-28T09:52:35|2026-07-28T10:38:46|2026-07-28T11:08:28|1782|billing=8,cpu=8,gres/gpu:l40s=2,gres/gpu=2,mem=64G,node=1|1|0:0
+37828497|molmo_budapest|klone|gpu-l40s|normal|COMPLETED|2026-07-28T09:52:35|2026-07-28T11:41:29|2026-07-28T12:12:40|1871|billing=8,cpu=8,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
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+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T01:48:47|2026-07-29T01:50:48|2026-07-29T02:13:15|1347|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T01:48:49|2026-07-29T01:51:19|2026-07-29T02:13:15|1316|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T01:48:50|2026-07-29T01:51:50|2026-07-29T02:13:11|1281|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T02:01:31|2026-07-29T02:03:32|2026-07-29T02:13:11|579|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T02:01:44|2026-07-29T02:03:58|2026-07-29T02:13:15|557|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T02:14:01|2026-07-29T02:16:04|2026-07-29T08:52:56|23812|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T02:14:02|2026-07-29T02:16:04|2026-07-29T08:26:39|22235|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T02:14:06|2026-07-29T02:16:23|2026-07-29T08:27:09|22246|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T02:14:10|2026-07-29T02:16:23|2026-07-29T08:27:01|22238|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T02:14:11|2026-07-29T02:16:23|2026-07-29T09:41:19|26696|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T08:27:05|2026-07-29T08:29:07|2026-07-29T09:41:06|4319|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T08:27:34|2026-07-29T08:29:35|2026-07-29T08:52:51|1396|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T08:28:04|2026-07-29T08:30:11|2026-07-29T09:22:24|3133|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T08:53:00|2026-07-29T08:55:07|2026-07-29T10:20:47|5140|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T08:53:45|2026-07-29T08:55:47|2026-07-29T09:41:06|2719|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37874763|sal-paterson|klone|gpu-l40s|normal|FAILED|2026-07-29T08:56:28|2026-07-29T08:56:29|2026-07-29T08:58:16|107|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37875114|sal-paterson|klone|gpu-l40s|normal|FAILED|2026-07-29T09:15:57|2026-07-29T09:15:58|2026-07-29T09:20:01|243|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T09:23:14|2026-07-29T09:25:16|2026-07-29T09:41:06|950|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37876258|sal-paterson|klone|gpu-l40s|normal|COMPLETED|2026-07-29T09:29:41|2026-07-29T09:29:43|2026-07-29T13:22:31|13968|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T09:41:57|2026-07-29T09:43:58|2026-07-29T10:21:08|2230|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T09:41:59|2026-07-29T09:44:02|2026-07-29T10:21:49|2267|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T09:42:02|2026-07-29T09:44:06|2026-07-29T12:52:57|11331|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T09:42:17|2026-07-29T09:44:19|2026-07-29T12:53:49|11370|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T10:21:53|2026-07-29T10:23:55|2026-07-29T12:53:45|8990|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T10:22:02|2026-07-29T10:24:29|2026-07-29T11:00:37|2168|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T10:22:23|2026-07-29T10:24:29|2026-07-29T11:00:27|2158|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T11:01:20|2026-07-29T11:03:29|2026-07-29T12:05:06|3697|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T11:01:32|2026-07-29T11:04:00|2026-07-29T12:52:57|6537|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:05:57|2026-07-29T12:08:05|2026-07-29T12:52:57|2692|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:53:01|2026-07-29T12:55:14|2026-07-29T12:55:27|13|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:53:49|2026-07-29T12:55:52|2026-07-29T12:59:04|192|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:53:49|2026-07-29T12:55:52|2026-07-29T12:59:46|234|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:54:45|2026-07-29T12:56:52|2026-07-29T12:57:48|56|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:54:46|2026-07-29T12:57:09|2026-07-29T13:05:49|520|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:56:19|2026-07-29T12:58:42|2026-07-29T13:06:08|446|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T12:58:41|2026-07-29T13:00:53|2026-07-29T13:08:35|462|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:00:09|2026-07-29T13:03:19|2026-07-29T13:08:35|316|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:00:52|2026-07-29T13:04:26|2026-07-29T13:05:26|60|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:06:17|2026-07-29T13:09:52|2026-07-29T13:13:38|226|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:06:46|2026-07-29T13:09:58|2026-07-29T13:15:34|336|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:06:58|2026-07-29T13:10:26|2026-07-29T13:13:38|192|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:09:27|2026-07-29T13:11:30|2026-07-29T13:21:23|593|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:09:47|2026-07-29T13:11:52|2026-07-29T13:15:38|226|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:14:42|2026-07-29T13:16:53|2026-07-29T13:23:00|367|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:14:44|2026-07-29T13:16:53|2026-07-29T13:23:00|367|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:16:25|2026-07-29T13:18:37|2026-07-29T13:21:53|196|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:16:29|2026-07-29T13:18:37|2026-07-29T13:28:45|608|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:22:14|2026-07-29T13:24:27|2026-07-29T13:28:45|258|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:22:44|2026-07-29T13:26:13|2026-07-29T13:27:02|49|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:23:03|2026-07-29T13:26:29|2026-07-29T13:30:44|255|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:24:13|2026-07-29T13:26:29|2026-07-29T13:30:44|255|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:27:53|2026-07-29T13:30:02|2026-07-29T13:30:47|45|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:29:40|2026-07-29T13:31:41|2026-07-29T13:33:07|86|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:29:57|2026-07-29T13:32:39|2026-07-29T13:44:32|713|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37888131|sal-paterson|klone|gpu-l40s|normal|COMPLETED|2026-07-29T13:30:08|2026-07-29T13:30:09|2026-07-29T13:38:59|530|billing=16,cpu=16,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:30:46|2026-07-29T13:32:53|2026-07-29T13:44:32|699|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:30:46|2026-07-29T13:33:12|2026-07-29T13:44:58|706|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745361|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:31:43|2026-07-29T13:33:47|2026-07-29T13:48:10|863|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:34:13|2026-07-29T13:36:21|2026-07-29T13:42:27|366|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:43:17|2026-07-29T13:45:29|2026-07-29T13:45:40|11|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:45:22|2026-07-29T13:47:30|2026-07-29T13:49:32|122|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:45:43|2026-07-29T13:47:58|2026-07-29T13:56:29|511|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:45:52|2026-07-29T13:47:58|2026-07-29T13:57:00|542|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745363|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-07-29T13:46:32|2026-07-29T13:48:36|2026-07-29T14:20:26|1910|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
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+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T03:50:48|2026-08-15T03:53:43|2026-08-15T03:54:11|28|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T03:51:13|2026-08-15T03:53:43|2026-08-15T03:54:11|28|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T03:52:15|2026-08-15T03:55:17|2026-08-15T04:02:22|425|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T03:55:02|2026-08-15T03:57:27|2026-08-15T04:02:20|293|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T03:55:10|2026-08-15T04:00:45|2026-08-15T04:01:15|30|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:01:25|2026-08-15T04:03:56|2026-08-15T04:04:18|22|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:03:11|2026-08-15T04:05:32|2026-08-15T04:07:21|109|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:03:12|2026-08-15T04:06:03|2026-08-15T04:10:21|258|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:05:14|2026-08-15T04:08:09|2026-08-15T04:10:21|132|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:08:16|2026-08-15T04:10:48|2026-08-15T04:10:57|9|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:11:12|2026-08-15T04:14:00|2026-08-15T04:14:21|21|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:11:14|2026-08-15T04:15:22|2026-08-15T04:17:22|120|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:11:48|2026-08-15T04:15:22|2026-08-15T04:21:23|361|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:15:14|2026-08-15T04:20:18|2026-08-15T04:20:22|4|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:18:18|2026-08-15T04:20:50|2026-08-15T04:21:23|33|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:21:12|2026-08-15T04:23:25|2026-08-15T04:24:22|57|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:22:14|2026-08-15T04:24:28|2026-08-15T04:25:22|54|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:22:25|2026-08-15T04:25:00|2026-08-15T04:25:22|22|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:25:18|2026-08-15T04:28:06|2026-08-15T04:28:23|17|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-15T04:26:13|2026-08-15T04:29:08|2026-08-15T04:29:23|15|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|0:0
+37745362|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-08-15T04:26:18|2026-08-15T04:29:23|2026-08-15T04:29:36|13|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37745358|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-08-15T04:29:14|2026-08-15T04:32:47|2026-08-15T04:32:48|1|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|1:0
+37745360|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|FAILED|2026-08-15T04:30:21|2026-08-15T04:33:19|2026-08-15T04:33:20|1|billing=12,cpu=12,gres/gpu:l40=1,gres/gpu=1,mem=64G,node=1|1|1:0
+38541302|rampnet_env_build|klone|ckpt-all|ckpt-gpu|FAILED|2026-08-15T08:09:11|2026-08-15T08:09:12|2026-08-15T08:09:14|2|billing=8,cpu=8,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|127:0
+38541308|rampnet_env_build|klone|ckpt-all|ckpt-gpu|COMPLETED|2026-08-15T08:10:04|2026-08-15T08:10:05|2026-08-15T09:00:57|3052|billing=8,cpu=8,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38541865|rampnet_run_a_84|klone|ckpt-all|ckpt-gpu|REQUEUED|2026-08-15T09:17:44|2026-08-15T09:17:45|2026-08-15T17:30:04|29539|billing=48,cpu=48,gres/gpu:a40=16,gres/gpu=16,mem=192G,node=4|4|0:0
+38541865|rampnet_run_a_84|klone|ckpt-all|ckpt-gpu|PREEMPTED|2026-08-15T17:31:06|2026-08-15T17:33:10|2026-08-15T18:32:45|3575|billing=48,cpu=48,gres/gpu:a40=16,gres/gpu=16,mem=192G,node=4|4|0:0
+38541865|rampnet_run_a_84|klone|ckpt-all|ckpt-gpu|REQUEUED|2026-08-15T18:33:46|2026-08-15T18:36:12|2026-08-16T02:45:24|29352|billing=48,cpu=48,gres/gpu:a40=16,gres/gpu=16,mem=192G,node=4|4|0:0
+38541865|rampnet_run_a_84|klone|ckpt-all|ckpt-gpu|FAILED|2026-08-16T02:46:25|2026-08-16T02:48:26|2026-08-16T05:35:30|10024|billing=48,cpu=48,gres/gpu:a40=16,gres/gpu=16,mem=192G,node=4|4|1:0
+38566410|rampnet_env_build|klone|ckpt-all|ckpt-gpu|COMPLETED|2026-08-16T06:36:57|2026-08-16T06:36:58|2026-08-16T06:52:36|938|billing=8,cpu=8,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38566413|rampnet_run_a_84|klone|ckpt-all|ckpt-gpu|REQUEUED|2026-08-16T06:37:38|2026-08-16T06:53:40|2026-08-16T15:00:25|29205|billing=48,cpu=48,gres/gpu:a40=16,gres/gpu=16,mem=192G,node=4|4|0:0
+38566413|rampnet_run_a_84|klone|ckpt-all|ckpt-gpu|COMPLETED|2026-08-16T15:01:25|2026-08-16T15:03:28|2026-08-16T19:50:46|17238|billing=48,cpu=48,gres/gpu:a40=16,gres/gpu=16,mem=192G,node=4|4|0:0
+38608870|yolo_env_build|klone|ckpt-all|ckpt|FAILED|2026-08-17T14:32:22|2026-08-17T14:32:28|2026-08-17T14:34:02|94|billing=8,cpu=8,mem=32G,node=1|1|1:0
+38611711|yolo_env_build|klone|ckpt-all|ckpt|COMPLETED|2026-08-17T15:47:01|2026-08-17T15:47:21|2026-08-17T16:06:44|1163|billing=8,cpu=8,mem=32G,node=1|1|0:0
+38629391|probe_makelab2|klone|ckpt-all|ckpt|COMPLETED|2026-08-18T07:10:20|2026-08-18T07:10:32|2026-08-18T07:10:32|0|billing=1,cpu=1,mem=2G,node=1|1|0:0
+38629487|arch_capnav|klone|ckpt-all|ckpt|CANCELLED by 197096|2026-08-18T07:37:16|2026-08-18T07:37:32|2026-08-18T07:49:03|691|billing=8,cpu=8,mem=16G,node=1|1|0:0
+38629488|arch_jsomeara|klone|ckpt-all|ckpt|CANCELLED by 197096|2026-08-18T07:37:16|2026-08-18T07:37:32|2026-08-18T07:49:03|691|billing=8,cpu=8,mem=16G,node=1|1|0:0
+38629525|arch_capnav|klone|ckpt-all|ckpt|COMPLETED|2026-08-18T07:49:59|2026-08-18T07:50:16|2026-08-18T07:50:39|23|billing=8,cpu=8,mem=16G,node=1|1|0:0
+38629526|arch_jsomeara|klone|ckpt-all|ckpt|COMPLETED|2026-08-18T07:49:59|2026-08-18T07:50:16|2026-08-18T07:50:34|18|billing=8,cpu=8,mem=16G,node=1|1|0:0
+38629538|arch_capnav|klone|ckpt-all|ckpt|COMPLETED|2026-08-18T07:52:21|2026-08-18T07:52:49|2026-08-18T08:06:10|801|billing=8,cpu=8,mem=16G,node=1|1|0:0
+38629539|arch_jsomeara|klone|ckpt-all|ckpt|COMPLETED|2026-08-18T07:52:21|2026-08-18T07:52:49|2026-08-18T11:08:58|11769|billing=8,cpu=8,mem=16G,node=1|1|0:0
+38629546|xfer_ckpts|klone|ckpt-all|ckpt|COMPLETED|2026-08-18T07:53:29|2026-08-18T07:53:50|2026-08-18T07:56:54|184|billing=4,cpu=4,mem=8G,node=1|1|0:0
+38629567|stage_manual_panos|klone|ckpt-all|ckpt|COMPLETED|2026-08-18T07:58:05|2026-08-18T07:58:25|2026-08-18T08:02:51|266|billing=4,cpu=4,mem=8G,node=1|1|0:0
+38629582_1|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:10|608|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38629582_2|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:04|602|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38629582_3|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:25|623|billing=4,cpu=4,gres/gpu:p100=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38629582_4|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:25|623|billing=4,cpu=4,gres/gpu:p100=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38629582_5|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:25|623|billing=4,cpu=4,gres/gpu:p100=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38629582_6|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:20|618|billing=4,cpu=4,gres/gpu:p100=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38629582_7|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:20|618|billing=4,cpu=4,gres/gpu:p100=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38629582_8|eval_run_a_84|klone|ckpt|ckpt-gpu|FAILED|2026-08-18T08:01:30|2026-08-18T08:04:02|2026-08-18T08:14:20|618|billing=4,cpu=4,gres/gpu:p100=1,gres/gpu=1,mem=32G,node=1|1|1:0
+38632718|jsomeara_sums|klone|ckpt|ckpt|COMPLETED|2026-08-18T11:15:16|2026-08-18T11:15:33|2026-08-18T11:40:11|1478|billing=8,cpu=8,mem=8G,node=1|1|0:0
+38633254_1|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T12:01:23|696|billing=4,cpu=4,gres/gpu:2080ti=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38633254_2|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T11:59:57|610|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38633254_3|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T12:04:17|870|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38633254_4|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T12:03:08|801|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38633254_5|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T12:04:17|870|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38633254_6|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T12:03:51|844|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38633254_7|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T12:04:14|867|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38633254_8|eval_run_a_84|klone|ckpt|ckpt-gpu|COMPLETED|2026-08-18T11:49:46|2026-08-18T11:49:47|2026-08-18T12:03:28|821|billing=4,cpu=4,gres/gpu:a40=1,gres/gpu=1,mem=32G,node=1|1|0:0
+38640313|rampnet_cosine_rung_135|klone|ckpt-all|ckpt-gpu|PREEMPTED|2026-08-18T16:51:16|2026-08-19T01:21:56|2026-08-19T02:55:53|5637|billing=48,cpu=48,gres/gpu:a40=16,gres/gpu=16,mem=192G,node=4|4|0:0
+38640313|rampnet_cosine_rung_135|klone|ckpt-all|ckpt-gpu|PENDING|2026-08-19T02:56:52|Unknown|Unknown|0||4|0:0
+38657533|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|PREEMPTED|2026-08-19T06:10:44|2026-08-19T06:12:02|2026-08-19T06:20:10|488|billing=12,cpu=12,gres/gpu:l40s=1,gres/gpu=1,mem=64G,node=1|1|0:0
+38657535|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|RUNNING|2026-08-19T06:10:44|2026-08-19T06:12:33|Unknown|1233|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
+38657533|yolo_curb_ramp_train|klone|ckpt-g2|ckpt-gpu|RUNNING|2026-08-19T06:21:01|2026-08-19T06:23:15|Unknown|591|billing=12,cpu=12,gres/gpu:h200=1,gres/gpu=1,mem=64G,node=1|1|0:0
diff --git a/docs/model_comparison.md b/docs/model_comparison.md
index 46c3971b..6d95ccaf 100644
--- a/docs/model_comparison.md
+++ b/docs/model_comparison.md
@@ -1570,21 +1570,31 @@ the end of a leg that logged nothing, for the case where the log path existed bu
 be written. A warning after the fact could not have saved these four legs — by the time it
 prints, the tokens are bought and the counts are already unrecoverable.
 
