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knowledge(hardware): audit sources and deepen memory, graph and collective guidance - #262

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codex/hardware-source-depth-20261030
Oct 30, 2026
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david6666666 merged 8 commits into
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codex/hardware-source-depth-20261030

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Governing Issue and delivery slice

Refs #260

The hardware library mixed imported skill guidance with direct implementation evidence, and the host-memory example allowed computation to race an asynchronous copy. This change records the source depth of all 22 hardware owners and adds bounded PyTorch, TorchAir and native HCCL implementation paths, with corrected ordering and lifetime guidance.

The requesting human authorized implementation and Issue/PR publication on 2026-10-30, as recorded in #260. Goal acceptance, merge and closure remain with that human.

Changed artifacts and evidence

  • Host memory: separate copy-to-compute ordering, CPU buffer mutation, allocator reuse and device cross-stream lifetime; correct free-threading detection and remove universal size/performance prescriptions. Retain nine PyTorch files at ba56102387ef21a3b04b357e5b183d48f0afefc7 and two CPython documentation/license files at 60403a5409ff2c3f3b07dd2ca91a7a3e096839c7.
  • TorchAir graph execution: correct backend/configuration ownership; trace capture keys, persistent eager fallback, input staging, replay/update calls and output alias lifetime. Retain 12 files at e1118e8b0fc1b95190ab53b732c0872989550e20, stopping at TorchNPU/CANN calls.
  • HCCL communication: trace one positive-count, multi-rank OPBASE AICPU mesh one-shot AllReduce through selection, scratch-bounded chunks, peer writes, synchronization and local reduction. Retain 17 files at 96fab0a2acb761e7f8ab0f94aeb5138f200a345b; distinguish simulator semantics from native numerical evidence and stop at HCOMM/ACL boundaries.
  • Discovery: add hardware source inventory and cross-owner navigation, update both matrices, and refresh existing catalog/coverage. Preserve imported/mirrored/supplied-pack lineage, unknown licenses/dates, 77 stable registered IDs, 124 skill documents, and all 22 hardware candidate/not_run states.

Canonical source revision: f05ab7b583c66a9c34cb9f9e8a2c15b2ccfc0db3. All 77 generated abstracts point to that reachable commit; 74 change only source revision/URL, and three change substantive content. The coverage view changes the three target owners and its digest. No runtime, registry schema or directory migration is included.

Checks and dependencies

  • ruff check src tests tools: passed.
  • Focused library/reader/catalog/index/coverage/contract/CLI/smoke/claim suite at 7b292c1: 124 passed, 1 coverage-digest failure, 2 subtests passed. The failure exposed two author-worktree CRLF inputs differing from committed LF bytes. Commit 205b2f6 changes only the derived coverage digest; all 17 coverage tests then passed on the current head.
  • Both generators' --check: passed. git diff --check: passed.
  • Independent source identity/range checks and navigation checks: 22 owners, 61 evidence paths; retained source blobs/digests and source-boundary claims reviewed. Revision-scoped independent review is recorded separately.
  • Built a noneditable wheel from the committed 7b292c1 archive and installed it in a fresh environment outside the checkout: all 22 hardware bundles read, 18 modified-owner reference declarations resolved, and all 720 packaged JSON/Markdown files matched source bytes. The final one-line documentation-only correction does not change any package input.
  • Assessed current main b3549ce1aea1556f76de1d2e14a4240474947b6b: its change since implementation base dabd184 is limited to local SkillEval frozen-input newline handling and its test, outside this change and its checked consumers.

CUDA/NPU execution, upstream stub/simulator/native tests, numerical quality, performance, service behavior and agent efficacy were not run. Source pins do not prove a compatible combined stack. Native NCCL, broad kernel dispatch, workload-dependent UCX and AMD/ROCm remain explicit follow-up gaps.

Knowledge authorship declaration

{
  "schema_version": 1,
  "head_sha": "205b2f6ed9e61278ab69187ea65466e350888287",
  "human_only": false,
  "material_ai_authors": [
    {
      "tool": "Codex (host_memory_author: host memory, TorchAir, integration and generation)",
      "model_id": "gpt-6-astra",
      "effort": "max",
      "role": "author"
    },
    {
      "tool": "Codex (hccl_source_author)",
      "model_id": "gpt-6-astra",
      "effort": "max",
      "role": "author"
    },
    {
      "tool": "Codex (hardware_inventory_author)",
      "model_id": "gpt-6-astra",
      "effort": "max",
      "role": "author"
    }
  ]
}

Remaining work and Issue closure

This PR proposes the bounded knowledge-maintenance delivery for review. Target-device validation is a separate activity; no candidate promotion, campaign PASS, merge or Issue closure is claimed. The requesting human retains acceptance and closure authority.

