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knowledge: qualify causal-conv1d forward and state contracts - #164

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Dong1017 merged 6 commits into
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codex/issue141-causal-conv1d-contract
Oct 28, 2026
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Dong1017 merged 6 commits into
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codex/issue141-causal-conv1d-contract

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@Dong1017 Dong1017 commented Oct 27, 2026 •

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Refs #141.

Retain the causal-conv1d forward/update contract and five operational decision cases in the existing kernel-writing-guide. The fixed source remains Dao-AILab/causal-conv1d at cd81f0413cad2fc1e6f17e785ac39f59aae690cd, with the ten-file / 119,136-byte ledger and complete BSD-3-Clause notice. The contract and case resources remain byte-identical to original head 1211c81adcfa1d20c4c2b36bbc113ccab2d2d470. They remain source-derived guidance: native execution, downstream binding/readiness, numerical qualification, performance and agent efficacy are unqualified; the five cases specify expected decisions, not evaluated agent outputs.

Source merge 49335e0c388b84211364170daf3603525885eb28 has ordered parents 1cf2fdce194e8f14267727e11bc82a8b239920eb and actual main a88f4c989f8e814de78fe820f8c6ac9af7cabc6e. It changes exactly the original six canonical paths relative to main, preserving every other main blob and file mode, the existing kernel guide, navigation, fixed-workload minimum/maximum clarification, benchmark addition, and every matrix row. The original ten-line procedure insertion and one original row per matrix are retained. Metadata preserves every nondefault source field and continues the already accepted omission of empty references and placeholder applicability.

Generated head 98a95ccf0359f8dc6d028611412d5c37330fe29d is the sole child of that source merge and changes exactly 76 generated files: 75 index outputs plus the coverage view. Unchanged native index functions completed one render from 492 real committed inputs; its complete raw return, path set, output hashes and same-return byte readback are retained. All 73 other index records change only provenance; the kernel-guide record matches canonical metadata and real resource hashes. All 572 cached canonical paths were checked unchanged before and after generation. Inventory remains 74 registered owners, 118 Skill documents, 122 catalog records, 59 local profiles and four structured JSON cases; inventory assertions remain unchanged.

The first combined generation process reached the shared 240-second deadline and received SIGTERM after the index had completed. Coverage had entered but produced no return; its internal render-entry state remains unknown. A separately authorized coverage-only recovery then returned success with a full 240-second bound, without another index render. Actual counts are one completed index render, two coverage attempts and one completed native coverage return. The native coverage output binds all 148 real source inputs; only its input digest and kernel-guide row differ from main. Both process receipts are retained.

The stock Windows index CLI, coverage --check, local full suite, full-library reader and installed-package checks were not run. Fresh independent review and all applicable final-head Linux software, package, coverage and authorship checks remain required; historical reviews and CI are not clearance for this new head. No runtime, evaluator, trusted mapping, workflow, credential, permission or executable-mode change is included. No model/provider/device call, dependency installation or efficacy evaluation was performed. Candidate/not_run state and the governing Issue's acceptance status remain unchanged.

The original material and this repair both used actual Codex / gpt-6.1-sol / max. Review-only instances are recorded separately.

{
  "schema_version": 1,
  "head_sha": "98a95ccf0359f8dc6d028611412d5c37330fe29d",
  "human_only": false,
  "material_ai_authors": [
    {"tool": "Codex", "model_id": "gpt-6.1-sol", "effort": "max", "role": "author"}
  ]
}

Add the pinned source contract and five operational decision cases to the existing kernel-writing guide, with bounded source metadata and matrix coverage. Preserve candidate state and unrun native validation.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: GUOGUO <xwdong1998@163.com>
Regenerate all registered skill projections from the committed canonical source snapshot with the native index builder.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: GUOGUO <xwdong1998@163.com>
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Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review Status Commit Review trigger
📝 Code Review ✅ Completed 2026-10-28T23:27:14.682140Z 98a95cc New commits
ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

  • Open a pull request for review
  • Mark a draft as ready
  • Comment "@codex review" or "@codex security review".

Codex reacts with 👀 while any review is running, comments if it has suggestions, and reacts with 👍 once all reviews finish with no findings.

@Dong1017 Dong1017 added the area:knowledge Knowledge line: packs, skill library, knowledge admission label Oct 27, 2026 — with ChatGPT Codex Connector

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Source/content-scope LGTM at head 1211c81adcfa1d20c4c2b36bbc113ccab2d2d470, base 97f77a91373f3e2b61b03afcfd227e21edbffa2f; this is NOT an unconditional merge-ready conclusion.

