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Retitle: lead with method + separate working frozen heads from collapsed CD4-native negative

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  - state-model
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  ---
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- # RefineRx — CD4-native STATE transition model with fused adaptive-depth halting
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-
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- RefineRx is a perturbation-response model built on the ARC **STATE** transition
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- architecture, extended with a **fused adaptive-depth halting** mechanism
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- (learned, per-perturbation refinement depth). This repository ships:
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-
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- - the **CD4-native** transition + fused-halting checkpoints (trained from scratch
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- on CD4+ T-cell pseudobulk), and
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- - four **oracle-ACT halt heads** trained on frozen Replogle cell-line STATE
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- embedding (ST-SE) backbones.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  **Paper:** *When Does a Perturbation Model Know Enough? Learned Halting as a
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  Biological Model Readout* (Yash Raj).
 
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  - state-model
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  ---
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+ # RefineRx — adaptive-depth halting as a per-perturbation signature on STATE
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+
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+ RefineRx adds a **learned, per-perturbation adaptive-depth halting** mechanism to
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+ the ARC **STATE** perturbation-response architecture, and asks whether the
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+ resulting halting depth E[N] is a reproducible, effect-size-independent signature.
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+ This repository ships both the **positive** and the **negative** result of that
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+ question:
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+
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+ - **✅ Positive (the working artifacts): four `oracle-ACT` halt heads** on **frozen**
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+ Replogle cell-line STATE-embedding (ST-SE) backbones. Read off a fixed,
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+ gradually-refining backbone, these recover a usable per-perturbation depth
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+ signature (reproducible within-line, effect-independent, non-redundant with
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+ network topology).
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+ - **⚠️ Negative (documented, for the record): CD4-native fused-halting checkpoints**
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+ trained from scratch on CD4+ T-cell **pseudobulk**. The response head fits, but
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+ the halting depth **collapses to a constant** on this pseudobulk substrate — see
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+ the key result below. These checkpoints are shipped as the reproducible negative,
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+ not as a recommended depth model.
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+
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+ > **Naming note.** "CD4-native" refers only to the from-scratch pseudobulk
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+ > checkpoints in `checkpoints/`; it is the *collapsed* model. The usable
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+ > depth signal in this repo comes from the frozen-backbone halt heads in
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+ > `halt_heads/`.
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  **Paper:** *When Does a Perturbation Model Know Enough? Learned Halting as a
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  Biological Model Readout* (Yash Raj).