-## Cost accounting for paid models
-
-**Standing rule: every experiment that spends API money records what it spent, at the time
-it runs.** A paper reports cost alongside accuracy, and a token count that wasn't captured
-at run time has to be reconstructed later (or lost). Three layers:
-
-1. **At run time** — `compare.py` accumulates each paid provider's own usage metadata
-   (currently Gemini; local GPU models are free in API terms) and appends one JSONL record
-   per model run — token counts, panos actually scored, detector signature, estimated cost —
-   to `--usage-log` (default **`analysis_out/usage_log.jsonl`**, which is committed;
-   `--usage-log none` disables). Cached panos make no call, so the record is what *that run*
-   actually paid, not what a full run would cost. The append happens in a `finally`, so a leg
+## Cost accounting: what a run cost in time and money
+
+**Standing rule: every experiment on a non-free model or non-free compute records both its
+wall-clock time and its spend, at the time it runs (#143).** A paper reports cost alongside
+accuracy, and neither number survives being left for later — a re-run reads the detection
+cache, makes no calls and returns in seconds, so it reproduces neither the token counts nor
+the runtime. Three layers, plus a separate ledger for cluster compute:
+
+1. **At run time** — `compare.py` appends one JSONL record per model run to `--usage-log`
+   (default **`analysis_out/usage_log.jsonl`**, which is committed; `--usage-log none`
+   disables). Every leg that spent something gets a row: **wall-clock, model-load seconds,
+   inference seconds, panos actually put through the model and seconds-per-pano always**, and
+   token counts + estimated cost when the provider bills for them (a `paid` flag says which).
+   Cached panos make no call, so the record is what *that run* actually paid, not what a full
+   run would cost — and per-pano figures divide by `panos_called`, never by the bundle size.
+   The append happens in a `finally`, so a leg
    that dies or is interrupted after paying still records its spend — that is the case the
    rule exists for — and a failure to write the file degrades to printing the record rather
    than aborting the comparison.
+   **Free local models get a row too.** OWLv2, Grounding DINO, Qwen, Molmo and the YOLO arms
+   bill no tokens and cost real GPU-hours; before #143 they returned early and left no record
+   at all, which is why their runtimes below are prose transcribed by hand rather than
+   anything a script can re-derive. Two legs deliberately write nothing: a fully cached
+   re-score (it spent nothing) and `--models rampnet`, which replays detections already
+   committed to the bundle rather than running a model.
    Each record also carries **`model_versions`** — the build(s) that actually served the run.
    **A pinned model id is an alias, not a build**: `gemini:gemini-3.7-flash` in `--models`
    resolves to whatever the provider currently serves under that name, and the alias moves.
@@ -1609,6 +1619,86 @@ at run time has to be reconstructed later (or lost). Three layers:
    source others cannot query, while `analysis_out/usage_log.jsonl` is checkable from a
    clean clone.
 
+### Reconcile, or a silent no-write goes unnoticed
+
+Layers 1 and 3 measure the same spend two ways, and until #143 nothing compared them.
+`vertex_usage.py --reconcile` does: it totals the committed ledger per model over the same
+window as the metric query and prints both side by side.
+
+```bash
+python scripts/analysis/vertex_usage.py --days 3 --reconcile
+```
+
+It is the **only** check that catches a leg which ran, billed, and left no row — the #139
+failure. The verdicts are deliberately asymmetric: `billed > ledger` is spend with no record
+and is called out, while `ledger > billed` is odd but harmless (a re-run, or a row stamped
+just outside the window). Tolerance is 2%, because Cloud Monitoring's daily rows are 24 h
+windows ending at the query's time-of-day rather than calendar days, so a leg straddling the
+boundary moves either way. Run it the day a paid leg finishes, not at writing-up time.
+
+It also separates a gap nobody has looked at from one that is already written down. A row
+marked `kind: recovered` is never counted as logged — it was read off this same bill, so
+counting it would compare the bill against itself — but it is totalled in its own column and
+subtracted before the verdict. So #139's 11,940,249 opus tokens now read `ok (1 recovered)`
+rather than raising the same emergency on every run, and only the unexplained remainder gets
+`UNDER`.
+
+### Cluster compute is a fourth ledger
+
+Layers 1–3 cover API money. They say nothing about GPU-hours, which is what most of the
+roster actually costs and the whole of what a Tillicum run costs.
+`scripts/analysis/slurm_usage.py` scrapes `sacct` into **`analysis_out/compute_log.jsonl`**
+— one row per job allocation with elapsed, GPUs, GPU type, GPU-hours, QoS and dollars, priced
+from `COMPUTE_PRICING` in `pricing.py` (verified-only, same discipline as the token table).
+
+```bash
+python scripts/analysis/slurm_usage.py --cluster tillicum --since 2026-07-01
+python scripts/analysis/slurm_usage.py --cluster klone --from-file sacct_klone.txt
+```
+
+Three details that a hand tally gets wrong:
+
+- **`sacct -D`.** By default Slurm reports only the *last* incarnation of a requeued job. Our
+  klone runs live on the preemptable `ckpt` partition — the paper's Stage 2 run was 15
+  preemptions, 44.7 h of compute across 74.6 h of calendar — so without `-D` most of a
+  preempted run's compute silently disappears. Rows are keyed on **(cluster, job id, start)**
+  for the same reason.
+- **GPU-hours = elapsed × N GPUs**, which is how Tillicum bills: an idle GPU in a 2-GPU job
+  costs exactly what a busy one does. `gres/gpu=2` and `gres/gpu:a40=2` are the same GPUs
+  reported twice, so the generic count wins rather than being summed.
+- **Unpriced ≠ free.** klone is $0 because that was checked; a cluster with no entry returns
+  `None`. Only one of those is safe to put in a paper.
+
+Unlike tokens, this half is **partly back-fillable** — `sacct` retains job records — which is
+the argument for running it now rather than at writing-up time. `--save-raw` keeps the exact
+dump a run parsed, so committing it makes the numbers re-derivable by someone with no cluster
+account.
+
+### The ledger has to outlive the run
+
+`--usage-log` used to default to a path derived from the *running file's* checkout. From a
+linked worktree that is the worktree — so a leg run from a scratch worktree wrote its ledger
+there, and the ledger died with the worktree. That is how the #139 `claude-opus-5` leg spent
+$70.41 and left no row.
+
+The #119 guard cannot catch this, and it is worth being precise about why: it proves a log
+path was **accepted**, not that the file it wrote still **exists**. The operator followed the
+rule and lost the record anyway. Nor would promoting the rule into `CLAUDE.md` have helped —
+this is not a discipline failure.
+
+Both ledgers now resolve through `git rev-parse --git-common-dir`, which every worktree of a
+repo shares, so they all append to one canonical file in the main checkout; an explicit
+`--usage-log` pointing into a worktree warns; and each logged leg prints the **absolute** path
+plus the running total, so a run that logged somewhere unexpected is visible while someone is
+still watching. It falls back to the local checkout whenever git can't answer (a tarball, an
+HF clone) — bookkeeping must never be the reason a run refuses to start.
+
+The credentials resolve the same way. `compare.py` and `vertex_usage.py` read `.env` from the
+worktree they are running in *and* from the main checkout, worktree first so a deliberate
+local override still wins: a scratch worktree does not carry the `.env`, and a leg that cannot
+find `GOOGLE_CLOUD_PROJECT` or an API key from the place it was most likely launched is a leg
+that does not run — including the recovery tool itself.
+
 **Measured: the complete Gemini history of this benchmark** (Cloud Monitoring,
 2026-08-15; every Gemini leg ever run on the project — richmond/bend 07-23/24 onward —
 falls inside the retention window):
diff --git a/docs/replication.md b/docs/replication.md
index 883c7077..4bf73374 100644
--- a/docs/replication.md
+++ b/docs/replication.md
@@ -17,6 +17,7 @@ lives on one machine.
 | `analysis_out/op_cache/*.json` (RampNet low-floor detections) | ~KB | **committed** | ✅ |
 | `analysis_out/*.json` (derived results) | ~100 KB | **committed** | ✅ |
 | `analysis_out/usage_log.jsonl` (paid-run spend) | ~KB | **committed** ✅ | ⚠️ starts 2026-08-18; see the Claude section |
+| `analysis_out/compute_log.jsonl` (cluster GPU-hours + $) | ~KB | **committed** ✅ | ⚠️ needs a `sacct` pull per cluster (#143); klone back-filled 2026-08-19 (3,991 rows), Tillicum pending |
 | `benchmark/miss_taxonomy_46/*.json` (human verdicts) | small | **committed** | ✅ |
 | RampNet model weights | — | HF `projectsidewalk/rampnet-model` | ✅ |
 | Stage 1 dataset | **463 GB** (test split ~44 GB) | HF `projectsidewalk/rampnet-dataset` | ✅ |
diff --git a/docs/tillicum.md b/docs/tillicum.md
index 1b886560..2ac2906a 100644
--- a/docs/tillicum.md
+++ b/docs/tillicum.md
@@ -135,7 +135,12 @@ At that ceiling:
 | 2 GPUs | ~833 |
 | 8 GPUs (full node) | ~208 |
 
-Monitor with `hyakusage`.
+Monitor with `hyakusage`. **Record it too**: `hyakusage` is a live view, not a record, and
+the numbers in this file were transcribed by hand, per job, when someone remembered.
+`scripts/analysis/slurm_usage.py` writes them to `analysis_out/compute_log.jsonl` from
+`sacct` instead — GPU-hours and dollars per job, priced from `COMPUTE_PRICING` in
+`scripts/model_comparison/pricing.py`, which carries the rates below with their as-of
+dates. Run it after a job finishes; `sacct` retention is finite (#143).
 