Independent static review covered the exact diff, #141's bounded first-source scope, existing discussion, the pinned causal-conv1d Python/C++/CUDA forward/update and state/packed-layout paths, build/binding evidence and upstream test references. The ten ledger blob identities/byte counts match the pinned upstream tree. No actionable source/content correctness blocker was verified. The distinction between build targets and observed dispatch, candidate/not_run status and unqualified native/agent efficacy is appropriately retained.

Software CI: Ready run 40433826057 passed all four Python 3.10/3.11 full-check and installed-package jobs; draft smoke passed. Latest knowledge-model-policy is success via 40434861138. These are software/declaration checks, not hardware or skill-effectiveness validation. I did not execute upstream code, models or GPU tests.

Outstanding prerequisite: the current-head Skill Eval publish job failed. It actually checked out the current trusted main and now reports category=permission, HTTP 403, on POST /issues/{number}/comments; execute was skipped. This is a live publication blocker, not an obsolete-head test failure, and its precise permissions/policy cause is still unresolved. Under the owner's current all-applicable-CI-pass merge condition, retain the merge hold until it is resolved or explicitly adjudicated. No new evaluation/model requirement is added to this source-only slice; uncovered mapping and not_evaluated remain honest limitations. This review does not grant #141 acceptance.

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Integration-status update only at unchanged inspected head 1211c81adcfa1d20c4c2b36bbc113ccab2d2d470 (PR API base snapshot 97f77a91373f3e2b61b03afcfd227e21edbffa2f). Actual main is 38d5883b8e72e352865e214194cb22dc99253dbd; GitHub now reports mergeable=false / dirty. The prior source-scope review remains valid historical evidence, but is not current integration clearance.

Before merge, reconcile this branch with current main, preserve both accepted contributions, regenerate affected projections only where source-binding rules require it, and verify packaging plus applicable checks on the resulting head. No conflict-file attribution is made without a merge reproduction; no new content/feature requirement is introduced. This is not a new HTTP403 finding: shared publisher recovery was verified separately. No code execution, branch change, workflow dispatch or merge was performed by this review.

Preserve the original contract, cases, source pins and additive matrix rows.
Retain current main's omission of redundant applicability and references
defaults while preserving every nondefault source field. Regenerate separately.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: GUOGUO <xwdong1998@163.com>
Use unchanged native generator functions at the committed source revision.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: GUOGUO <xwdong1998@163.com>
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github-actions Bot commented Oct 27, 2026 •

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Skill evaluation

Automatic execution / cumulative PR budget: {"reason":"Audited PR ledger missing, unavailable or unsafe","remaining_usd":"unknown","reserved_or_unresolved_usd":"unknown","spent_or_legacy_usd":"unknown","state":"blocked"}

Advisory: obtain missing evidence

Retained evidence availability: planned / unexecuted. No approval or merge authorization is issued.

  • Retained evidence is planned / unexecuted.
  • No supported comparison cases were selected.
  • Uncovered/unsupported scope needs a case or explicit reviewer disposition.

PLANNED: execution is not authorized by knowing this hash.
Outcomes: {"fix":0,"inconclusive":0,"missing_pair":0,"regression":0,"unchanged_correct":0,"unchanged_incorrect":0}
Earlier revision results are stale for this plan.

Selected comparisons: 0 · Estimated task calls: 0.
Uncovered/unsupported changes: 82. Gaps never count as passes.

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.
Evidence and logs · Retention: 30 days.
Outcomes are historical; verifiable only before Unix time 1795822002 while the linked artifact is available. Expired evidence is unverified.

Plan bindings, budget, frozen exam and advisory details

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.

Per-case outcomes (discovery excluded; regressions and gaps first):

[]

Showing at most 20 of 0 pairs; the evidence link contains all outcomes, including omitted regressions/gaps.

Plan SHA-256: cd801b1baf8213ba5d9162bec66ebbbca869cf35c46bf3ed863af551c02e2e13
Base: a88f4c989f8e814de78fe820f8c6ac9af7cabc6e · Head: 98a95ccf0359f8dc6d028611412d5c37330fe29d
Trusted implementation: a88f4c989f8e814de78fe820f8c6ac9af7cabc6e

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":"253cf88a7ff04311fd1dae897cb68a8c986f136e837dd00dbe5f8872bd094b5f","reservation":null}

Skill Comparison Cases Estimated calls

Provider/settings: {"client":{"api_version":"2023-06-01","endpoint":"https://yibuapi.com/v1/messages","kind":"anthropic-messages-agent-v1","max_output_tokens":4096,"max_read_bytes":32768,"max_request_bytes":131072,"max_requests":6,"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 (82)
  • 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/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/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/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/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"
  • uncovered: "src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md"
  • uncovered: "src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md"
  • uncovered: "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/causal-conv1d-contract.md"

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LGTM within the existing source/package contribution scope. Incremental review from 1211c81adcfa1d20c4c2b36bbc113ccab2d2d470 to inspected head 1cf2fdce194e8f14267727e11bc82a8b239920eb, base 51fa1d31cc4a805490ddfe8055a36c81d70c4f08.

