docs(research): TM learning tracks + note that the TM-DEB source was deleted
tm-learning-tracks.md covers three things, all marked [FACT]/[INFERENCE]/ [UNKNOWN]: - Section A: the Tsetlin gun's label is measured against the wrong baseline. predX = linearX + cx, so rx = actual - predX = delta - cx, and inside tmLearnOne error = residual - predicted = (delta - cx) - cx = delta - 2cx. The fixed point is cx = delta/2 -- HALF the correction needed, even with perfect Granmo feedback. Fix: store linearX/linearY in TmTrace and train on delta. Also: hits zero the label instead of carrying their true residual, and the per-clause step is magnitude-blind. - Section B: what a TM is actually good at (AND-clauses over binary literals, readable output) and why this repo suits it -- the gun already builds an 83-bit x 10-frame Gray-coded window (870 bits). Includes a falsifiable known-rule benchmark proposal. - Section C: delayed-reward learning belongs to the MOVEMENT layer, not the gun. The gun's outcome is delayed but exactly pairable via (fireTick, powerBin), so its effective lambda is 1 and discounting would only destroy information. Also records that docs/papers/tm-deb-paper.pdf was deleted by the user as AI-generated and unverifiable, while the Granmo-based feedback diff in tm-deb-assessment.md stands on its own.
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# TM-DEB Paper Assessment — Adopt as a fix for the Tsetlin gun?
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> **Editorial note — source document deleted.** The paper this file reviews,
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> `docs/papers/tm-deb-paper.pdf`, was **deleted by the user** on the grounds that
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> it is AI-generated and unverifiable (the concrete evidence is catalogued in §2:
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> self-identifying "Generated by Gemini Notebook" provenance, a misattributed
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> reference, an algorithm core rendered as literal `%`, and "Expected" rather
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> than measured results). This assessment file is **kept** because its actionable
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> content — the Granmo Table 2/3 feedback diff (§6) and the prioritised fix list
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> (§6.5) — stands on its own from the *verified* sources
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> (`docs/papers/1804.01508v15.pdf` and `common_libs/guns/tsetlin.nim`) and does
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> not depend on the deleted document. Citations to the deleted PDF are retained
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> only as the record of the review that was performed.
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**Issue:** N/A (read-only review requested by orchestrator)
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**Date:** 2026-09-20
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**Paper under review:** `docs/papers/tm-deb-paper.pdf` — "Temporal Credit Assignment in Tsetlin Machines via Discounted Eligibility Experience Buffers (TM-DEB)"
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