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knowledge: distinguish Xe-Forge trial origin and timing - #322

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Dong1017:codex/issue91-xeforge-source

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@Dong1017

@Dong1017 Dong1017 commented Nov 2, 2026 •

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Refs #91. Refs #177.

Problem and scope

Xe-Forge's tool-recorded origin, valid timing, comparison ordering and operation success describe different facts. This source-only amendment adds one reference and an ordinary source-readset JSON to the existing inference-benchmark-design owner, with an entry pointer, incremental metadata and both matrix mappings.

The guidance distinguishes caller-reported correctness from an observed oracle result, first-pass cohort pinning from complete measurement validity, and unresolved-comparison parity from a measured gain. It preserves conditional stale-ratio clearing, manual versus strict selection defaults, saved-versus-delivered byte identity and baseline-only oracle limits.

Fixed sources

  • IntelLabs/Xe-Forge, pinned to 6cd3ee98dfe32746b345a6abe521fa4cb9bdc187, Apache-2.0. The readset records exact inspected ranges for 18 source, rights and test-definition files.
  • Xe-Forge paper v1, CC BY 4.0, with text, appendix, tables and figure-caption scope recorded separately. Fourteen unverified graphics are excluded from conclusions. Source code, curated kernels, datasets, paper graphics and DCO text are not redistributed.

Original Xe-Forge canonical source 4c0888c1ec85d02f4b5d753e2389698652baf8b4 is retained through integration M aed1f791f5aac75d930d14ae7feef743b32b4b57 over main 1fca842ad692bafc1de5e005d10fd755d7e6534f. Corrective actual source M bb4720992ac2a515adc09b645e1e3cfda47e9d69 follows prior H ed8b30633c57cef2dd3da864fcaef777f76cf4e5 and names the existing benchmark owner in the Reference Matrix row. Native G/H is c624c4c1c0e6631e026a2c2f7facef51719736ad. The original parser now attributes that source row to its owner. Both source resources, all metadata, the Searchspace Matrix and exact applicability exclusion reason retain their prior bytes; this methodology owner remains N/A for hardware-resource coverage.

Current main 663f3b327998526a13aa31e72ad729025c18983c adds five release-only files without changing canonical knowledge, policy or generators. Current-main hosted validation must preserve that separate delta; the tested merge tree may differ from H. Pending DeepSeek/NInfer source inputs are not imported. Future sequential integration must retain every actual canonical increment and regenerate projections from the resulting source revision.

Validation and limits

Both original native write modes passed from the actual corrected M. The unmodified coverage parser was checked before and after the one-row canonical change; only the Xe-Forge row gained the existing registered owner. No generator, runtime, schema, evaluation or source content was changed.

Both original final-H check modes passed: the index reports 79 current metadata records and coverage matches its sources. Actual-H owner/catalog/checkout/source-package and revision-bound resource reads passed. The source-file manifest has 12 paths; checkout returns 13 resources and the source-package reader resolves 757 dependency resources. Whole-resource Collect selected 12 resources (154,669 bytes) with no omissions. Both unchanged references and the exact hardware applicability exclusion remain verified; source-package reads use this checkout.

Ready 41632654789 passed all six jobs. Python 3.10 and 3.11 full checks each reported 3,544 passed / 13 skipped / 1 warning / 284 subtests, plus Ruff. Both fresh isolated noneditable wheel installations loaded 127 source-grounded records from site-packages outside the checkout and verified the declared resource hashes, including both Xe references.

Those hosted jobs exercised actual merge 0c9b40d6d89f41e669b3de6ef93f9405641ccc9f, tree 3ec02a78aef2e3653e3ffab58604a6fc8d825ae0, with actual main 663f3b32 and this H as parents. Its complete difference from H is exactly the five release-only files; canonical sources, native projections, ready workflow and installed checker are identical to H. This hosted evidence is separate from the native source-adapter reads performed directly at H.

Private independent gpt-6.1-sol / ultra review covered the complete corrected H, source preservation, all native projections, the resolved owner mapping, actual readers and these current software/wheel results: LGTM, with no current-H findings. The reviewer is review-only. Current-H Codex review completed with no findings or unresolved flags; the complete inline-thread read returned zero threads. Current PR checks report the final head-bound declaration result. Earlier CI and LGTM at ed8b3063 remain historical.

SkillEval has zero comparisons / zero model calls and 87 unsupported paths. The nonpaid actual-H source/index check and explicit source/content review supply their limited disposition; no efficacy result follows.

