pith:7RRY4RV6
CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning
A Coach generates tasks and rewards a Player for solving them, improving LLM math reasoning without any external data.
arxiv:2602.02979 v2 · 2026-02-03 · cs.CL
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\pithnumber{7RRY4RV6SZSYNNXPVF7OME6JLA}
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Claims
CPMobius achieves substantial improvement without relying on any external training data, outperforming existing unsupervised approaches. For example, on Qwen2.5-Math-7B-Instruct, our method improves accuracy by an overall average of +4.9 and an out-of-distribution average of +5.4.
The cooperative optimization loop between Coach and Player directly enhances the Player's mathematical reasoning ability without external data or labels.
CPMobius uses iterative coach-player reinforcement learning to improve mathematical reasoning in LLMs without external training data, yielding +4.9 average accuracy gains on Qwen2.5-Math-7B-Instruct.
Formal links
Receipt and verification
| First computed | 2026-05-18T02:45:05.536378Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fc638e46be966586b6efa97ee613c958354bcdc76130b7ca3b67fd1b586cf3a0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7RRY4RV6SZSYNNXPVF7OME6JLA \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fc638e46be966586b6efa97ee613c958354bcdc76130b7ca3b67fd1b586cf3a0
Canonical record JSON
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