 ### `debug` is free — but the two cost tools disagree (measured 2026-07-31)
 
diff --git a/rampnet/ledger.py b/rampnet/ledger.py
new file mode 100644
index 00000000..7f0086f4
--- /dev/null
+++ b/rampnet/ledger.py
@@ -0,0 +1,128 @@
+"""Where a cost record goes, and how to total one.
+
+Shared by both ledgers — the per-run API/time record (`compare.py --usage-log`
+-> `analysis_out/usage_log.jsonl`) and the per-job compute record
+(`scripts/analysis/slurm_usage.py` -> `analysis_out/compute_log.jsonl`) — because
+the way to lose a cost record is the same for both, and it has already happened
+twice.
+
+**A ledger is not a commit.** #123's four Claude legs spent $28.82 and left no
+record. #139's claude-opus-5 leg spent $70.41 and left no record: it ran from a
+scratch worktree, so the default log path resolved *inside that worktree*, and the
+worktree was deleted. Neither loss was visible to the #119 guard, which proves a
+log path was accepted and says nothing about whether the file survives.
+
+Hence `canonical_repo_root`: git's *common* dir is shared by every worktree of a
+repo, so its parent is the one checkout that outlives them all, and every worktree
+appends to a single ledger in the main checkout.
+"""
+import json
+import subprocess
+from pathlib import Path
+
+#: A row's provenance. Absent means ``MEASURED``: every row written before this
+#: convention existed was taken at run time.
+MEASURED = "measured"
+#: Reconstructed after the fact from the provider's billing telemetry, because layer 1
+#: failed to write and the spend would otherwise be absent from every total.
+RECOVERED = "recovered"
+
+
+def row_kind(rec):
+    """``MEASURED`` or ``RECOVERED`` for one ledger row.
+
+    **A recovered row is not a measurement, and the difference matters for
+    reconciliation.** It carries real money and real token counts, but it was read
+    *off the bill*, so:
+
+    - it has **no per-split attribution** — recovery is per-model per-day, and which
+      split spent what is permanently gone;
+    - it must **never count as a measurement in reconciliation**.
+      ``vertex_usage.reconcile`` compares the ledger against that same bill, so
+      counting a recovered row as "logged" makes the bill agree with itself and
+      reports ``ok`` for precisely the gap the check exists to find. It is reported
+      in a column of its own and subtracted before the verdict, so a gap already
+      written down is not re-raised as an emergency on every run either.
+
+    Totals still include it — a cost table that omits recovered spend is wrong by the
+    whole amount, which for #139 was a factor of about 200.
+    """
+    return rec.get("kind") or MEASURED
+
+
+def canonical_repo_root(start):
+    """The MAIN checkout for ``start``, even when ``start`` is a linked worktree.
+
+    Falls back to ``start`` whenever git cannot answer — a tarball, an HF clone,
+    no git on PATH. Bookkeeping must never be the reason a run refuses to start."""
+    start = Path(start)
+    try:
+        proc = subprocess.run(["git", "rev-parse", "--git-common-dir"],
+                              cwd=str(start), capture_output=True, text=True,
+                              timeout=10)
+    except (OSError, subprocess.SubprocessError):
+        return start
+    if proc.returncode != 0 or not proc.stdout.strip():
+        return start
+    # git returns a bare ".git" when run from the root of a normal checkout and an
+    # absolute path from a worktree; Path handles both.
+    root = (start / proc.stdout.strip()).resolve().parent
+    return root if root.is_dir() else start
+
+
+def read_rows(path):
+    """Every parseable row in a JSONL ledger, or None if it cannot be read.
+
+    Tolerant by construction: these files are append-only and committed, so they
+    hold rows written by older versions of the code, and one unparseable line must
+    never cost a reader the rest of the record."""
+    rows = []
+    try:
+        with open(path, encoding="utf-8") as f:
+            for line in f:
+                line = line.strip()
+                if not line:
+                    continue
+                try:
+                    rows.append(json.loads(line))
+                except ValueError:
+                    continue
+    except OSError:
+        return None
+    return rows
+
+
+def append_rows(path, rows):
+    """Append rows to a JSONL ledger, creating it if needed.
+
+    newline="" so a Windows run appends LF, not CRLF: these ledgers are
+    append-only and byte-compared in review, and a CRLF line silently breaks that
+    (the same defect imagery_manifest.py was fixed for)."""
+    path = Path(path)
+    if path.parent:
+        path.parent.mkdir(parents=True, exist_ok=True)
+    with open(path, "a", encoding="utf-8", newline="") as f:
+        for rec in rows:
+            f.write(json.dumps(rec) + "\n")
+
+
+def ledger_totals(path):
+    """(rows, total USD, wall-clock hours, recovered USD) in an existing ledger.
+
+    Printed after every logged leg so a run that wrote somewhere unexpected is
+    visible *while someone is still watching*, rather than weeks later when the
+    provider's usage telemetry has aged out. Rows predating #143 carry no timing
+    keys and free rows carry no cost; both are counted as the zero they are.
+
+    ``recovered`` is the part of the USD total that came from :data:`RECOVERED` rows
+    rather than from measurement. It is reported separately, not subtracted: the
+    money was really spent, but nobody timed it and no split can claim it, so a
+    reader should never mistake it for an as-run number."""
+    rows = read_rows(path)
+    if rows is None:
+        return None
+    usd = sum(r.get("est_cost_usd") or 0 for r in rows)
+    seconds = sum(r.get("elapsed_s") or 0 for r in rows)
+    recovered = sum(r.get("est_cost_usd") or 0
+                    for r in rows if row_kind(r) == RECOVERED)
+    return len(rows), usd, seconds / 3600.0, recovered
diff --git a/scripts/analysis/slurm_usage.py b/scripts/analysis/slurm_usage.py
new file mode 100644
index 00000000..52f511a4
--- /dev/null
+++ b/scripts/analysis/slurm_usage.py
@@ -0,0 +1,344 @@
+"""What our cluster jobs cost, in GPU-hours and dollars, from Slurm's own accounting.
+
+The API half of an experiment's cost has been recorded per run since #119
+(`compare.py --usage-log` -> `analysis_out/usage_log.jsonl`). The compute half was
+not recorded anywhere: Tillicum's $0.90/GPU-hour and klone's GPU-hours lived only
+as prose in `docs/tillicum.md`, written by hand, per job, when someone remembered.
+This is the missing ledger (#143).
+
+Unlike API tokens, this half is **partly back-fillable** — `sacct` retains job
+records — which is the whole reason to run it now rather than later.
+
+    # on a login node (klone, tillicum):
+    python scripts/analysis/slurm_usage.py --cluster tillicum --since 2026-07-01
+
+    # from a machine that cannot reach the cluster: save the dump there, parse here
+    ssh klone 'sacct -X -D -P -n -u $USER -S 2026-07-01 \\
+        --format=JobID,JobName%60,Cluster,Partition,QOS,State,Submit,Start,End,\\
+ElapsedRaw,AllocTRES,NNodes,ExitCode' > sacct_klone.txt
+    python scripts/analysis/slurm_usage.py --cluster klone --from-file sacct_klone.txt
+
+`--print-command` prints that command for the current settings rather than guessing.
+
+**Replication:** `sacct` output is retrievable only by someone with an account on the
+cluster, so `--save-raw` writes the exact dump a run parsed. Commit it next to the
+numbers it produced (`docs/data/compute/`) and the ledger becomes re-derivable from a
+clean clone with no cluster access — the same reason `usage_log.jsonl` is committed
+while `vertex_usage.py` needs cloud credentials.
+
+Three things this gets right that a hand tally does not:
+
+- **`-D` (duplicates).** Slurm shows only the last incarnation of a requeued job by
+  default. Our klone runs live on the preemptable `ckpt` partition — the paper's
+  Stage 2 run was 15 preemptions and 44.7 h of active compute across 74.6 h of
+  calendar — so without `-D` the compute is undercounted by whatever the earlier
+  incarnations burned.
+- **GPU-hours = elapsed x N GPUs**, which is how Tillicum bills: an idle GPU in a
+  2-GPU job costs exactly as much as a busy one.
+- **Idempotent.** Rows are keyed by (cluster, job id, start), so re-running after
+  more jobs finish appends only what is new. A job first recorded while RUNNING is
+  re-appended once it reaches a terminal state, so every total reads the ledger
+  through `latest_rows`, which keeps the last row per key.
+"""
+import argparse
+import os
+import re
+import subprocess
+import sys
+from collections import defaultdict
+from datetime import datetime, timezone
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[2]
+sys.path.insert(0, str(REPO))
+sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "model_comparison"))
+from rampnet import ledger  # noqa: E402
+from pricing import compute_price_for, estimate_compute_cost  # noqa: E402
+
+DEFAULT_COMPUTE_LOG_REL = os.path.join("analysis_out", "compute_log.jsonl")
+
+# Pinned, because the parser indexes by position: a caller who changes one must
+# change the other. %60 widens JobName, which sacct otherwise truncates to 8 chars
+# and would make every job name in the ledger useless.
+SACCT_FIELDS = ("JobID", "JobName%60", "Cluster", "Partition", "QOS", "State",
+                "Submit", "Start", "End", "ElapsedRaw", "AllocTRES", "NNodes",
+                "ExitCode")
+COLUMNS = [f.split("%")[0] for f in SACCT_FIELDS]
+
+# Both spellings Slurm uses: `gres/gpu=2` and the typed `gres/gpu:a40=2`. A job
+# usually reports both, which is why the generic count wins rather than being added.
+GPU_TRES = re.compile(r"gres/gpu(?::([^=,]+))?=(\d+)")
+
+# Terminal from the accounting point of view: the elapsed time will not grow.
+# REQUEUED is one of them: the incarnation under that state has an End time and a
+# fixed elapsed, and the next incarnation gets its own (job id, start) key.
+TERMINAL_STATES = ("COMPLETED", "FAILED", "CANCELLED", "TIMEOUT", "PREEMPTED",
+                   "NODE_FAIL", "OUT_OF_MEMORY", "BOOT_FAIL", "DEADLINE", "REVOKED",
+                   "REQUEUED")
+
+
+def sacct_command(user, since, until=None):
+    cmd = ["sacct", "-X", "-D", "-P", "-n", "-u", user, "-S", since,
+           "--format=" + ",".join(SACCT_FIELDS)]
+    if until:
+        cmd += ["-E", until]
+    return cmd
+
+
+def gpus_from_tres(tres):
+    """(GPU count, GPU type or None) from an AllocTRES string.
+
+    The generic ``gres/gpu=N`` wins over the typed ``gres/gpu:a40=N`` because
+    Slurm reports both for the same GPUs; summing them would double every job."""
+    generic, typed = 0, defaultdict(int)
+    for gpu_type, count in GPU_TRES.findall(tres or ""):
+        if gpu_type:
+            typed[gpu_type] += int(count)
+        else:
+            generic = max(generic, int(count))
+    return (generic or sum(typed.values())), (",".join(sorted(typed)) or None)
+
+
+def is_terminal(state):
+    # "CANCELLED by 12345" is one state with a suffix, so match on the head.
+    return (state or "").split()[0].upper() in TERMINAL_STATES if state else False
+
+
+def parse_sacct(text, cluster=None, user=None):
+    """Rows for one ledger, from `sacct -P -n` output.
+
+    ``cluster`` overrides sacct's own Cluster column, which reports the Slurm
+    cluster name — that is what we want when they agree and a lie when a site
+    names its cluster something other than how we price it."""
+    rows, overridden = [], set()
+    for line in text.splitlines():
+        line = line.strip()
+        if not line:
+            continue
+        parts = line.split("|")
+        if len(parts) != len(COLUMNS):
+            continue  # a header, a warning, a wrapped line: not a job record
+        rec = dict(zip(COLUMNS, parts))
+        elapsed_s = int(rec["ElapsedRaw"]) if rec["ElapsedRaw"].isdigit() else 0
+        gpus, gpu_type = gpus_from_tres(rec["AllocTRES"])
+        gpu_hours = elapsed_s / 3600.0 * gpus
+        name = (cluster or rec["Cluster"] or "").lower()
+        if cluster and rec["Cluster"] and rec["Cluster"].lower() != cluster.lower():
+            overridden.add(rec["Cluster"])
+        cost = estimate_compute_cost(name, gpu_hours, rec["QOS"])
+        price = compute_price_for(name)
+        rows.append({
+            "cluster": name,
+            "job_id": rec["JobID"],
+            "job_name": rec["JobName"],
+            "user": user,
+            "partition": rec["Partition"] or None,
+            "qos": rec["QOS"] or None,
+            "state": rec["State"],
+            "submit": rec["Submit"] or None,
+            "start": rec["Start"] or None,
+            "end": rec["End"] or None,
+            # Named to match usage_log.jsonl so one reader can total both ledgers.
+            "elapsed_s": elapsed_s,
+            "nodes": int(rec["NNodes"]) if rec["NNodes"].isdigit() else None,
+            "gpus": gpus,
+            "gpu_type": gpu_type,
+            "gpu_hours": round(gpu_hours, 4),
+            "exit_code": rec["ExitCode"] or None,
+            "est_cost_usd": round(cost, 4) if cost is not None else None,
+            # The rate and the date it was checked, not the whole pricing entry:
+            # this ledger runs to thousands of rows (3,991 on klone alone, because
+            # ckpt requeues), and embedding the full table in each one was 1.7 MB of
+            # the 2.6 MB file. The table itself, caveats included, is versioned in
+            # scripts/model_comparison/pricing.py.
+            "rate_usd_per_gpu_hour": (price or {}).get("usd_per_gpu_hour"),
+            "rate_as_of": (price or {}).get("as_of"),
+        })
+    if overridden:
+        # Silently restamping another cluster's jobs would price them at the wrong
+        # rate and attribute their GPU-hours to the wrong machine -- and a dump can
+        # legitimately span clusters. Loud, because nothing downstream can detect it.
+        print(f"WARNING: --cluster {cluster} overrides the Cluster column on rows "
+              f"reporting {', '.join(sorted(overridden))}. Those jobs are now priced "
+              f"and attributed as {cluster}. Drop --cluster to trust sacct's own "
+              f"names.")
+    return rows
+
+
+def row_key(rec):
+    """(cluster, job id, start) — not the job id alone.
+
+    With `-D` a requeued job appears once per incarnation under the same id, and
+    on `ckpt` that is routine: collapsing them on job id would throw away most of
+    a preempted run's compute."""
+    return (rec.get("cluster"), rec.get("job_id"), rec.get("start"))
+
+
+def new_rows(parsed, existing):
+    """The rows worth appending: ones never seen, plus ones whose stored state was
+    still non-terminal and has since finished."""
+    seen = {}
+    for rec in existing or []:
+        seen[row_key(rec)] = rec
+    out = []
+    for rec in parsed:
+        prior = seen.get(row_key(rec))
+        if prior is None:
+            out.append(rec)
+        elif not is_terminal(prior.get("state")) and is_terminal(rec.get("state")):
+            out.append(rec)
+    return out
+
+
+def latest_rows(rows):
+    """The last row per key, which is what any total has to read.
+
+    `new_rows` re-appends a job that was first recorded while RUNNING, so the
+    ledger holds both the understated row and the finished one. Summing every row
+    counts that job twice. The key is (cluster, job id, start), so genuinely
+    separate requeued incarnations are untouched."""
+    latest = {}
+    for rec in rows:
+        latest[row_key(rec)] = rec
+    return list(latest.values())
+
+
+def summarize(rows):
+    """Per-cluster totals: jobs, GPU-hours, dollars. What a paper's methods
+    section quotes, and what `hyakusage` is checked against."""
+    by_cluster = defaultdict(lambda: {"jobs": 0, "gpu_hours": 0.0, "usd": 0.0,
+                                      "elapsed_h": 0.0, "unpriced": 0})
+    for rec in latest_rows(rows):
+        agg = by_cluster[rec.get("cluster") or "?"]
+        agg["jobs"] += 1
+        agg["gpu_hours"] += rec.get("gpu_hours") or 0
+        agg["elapsed_h"] += (rec.get("elapsed_s") or 0) / 3600.0
+        if rec.get("est_cost_usd") is None:
+            agg["unpriced"] += 1
+        else:
+            agg["usd"] += rec["est_cost_usd"]
+    return dict(by_cluster)
+
+
+def print_by_name(rows, top=15):
+    """GPU-hours per job name.
+
+    The ledger records every job on the account, including other projects' -- a
+    complete measurement, with attribution left to the reader rather than baked
+    into the durable artifact by a filter chosen once. This is how the reader sees
+    the composition immediately instead of summing the wrong thing."""
+    agg = defaultdict(lambda: [0, 0.0, 0.0])
+    for rec in latest_rows(rows):
+        a = agg[rec.get("job_name") or "?"]
+        a[0] += 1
+        a[1] += rec.get("gpu_hours") or 0
+        a[2] += rec.get("est_cost_usd") or 0
+    ranked = sorted(agg.items(), key=lambda kv: -kv[1][1])
+    print(f"\n{'job name':<34} {'jobs':>6} {'GPU-h':>10} {'est $':>9}")
+    print("-" * 62)
+    for name, (jobs, gpu_h, usd) in ranked[:top]:
+        print(f"{name:<34.34} {jobs:>6,} {gpu_h:>10,.1f} {usd:>9,.2f}")
+    if len(ranked) > top:
+        rest = ranked[top:]
+        print(f"{f'... {len(rest)} more job name(s)':<34} "
+              f"{sum(a[0] for _, a in rest):>6,} {sum(a[1] for _, a in rest):>10,.1f} "
+              f"{sum(a[2] for _, a in rest):>9,.2f}")
+
+
+def print_summary(rows, title):
+    print(f"\n{title}")
+    print(f"{'cluster':<12} {'jobs':>6} {'GPU-h':>10} {'wall-h':>9} {'est $':>9}")
+    print("-" * 50)
+    for cluster, agg in sorted(summarize(rows).items()):
+        unpriced = f"  ({agg['unpriced']} unpriced)" if agg["unpriced"] else ""
+        print(f"{cluster:<12} {agg['jobs']:>6,} {agg['gpu_hours']:>10,.2f} "
+              f"{agg['elapsed_h']:>9,.2f} {agg['usd']:>9,.2f}{unpriced}")
+
+
+def main():
+    ap = argparse.ArgumentParser(description=__doc__.split("\n", 1)[0])
+    ap.add_argument("--cluster", help="Cluster name for pricing (tillicum, klone). "
+                                      "Defaults to sacct's own Cluster column.")
+    ap.add_argument("--user", default=os.environ.get("USER") or os.environ.get("USERNAME"),
+                    help="Slurm user to query (default: $USER).")
+    ap.add_argument("--since", default="2026-07-01",
+                    help="sacct -S start date (default: 2026-07-01, before the first "
+                         "RampNet cluster run this ledger covers).")
+    ap.add_argument("--until", help="sacct -E end date (default: now).")
+    ap.add_argument("--from-file", help="Parse a saved `sacct -P -n` dump instead of "
+                                        "running sacct (for machines off the cluster).")
+    ap.add_argument("--save-raw", help="Write the sacct output parsed by this run, so "
+                                       "the numbers stay re-derivable without cluster "
+                                       "access. Commit it beside the results.")
+    ap.add_argument("--out", help=f"Ledger to append to (default: "
+                                  f"{DEFAULT_COMPUTE_LOG_REL} in the main checkout).")
+    ap.add_argument("--by-name", action="store_true",
+                    help="Also break the summary down by job name — the ledger holds "
+                         "every job on the account, including other projects'.")
+    ap.add_argument("--dry-run", action="store_true",
+                    help="Print what would be appended; write nothing.")
+    ap.add_argument("--print-command", action="store_true",
+                    help="Print the sacct command for these settings and exit.")
+    args = ap.parse_args()
+
+    if args.print_command:
+        print(" ".join(sacct_command(args.user or "$USER", args.since, args.until)))
+        return 0
+
+    if args.from_file:
+        text = Path(args.from_file).read_text(encoding="utf-8")
+    else:
+        cmd = sacct_command(args.user, args.since, args.until)
+        try:
+            proc = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
+        except (OSError, subprocess.SubprocessError) as e:
+            print(f"could not run sacct ({type(e).__name__}: {e}).\nRun it on a login "
+                  f"node and pass the output with --from-file:\n  "
+                  + " ".join(sacct_command(args.user or "$USER", args.since, args.until)),
+                  file=sys.stderr)
+            return 2
+        if proc.returncode != 0:
+            print(f"sacct failed ({proc.returncode}): {proc.stderr.strip()}", file=sys.stderr)
+            return 2
+        text = proc.stdout
+
+    if args.save_raw:
+        raw = Path(args.save_raw)
+        raw.parent.mkdir(parents=True, exist_ok=True)
+        # newline="" so the dump keeps the cluster's own LF endings on Windows: it is
+        # committed as a replication input and has to stay byte-identical to what
+        # sacct emitted.
+        raw.write_text(text, encoding="utf-8", newline="")
+        print(f"raw sacct output saved to {args.save_raw}")
+
+    rows = parse_sacct(text, cluster=args.cluster, user=args.user)
+    if not rows:
+        print("no job records parsed — check the sacct format and the date range.")
+        return 1
+    print_summary(rows, f"Parsed {len(rows):,} job record(s)")
+    if args.by_name:
+        print_by_name(rows)
+
+    # The ledger belongs in the MAIN checkout: a scratch worktree is deleted when
+    # its session ends, which is how #139's $70.41 vanished (#143).
+    out = args.out or str(ledger.canonical_repo_root(REPO) / DEFAULT_COMPUTE_LOG_REL)
+    existing = ledger.read_rows(out) or []
+    fresh = new_rows(rows, existing)
+    stamped = [dict(r, recorded_at=datetime.now(timezone.utc).isoformat(timespec="seconds"))
+               for r in fresh]
+    if args.dry_run:
+        print(f"\n[dry run] {len(fresh):,} new row(s) would be appended to "
+              f"{os.path.abspath(out)}")
+        return 0
+    if not fresh:
+        print(f"\nnothing new: all {len(rows):,} record(s) already in "
+              f"{os.path.abspath(out)}")
+        return 0
+    ledger.append_rows(out, stamped)
+    print(f"\nappended {len(fresh):,} new row(s) to {os.path.abspath(out)}")
+    print_summary(existing + stamped, "Ledger now holds")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/scripts/analysis/vertex_usage.py b/scripts/analysis/vertex_usage.py
index 62634bf6..60e4b2f6 100644
--- a/scripts/analysis/vertex_usage.py
+++ b/scripts/analysis/vertex_usage.py
@@ -32,7 +32,9 @@
 from pathlib import Path
 
