pith:RXMOX2BK
Design Conditions for Intra-Group Learning of Sequence-Level Rewards: Token Gradient Cancellation
Intra-group objectives for sequence rewards must preserve gradient exchangeability across tokens to enable cancellation on weak-credit high-frequency tokens and block reward-irrelevant drift.
arxiv:2604.13088 v2 · 2026-04-04 · cs.LG · cs.AI
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Claims
to prevent reward-irrelevant drift, intra-group objectives must maintain gradient exchangeability across token updates, enabling gradient cancellation on weak-credit/high-frequency tokens.
That the observed training failures (learning tax, solution probability drift, entropy collapse) are primarily caused by disruption of token-level gradient exchangeability rather than other factors such as reward sparsity itself or optimizer dynamics.
Intra-group objectives in sparse-reward RL must maintain token gradient exchangeability to enable cancellation on weak-credit tokens and stabilize training.
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Receipt and verification
| First computed | 2026-05-26T01:02:34.140627Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8dd8ebe82a30d64f41a07cb8a1a532380dc2694bcd29f380244ef81f424422b5
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/RXMOX2BKGDLE6QNAPS4KDJJSHA \
| 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())"
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Canonical record JSON
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