Replace unsafe cross-stream and buffer-reuse examples with separate ordering, host mutation and device allocator lifetime contracts. Retain bounded PyTorch and CPython readsets, source notices and unverified hardware recipes.

Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.com>
Correct configuration ownership and separate the registered backend documentation from the selected TorchAir implementation. Retain a bounded immutable readset for graph keys, persistent eager fallback, input staging and output lifetime, with native validation explicitly unrun.

Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.com>
Map the existing hardware owners to their retained source channels, inspection scopes, identities and limitations. Preserve candidate states and distinguish historical imports from direct implementation readsets.

Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.com>
Trace a selected multi-rank AICPU mesh AllReduce through selection, scratch-bounded orchestration, peer transfers and reduction. Retain pinned source identities and simulated-test boundaries without claiming native execution or gains.

Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.com>
Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.com>
Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.com>
Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.com>
Agent-assisted-by: Codex / gpt-6-astra [effort=max] (author)
Signed-off-by: David Chen <530634352@qq.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 2026-10-30T03:26:57.108029Z 205b2f6 PR opened
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Skill evaluation

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"}

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: 105. 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 1795922719 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: c288dabd1046be8454ad935587f5552384a84846e25ae8cb4a7de7c5d8f901d4
Base: b3549ce1aea1556f76de1d2e14a4240474947b6b · Head: 205b2f6ed9e61278ab69187ea65466e350888287
Trusted implementation: b3549ce1aea1556f76de1d2e14a4240474947b6b

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

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 (105)
  • 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/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/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"
  • uncovered: "src/inferrsi/data/skill_library/README.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/README.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-LICENSE.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-allreduce-readset.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-allreduce.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/legacy-source-notes.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-LICENSE.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-graph-path.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-graph-readset.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/cpython-PSF-LICENSE.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/cpython-free-threading-readset.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/legacy-source-notes.md"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/pytorch-LICENSE.md"
    Additional paths omitted; see retained evidence.

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Collaborator Author

Independent content review by the coordinating Codex reviewer (separate from the three material author agents; no protected-content edits by this reviewer).

Reviewed head: 205b2f6ed9e61278ab69187ea65466e350888287
Assessed base: b3549ce1aea1556f76de1d2e14a4240474947b6b
Recommendation: no remaining actionable findings for the bounded knowledge-maintenance scope in #260. This is a content-review recommendation, not merge authority, goal acceptance or hardware qualification.

Reviewed the host slice at 74611dc, TorchAir at 9f5d732, HCCL at original slice affdec8 (integrated as 8dbf30d), inventory and final matrix/source changes through f05ab7b, generated projections at 7b292c1, and the one-line digest correction at the current head.

Checks covered source channel/depth and retained unknowns; immutable file identities/ranges and license attribution; asynchronous copy/consumer/buffer lifetime guidance; TorchAir configuration, persistent fallback, staging and output aliases; HCCL selection, scratch/chunking, peer synchronization, local reduction and simulator boundaries; cross-owner navigation; stable IDs/state; and derived-content scope.

Two integration concerns were resolved before publication: a shared matrix row could grant an unrelated KV-tier skill an extra stage, and author-worktree CRLF bytes caused a coverage digest inconsistent with the committed LF source. The row was separated by responsibility, and the digest was regenerated from committed bytes. The final delta contains no source or package-input change after the wheel validation.

The original 125-test selection produced 124 passes and the digest failure; all 17 affected coverage tests passed after correction. Ruff, index/coverage freshness, source/navigation checks and the isolated noneditable-wheel checks described in the PR passed. The unchanged checked consumers support reuse across main's unrelated local SkillEval newline fix.

Residual limits: source definitions were inspected, not executed on CUDA/NPU; no native/simulator numerical, transport, performance, model or service result is claimed. Candidate/not_run states and later NCCL/dispatch/UCX/ROCm gaps remain explicit.

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