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erratum: G2 is consistency evidence, not a front-end check (README.md)

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@@ -140,12 +140,16 @@ of any endpoint. The archived timestamps record the sequence; they cannot prove
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  ## Independent evaluation and replication
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- - **Second implementation (`G2`).** `independent_eval.py` reimplements decoding,
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- resampling, clip identity, the audio front end and the ranking, then runs the same
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- pinned weights. At batch 1 it agrees with the canonical results on 100% of R@1 hit/miss
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- outcomes in all eight checkpoint and direction comparisons. It still shares the
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- checkpoint's tokenizer and filterbank coefficients, since matching the weights requires
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- them; everything downstream of those is separate.
 
 
 
 
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  - **Metric parity.** `gate2.py` recomputes every shipped embedding dump two ways and finds
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  0.0e+00 difference across the four canonical cells, two of which exercise multi-positive
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  average precision.
 
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  ## Independent evaluation and replication
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+ - **Second implementation (`G2`), with an important limit.** `independent_eval.py`
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+ reimplements decoding, resampling, clip identity, the audio front end and the ranking,
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+ then runs the same pinned weights. At batch 1 it agrees with the canonical results on
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+ 100% of R@1 hit/miss outcomes in all eight comparisons. That agreement is evidence of
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+ internal consistency, not an independent check of the front end: the second
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+ implementation sets `is_longer=True` the same way the processor does (see the
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+ correction at the top), so it reproduced the same branch routing and could not have
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+ detected the defect. It also shares the checkpoint's tokenizer and filterbank
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+ coefficients. Read it as "the scoring pipeline is reproducible end to end", not as
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+ "the preprocessing is right".
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  - **Metric parity.** `gate2.py` recomputes every shipped embedding dump two ways and finds
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  0.0e+00 difference across the four canonical cells, two of which exercise multi-positive
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  average precision.