The last audit stress test. A cheap draft model proposes K tokens, the target verifies
them in one batched step, and SpeculativeARLoop accepts the matching prefix + one target
correction — a variable accepted-length per round (a ragged AR loop the model owns).
- Exactness: the emitted sequence equals the target's OWN greedy decode for any draft
quality (every accepted token is one the target would produce; the correction is the
target's token) — the speedup is free.
- Speedup scales with accept rate: draft-agree 0.3→1x, 0.7→3x, 1.0→4x=K tokens/round
(fewer verify_rounds, the expensive model's latency steps, for the same output).
- Two components (draft + target) co-scheduled on one resident instance; each round an
AR_TOKEN WorkUnit.
models/speculative/ (loop+card+program); backend ToyTargetModel/ToyDraftModel with a
shared length-dependent target formula (no degenerate fixed point). 5 tests; full suite
153 passed. designv4 §9.16 + counts (153 tests, 26 files).
SolitaryThinker
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