 REPO = Path(__file__).resolve().parents[2]
+sys.path.insert(0, str(REPO))
 sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "model_comparison"))
+from rampnet import ledger  # noqa: E402
 from pricing import estimate_cost, price_for  # noqa: E402
 
 TOKEN_METRIC = "aiplatform.googleapis.com/publisher/online_serving/token_count"
@@ -43,13 +45,19 @@
 
 def _load_dotenv():
     """Reuse compare.py's .env loader so both halves of the harness read the same
-    credentials file. Imported inside the function (the export_model_cache idiom)
-    so the module still imports without the detector stack on the path."""
+    credentials file, from this checkout and from the main checkout it belongs to.
+    Imported inside the function (the export_model_cache idiom) so the module still
+    imports without the detector stack on the path.
+
+    The main checkout matters here for the same reason the ledger does (#143): run
+    from a scratch worktree, which carries no git-ignored `.env`, this script would
+    otherwise exit with "no project" — the tool whose job is to recover a lost spend
+    failing in exactly the situation that loses one."""
     try:
-        from compare import load_dotenv
+        from compare import load_dotenv_for_run
     except ImportError:
         return
-    load_dotenv(str(REPO))
+    load_dotenv_for_run(REPO)
 
 
 def fetch_token_series(project, days):
@@ -102,6 +110,116 @@ def fetch_token_series(project, days):
     return series
 
 
+def ledger_totals_by_model(rows, since=None):
+    """Per-model token totals from usage_log.jsonl rows, for reconciliation.
+
+    ``since`` is an ISO date (YYYY-MM-DD); rows stamped earlier are skipped so the
+    comparison covers the same window the metric query did. Free legs carry no
+    token keys and are skipped: they have nothing to reconcile against a bill.
+
+    **Recovered rows are totalled separately, and that separation is the point.** A
+    recovered row was read off this very bill (``rampnet.ledger.RECOVERED``), so
+    counting it as "logged" would compare the bill against itself and report ``ok``
+    for the exact gap this function exists to find — turning the one check that
+    catches a silent no-write into a check that cannot. It is still worth reporting,
+    because a gap someone has already written down as unmeasured is not the same
+    finding as a gap nobody has looked at; ``reconcile`` subtracts it to get the part
+    that is genuinely unexplained."""
+    out = defaultdict(lambda: defaultdict(float))
+    for rec in rows or []:
+        if not rec.get("input_tokens") and not rec.get("output_tokens"):
+            continue
+        if since and (rec.get("ts") or "")[:10] < since:
+            continue
+        model = rec.get("model_id") or "?"
+        prefix = "recovered_" if ledger.row_kind(rec) == ledger.RECOVERED else ""
+        out[model][prefix + "input"] += rec.get("input_tokens") or 0
+        out[model][prefix + "output"] += rec.get("output_tokens") or 0
+        out[model][prefix + "rows"] += 1
+    return {m: dict(v) for m, v in out.items()}
+
+
+def reconcile(billed, logged, tolerance=0.02):
+    """Compare per-model billed tokens against what the ledger says we recorded.
+
+    This is the only check that catches a **silent no-write** — a paid leg that ran,
+    billed, and left no row. #119's guard cannot: it proves a log path was accepted,
+    not that the file survived (#139 lost $70.41 that way). A missing row is only
+    recoverable while the metric is still retained, ~6 weeks, so the check has to be
+    run close to the run.
+
+    Returns one dict per model with the billed, logged and recovered totals and a
+    verdict. Deliberately one-sided in what it treats as alarming: ledger > billed is
+    odd but harmless (a re-run, a mis-stamped window), while billed > ledger is spend
+    with no record, which is the failure this exists for.
+
+    The gap that earns a verdict is ``billed - logged - recovered``. A recovered row
+    still never makes the bill agree with itself, because it is not counted as a
+    measurement — but it does say that the part of the gap it covers has already been
+    found, priced and written down, and reporting that part as unaccounted for would
+    make this check raise an emergency about the one thing that was handled."""
+    rows = []
+    for model in sorted(set(billed) | set(logged)):
+        b = billed.get(model, {})
+        lg = logged.get(model, {})
+        b_in, l_in = b.get("input", 0), lg.get("input", 0)
+        r_in, r_rows = lg.get("recovered_input", 0), int(lg.get("recovered_rows", 0))
+        unexplained = b_in - l_in - r_in
+        if not l_in and not r_in and b_in:
+            verdict = "MISSING - billed, nothing logged"
+        elif b_in and abs(unexplained) / b_in > tolerance:
+            verdict = ("UNDER — ledger short" if unexplained > 0
+                       else "over — ledger exceeds billed")
+        elif r_rows:
+            verdict = f"ok ({r_rows} recovered)"
+        else:
+            verdict = "ok"
+        rows.append({
+            "model_id": model, "billed_input": b_in, "billed_output": b.get("output", 0),
+            "logged_input": l_in, "logged_output": lg.get("output", 0),
+            "logged_rows": int(lg.get("rows", 0)), "recovered_input": r_in,
+            "recovered_output": lg.get("recovered_output", 0),
+            "recovered_rows": r_rows, "unexplained_input": unexplained,
+            "verdict": verdict,
+        })
+    return rows
+
+
+def print_reconciliation(rows):
+    print(f"\n== reconciliation: Cloud Monitoring vs analysis_out/usage_log.jsonl ==")
+    print(f"{'model':26s} {'billed in':>14s} {'logged in':>14s} {'recovered in':>14s} "
+          f"{'rows':>5s}  verdict")
+    worst, recovered = [], []
+    for r in rows:
+        print(f"  {r['model_id']:24s} {r['billed_input']:14,.0f} "
+              f"{r['logged_input']:14,.0f} {r['recovered_input']:14,.0f} "
+              f"{r['logged_rows']:5d}  {r['verdict']}")
+        if r["verdict"].startswith(("MISSING", "UNDER")):
+            worst.append(r)
+        elif r["recovered_rows"]:
+            recovered.append(r)
+    if worst:
+        gap = sum(r["unexplained_input"] for r in worst)
+        print(f"\n  {len(worst)} model(s) billed more than the ledger explains "
+              f"({gap:,.0f} input tokens unaccounted for, over and above any "
+              f"recovered row).")
+        print("  A missing layer-1 row is an emergency with a deadline: this metric "
+              "retains ~6 weeks,\n  after which the number is unrecoverable at any "
+              "price. Recovery is per-model per-DAY,\n  so per-split attribution is "
+              "already gone - record the total against the run it came from.")
+    else:
+        print("\n  every billed model has a ledger row within tolerance.")
+    if recovered:
+        # Stated rather than left to read as a fresh gap: this column is spend that
+        # WAS lost and has since been reconstructed from the bill, so an operator who
+        # sees it reported as an emergency every run will learn to ignore the check.
+        print(f"  {len(recovered)} model(s) close the gap with a recovered row "
+              f"({sum(r['recovered_input'] for r in recovered):,.0f} input tokens) — "
+              f"a reconstruction\n  from this same bill, not a measurement, so the "
+              f"per-split attribution stays gone.")
+    return worst
+
+
 def main():
     ap = argparse.ArgumentParser(description=__doc__.split("\n", 1)[0])
     # Same env var the Gemini legs run under (detectors.py GeminiDetector, and the
@@ -113,6 +231,14 @@ def main():
                          "which compare.py also reads from a repo-root .env).")
     ap.add_argument("--days", type=float, default=30,
                     help="Lookback window (metric retention is ~6 weeks).")
+    ap.add_argument("--reconcile", action="store_true",
+                    help="Compare these billed totals against what "
+                         "analysis_out/usage_log.jsonl recorded, per model. The only "
+                         "check that catches a paid leg which ran, billed, and left "
+                         "no row (#139, #143).")
+    ap.add_argument("--usage-log", help="Ledger to reconcile against (default: the "
+                                        "committed analysis_out/usage_log.jsonl in "
+                                        "the main checkout).")
     ap.add_argument("--min-tokens", type=int, default=1000,
                     help="Hide rows below this many input tokens (smoke-test noise). "
                          "Suppressed rows are counted and their cost reported.")
@@ -185,6 +311,19 @@ def main():
               f"excluded (~${suppressed_cost:.2f}): {', '.join(suppressed)}")
     print("\nEstimates only; the billing console is authoritative for spend.")
 
+    if args.reconcile:
+        log_path = args.usage_log or str(
+            ledger.canonical_repo_root(REPO) / "analysis_out" / "usage_log.jsonl")
+        rows = ledger.read_rows(log_path)
+        if rows is None:
+            print(f"\ncannot reconcile: no ledger at {os.path.abspath(log_path)}")
+            return
+        since = (datetime.now(timezone.utc)
+                 - timedelta(days=args.days)).date().isoformat()
+        print(f"(ledger: {os.path.abspath(log_path)}, rows stamped >= {since})")
+        print_reconciliation(reconcile({m: dict(t) for m, t in totals.items()},
+                                       ledger_totals_by_model(rows, since)))
+
 
 if __name__ == "__main__":
     main()
diff --git a/scripts/model_comparison/compare.py b/scripts/model_comparison/compare.py
index 1430ed11..d70b5069 100644
--- a/scripts/model_comparison/compare.py
+++ b/scripts/model_comparison/compare.py
@@ -29,16 +29,19 @@
 import hashlib
 import json
 import os
+import socket
+import subprocess
 import sys
 from collections import namedtuple
 from datetime import datetime, timezone
 from pathlib import Path
+from time import perf_counter
 
 REPO_ROOT = Path(__file__).resolve().parents[2]
 sys.path.insert(0, str(REPO_ROOT))          # rampnet.* (editable install fallback)
 sys.path.insert(0, str(Path(__file__).resolve().parent))  # local detectors.py
 
-from rampnet import roster  # noqa: E402
+from rampnet import ledger, roster  # noqa: E402
 from rampnet.detection_eval import (  # noqa: E402
     build_ground_truth, load_yolo_ground_truths, score_pano, aggregate,
     prediction_confidence, radius_sq_for, PANO_RADIUS_NORMALIZED,
@@ -56,7 +59,26 @@
 # (op_cache/, fp_taxonomy.json, silent_witness.json), and .gitignore re-includes
 # this file by name.
 DEFAULT_USAGE_LOG_REL = os.path.join("analysis_out", "usage_log.jsonl")
-DEFAULT_USAGE_LOG = str(REPO_ROOT / DEFAULT_USAGE_LOG_REL)
+
+
+def canonical_repo_root(start=None):
+    """The MAIN checkout, even when this is running from a linked worktree.
+
+    ``REPO_ROOT`` is this file's own checkout, so from a worktree the default
+    ledger lands *inside that worktree* -- and scratch worktrees get deleted,
+    taking the ledger with them. That is not hypothetical: the #139
+    claude-opus-5 leg spent **$70.41 and left no row**, recovered only because
+    Cloud Monitoring still had it inside its ~6-week window (#143).
+
+    The #119 guard cannot see this failure. It proves a log path was *accepted*,
+    not that the file it wrote still exists -- the operator followed the rule and
+    lost the record anyway. See rampnet/ledger.py, which both ledgers share."""
+    return ledger.canonical_repo_root(start or REPO_ROOT)
+
+
+def default_usage_log():
+    return str(canonical_repo_root() / DEFAULT_USAGE_LOG_REL)
+
 