Knowledge remains candidate/not_run and efficacy remains not_evaluated. No upstream suite, model/device execution, kernel benchmark, quality/service experiment or paid trial was run.

Knowledge authorship declaration

{
  "schema_version": 1,
  "head_sha": "c624c4c1c0e6631e026a2c2f7facef51719736ad",
  "human_only": false,
  "material_ai_authors": [
    {
      "tool": "Codex",
      "model_id": "gpt-6.1-sol",
      "effort": "max",
      "role": "author"
    }
  ]
}

Bind saved kernel trials to result origin and comparator identity.
Keep host gates, selection parity, caller defaults and oracle limits explicit.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex (gpt-6.1-sol, reasoning_effort=max)
Require result-origin and evaluator receipts before treating a stored pass as observed acceptance.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex (gpt-6.1-sol, reasoning_effort=max)
Regenerate coverage and the catalog from the committed Xe-Forge source amendment.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex (gpt-6.1-sol, reasoning_effort=max)
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Codex Review Summary

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Review Status Commit Review trigger
📝 Code Review ✅ Completed 2026-11-03T12:09:42.617184Z c624c4c New commits
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Skill evaluation

PLANNED: not executed; there are no task outcomes yet.
No approval, model efficacy or current-head test result is implied.

  • Next: run the pinned source/index --check below at head c624c4c1c0e6631e026a2c2f7facef51719736ad.
  • Blockers: Executable snapshot entries are not supported. No unsafe fallback; details below.
  • Selected comparisons: 0 · Estimated task calls: 0. Uncovered/unsupported changes: 87; Canonical library paths: 4; Generated projection paths: 80; Other paths: 3. These are paths, not independent claims.
  • Return: command, input/source pin, exit status, outputs/failures and untested claims for independent verified/refuted/unverified disposition.
Author verification steps (nonpaid; not yet run)
  1. Bind the checkout. Run git rev-parse HEAD; it must equal c624c4c1c0e6631e026a2c2f7facef51719736ad. If it differs, obtain a current plan; do not reuse old results.
  2. Check source/index consistency. At that PR checkout, using the reviewed repository tool and its documented development dependencies, run:
python tools/build_skill_index.py --source-revision bb4720992ac2a515adc09b645e1e3cfda47e9d69 --check

The declared source pin matches this head's canonical library bytes. The command has not run: retain its exit code and full drift/success output. It checks the generated projection, not claim truth or skill efficacy.
No supported automatic comparison is selected. Review the canonical changes and explain which claims need evidence, are unaffected, or remain unverified; do not treat generated records as separate behavioral claims.

  • inference-benchmark-design
    Selected by the trusted path mapping: src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md; src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json (+2 more in the plan).
    Unsupported: Executable snapshot entries are not supported. No snapshot prepared; task metadata is in details. Do not relax snapshot safety.
    Uncovered scope by location: Canonical library paths: 4; Generated projection paths: 80; Other paths: 3. Path counts are not claim counts; no metadata-only conclusion is inferred.
  1. Return evidence for independent review: head, check/task/source pin, command, environment, exit status, outputs/failures and untested claims. Label scripted controls. Request each claim's disposition: verified, refuted or unverified; this plan proves neither model provenance nor benefit.
    Check recipes and evidence limits

Evidence and logs · Retention: 30 days.
Retained artifacts are verifiable only before Unix time 1796299507 while the linked artifact is available. Expired evidence is unverified.

Plan bindings, budget, frozen exam and advisory details

Advisory: obtain missing evidence

Retained evidence availability: planned / unexecuted. No approval or merge authorization is issued.
Applicable only while these revisions and inputs match the current PR.
Paid execution requires trusted label authorization and cumulative PR reservation. Unknown accounting blocks new paid calls; planning is not execution.
Pipeline evidence only; offline fixed outputs do not establish skill efficacy.
Unchanged-correct is valid neutral evidence, not incremental benefit.
Content/source review and authorship admission remain separate.
Trusted regrading checks retained answers, not model/hardware provenance or a hostile executor; this is not an efficacy certification.

