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Replace coming-soon pcloss stub with live HF link

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  1. README.md +9 -7
README.md CHANGED
@@ -58,8 +58,10 @@ artifacts:
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  - **Code:** [`mirrorethic/t3-reference`](https://github.com/mirrorethic/t3-reference) (Apache-2.0)
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  - **Trace library + benchmarks:** <https://t3atlas.dev>
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- - **Sibling checkpoint:** `mirrorethic/t3-124m-v36-pcloss` *(coming soon)* — same
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- weights but trained with the inter-stage predictive-coding loss un-detached.
 
 
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  ## Quick start
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@@ -171,11 +173,11 @@ compute per token (S1 averages 2.7–3.7 ponder loops on these tasks).
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  - Trained without grade-3 trivector terms (the static bivector Ω is the
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  full Cl(3,3) rotation in this checkpoint). The state-dependent variant
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  is a planned v3.7 Medium-scale follow-up.
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- - The `v36_pcloss` sibling at <https://huggingface.co/mirrorethic/t3-124m-v36-pcloss>
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- *(when uploaded)* is the same architecture trained with the inter-stage
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- predictive-coding loss un-detached. Slightly worse PPL (28.53), neutral
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- on reasoning — the K-predictor learning a real cross-stage map (r=0.59)
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- doesn't translate into downstream gains at this scale.
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  ## Capabilities probe
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  - **Code:** [`mirrorethic/t3-reference`](https://github.com/mirrorethic/t3-reference) (Apache-2.0)
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  - **Trace library + benchmarks:** <https://t3atlas.dev>
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+ - **Sibling checkpoint:** [`mirrorethic/t3-124m-v36-pcloss`](https://huggingface.co/mirrorethic/t3-124m-v36-pcloss) — same
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+ architecture, trained with the inter-stage predictive-coding loss un-detached.
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+ Slightly worse PPL (28.53 vs 27.76), neutral on reasoning. Use the pair for
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+ the controlled inter-stage-PC ablation.
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  ## Quick start
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  - Trained without grade-3 trivector terms (the static bivector Ω is the
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  full Cl(3,3) rotation in this checkpoint). The state-dependent variant
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  is a planned v3.7 Medium-scale follow-up.
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+ - The [`v36-pcloss` sibling](https://huggingface.co/mirrorethic/t3-124m-v36-pcloss)
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+ is the same architecture trained with the inter-stage predictive-coding
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+ loss un-detached. Slightly worse PPL (28.53), neutral on reasoning — the
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+ K-predictor learning a real cross-stage map (r=0.59) doesn't translate
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+ into downstream gains at this scale.
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  ## Capabilities probe
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