 # Generated from detectors.PROVIDERS so the roster cannot drift out of the help
 # text again (`claude` shipped working but undocumented in three places).
@@ -68,7 +90,6 @@
     "'yolo:<path.pt>' or --yolo-model."
 )
 
-
 def load_dotenv(root):
     """Load KEY=VALUE lines from a repo-root .env into os.environ (without
     overriding already-set vars), so a Gemini key can live in a git-ignored file
@@ -85,6 +106,21 @@ def load_dotenv(root):
             os.environ.setdefault(key.strip(), val.strip().strip('"').strip("'"))
 
 
+def load_dotenv_for_run(start=None):
+    """Load `.env` from this checkout and from the main checkout it belongs to.
+
+    Same reason the ledger resolves that way (#143): a leg is often run from a
+    scratch worktree, which carries no `.env` because the file is git-ignored, so
+    a Gemini or Claude leg launched there finds no key and `vertex_usage.py` finds
+    no project. `load_dotenv` uses `setdefault`, so the worktree's own file is read
+    first and still wins wherever the two disagree."""
+    root = Path(start or REPO_ROOT)
+    load_dotenv(str(root))
+    canonical = canonical_repo_root(root)
+    if canonical != root:
+        load_dotenv(str(canonical))
+
+
 def cache_key(label, signature, city, pano_id):
     """Stable hash over everything that determines a detector's output for one
     pano, so re-runs reuse cached detections and don't re-pay the API."""
@@ -250,7 +286,8 @@ class UnrecordedSpend(Exception):
 
 
 def score_model(detector, records, gts, panos_dir, radius_sq, label, city, cache,
-                max_consecutive_failures=10, spend_needs_recording=False):
+                max_consecutive_failures=10, spend_needs_recording=False,
+                timing=None):
     """Run one detector over every scored pano and aggregate the score.
 
     ``gts`` maps pano id -> GroundTruth (verdict-derived for city bundles,
@@ -265,7 +302,21 @@ def score_model(detector, records, gts, panos_dir, radius_sq, label, city, cache
     detections are cached, so re-runs don't re-pay the API. A transient per-pano
     failure is recorded and skipped rather than crashing the run;
     ``max_consecutive_failures`` aborts the model early during an outage instead of
-    burning budget."""
+    burning budget.
+
+    ``timing``, when given, is filled in as the run proceeds: model-load seconds,
+    inference seconds, and how many panos actually reached the model. It is a
+    caller-owned dict rather than a return value on purpose -- a leg that dies
+    partway has still spent the time, and the caller reads it from a ``finally``
+    where there is no ModelRun to read (#143)."""
+    if timing is None:
+        timing = {}
+    # panos_called counts ATTEMPTS, not successes: a call that raised still spent
+    # its wall-clock and, on a paid provider, still billed. It is the honest
+    # denominator for both seconds-per-pano and dollars-per-pano.
+    timing.setdefault("load_s", 0.0)
+    timing.setdefault("detect_s", 0.0)
+    timing.setdefault("panos_called", 0)
     sig = detector.signature() if hasattr(detector, "signature") else None
     keys = {pid: (cache_key(label, sig, city, pid) if sig is not None else None)
             for pid in gts}
@@ -284,7 +335,9 @@ def score_model(detector, records, gts, panos_dir, radius_sq, label, city, cache
                 f"--usage-log none. Token counts cannot be back-filled, so this spend "
                 f"would go unrecorded. Drop --usage-log none, or pass "
                 f"--allow-unrecorded-spend deliberately.")
+        t_load = perf_counter()
         detector.prepare()
+        timing["load_s"] = round(perf_counter() - t_load, 3)
     else:
         print(f"[{label}] all {len(cached)} panos already cached; model load skipped")
     pano_scores, failures, consecutive, scored = [], [], 0, []
@@ -299,6 +352,7 @@ def score_model(detector, records, gts, panos_dir, radius_sq, label, city, cache
                 height=rec["pano"].get("height"),
                 meta=rec["pano"],
             )
+            t_pano = perf_counter()
             try:
                 preds = detector.detect(sample)
             except Exception as e:  # transient API/network failure: isolate this pano
@@ -308,45 +362,105 @@ def score_model(detector, records, gts, panos_dir, radius_sq, label, city, cache
                     failures.append(("<abort>", f"{consecutive} consecutive failures; stopped early"))
                     break
                 continue
+            finally:
+                # In a finally so the `continue` and `break` paths above are
+                # counted too: a failed call is spent time and spent money.
+                timing["detect_s"] += perf_counter() - t_pano
+                timing["panos_called"] += 1
             consecutive = 0
             if key:
                 cache.put(key, preds)
         scored.append((preds, gt))
         pano_scores.append(score_pano(preds, gt, radius_sq=radius_sq))
+    timing["detect_s"] = round(timing["detect_s"], 3)
     return ModelRun(aggregate(pano_scores), failures, scored)
 
 
-def report_usage(detector, label, city, panos_scored, usage_log_path):
-    """Print and (append-)log a paid model's token usage + estimated cost.
+def hardware_note():
+    """What this run had to compute with -- best effort, and cheap.
 
-    Standing rule: every experiment that spends API money records what it spent,
-    at the time it runs, so a paper can report cost alongside accuracy. Token
-    counts come from the provider's own usage metadata accumulated by the
-    detector during THIS run (cached panos made no call and cost nothing here);
-    the dollar figure is an estimate from the verified table in pricing.py, and
-    the billing console stays authoritative. Reconcile against actual project
-    token counts with scripts/analysis/vertex_usage.py.
+    Reports GPUs only when torch is ALREADY imported. A hosted-API leg must not
+    pay a multi-second torch import for bookkeeping, and "torch was never
+    loaded" is itself the honest answer: this harness ran no local model.
+
+    The GPU list is what the MACHINE had, not proof this leg used it --
+    ``device_map="auto"`` and the CPU fallbacks in detectors.py both exist. Read
+    it as the run's environment, and the .slurm job record (compute_log.jsonl)
+    as what was actually allocated."""
+    note = {"host": socket.gethostname()}
+    torch = sys.modules.get("torch")
+    if torch is None:
+        return note
+    try:
+        if torch.cuda.is_available():
+            note["gpus"] = [torch.cuda.get_device_name(i)
+                            for i in range(torch.cuda.device_count())]
+    except Exception:
+        pass  # a torch that cannot answer must not take down the cost record
+    return note
+
+
+def report_usage(detector, label, city, panos_scored, usage_log_path, timing=None):
+    """Print and (append-)log what one leg cost: time always, tokens and dollars
+    when the provider bills for them.
+
+    Standing rule (#143): every experiment on a non-free model or non-free
+    compute records BOTH time and money, at the time it runs, so a paper can
+    report cost alongside accuracy. Neither half is back-fillable -- a re-run
+    reads the detection cache, makes no calls, and returns in seconds, so it can
+    reproduce neither the token counts nor the runtime.
+
+    Free local models bill no tokens but cost real GPU-hours, so they get a row
+    too. Before #143 they returned early here and the whole GPU half of the
+    roster -- OWLv2, Grounding DINO, Qwen, Molmo, YOLO, RampNet itself -- left no
+    record at all; their runtimes survive only as prose in docs/model_comparison.md.
+
+    A leg that spent nothing still writes nothing: a fully cached re-score (model
+    load skipped, zero calls) and a leg that never became runnable both have no
+    cost to record, and a zero row per re-run would bury the rows that carry a
+    measurement.
 
     Called from a ``finally``, so it must survive being handed a half-finished
     run: a leg that dies or is interrupted after paying for 400 calls is exactly
-    the one whose spend must not vanish. It never raises for that reason —
+    the one whose spend must not vanish. It never raises for that reason --
     bookkeeping that can kill the run it is bookkeeping is worse than no
-    bookkeeping — and it is a no-op when the model made no calls."""
-    usage = getattr(detector, "usage", None)
-    if not usage or not usage.get("calls"):
+    bookkeeping."""
+    timing = dict(timing or {})
+    usage = getattr(detector, "usage", None) or {}
+    calls = usage.get("calls", 0)
+    panos_called = timing.get("panos_called", 0)
+    if not calls and not panos_called:
+        return
+    if not calls and getattr(detector, "replays_committed_detections", False):
+        # Reading detections back out of the bundle is not an experiment that cost
+        # anything. Logging it would put a zero row in a committed, append-only
+        # file every time anyone re-scores the rampnet arm, which is most runs.
         return
     model_id = getattr(detector, "model_id", None)
-    cost = estimate_cost(model_id, usage["input_tokens"], usage["output_tokens"],
-                         cache_read_tokens=usage.get("cache_read_input_tokens", 0),
-                         cache_write_tokens=usage.get("cache_write_input_tokens", 0))
-    pricing = price_for(model_id)
-    cost_txt = (f"  ~=${cost:.2f} (pricing as of {pricing['as_of']})" if cost is not None
-                else "  (no verified price in pricing.py — record one)")
-    # .get() on thinking: most providers don't report it, and a KeyError here
-    # would take down a run that has already been paid for.
-    print(f"[{label}] API usage this run: {usage['calls']} calls, "
-          f"{usage['input_tokens']:,} in / {usage['output_tokens']:,} out tokens "
-          f"({usage.get('thoughts_tokens', 0):,} thinking){cost_txt}")
+    cost = pricing = None
+    if calls:
+        cost = estimate_cost(model_id, usage["input_tokens"], usage["output_tokens"],
+                             cache_read_tokens=usage.get("cache_read_input_tokens", 0),
+                             cache_write_tokens=usage.get("cache_write_input_tokens", 0))
+        pricing = price_for(model_id)
+        cost_txt = (f"  ~=${cost:.2f} (pricing as of {pricing['as_of']})" if cost is not None
+                    else "  (no verified price in pricing.py — record one)")
+        # .get() on thinking: most providers don't report it, and a KeyError here
+        # would take down a run that has already been paid for.
+        print(f"[{label}] API usage this run: {usage['calls']} calls, "
+              f"{usage['input_tokens']:,} in / {usage['output_tokens']:,} out tokens "
+              f"({usage.get('thoughts_tokens', 0):,} thinking){cost_txt}")
+    # Time, for every leg. The per-pano figure divides by panos actually put
+    # through the model, never by the bundle: on a resumed run most panos come
+    # from the cache and cost nothing, so len(gts) would understate it severalfold.
+    detect_s, load_s = timing.get("detect_s") or 0.0, timing.get("load_s") or 0.0
+    s_per_pano = (detect_s / panos_called) if panos_called else None
+    elapsed = timing.get("elapsed_s")
+    if elapsed is not None:
+        per_txt = f", {s_per_pano:.2f} s/pano" if s_per_pano is not None else ""
+        print(f"[{label}] time this run: {elapsed:,.1f}s wall  "
+              f"({load_s:,.1f}s model load, {detect_s:,.1f}s inference over "
+              f"{panos_called:,} pano(s){per_txt})")
     # Which BUILD answered, as distinct from the alias we asked for (#121).
     versions = getattr(detector, "model_versions", None)
     if versions:
@@ -361,24 +475,16 @@ def report_usage(detector, label, city, panos_scored, usage_log_path):
     if abnormal:
         print(f"[{label}] ABNORMAL stop reasons: "
               + ", ".join(f"{k}={v:,}" for k, v in sorted(abnormal.items())))
-    if not usage_log_path:
-        # The token counts are the one artifact that cannot be back-filled: a
-        # re-run reads the detection cache, makes zero calls, and so can never
-        # reproduce them. Losing them means the spend is gone for good, which is
-        # exactly what happened to #123's four Claude legs ($28.82, no record).
-        print(f"[{label}] WARNING: this leg spent money and its usage was NOT "
-              f"recorded — --usage-log is disabled. Token counts cannot be "
-              f"back-filled from a later run (a cached re-run makes no calls), so "
-              f"this spend is unrecoverable. The standing rule is that every paid "
-              f"experiment records what it spent, at the time it runs.\n"
-              f"[{label}] usage record: {json.dumps({'model_id': model_id, **usage})}")
-        return
     rec = {
         "ts": datetime.now(timezone.utc).isoformat(timespec="seconds"),
         "bundle": city,
         "label": label,
         "provider": getattr(detector, "name", None),
         "model_id": model_id,
+        # Whether this leg cost API money. Free legs cost GPU time instead and
+        # carry no token keys at all, so this is the unambiguous filter rather
+        # than testing for a key's absence.
+        "paid": bool(calls),
         # The build(s) that actually served this run, against the alias above.
         # Cannot be reconstructed later -- .model_cache stores points only -- so
         # a run that didn't record it never can (#121).
@@ -387,6 +493,17 @@ def report_usage(detector, label, city, panos_scored, usage_log_path):
         # resumed run most panos come from the cache and cost nothing, so
         # len(gts) would understate cost-per-pano several-fold.
         "panos_scored": panos_scored,
+        # ...and panos this run actually put through the model. The two differ by
+        # the cache hits, which is exactly the difference between "what this leg
+        # measured" and "what this leg reported on".
+        "panos_called": panos_called,
+        "elapsed_s": elapsed,
+        "load_s": round(load_s, 3),
+        "detect_s": round(detect_s, 3),
+        "s_per_pano": round(s_per_pano, 4) if s_per_pano is not None else None,
+        # The machine, so a runtime can be read against the hardware that produced
+        # it. A GPU figure is meaningless without it.
+        "hardware": hardware_note(),
         # The rig is part of the price: the same model on the same bundle costs
         # ~6x more tiled than whole-pano, and without this two such runs log
         # identically. Same reasoning as the detections export (9e87290).
@@ -397,6 +514,20 @@ def report_usage(detector, label, city, panos_scored, usage_log_path):
         "est_cost_usd": round(cost, 4) if cost is not None else None,
         "pricing": pricing,
     }
+    if not usage_log_path:
+        # The measurement is the one artifact that cannot be back-filled: a
+        # re-run reads the detection cache, makes zero calls, and so can never
+        # reproduce it. For a paid leg that means the spend is gone for good,
+        # which is exactly what happened to #123's four Claude legs ($28.82, no
+        # record); for a free one it means the runtime is.
+        what = "spent money and its usage was" if calls else "spent GPU time and its runtime was"
+        print(f"[{label}] WARNING: this leg {what} NOT recorded — --usage-log is "
+              f"disabled. It cannot be back-filled from a later run (a cached "
+              f"re-run makes no calls), so this measurement is unrecoverable. The "
+              f"standing rule is that every non-free experiment records what it "
+              f"cost, in time and money, at the time it runs.\n"
+              f"[{label}] usage record: {json.dumps(rec)}")
+        return
     try:
         os.makedirs(os.path.dirname(usage_log_path) or ".", exist_ok=True)
         # newline="" so a Windows run appends LF, not CRLF. This ledger is
@@ -410,9 +541,18 @@ def report_usage(detector, label, city, panos_scored, usage_log_path):
         print(f"[{label}] WARNING: could not write {usage_log_path}: "
               f"{type(e).__name__}: {e}\n[{label}] usage record: {json.dumps(rec)}")
         return
-    print(f"[{label}] usage logged to {usage_log_path}")
-
-
+    # Absolute, and with the running total: a leg that logged somewhere
+    # unexpected has to be visible now, not six weeks later when the provider's
+    # usage telemetry has aged out and the number is gone at any price (#143).
+    print(f"[{label}] usage logged to {os.path.abspath(usage_log_path)}")
+    totals = ledger.ledger_totals(usage_log_path)
+    if totals:
+        rows, usd, hours, recovered = totals
+        # Recovered spend is called out rather than folded in: it is real money with
+        # no timing and no split attribution, so it must not read as an as-run number.
+        tail = (f" (of which ${recovered:,.2f} recovered, not measured)"
+                if recovered else "")
+        print(f"[{label}] ledger now: {rows:,} rows, ${usd:,.2f}, {hours:,.1f} h{tail}")
 def rescore(scored, radius_sq, min_confidence=0.0):
     """Re-aggregate a finished run with predictions below ``min_confidence`` dropped.
 