  • Retained evidence is planned / unexecuted.
  • No supported comparison cases were selected.
  • Uncovered/unsupported scope needs a case or explicit reviewer disposition.
    Plan SHA-256: 538bcae1f01f5bad2e673c0496f2c14fdc72a3ea7473592e34de459475c9cb7a
    Base: 1fca842ad692bafc1de5e005d10fd755d7e6534f · Head: c624c4c1c0e6631e026a2c2f7facef51719736ad
    Trusted implementation: 663f3b327998526a13aa31e72ad729025c18983c

Model/settings: {"effort":"not_applicable","name":"claude-opus-5-5"}
Budget: {"comparisons":0,"estimated_calls":0,"limits_per_comparison":{"campaign_seconds":600,"max_task_calls":2,"repeats":1,"timeout_seconds":180,"token_stop_new_trials":200000},"provider_config_sha256":"b28d80f8194fbe0f5a9f01515efb24b218979fd45f702776560da276f4b30d04","reservation":null}

Skill Comparison Cases Estimated calls
inference-benchmark-design unsupported snapshot: Executable snapshot entries are not supported — 0

Selection/task metadata (not a relevance verdict):

{"adapter":"audit","basis":"trusted_path_mapping","matched_paths":["src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md","src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json","src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/xeforge-source.json","src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/xeforge-trial-evidence.md"],"tasks":[{"evidence_scope":"http_fixed_workload","id":"audit-threshold","request":"Audit the fixed input report using its contract. Compute the median of per-trial request means, including every request in each trial, and the percentage reduction relative to the baseline aggregate.","split":"holdout"}]}

Automatic execution / cumulative PR budget:

{"reason":"Trusted configuration or pricing missing, invalid or expired","remaining_usd":"unknown","reserved_or_unresolved_usd":"unknown","spent_or_legacy_usd":"unknown","state":"blocked"}

Projection check selection (not an executed result):

{"declared_in":"src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md","source_revision":"bb4720992ac2a515adc09b645e1e3cfda47e9d69","status":"ready"}

Provider/settings: {"client":{"api_version":"2023-06-01","endpoint":"https://yibuapi.com/v1/messages","kind":"anthropic-messages-full-context-v1","max_output_tokens":4096,"max_read_bytes":32768,"max_request_bytes":262144,"max_requests":1,"max_tool_calls":12,"provider":"yibuapi"},"limits":{"token_stop_new_trials":200000},"model":{"effort":"not_applicable","name":"claude-opus-5-5"},"pricing":{"currency":"USD","expires_at":1793271228,"group":"default","max_input_tokens":1000000,"model":"claude-opus-5-5","rate_evidence":"https://github.com/InferMatrixLab/InferRSI/issues/215#issuecomment-6467531341","rates":{"cache_read":"0.4","cache_write":"10","input":"8","output":"40"},"request_fee":"0","unit":"per_million_tokens"},"spend_limit":{"amount":"200","currency":"USD"}}

Uncovered / unsupported paths (87)
  • uncovered: "docs/reference-matrix.md"
  • uncovered: "docs/searchspace-matrix.md"
  • uncovered: "docs/skill-coverage.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torch-npu.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/pytorch.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/xeforge-source.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/xeforge-trial-evidence.md"

@Dong1017 Dong1017 added the area:knowledge Knowledge line: packs, skill library, knowledge admission label Nov 2, 2026 — with ChatGPT Codex Connector

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Source review found no actionable defect in the Xe-Forge amendment at 76b680a6. Skill Eval still has no executed comparison; this is a scoped source/software COMMENT, not an unconditional merge-readiness conclusion.

