Pith. sign in
Pith Number

pith:3IZOUWCO

pith:2026:3IZOUWCOH56UNY56EWZPMJU3YK
not attested not anchored not stored refs pending

Policy Improvement Reinforcement Learning

Deqing Wang, Haoyi Zhou, Huaiyang Wang, Jianxin Li, Xiaojie Li, Yaodong Yang, Yikun Ban, Zixuan Huang

Reinforcement learning for language models can be made self-correcting by directly maximizing cumulative verified policy improvement across iterations.

arxiv:2604.00860 v3 · 2026-04-01 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3IZOUWCOH56UNY56EWZPMJU3YK}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

we prove this temporal objective is perfectly aligned with maximizing final task performance... PIPO performs ascent on the PIRL objective in expectation

C2weakest assumption

that retrospective verification against a sliding-window historical baseline can reliably identify genuine policy improvement without bias from window size, data distribution, or the specific choice of baseline statistics

C3one line summary

PIRL maximizes cumulative policy improvement across iterations instead of surrogate rewards and is proven aligned with final performance; PIPO implements it via retrospective verification for stable closed-loop optimization.

Receipt and verification
First computed 2026-06-04T01:08:49.541977Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

da32ea584e3f7d46e3be25b2f6269bc2b9b5a1e5d49c2155e2d81a4205ba76e0

Aliases

arxiv: 2604.00860 · arxiv_version: 2604.00860v3 · doi: 10.48550/arxiv.2604.00860 · pith_short_12: 3IZOUWCOH56U · pith_short_16: 3IZOUWCOH56UNY56 · pith_short_8: 3IZOUWCO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IZOUWCOH56UNY56EWZPMJU3YK \
  | 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: da32ea584e3f7d46e3be25b2f6269bc2b9b5a1e5d49c2155e2d81a4205ba76e0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e194dd37954f066a527aa0552404fb06e8bff06f7413b85038d88a665ebf4ae0",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-01T13:10:20Z",
    "title_canon_sha256": "a2cd9e386953538d7261dc287c6ed1c4837d2d55f57212d33b2075867aa6df06"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.00860",
    "kind": "arxiv",
    "version": 3
  }
}