@@ -684,13 +824,14 @@ def build_parser():
                     help="Where to cache per-pano detections (keyed by model + rig + pano). "
                          "Re-runs reuse hits and don't re-pay the API.")
     ap.add_argument("--no-cache", action="store_true", help="Disable the detection cache.")
-    ap.add_argument("--usage-log", default=DEFAULT_USAGE_LOG,
-                    help="Append one JSONL record per paid-model run (token counts + "
-                         f"estimated cost; see pricing.py). Default: {DEFAULT_USAGE_LOG_REL} "
-                         "(tracked in git — the spend record is a durable research fact, "
-                         "not scratch). Pass 'none' to disable, which a paid model "
-                         "refuses to run under unless --allow-unrecorded-spend is given "
-                         "too.")
+    ap.add_argument("--usage-log", default=default_usage_log(),
+                    help="Append one JSONL record per model run — wall-clock always, "
+                         "token counts and estimated cost when the provider bills for "
+                         f"them (see pricing.py). Default: {DEFAULT_USAGE_LOG_REL} in the "
+                         "MAIN checkout, not this worktree (tracked in git — the cost "
+                         "record is a durable research fact, not scratch). Pass 'none' "
+                         "to disable, which a paid model refuses to run under unless "
+                         "--allow-unrecorded-spend is given too.")
     ap.add_argument("--allow-unrecorded-spend", action="store_true",
                     help="Permit a paid model to run with --usage-log none. Needed only "
                          "to spend money without recording what it cost, which is not "
@@ -707,7 +848,7 @@ def main():
     ap = build_parser()
     args = ap.parse_args()
 
-    load_dotenv(str(REPO_ROOT))
+    load_dotenv_for_run()
     specs = [parse_model_spec(t) for t in args.models.split(",") if t.strip()]
     records, verdicts, panos_dir = load_bundle(args.bundle)
     # Fail fast on a broken bundle before any (paid) detector call, then reduce
@@ -734,6 +875,18 @@ def main():
     city = os.path.basename(os.path.normpath(args.bundle))
     cache = DetectionCache(args.cache_dir, enabled=not args.no_cache)
     usage_log = None if args.usage_log == "none" else args.usage_log
+    if usage_log:
+        # The #139 failure mode: the ledger written inside a scratch worktree that
+        # is deleted afterwards, so the run leaves no record and no guard notices
+        # ($70.41, recovered only from Cloud Monitoring — #143). The default now
+        # resolves to the main checkout; an explicit --usage-log can still land in
+        # a worktree, so say so while someone is watching.
+        canonical = canonical_repo_root()
+        if canonical != REPO_ROOT and Path(usage_log).resolve().is_relative_to(REPO_ROOT):
+            print(f"WARNING: --usage-log points inside this worktree "
+                  f"({REPO_ROOT}), not the main checkout ({canonical}). A worktree "
+                  f"is deleted when its session ends and takes the ledger with it; "
+                  f"commit the log or point it at the main checkout.\n")
     # Whether a paid leg may run without recording what it spends. The check itself
     # happens in score_model, at the first pano that is NOT already cached -- still
     # before any money moves, but without refusing a re-score that provably cannot
@@ -754,11 +907,12 @@ def main():
             label = f"{label}#{seen[label]}"
         else:
             seen[label] = 1
-        run = None
+        run, timing = None, {}
+        t_leg = perf_counter()
         try:
             run = score_model(
                 detector, records, gts, panos_dir, radius_sq, label, city, cache,
-                spend_needs_recording=spend_needs_recording)
+                spend_needs_recording=spend_needs_recording, timing=timing)
         except UnrecordedSpend:
             # Not a "this model is not runnable here" condition: it is a deliberate
             # refusal, and swallowing it would let the next paid leg in the list
@@ -780,8 +934,13 @@ def main():
             # Exception, so on the success path alone it would unwind past this.
             # panos_scored is None when score_model didn't return — the token
             # counts are still exact, only the denominator is unknown.
+            # The wall clock is stopped here rather than inside score_model so it
+            # still covers a leg that raised partway -- the case this finally
+            # exists for. It brackets the model load and the pano loop both.
+            timing["elapsed_s"] = round(perf_counter() - t_leg, 3)
             report_usage(detector, label, city,
-                         len(run.scored) if run is not None else None, usage_log)
+                         len(run.scored) if run is not None else None, usage_log,
+                         timing=timing)
         if run is None:
             continue
         report = operating_report(run.report, run.scored, radius_sq, args.op_threshold)
diff --git a/scripts/model_comparison/detectors.py b/scripts/model_comparison/detectors.py
index fbd0593e..17fcec55 100644
--- a/scripts/model_comparison/detectors.py
+++ b/scripts/model_comparison/detectors.py
@@ -58,6 +58,12 @@ class BundleRampNetDetector:
     """RampNet's baseline detections, read from the benchmark records.jsonl."""
 
     name = "rampnet"
+    # This leg replays detections that are already committed: no model is loaded,
+    # nothing is inferred, and the "runtime" is a JSON read. It is excluded from the
+    # cost ledger (compare.py report_usage) so the near-universal `--models rampnet`
+    # arm does not append a meaningless zero row to a committed file on every run.
+    # A real RampNet inference run is stage_two/evaluate.py, not this class.
+    replays_committed_detections = True
 
     def __init__(self, records):
         # records: {pano_id: record_dict} from the bundle's records.jsonl.
diff --git a/scripts/model_comparison/pricing.py b/scripts/model_comparison/pricing.py
index b5f2bc78..5f12d5d0 100644
--- a/scripts/model_comparison/pricing.py
+++ b/scripts/model_comparison/pricing.py
@@ -101,3 +101,71 @@ def estimate_cost(model_id, input_tokens, output_tokens,
     if cache_write_tokens and "cache_write_per_m" in p:
         usd += cache_write_tokens * p["cache_write_per_m"]
     return usd / 1e6
+
+
+# --- compute, not tokens ----------------------------------------------------
+#
+# The other half of what an experiment costs (#143). Same discipline as the token
+# table above: verified-only, each entry carrying the date it was checked and where
+# it came from. GPU-hours are the durable measurement; the dollar figure is an
+# estimate and the billing system is authoritative.
+#
+# `usd_per_gpu_hour` is applied to GPU-hours = elapsed wall-clock x N GPUs, which
+# is how Tillicum defines the unit -- an idle GPU in a 2-GPU job bills exactly like
+# a busy one. `qos_usage_factor` is Slurm's own UsageFactor per QoS.
+COMPUTE_PRICING = {
+    "tillicum": {
+        "usd_per_gpu_hour": 0.90,
+        "as_of": "2026-07-30",
+        "source": ("hyak.uw.edu/docs/systems/tillicum + the 2026-07-29 provisioning "
+                   "email; QoS factors from `sacctmgr show qos`, read 2026-07-31"),
+        "qos_usage_factor": {
+            "debug": 0.0, "normal": 1.0, "interactive": 1.0,
+            "urgent": 1.0, "long": 1.0, "wide": 1.0,
+        },
+        # This caveat has to travel with any "free" figure quoted from `debug`:
+        # Slurm bills that QoS at UsageFactor 0, but `hyakusage` charged the 2-minute
+        # smoke job (198638) 0.03 GPU-hours / $0.03 anyway -- raw wall-clock x rate,
+        # the factor apparently not applied -- even though its own header says
+        # "billable GPU hours = raw GPU hours x QOS multiplier". The two tools state
+        # different things and we do not know which one ITBill follows. Exposure is
+        # capped at $0.90/job (debug is 1 h x 1 GPU), so this is unresolved, not
+        # urgent. See docs/tillicum.md.
+        "note": ("`debug` is UsageFactor 0 in Slurm but `hyakusage` bills it anyway; "
+                 "this table follows Slurm. Never quote a debug-QoS cost without "
+                 "saying which tool it came from."),
+    },
+    "klone": {
+        # Lab-owned and scavenger partitions alike: no per-hour charge. GPU-hours
+        # are still recorded, because the scientific cost of a run is its compute
+        # whether or not an invoice follows, and because the #51 baseline's 496.5
+        # GPU-hours is a real number that belongs in the paper.
+        "usd_per_gpu_hour": 0.0,
+        "as_of": "2026-07-30",
+        "source": "hyak.uw.edu — condo model, no usage billing",
+        "qos_usage_factor": {},
+        "note": "Free at the point of use; ckpt is preemptable, which costs restarts.",
+    },
+}
+
+
+def compute_price_for(cluster):
+    """The compute-rate entry for a cluster, or None when we have no verified rate.
+
+    None rather than $0: an unpriced cluster must be visible as unpriced, not
+    silently free. klone is $0 because that was checked, which is a different
+    statement."""
+    return COMPUTE_PRICING.get((cluster or "").lower())
+
+
+def estimate_compute_cost(cluster, gpu_hours, qos=None):
+    """Estimated USD for a job's GPU-hours, or None without a verified rate.
+
+    ``qos`` applies Slurm's UsageFactor when the cluster publishes one; an
+    unknown QoS is charged at full rate rather than assumed free, because
+    guessing downward is the expensive direction to be wrong in."""
+    p = compute_price_for(cluster)
+    if p is None:
+        return None
+    factor = p.get("qos_usage_factor", {}).get((qos or "").lower(), 1.0)
+    return gpu_hours * p["usd_per_gpu_hour"] * factor
diff --git a/tests/test_model_comparison.py b/tests/test_model_comparison.py
index 795a80c5..1359cb23 100644
--- a/tests/test_model_comparison.py
+++ b/tests/test_model_comparison.py
@@ -7,6 +7,8 @@
 """
 import json
 import os
+import shutil
+import subprocess
 import sys
 
 import pytest
@@ -34,10 +36,10 @@
     score_model, validate_bundle, validate_manual_bundle, DetectionCache, cache_key,
     ground_truths_from_verdicts, has_confidences, load_bundle,
     load_manual_ground_truths, operating_report, report_usage, rescore, sweep_rows,
-    DEFAULT_USAGE_LOG,
 )
 import pricing  # noqa: E402
 from pricing import estimate_cost, price_for  # noqa: E402
+from rampnet import ledger  # noqa: E402
 from rampnet.detection_eval import GroundTruth, radius_sq_for  # noqa: E402
 from prepare_yolo_dataset import (  # noqa: E402
     parse_box_size, _ground_distance_m, _box_wh, _resolve_distances, write_data_yaml,
@@ -1596,17 +1598,256 @@ class _Det:
     assert '"calls": 2' in out
 
 
+# --- time is recorded too, and free legs are not invisible (#143) -----------
+
+class _FreeDetector:
+    """A local GPU model: no API bill, and before #143 no ledger row either."""
+    name = "owlv2"
+
+    def __init__(self):
+        self.model_id = "owlv2-large-patch14-ensemble"
+        self.usage = None          # the shape every free detector has
+        self.model_versions = None
+
+    def signature(self):
+        return {"provider": "owlv2", "model_id": self.model_id}
+
+
+def test_a_free_leg_still_gets_a_row(tmp_path):
+    """OWLv2, Grounding DINO, Qwen, Molmo, YOLO and RampNet itself bill no tokens
+    and cost real GPU-hours. Before #143 report_usage returned early on them, so
+    the entire GPU half of the roster left no record and its runtimes survive only
+    as prose in docs/model_comparison.md."""
+    log = tmp_path / "usage_log.jsonl"
+    report_usage(_FreeDetector(), "owlv2", "annapolis", 125, str(log),
+                 timing={"elapsed_s": 900.0, "load_s": 60.0, "detect_s": 800.0,
+                         "panos_called": 125})
+    rec = json.loads(log.read_text(encoding="utf-8").splitlines()[-1])
+    assert rec["paid"] is False
+    assert rec["est_cost_usd"] is None          # free in API terms...
+    assert rec["elapsed_s"] == 900.0            # ...but not free in time
+    assert rec["detect_s"] == 800.0 and rec["panos_called"] == 125
+    assert rec["s_per_pano"] == pytest.approx(6.4)
+    # No token keys at all rather than zeros: a free leg spent no tokens, and a
+    # zero would average into a per-token figure as if it had.
+    assert "input_tokens" not in rec
+
+
+def test_a_paid_leg_records_time_beside_the_tokens(tmp_path):
+    log = tmp_path / "usage_log.jsonl"
+    det = ClaudeDetector(model_id="claude-sonnet-5")
+    det.accumulate_usage(1000, 50, 0)
+    report_usage(det, "claude-sonnet-5", "annapolis", 125, str(log),
+                 timing={"elapsed_s": 1200.5, "load_s": 0.0, "detect_s": 1190.0,
+                         "panos_called": 100})
+    rec = json.loads(log.read_text(encoding="utf-8").splitlines()[-1])
+    assert rec["paid"] is True and rec["input_tokens"] == 1000
+    assert rec["elapsed_s"] == 1200.5
+    # Per-pano divides by panos actually put through the model (100), never by
+    # the panos reported on (125) — the rest came from the cache and cost nothing.
+    assert rec["s_per_pano"] == pytest.approx(11.9)
+
+
+def test_a_leg_that_spent_nothing_writes_nothing(tmp_path):
+    """A fully cached re-score makes no calls and loads no model; a leg that was
+    never runnable does neither either. Writing a zero row per re-run would bury
+    the rows that carry a measurement."""
+    log = tmp_path / "usage_log.jsonl"
+    report_usage(_FreeDetector(), "owlv2", "annapolis", 125, str(log),
+                 timing={"elapsed_s": 0.4, "load_s": 0.0, "detect_s": 0.0,
+                         "panos_called": 0})
+    assert not log.exists()
+
+
+class _AlwaysFailsDetector:
+    """Every call raises — an outage, or a model that cannot answer."""
+    name = "always-fails"
+
+    def prepare(self):
+        pass
+
+    def signature(self):
+        return None
+
+    def detect(self, sample):
+        raise RuntimeError("simulated transient API failure")
+
+
+def test_replaying_committed_detections_is_not_logged_as_a_cost(tmp_path):
+    """`--models rampnet` reads detections back out of the bundle: no model is
+    loaded and nothing is inferred, so it is not an experiment that cost anything.
+    It is also in nearly every run, so a zero row per run would bury the ledger."""
+    log = tmp_path / "usage_log.jsonl"
+    det = BundleRampNetDetector({})
+    assert det.replays_committed_detections is True
+    report_usage(det, "rampnet", "richmond", 124, str(log),
+                 timing={"elapsed_s": 0.002, "load_s": 0.0, "detect_s": 0.0,
+                         "panos_called": 124})
+    assert not log.exists()
+
+
+def test_score_model_fills_in_the_timing_it_was_handed():
+    """timing is caller-owned rather than returned because report_usage reads it
+    from a finally, where a leg that died partway has no ModelRun to read."""
+    records, gts = _aligned_gts()
+    timing = {}
+    score_model(_FixedDetector(), records, gts, "", radius_sq_for(), "fixed",
+                "richmond", DetectionCache("x", enabled=False), timing=timing)
+    assert timing["panos_called"] == len(gts)
+    assert timing["detect_s"] >= 0.0 and "load_s" in timing
+
+
+def test_a_failed_call_still_counts_as_time_spent():
+    """A call that raised burnt wall-clock and, on a paid provider, still billed.
+    Counting only successes would understate both — and an outage would look like
+    a suspiciously cheap run rather than a broken one."""
+    records, gts = _aligned_gts()
+    timing = {}
+    run = score_model(_AlwaysFailsDetector(), records, gts, "", radius_sq_for(),
+                      "fails", "richmond", DetectionCache("x", enabled=False),
+                      max_consecutive_failures=99, timing=timing)
+    assert run.failures and timing["panos_called"] == len(gts)
+
+
+# --- the ledger has to land where it outlives the run (#143) ----------------
+
 def test_the_default_usage_log_is_tracked_not_in_the_gitignored_cache():
     # The whole point of recording spend is that it outlives the machine. Defaulting
     # into .model_cache/ (gitignored) is the bug export_model_cache.py exists to undo.
-    assert ".model_cache" not in DEFAULT_USAGE_LOG
-    assert DEFAULT_USAGE_LOG.replace("\\", "/").endswith("analysis_out/usage_log.jsonl")
+    default = compare.default_usage_log()
+    assert ".model_cache" not in default
+    assert default.replace(chr(92), "/").endswith("analysis_out/usage_log.jsonl")
     with open(os.path.join(REPO_ROOT, ".gitignore"), encoding="utf-8") as fh:
         gitignore = fh.read()
     assert "!analysis_out/usage_log.jsonl" in gitignore, \
         "analysis_out/* is ignored, so the log needs an explicit re-include"
 
