Card: remove unverified prior-art characterization; legal name; archived notice
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README.md
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# CIS-2 — conformance vectors for bit-identical fp32 transformer inference
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Floating-point transformer inference is usually treated as unavoidably
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Reproducible and deterministic inference is prior-occupied ground. Gensyn's
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`repops` demonstrates a hash-matched CPU/CUDA fp32 forward pass; Microsoft's
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RepDL provides reproducible linear-algebra operators with CPU and CUDA backends;
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vLLM and SGLang both ship batch-invariant determinism modes
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tables. **No "first" and no "only" claim is made here**, and none should be
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inferred.
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The narrower thing CIS-2 is testing is whether a *written document* can carry
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> Status (2026-10-17): CIS-2 development is paused and archived at https://github.com/Aefinity-AI/cis2-lab-archive. AEFINITY AI INC.'s current work is A.L.I.C.E. bare-metal inference with CIS-1 receipts: https://aefinityai.com
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# CIS-2 — conformance vectors for bit-identical fp32 transformer inference
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Floating-point transformer inference is usually treated as unavoidably
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Reproducible and deterministic inference is prior-occupied ground. Gensyn's
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`repops` demonstrates a hash-matched CPU/CUDA fp32 forward pass; Microsoft's
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RepDL provides reproducible linear-algebra operators with CPU and CUDA backends;
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vLLM and SGLang both ship batch-invariant determinism modes.
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**No "first" and no "only" claim is made here**, and none should be
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inferred.
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The narrower thing CIS-2 is testing is whether a *written document* can carry
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AEFINITY AI INC. · Justin Brian Thompson
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