wai: ingest the determinism-tier spectrum (entropy-consistency vs decode-equivalence) #52

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A SOTA ingest: names the two reproducibility guarantees a neural capability can make. JPEG AI's normative conformance point is the entropy-decoder output, and the mainstream cross-platform fix (explicit parameter transmission) also guarantees only the entropy stage — that is entropy-consistency. WAI adds decode-equivalence (the whole decode to pixels reproduces, a portable rendered hash, the precondition for a hard reconstruction binding). New extensions/determinism-tiers.md, referenced from SPEC §7 and cross-linked from the reconstruction-binding extension. Docs only; self-referential framing.

Co-Authored-By: Claude Opus 4.8 noreply@anthropic.com

A SOTA ingest: names the two reproducibility guarantees a neural capability can make. JPEG AI's normative conformance point is the entropy-decoder output, and the mainstream cross-platform fix (explicit parameter transmission) also guarantees only the entropy stage — that is **entropy-consistency**. WAI adds **decode-equivalence** (the whole decode to pixels reproduces, a portable rendered hash, the precondition for a hard reconstruction binding). New extensions/determinism-tiers.md, referenced from SPEC §7 and cross-linked from the reconstruction-binding extension. Docs only; self-referential framing. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
wai: ingest the determinism-tier spectrum for neural decode
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The SOTA sweep surfaced two facts that line up: JPEG AI's normative conformance
point is the entropy-decoder output (not pixels), and the mainstream learned-codec
cross-platform fix is explicit parameter transmission — both guarantee a
reproducible ENTROPY stage while leaving reconstruction implementation-defined.
That is a real, named guarantee the field converges on; WAI supports it AND a
stronger one, but the standard didn't name the spectrum.

New extensions/determinism-tiers.md names it:
- entropy-consistency — the entropy decode reproduces across devices (integer
  entropy arithmetic or explicit parameter transmission); the base learned-codec
  floor and the minimum for a sound neural replicate.
- decode-equivalence — the whole decode to the final medium reproduces, so the
  rendered result has a portable hash; the tier WAI adds on top, and the
  precondition for a hard reconstruction binding over decoded pixels.

A capability satisfying decode-equivalence satisfies entropy-consistency by
construction; the reverse doesn't hold. Referenced from SPEC §7 (Replicate-
soundness) — the ReplicateClass values already span these tiers, this names them —
and cross-linked from the reconstruction-binding extension (which requires
decode-equivalence). Changelog entry added. Framed self-referentially: WAI spans
the spectrum, entropy-consistency is the field's floor, decode-equivalence is the
addition — no comparisons.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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