 
+def _main_and_worktree(tmp_path):
+    """A real checkout with a linked worktree — the shape that lost #139's $70.41."""
+    main = tmp_path / "main"
+    main.mkdir()
+    run = lambda *a: subprocess.run(a, cwd=str(main), check=True, capture_output=True)
+    run("git", "init", "-q")
+    run("git", "config", "user.email", "t@example.com")
+    run("git", "config", "user.name", "t")
+    (main / "f.txt").write_text("x", encoding="utf-8")
+    run("git", "add", "f.txt")
+    run("git", "commit", "-qm", "init")
+    wt = tmp_path / "wt"
+    run("git", "worktree", "add", "-q", str(wt), "HEAD")
+    return main, wt
+
+
+@pytest.mark.skipif(shutil.which("git") is None, reason="needs git on PATH")
+def test_the_ledger_resolves_to_the_main_checkout_from_a_worktree(tmp_path):
+    """The #139 failure: a leg run from a scratch worktree wrote its ledger inside
+    that worktree, the worktree was deleted, and $70.41 of spend left no record —
+    invisible to #119's guard, which proves a path was accepted and nothing about
+    whether the file survives. Every worktree must append to one canonical ledger."""
+    main, wt = _main_and_worktree(tmp_path)
+    assert compare.canonical_repo_root(wt).resolve() == main.resolve()
+    assert compare.canonical_repo_root(main).resolve() == main.resolve()
+
+
+@pytest.mark.skipif(shutil.which("git") is None, reason="needs git on PATH")
+def test_credentials_resolve_to_the_main_checkout_too(tmp_path, monkeypatch):
+    """`.env` is git-ignored, so a scratch worktree does not carry one. Reading it
+    only from the running file's checkout means a leg launched from a worktree finds
+    no API key and vertex_usage.py exits with "no project" — the recovery tool
+    failing in exactly the situation that loses a record. The worktree's own file is
+    still read first, so a deliberate local override wins."""
+    main, wt = _main_and_worktree(tmp_path)
+    (main / ".env").write_text("RAMPNET_TEST_KEY=from-main\nRAMPNET_TEST_BOTH=main\n",
+                               encoding="utf-8")
+    (wt / ".env").write_text("RAMPNET_TEST_BOTH=worktree\n", encoding="utf-8")
+    monkeypatch.setattr(os, "environ", dict(os.environ))
+    for key in ("RAMPNET_TEST_KEY", "RAMPNET_TEST_BOTH"):
+        os.environ.pop(key, None)
+    compare.load_dotenv_for_run(wt)
+    assert os.environ["RAMPNET_TEST_KEY"] == "from-main"
+    assert os.environ["RAMPNET_TEST_BOTH"] == "worktree"
+
+
+def test_the_ledger_path_falls_back_when_git_cannot_answer(tmp_path):
+    """A tarball or an HF clone is not a git checkout. Bookkeeping must never be
+    the reason a run refuses to start."""
+    assert compare.canonical_repo_root(tmp_path).resolve() == tmp_path.resolve()
+
+
+def test_ledger_totals_tolerate_the_rows_written_before_this_change(tmp_path):
+    """The ledger is append-only and committed, so rows predating #143 carry no
+    timing keys and free rows carry no cost. A running total that choked on them
+    would be a regression in the one artifact that is supposed to be durable."""
+    log = tmp_path / "usage_log.jsonl"
+    log.write_text(
+        json.dumps({"label": "old-paid-row", "est_cost_usd": 0.25}) + "\n"
+        + json.dumps({"label": "free", "elapsed_s": 3600.0}) + "\n"
+        + "not json at all\n"
+        + json.dumps({"label": "both", "est_cost_usd": 0.75, "elapsed_s": 1800.0}) + "\n",
+        encoding="utf-8", newline="")
+    rows, usd, hours, recovered = ledger.ledger_totals(str(log))
+    assert (rows, usd, hours) == (3, 1.0, 1.5)
+    # No row carries a kind, so every one of them reads as measured.
+    assert recovered == 0
+    assert ledger.ledger_totals(str(tmp_path / "nope.jsonl")) is None
+
+
+def test_a_recovered_row_counts_toward_cost_but_never_toward_reconciliation(tmp_path):
+    """The #139 case, as a fixture.
+
+    A recovered row is real spend read off the provider's bill after layer 1 failed
+    to write. Two things have to be true at once, and they pull in opposite
+    directions: cost totals must include it (otherwise every table under-reports by
+    the whole amount), and reconciliation must never count it as a measurement
+    (otherwise the bill is compared against itself and the missing measurement reads
+    as ``ok``). What it may do is explain the gap, which is a different statement
+    from closing it.
+
+    The numbers are the committed ledger's: two measured richmond smoke legs
+    totalling 48,744 input tokens against a bill of 11,988,993.
+    """
+    sys.path.insert(0, os.path.join(REPO_ROOT, "scripts", "analysis"))
+    from vertex_usage import ledger_totals_by_model, reconcile
+
+    measured = [
+        {"ts": "2026-08-18T23:29:11+00:00", "label": "claude-opus-5",
+         "model_id": "claude-opus-5", "input_tokens": 12_186, "output_tokens": 780,
+         "est_cost_usd": 0.0804},
+        {"ts": "2026-08-18T23:54:02+00:00", "label": "claude-opus-5",
+         "model_id": "claude-opus-5", "input_tokens": 36_558, "output_tokens": 1_972,
+         "est_cost_usd": 0.2321},
+    ]
+    recovery = {"ts": "2026-08-18T00:00:00+00:00", "kind": ledger.RECOVERED,
+                "label": "claude-opus-5", "model_id": "claude-opus-5",
+                "input_tokens": 11_940_249, "output_tokens": 415_751,
+                "est_cost_usd": 70.095}
+    billed = {"claude-opus-5": {"input": 11_988_993, "output": 418_503}}
+
+    # Before the recovery was written, the gap is unexplained and gets the verdict.
+    short = reconcile(billed, ledger_totals_by_model(measured))[0]
+    assert short["verdict"].startswith("UNDER")
+    assert short["unexplained_input"] == 11_940_249
+
+    log = tmp_path / "usage_log.jsonl"
+    ledger.append_rows(str(log), measured + [recovery])
+
+    rows, usd, hours, recovered = ledger.ledger_totals(str(log))
+    assert rows == 3
+    assert usd == pytest.approx(70.4075)          # the money is all there
+    assert recovered == pytest.approx(70.095)     # and it is labelled
+
+    # Reconciliation still counts only the measured rows as logged...
+    logged = ledger_totals_by_model(ledger.read_rows(str(log)))
+    assert logged["claude-opus-5"]["input"] == 48_744
+    assert logged["claude-opus-5"]["rows"] == 2
+    # ...but the gap they leave is the one already written down, so it is reported
+    # as explained rather than as an emergency that repeats every run.
+    row = reconcile(billed, logged)[0]
+    assert row["verdict"] == "ok (1 recovered)"
+    assert row["recovered_input"] == 11_940_249 and row["unexplained_input"] == 0
+
+
 # --- tiled detect() end-to-end (no live model) ------------------------------
 