  • Verified source claims: all 18 pinned source files match the recorded byte counts, SHA-256 and Git blob identities. The inspected host/manual/Claude paths support the distinctions between recorded origin, comparison validity, conditional ratio updates, measured-only selection, delivered bytes and baseline-oracle limits.
  • Software evidence: current Ready and per-head declaration checks pass. The tested synthetic merge has exactly the head tree. The canonical source-to-head delta contains only 81 projection files; the other 78 cards change only their source URL/commit headers.
  • Remaining limits: the Skill Eval plan selects zero comparisons and retains the executable-snapshot refusal. Its nonpaid index-check success is author-reported and checks projection consistency. Source fidelity is verified within the inspected paths; skill benefit, native execution and model/service acceptance remain unverified.
  • Next: the existing PR owner, Dong1017, retains integration. Use this bounded source/software disposition alongside the remaining evaluation limits when making the integration decision; no new implementation work is assigned.
Evidence and review scope
  • Reviewed head: 76b680a6a2be842e7999ffaf4a1a31c76c3dfac2.
  • API base / observed main: 2baebf6ebb815ebf07d21c41e3b3754858c0798e.
  • Canonical source: 4c0888c1ec85d02f4b5d753e2389698652baf8b4; projection-only delta.
  • Xe-Forge pin: 6cd3ee98dfe32746b345a6abe521fa4cb9bdc187. I reread the recorded source identities/ranges and traced the amendment's claims through the pinned trial manager, benchmark, external host, CLI, trial/finalization and Claude-engine paths. I checked relevant paper v1 context and claim boundaries; the retained HTML digest, unused graphics and empirical results were not independently validated.
  • Ready run passed all six jobs. I inspected the Python 3.11 full-check log: Ruff passed; 3,389 tests passed, 13 skipped, 284 subtests passed. Checkout d58d053437ab62452fe6a05f6233d369a10de9ed has main/head parents and the same Git tree as head: 8062924cf9e8fa2e9b98ddb1233b37d1f2b6a9d3.
  • Current declarations passed. Skill Eval remains PLANNED with execution skipped. I assessed the nonpaid handoff under the current contract: the source review supports source-fidelity claims, while a path mapping or index check does not establish task benefit.
  • Independent maintenance review; I did not implement this PR. This run performed static reads, hashing and existing-log inspection only. No local suite, upstream tests, model/device execution or paid trial was run. Candidate/not_run status and efficacy limits remain applicable. This comment does not accept the governing Issues.

Preserve the existing Xe-Forge source reference and main applicability, resource-layer and matrix additions before regenerating projections.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Rebuild the native catalog and resource-layer coverage from the actual combined canonical source revision.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
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The PR adds a source readset and an interpretation reference for IntelLabs/Xe-Forge to the inference-benchmark-design skill, updates both matrices and the owner metadata, and regenerates the packaged projections (79 skill records, the knowledge README, docs/skill-coverage.md). I re-rendered all 81 generated paths from the head tree and they match byte-for-byte, confirmed the canonical library at the declared source pin aed1f791… equals the head library, build_skill_coverage.py --check passes, and the new record's 12 source_files hashes round-trip through KnowledgeReader; the targeted knowledge/index tests pass. The complete local suite is not a usable signal in this container (git 2.39 lacks --no-lazy-fetch, sandboxed tmp), so the head's green hosted run remains the authority; no findings, and the edited body's verifiable claims (81 projection files, source-pin bytes, current main's five release-only files) hold. Relevance: current — main's 663f3b32 delta is release tooling only and does not overlap this knowledge slice.
Earlier findings: none (the prior Codex review reported zero findings; the body edit only replaces the pending validation section with completed evidence that matches the tree).
Labels: kind:docs (knowledge/documentation delivery; area:knowledge is already set by a human)

Reviewed commit: ed8b306
Coverage: Snapshot: 2645 files, 42452485 bytes; skipped 0 entries; Initial model context: 28 files; other accepted files available through tools; Git workspace contains a fixed snapshot, not full upstream history

@agent-ci-infra-bot agent-ci-infra-bot Bot added bot-reviewed kind:docs Documentation and template delivery labels Nov 3, 2026
Make the reference matrix source row attributable to the registered
benchmark owner. Retain its hardware applicability exclusion and sources.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Generate native projections from actual corrected canonical source
bb47209.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
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Head c624c4c adds the Xe-Forge source record and interpretation reference to inference-benchmark-design, both matrix mappings, and regenerates the packaged projections; the final commits add one reference-matrix owner token and rebuild the catalog/coverage from corrected source pin bb472099. I re-verified the generated state (index --check against bb472099: "Skill index is current: 79 metadata records"; coverage --check: "docs/skill-coverage.md matches its sources"), confirmed the 79 changed cards differ only in source URL/commit and that the head library is byte-identical to the declared pin, and ran the knowledge/index/skill test files (all pass); the full local suite is environment-blocked (git 2.39 < 2.45, noexec tmp) and the hosted full/installed-package checks are green on this head. Earlier findings: none — the prior review at ed8b3063 reported zero, and I found no new defect. Relevance: current — main's single 663f3b32 commit adds release workflow/docs/tests/tool files only, with no overlap with this knowledge slice. Labels: kind:docs (documentation/knowledge delivery; area:knowledge is already set by a human).

Reviewed commit: c624c4c
Coverage: Checkout: 2645 files at c624c4c in a git worktree with the repository's history

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