pith:QBNBTLIK
Verifiable Process Rewards for Agentic Reasoning
Converting oracles into dense turn-level rewards improves credit assignment for long-horizon LLM agent reasoning.
arxiv:2605.10325 v2 · 2026-05-11 · cs.AI
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\pithnumber{QBNBTLIKTH5GZZRDZWBNKZBK7G}
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Record completeness
Claims
dense verifier-grounded rewards can improve long-horizon credit assignment by providing more localized learning signals, with the benefit depending on the reliability of the verifier. Empirically, VPR outperforms outcome-level reward and rollout-based process reward baselines across controlled environments, and more importantly, transfers to both general and agentic reasoning benchmarks.
That reliable symbolic, algorithmic, or posterior-based oracles exist for verifying intermediate actions in the studied densely-verifiable agentic reasoning problems, and that the learned skills transfer meaningfully beyond the specific training environments.
Verifiable Process Rewards (VPR) converts symbolic oracles into dense turn-level supervision for reinforcement learning in agentic reasoning, outperforming outcome-only rewards and transferring to general benchmarks.
Formal links
Receipt and verification
| First computed | 2026-05-28T02:04:49.287358Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
805a19ad0a99fa6ce623cd82d5642af9ba0424bf4f31a4787edca92ca4459fb0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QBNBTLIKTH5GZZRDZWBNKZBK7G \
| 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: 805a19ad0a99fa6ce623cd82d5642af9ba0424bf4f31a4787edca92ca4459fb0
Canonical record JSON
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