 class _FakeTiledVLM(_VLMDetector):
diff --git a/tests/test_slurm_usage.py b/tests/test_slurm_usage.py
new file mode 100644
index 00000000..fb9870d6
--- /dev/null
+++ b/tests/test_slurm_usage.py
@@ -0,0 +1,210 @@
+"""The compute half of what an experiment cost (#143).
+
+The fixtures below are shaped like the two Tillicum jobs whose cost is already
+written down in docs/tillicum.md, so the parser is checked against numbers that
+were arrived at independently of it rather than against itself.
+"""
+import json
+import os
+import sys
+from pathlib import Path
+
+import pytest
+
+REPO_ROOT = str(Path(__file__).resolve().parents[1])
+sys.path.insert(0, REPO_ROOT)
+sys.path.insert(0, os.path.join(REPO_ROOT, "scripts", "analysis"))
+sys.path.insert(0, os.path.join(REPO_ROOT, "scripts", "model_comparison"))
+
+from slurm_usage import (  # noqa: E402
+    gpus_from_tres, is_terminal, latest_rows, new_rows, parse_sacct, print_by_name,
+    row_key, sacct_command, summarize, SACCT_FIELDS, COLUMNS,
+)
+from rampnet import ledger  # noqa: E402
+
+
+def _line(job_id, name, cluster, part, qos, state, start, end, elapsed, tres,
+          nodes=1, exit_code="0:0", submit="2026-07-31T00:00:00"):
+    return "|".join([job_id, name, cluster, part, qos, state, submit, start, end,
+                     str(elapsed), tres, str(nodes), exit_code])
+
+
+# 4.67 GPU-hours on one H200 at `normal` = the $4.20 data-prep job in docs/tillicum.md.
+PREP = _line("198910", "yolo_data_prep", "tillicum", "", "normal", "COMPLETED",
+             "2026-07-31T01:00:00", "2026-07-31T05:40:12", 16812,
+             "billing=8,cpu=8,gres/gpu=1,mem=200G,node=1")
+# The 2-minute smoke job on `debug`, which Slurm bills at UsageFactor 0.
+SMOKE = _line("198638", "tillicum_smoke", "tillicum", "", "debug", "COMPLETED",
+              "2026-07-31T00:10:00", "2026-07-31T00:12:00", 120,
+              "billing=8,cpu=8,gres/gpu=1,mem=100G,node=1")
+
+
+def test_gpu_hours_and_dollars_match_the_documented_tillicum_job():
+    """docs/tillicum.md: 'It cost $4.20 — 4.67 GPU-hours at normal QoS.'"""
+    rec, = parse_sacct(PREP)
+    assert rec["gpus"] == 1
+    assert rec["gpu_hours"] == pytest.approx(4.67, abs=0.005)
+    assert rec["est_cost_usd"] == pytest.approx(4.20, abs=0.005)
+    assert rec["cluster"] == "tillicum" and rec["qos"] == "normal"
+
+
+def test_the_debug_qos_is_priced_at_slurms_usage_factor_not_wall_clock():
+    """`debug` is UsageFactor 0.0 in `sacctmgr show qos`. hyakusage disagrees and
+    charged this job $0.03; that conflict is unresolved and recorded in
+    pricing.py's note, so a reader is never handed a bare 'free' with no source."""
+    rec, = parse_sacct(SMOKE)
+    assert rec["est_cost_usd"] == 0.0
+    # The row carries the rate it was priced at and when that was checked; the
+    # caveat itself lives in the versioned table, not repeated in every row.
+    assert rec["rate_usd_per_gpu_hour"] == 0.90 and rec["rate_as_of"] == "2026-07-30"
+    from pricing import compute_price_for
+    assert "hyakusage" in compute_price_for("tillicum")["note"]
+
+
+def test_gpu_hours_multiply_by_gpu_count():
+    """Tillicum's unit is elapsed x N GPUs — an idle GPU in a 2-GPU job bills
+    exactly like a busy one, which is the whole 2-GPU trap in docs/tillicum.md."""
+    two = _line("1", "two_gpu", "tillicum", "", "normal", "COMPLETED",
+                "2026-08-01T00:00:00", "2026-08-01T01:00:00", 3600,
+                "billing=16,cpu=16,gres/gpu=2,mem=400G,node=1")
+    rec, = parse_sacct(two)
+    assert rec["gpu_hours"] == 2.0 and rec["est_cost_usd"] == pytest.approx(1.80)
+
+
+def test_typed_and_generic_gpu_tres_are_not_double_counted():
+    """Slurm reports the same GPUs twice, generically and by type. Summing both
+    would double every GPU-hour in the ledger."""
+    assert gpus_from_tres("cpu=8,gres/gpu=2,gres/gpu:a40=2,mem=200G") == (2, "a40")
+    assert gpus_from_tres("cpu=8,gres/gpu:l40s=4,mem=200G") == (4, "l40s")
+    assert gpus_from_tres("cpu=8,mem=200G") == (0, None)
+    assert gpus_from_tres(None) == (0, None)
+    assert gpus_from_tres("cpu=8,gres/gpu:a40=1,gres/gpu:l40s=1") == (2, "a40,l40s")
+
+
+def test_a_cpu_only_klone_job_is_free_but_still_recorded():
+    """klone is free at the point of use; the GPU-hours are still a real cost of
+    the science and the #51 baseline's 496.5 of them belong in the paper."""
+    rec, = parse_sacct(_line("42", "prep", "klone", "ckpt-all", "ckpt", "COMPLETED",
+                             "2026-07-24T00:00:00", "2026-07-24T02:00:00", 7200,
+                             "cpu=12,mem=100G,node=1"))
+    assert rec["gpus"] == 0 and rec["gpu_hours"] == 0.0
+    assert rec["est_cost_usd"] == 0.0  # priced at zero, not unpriced
+
+
+def test_an_unpriced_cluster_is_visibly_unpriced_not_silently_free():
+    rec, = parse_sacct(_line("7", "j", "somewhere_else", "gpu", "normal", "COMPLETED",
+                             "2026-08-01T00:00:00", "2026-08-01T01:00:00", 3600,
+                             "gres/gpu=1"))
+    assert rec["est_cost_usd"] is None and rec["rate_usd_per_gpu_hour"] is None
+    assert summarize([rec])["somewhere_else"]["unpriced"] == 1
+
+
+def test_overriding_the_cluster_name_says_so(capsys):
+    """A dump can legitimately span clusters, and restamping one silently would
+    price its jobs at the wrong rate and attribute its GPU-hours to the wrong
+    machine. Nothing downstream can detect that, so it has to be loud here."""
+    rows = parse_sacct(PREP, cluster="klone")
+    assert rows[0]["cluster"] == "klone" and rows[0]["rate_usd_per_gpu_hour"] == 0.0
+    out = capsys.readouterr().out
+    assert "WARNING" in out and "tillicum" in out
+    # ...and no warning when the override agrees with sacct.
+    parse_sacct(PREP, cluster="tillicum")
+    assert "WARNING" not in capsys.readouterr().out
+
+
+def test_lines_that_are_not_job_records_are_skipped():
+    text = "\n".join(["", "sacct: warning: something", "a|b|c", PREP])
+    assert len(parse_sacct(text)) == 1
+
+
+def test_requeued_incarnations_are_separate_rows_not_one():
+    """klone's ckpt partition preempts and requeues: the paper's Stage 2 run was 15
+    preemptions. sacct -D reports each incarnation under the SAME job id, so keying
+    on the id alone would throw away all but the last one's compute."""
+    a = _line("999", "train", "klone", "ckpt-all", "ckpt", "PREEMPTED",
+              "2026-08-01T00:00:00", "2026-08-01T03:00:00", 10800, "gres/gpu=4")
+    b = _line("999", "train", "klone", "ckpt-all", "ckpt", "COMPLETED",
+              "2026-08-01T04:00:00", "2026-08-01T09:00:00", 18000, "gres/gpu=4")
+    rows = parse_sacct(a + "\n" + b)
+    assert len({row_key(r) for r in rows}) == 2
+    assert summarize(rows)["klone"]["gpu_hours"] == pytest.approx(32.0)
+
+
+def test_appending_twice_does_not_double_count():
+    """Someone will run this again next week. It has to add what is new and
+    nothing else, or the ledger inflates every time anyone checks it."""
+    rows = parse_sacct(PREP + "\n" + SMOKE)
+    assert len(new_rows(rows, [])) == 2
+    assert new_rows(rows, rows) == []
+
+
+def test_a_job_recorded_while_running_is_re_recorded_once_it_finishes():
+    """Its elapsed time was still growing when we first saw it, so the first row
+    understates the cost. Readers take the last row per key."""
+    running = parse_sacct(_line("500", "train", "tillicum", "", "normal", "RUNNING",
+                                "2026-08-01T00:00:00", "Unknown", 3600, "gres/gpu=1"))
+    done = parse_sacct(_line("500", "train", "tillicum", "", "normal", "COMPLETED",
+                             "2026-08-01T00:00:00", "2026-08-01T05:00:00", 18000,
+                             "gres/gpu=1"))
+    assert len(new_rows(done, running)) == 1
+    assert new_rows(done, done) == []          # ...but only once
+
+
+def test_a_re_recorded_job_is_counted_once_not_twice(capsys):
+    """The other half of re-appending: the ledger then holds both the RUNNING row
+    and the finished one, and totalling every row bills the job for both. 5.0
+    GPU-hours, not 6.0."""
+    running = parse_sacct(_line("500", "train", "tillicum", "", "normal", "RUNNING",
+                                "2026-08-01T00:00:00", "Unknown", 3600, "gres/gpu=1"))
+    done = parse_sacct(_line("500", "train", "tillicum", "", "normal", "COMPLETED",
+                             "2026-08-01T00:00:00", "2026-08-01T05:00:00", 18000,
+                             "gres/gpu=1"))
+    ledger_rows = running + new_rows(done, running)
+    assert len(ledger_rows) == 2
+    assert [r["state"] for r in latest_rows(ledger_rows)] == ["COMPLETED"]
+    agg = summarize(ledger_rows)["tillicum"]
+    assert agg["jobs"] == 1
+    assert agg["gpu_hours"] == pytest.approx(5.0)
+    assert agg["usd"] == pytest.approx(4.50)
+    print_by_name(ledger_rows)
+    assert "5.0" in capsys.readouterr().out
+
+
+def test_terminal_states_include_the_ones_with_a_suffix():
+    assert is_terminal("CANCELLED by 12345") and is_terminal("COMPLETED")
+    assert is_terminal("PREEMPTED") and not is_terminal("RUNNING")
+    assert not is_terminal("PENDING") and not is_terminal("")
+    # A requeued incarnation is finished: it has an End time and its elapsed will
+    # not grow, and the next incarnation carries a different start.
+    assert is_terminal("REQUEUED")
+
+
+def test_the_sacct_command_asks_for_duplicates_and_the_pinned_columns():
+    """-D is not optional: without it Slurm reports only the last incarnation of a
+    requeued job, and most of a preempted run's compute silently disappears."""
+    cmd = sacct_command("jfroehli", "2026-07-01")
+    assert "-D" in cmd and "-X" in cmd and "-P" in cmd
+    assert "--format=" + ",".join(SACCT_FIELDS) in cmd
+    # The parser indexes by position, so the two lists must stay in step.
+    assert len(COLUMNS) == len(SACCT_FIELDS)
+
+
+def test_the_ledger_round_trips_through_the_shared_writer(tmp_path):
+    log = tmp_path / "compute_log.jsonl"
+    ledger.append_rows(str(log), parse_sacct(PREP + "\n" + SMOKE))
+    assert log.read_bytes().count(b"\r\n") == 0        # LF, on Windows too
+    back = ledger.read_rows(str(log))
+    assert [r["job_id"] for r in back] == ["198910", "198638"]
+    # Both ledgers name the duration the same, so one reader can total them.
+    rows, usd, hours, recovered = ledger.ledger_totals(str(log))
+    assert rows == 2 and usd == pytest.approx(4.20, abs=0.005)
+    assert hours == pytest.approx((16812 + 120) / 3600.0)
+    assert recovered == 0        # sacct rows are measured, never reconstructed
+
+
+def test_the_compute_ledger_is_re_included_in_gitignore():
+    """analysis_out/* is ignored wholesale, so a new committed artifact under it
+    needs an explicit re-include or it is silently never committed — which is the
+    class of failure this whole issue is about."""
+    with open(os.path.join(REPO_ROOT, ".gitignore"), encoding="utf-8") as fh:
+        assert "!analysis_out/compute_log.jsonl" in fh.read()
diff --git a/tests/test_vertex_usage.py b/tests/test_vertex_usage.py
new file mode 100644
index 00000000..06e43c02
--- /dev/null
+++ b/tests/test_vertex_usage.py
@@ -0,0 +1,145 @@
+"""Reconciling the committed ledger against what the provider actually billed (#143).
+
+The numbers in these fixtures are the real #139 incident: a claude-opus-5 leg billed
+11,988,993 input tokens (~$70.41) and wrote no row to analysis_out/usage_log.jsonl.
+This is the check that would have said so on the day, while the metric was still
+inside its ~6-week retention window.
+
+No network and no cloud credentials: only the pure comparison functions are exercised,
+because `fetch_token_series` imports google-auth lazily inside itself.
+"""
+import os
+import sys
+from pathlib import Path
+
+import pytest
+
+REPO_ROOT = str(Path(__file__).resolve().parents[1])
+sys.path.insert(0, REPO_ROOT)
+sys.path.insert(0, os.path.join(REPO_ROOT, "scripts", "analysis"))
+sys.path.insert(0, os.path.join(REPO_ROOT, "scripts", "model_comparison"))
+
+from rampnet import ledger  # noqa: E402
+from vertex_usage import (  # noqa: E402
+    ledger_totals_by_model, print_reconciliation, reconcile,
+)
+
+OPUS_BILLED = {"input": 11_988_993, "output": 418_503}
+SONNET_BILLED = {"input": 12_594, "output": 480}
+
+
+def _row(model, ts="2026-08-18T14:54:02+00:00", **kw):
+    return dict({"ts": ts, "model_id": model}, **kw)
+
+
+def test_a_leg_that_billed_and_logged_nothing_is_flagged_missing():
+    """The #139 failure exactly: $70.41 of opus with no ledger row. #119's guard
+    cannot see it — that one proves a log path was accepted, never that the file it
+    wrote survived — so this comparison is the only thing that catches it."""
+    logged = ledger_totals_by_model([_row("claude-sonnet-5", input_tokens=12_594,
+                                          output_tokens=480)])
+    rows = reconcile({"claude-opus-5": OPUS_BILLED,
+                      "claude-sonnet-5": SONNET_BILLED}, logged)
+    verdicts = {r["model_id"]: r["verdict"] for r in rows}
+    assert verdicts["claude-opus-5"].startswith("MISSING")
+    assert verdicts["claude-sonnet-5"] == "ok"
+
+
+def test_a_ledger_that_matches_reconciles_clean():
+    logged = ledger_totals_by_model([
+        _row("claude-opus-5", input_tokens=11_000_000, output_tokens=400_000),
+        _row("claude-opus-5", input_tokens=988_993, output_tokens=18_503),
+    ])
+    rows = reconcile({"claude-opus-5": OPUS_BILLED}, logged)
+    assert rows[0]["verdict"] == "ok" and rows[0]["logged_rows"] == 2
+
+
+def test_a_short_ledger_is_flagged_under_and_an_over_one_is_not_alarming():
+    """Asymmetric on purpose: billed > logged is spend with no record, which is the
+    failure this exists for. logged > billed is odd but harmless — a re-run, or a
+    row stamped just outside the queried window."""
+    under = reconcile({"m": {"input": 1_000_000}},
+                      ledger_totals_by_model([_row("m", input_tokens=500_000)]))
+    over = reconcile({"m": {"input": 1_000_000}},
+                     ledger_totals_by_model([_row("m", input_tokens=1_500_000)]))
+    assert under[0]["verdict"].startswith("UNDER")
+    assert over[0]["verdict"].startswith("over")
+
+
+def test_small_drift_is_within_tolerance():
+    """Cloud Monitoring's daily rows are 24 h windows ending at query time-of-day,
+    not calendar days, so an exact match is not the bar — a leg straddling the
+    boundary moves a little either way."""
+    rows = reconcile({"m": {"input": 1_000_000}},
+                     ledger_totals_by_model([_row("m", input_tokens=990_000)]))
+    assert rows[0]["verdict"] == "ok"
+
+
+def test_free_legs_are_not_reconciled_against_a_bill():
+    """A row with no token keys is a GPU leg (#143). It has no bill to compare to,
+    and counting it as a model with zero tokens would invent a MISSING verdict."""
+    logged = ledger_totals_by_model([_row("owlv2-large-patch14-ensemble", paid=False,
+                                          elapsed_s=900.0)])
+    assert logged == {}
+
+
+def test_rows_outside_the_window_are_not_counted_against_it():
+    """The ledger is append-only and covers all time; the metric query covers
+    --days. Comparing the two without trimming would report a spurious 'over'."""
+    rows = [_row("m", ts="2026-06-01T00:00:00+00:00", input_tokens=9_000_000),
+            _row("m", ts="2026-08-18T00:00:00+00:00", input_tokens=1_000_000)]
+    assert ledger_totals_by_model(rows, since="2026-08-01")["m"]["input"] == 1_000_000
+    assert ledger_totals_by_model(rows)["m"]["input"] == 10_000_000
+
+
+def test_a_recorded_recovery_explains_the_gap_instead_of_repeating_the_alarm():
+    """The #139 gap is closed: it was found, priced, and written into the ledger as
+    a recovery. The check must still refuse to count that row as a measurement — it
+    was read off this same bill — but reporting the same 11,940,249 tokens as
+    unaccounted for every run teaches an operator to ignore the one check that
+    catches a silent no-write."""
+    logged = ledger_totals_by_model([
+        _row("claude-opus-5", input_tokens=48_744, output_tokens=2_752),
+        _row("claude-opus-5", kind=ledger.RECOVERED, input_tokens=11_940_249,
+             output_tokens=415_751),
+    ])
+    assert logged["claude-opus-5"]["input"] == 48_744        # not the recovered row
+    assert logged["claude-opus-5"]["recovered_input"] == 11_940_249
+    row = reconcile({"claude-opus-5": OPUS_BILLED}, logged)[0]
+    assert row["verdict"] == "ok (1 recovered)"
+    assert row["logged_rows"] == 1 and row["unexplained_input"] == 0
+
+
+def test_a_partial_recovery_still_flags_the_part_nobody_has_looked_at():
+    """A recovery explains only what it covers. The remainder is spend with no
+    record, which is exactly what the check exists to say."""
+    logged = ledger_totals_by_model([
+        _row("m", kind=ledger.RECOVERED, input_tokens=400_000)])
+    row = reconcile({"m": {"input": 1_000_000}}, logged)[0]
+    assert row["verdict"].startswith("UNDER")
+    assert row["unexplained_input"] == 600_000
+
+
+def test_the_report_prints_the_recovered_column_and_does_not_cry_emergency(capsys):
+    logged = ledger_totals_by_model([
+        _row("claude-opus-5", input_tokens=48_744),
+        _row("claude-opus-5", kind=ledger.RECOVERED, input_tokens=11_940_249),
+    ])
+    worst = print_reconciliation(reconcile({"claude-opus-5": OPUS_BILLED}, logged))
+    out = capsys.readouterr().out
+    assert worst == []
+    assert "recovered in" in out and "11,940,249" in out
+    assert "emergency with a deadline" not in out
+    assert "not a measurement" in out       # still not evidence the leg was logged
+
+
+def test_the_report_says_what_to_do_about_a_gap(capsys):
+    """A missing row is recoverable for ~6 weeks and then not at all, so the output
+    has to carry the deadline rather than just the discrepancy."""
+    worst = print_reconciliation(reconcile({"claude-opus-5": OPUS_BILLED},
+                                           ledger_totals_by_model([])))
+    out = capsys.readouterr().out
+    assert len(worst) == 1
+    assert "emergency with a deadline" in out and "6 weeks" in out
+    assert "per-model per-DAY" in out       # per-split attribution is already gone
+    assert "11,988,993" in out