The original substantive skill/resources and source limitations are preserved; integration retains current-main navigation/matrices. Removed sidecar fields are empty/default values, not lost evidence. Generated projections were refreshed against the integrated source, with unrelated records changing only provenance. Historical merge-conflict/publication prerequisites are cleared.

flowchart LR
 A[Previously reviewed source scope] --> B[Current-main integration]
 B --> C[Regenerated projections]
 C --> D[Exact-head software checks pass]
Loading

Ready 40605464117: all four Python 3.10/3.11 full-check and installed-package jobs pass. Exact-head canonical policy 40606014358 is successful. Skill Eval plan/publish succeeded but selected zero comparisons, execute skipped; this is not efficacy evidence.

Static delta, affected readers/generator/tests and remote CI review only; no local PR execution, model or hardware experiments. Candidate/not-run limits remain. This LGTM does not grant issue acceptance, runtime/device qualification, measured speedup or automatic merge.

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Merge-wave integration prerequisite at inspected head 1cf2fdce194e8f14267727e11bc82a8b239920eb: source-scope LGTM remains, but main advanced through #153 and #97 to 31db51cb7851fc7d68ff2c1098ad58318315905b.

#153 changed the same generated catalog provenance records. Integrate current main while preserving both contributions, then regenerate via the existing generator rather than choosing ours/theirs wholesale. Re-run applicable Ready/package checks on the resulting head. This is integration repair, not a new content or efficacy requirement. Existing green checks predate this combined state.

flowchart LR
 A[Reviewed contribution] --> B[Integrate current main]
 B --> C[Regenerate and verify]
 C --> D[Merge]
Loading

Preserve the original forward/update contract, five decision cases, fixed source
ledger and BSD notice while retaining every current-main contribution. Keep
candidate and not-run limits and omit only the already redundant metadata defaults.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (material author)
Signed-off-by: GUOGUO <xwdong1998@163.com>
Use unchanged native generator output bound to the committed canonical merge.
Preserve source candidate state and native, numerical, performance and efficacy limits.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (material author)
Signed-off-by: GUOGUO <xwdong1998@163.com>

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LGTM for final head 98a95ccf0359f8dc6d028611412d5c37330fe29d within PR164’s bounded source/package scope, against main a88f4c989f8e814de78fe820f8c6ac9af7cabc6e. Independent review-only configuration: actual Codex / gpt-6.1-sol / ultra; I contributed no material to this PR.

Source merge 49335e0c388b84211364170daf3603525885eb28 preserves every main blob/mode outside the six canonical contribution paths, every main matrix row, the original two resources, fixed causal-conv1d pin, ten-file / 119,136-byte ledger and complete BSD-3-Clause notice. The forward/update, packed-history, gathered-row/cursor and build-versus-dispatch distinctions match the inspected pinned source. Candidate/not_run limits remain.

The sole generated child changes 76 expected files. All generated bytes match actual unchanged-native-producer returns and real M hashes; 73 other index records change only provenance. The coverage delta is its 148-input digest and the kernel-guide source/readset row, with every other line preserved. The first combined process timed out after the one completed index render; the separately authorized coverage-only recovery returned successfully. Two coverage attempts, one completed native return, and the original SIGTERM record are retained; no second index render is claimed.

Ready 40787314465 passes all four Python 3.10/3.11 jobs: each full suite reports 2355 passed, 11 skipped and 183 subtests passed; both clean-wheel checks run outside the checkout and retain the new resources and their source hashes. Draft lint/smoke also passes. The current per-head knowledge-model-policy 40787474985 reports compliant with the truthful max-only material declaration.

Skill Eval 40787312162 plan/publish succeeds, with zero selected comparisons and all 82 changed paths uncovered; execute is skipped. I verified both artifact ZIP digests, identical plans, base/head/trusted-code/mapping/adapter bindings and the published plan fingerprint. Explicit reviewer disposition: the six canonical paths are accepted by fixed-source/rights review, the 75 index outputs by native hash/projection and package/reader checks, and the coverage view by native output/digest and committed-view tests. This clears only the bounded source/package contribution; gaps are not efficacy passes. The report archive contains only the plan, with no evaluated model outputs.

Fresh discussion and checks reveal no remaining blocker or duplicate final-head LGTM. I ran no PR/upstream code, model or device experiment. HF binding/readiness, sm_89 binary compatibility, numerical qualification, L20X latency, agent efficacy and Issue #141 acceptance remain unqualified.

@Dong1017
Dong1017 merged commit 013a481 into main Oct 28, 2026
10 checks passed
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area:knowledge Knowledge line: packs, skill library, knowledge admission

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