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4 changes: 4 additions & 0 deletions docs/CPU_STATE_OPTIMIZER.md
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# Explicit CPU optimizer state

## Trained rank0 derivative readout (October 2, 2026)

[Unfavorable derivative evidence](evidence/native/rank0-derivatives-failed-20261002.md) records one passing comparison out of five. Both HF comparisons and native shared-prefix/full gradient comparisons fail frozen tolerances. This independent derivative failure establishes no CPU-state optimizer arithmetic result; native acceptance remains incomplete.

`cpu_state_streaming_v1` is an experimental, explicitly selected CUDA AdamW
backend. It requires PyTorch `2.10.0+cu128` and trainable CUDA FP32 parameters,
including FP32 parameters used under BF16 autocast. Default and fused optimizer
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4 changes: 4 additions & 0 deletions docs/RELEASE_READINESS.md
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# Release readiness — intentionally incomplete

## Trained rank0 derivative readout (October 2, 2026)

[Unfavorable derivative evidence](evidence/native/rank0-derivatives-failed-20261002.md) records one passing comparison out of five. Both HF comparisons and native shared-prefix/full gradient comparisons fail frozen tolerances. This independent derivative failure establishes no CPU-state optimizer arithmetic result; native acceptance remains incomplete.

## Explicit CPU-state optimizer: partial qualification (September 30, 2026)

The opt-in backend at signed source `b5d8299b768564c09c541e3dfc04b3d28eef2fd6`
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9 changes: 9 additions & 0 deletions docs/acceptance-status.json
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{
"rank0_derivative_failure_2026_10_02": {
"receipt": "docs/evidence/native/rank0-derivatives-failed-20261002.json",
"explanation": "docs/evidence/native/rank0-derivatives-failed-20261002.md",
"status": "completed_numerical_failure",
"passing_comparisons": 1,
"total_comparisons": 5,
"acceptance_claim": false,
"optimizer_arithmetic_claim": false
},
"explicit_CPU_state_optimizer_partial_delivery_2026_09_30": {
"signed_source_commit": "b5d8299b768564c09c541e3dfc04b3d28eef2fd6",
"scope": "partial synthetic tiny-fixture optimizer/trainer delivery; no native/fullweight/context/quality acceptance",
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