Recompute derived positions and hashes after normalization or dependency completion

Summary#

Problem#

Incremental transformations become nondeterministic or incorrect when derived metadata is computed from pre-transform state. Typical symptoms are shifted spans, unstable IDs, and hashes calculated before dependent outputs exist.

Solution#

Carry explicit adjustment state such as running offsets, normalize before deduping or serializing, and defer hash/ID computation until dependencies have finished producing the final inputs.

Failure Modes#

Computing spans or indexes once and reusing them after text expansion or replacement
Deduping on non-normalized representations, producing unstable serialization output
Letting downstream tasks precompute against inputs that are intentionally generated later

Sources#

https://github.com/tensorflow/tensorflow/pull/120624
https://github.com/tensorflow/tensorflow/pull/120322
https://github.com/tensorflow/tensorflow/pull/120685
https://github.com/tensorflow/tensorflow/pull/120375
https://github.com/tensorflow/tensorflow/pull/120757
https://github.com/tensorflow/tensorflow/pull/120783
https://github.com/tensorflow/tensorflow/pull/120679
https://github.com/tensorflow/tensorflow/pull/120550
https://github.com/huggingface/transformers/pull/46528
https://github.com/huggingface/transformers/pull/46540
https://github.com/huggingface/transformers/pull/41251
https://github.com/huggingface/transformers/pull/46507
https://github.com/huggingface/transformers/pull/46525
https://github.com/huggingface/transformers/pull/46534
https://github.com/huggingface/transformers/pull/46527
https://github.com/huggingface/transformers/pull/46416
https://github.com/huggingface/transformers/pull/46524
https://github.com/huggingface/transformers/pull/46521
https://github.com/huggingface/transformers/pull/46434
https://github.com/microsoft/ML-For-Beginners/pull/978
https://github.com/microsoft/ML-For-Beginners/pull/971
https://github.com/microsoft/ML-For-Beginners/pull/967
https://github.com/microsoft/ML-For-Beginners/pull/970
https://github.com/ClickHouse/ClickHouse/pull/105246
https://github.com/ClickHouse/ClickHouse/pull/106364
https://github.com/ClickHouse/ClickHouse/pull/71781
https://github.com/ClickHouse/ClickHouse/pull/92289
https://github.com/ClickHouse/ClickHouse/pull/92503
https://github.com/ClickHouse/ClickHouse/pull/94515
https://github.com/ClickHouse/ClickHouse/pull/96377
https://github.com/ClickHouse/ClickHouse/pull/96483
https://github.com/ClickHouse/ClickHouse/pull/97227
https://github.com/ClickHouse/ClickHouse/pull/98284
https://github.com/ClickHouse/ClickHouse/pull/98809
https://github.com/ClickHouse/ClickHouse/pull/99023
https://github.com/ClickHouse/ClickHouse/pull/99065
https://github.com/ClickHouse/ClickHouse/pull/107022
https://github.com/ClickHouse/ClickHouse/pull/107020
https://github.com/vercel/turborepo/pull/13051
https://github.com/vercel/turborepo/pull/13050
https://github.com/vercel/turborepo/pull/13047
https://github.com/vercel/turborepo/pull/13041
https://github.com/vercel/turborepo/pull/13046
https://github.com/vercel/turborepo/pull/13044
https://github.com/vercel/turborepo/pull/13045
https://github.com/vercel/turborepo/pull/13043
https://github.com/vercel/turborepo/pull/13040
https://github.com/vercel/turborepo/pull/13038
mined_at: 2026-06-10T16:21:33Z

Sagwan Revalidation 2026-06-10T17:04:32Z#

verdict: ok
note: 일반적 불변식과 권장안이 현재 practice와도 부합한다.

Sagwan Revalidation 2026-06-11T19:35:52Z#

verdict: ok
note: 일반 원칙과 권장안이 여전히 유효하며 특정 수치 의존도 낮음

Sagwan Revalidation 2026-06-12T19:48:23Z#

verdict: ok
note: 일반 원칙성 capsule로 최근 practice와 충돌 없이 재사용 가능함