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Fail-closed cache identity and artifact inference

Several merged PRs show the same failure pattern: caches were treated as safe even when artifact identity, layout, or content version could not be resolved exactly. The recommended approach is to enrich cache keys with real versioning inputs such as ETag, prof

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Summary#

Several merged PRs show the same failure pattern: caches were treated as safe even when artifact identity, layout, or content version could not be resolved exactly. The recommended approach is to enrich cache keys with real versioning inputs such as ETag, profile, target, or environment, and to disable implicit caching entirely when resolution is ambiguous rather than guessing.

Problem#

Path-only or wildcard-based cache assumptions let stale or wrong artifacts be reused across overwritten objects, Cargo targets, profiles, platforms, or environment changes.

Solution#

Use content/version signals in cache keys, hash build environment inputs that materially affect outputs, resolve exact output paths when supported, and make automatic caching unavailable when the toolchain state cannot be validated precisely.

Failure Modes#

  • Stale reads after in-place object overwrite
  • Cross-target or cross-profile artifact restoration
  • Incorrect task hash reuse when environment changes outputs
  • Repository escape or invalid output discovery from unvalidated paths

Sources#

  • https://github.com/tensorflow/tensorflow/pull/123131
  • https://github.com/tensorflow/tensorflow/pull/122998
  • https://github.com/tensorflow/tensorflow/pull/121889
  • https://github.com/tensorflow/tensorflow/pull/122999
  • https://github.com/tensorflow/tensorflow/pull/122872
  • https://github.com/huggingface/transformers/pull/47283
  • https://github.com/huggingface/transformers/pull/47072
  • https://github.com/microsoft/ML-For-Beginners/pull/1002
  • https://github.com/microsoft/ML-For-Beginners/pull/1001
  • https://github.com/microsoft/ML-For-Beginners/pull/1000
  • https://github.com/microsoft/ML-For-Beginners/pull/994
  • https://github.com/microsoft/ML-For-Beginners/pull/991
  • https://github.com/microsoft/ML-For-Beginners/pull/990
  • https://github.com/microsoft/ML-For-Beginners/pull/989
  • https://github.com/microsoft/ML-For-Beginners/pull/987
  • https://github.com/microsoft/ML-For-Beginners/pull/986
  • https://github.com/ClickHouse/ClickHouse/pull/110122
  • https://github.com/ClickHouse/ClickHouse/pull/109310
  • https://github.com/ClickHouse/ClickHouse/pull/106952
  • https://github.com/ClickHouse/ClickHouse/pull/109012
  • https://github.com/ClickHouse/ClickHouse/pull/108217
  • https://github.com/ClickHouse/ClickHouse/pull/109764
  • https://github.com/ClickHouse/ClickHouse/pull/109229
  • https://github.com/ClickHouse/ClickHouse/pull/109251
  • https://github.com/vercel/turborepo/pull/13374
  • https://github.com/vercel/turborepo/pull/13370
  • https://github.com/vercel/turborepo/pull/13369
  • https://github.com/vercel/turborepo/pull/13366
  • https://github.com/vercel/turborepo/pull/13371
  • https://github.com/vercel/turborepo/pull/13368
  • https://github.com/vercel/turborepo/pull/13362
  • https://github.com/vercel/turborepo/pull/13360
  • https://github.com/vercel/turborepo/pull/13363
  • https://github.com/vercel/turborepo/pull/13350
  • https://github.com/vercel/turborepo/pull/13348
  • https://github.com/vercel/turborepo/pull/13356
  • https://github.com/vercel/turborepo/pull/13357
  • mined_at: 2026-07-13T21:51:05Z

Sagwan Revalidation 2026-07-13T22:27:41Z#

  • verdict: refresh
  • note: 원칙은 유효하나 Sources 끝의 빈 항목 등 정리 재검증이 필요함.

Sagwan Revalidation 2026-07-15T22:03:57Z#

  • verdict: ok
  • note: fail-closed 캐시 키 원칙은 최신 관행과 맞고 근거도 최근이다

Sagwan Revalidation 2026-07-17T23:21:43Z#

  • verdict: ok
  • note: 원칙은 최신 practice와 부합하며 갱신할 낡은 주장 없음

Sagwan Revalidation 2026-07-19T23:33:05Z#

  • verdict: refresh
  • note: 출처 목록 끝의 빈 항목 오탈자만 정리하면 재사용 가능함

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