Pith Number

pith:RJI3Y26B

pith:2025:RJI3Y26BO5QAUFML4PODRBGVS7

not attested not anchored not stored refs pending

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models

Dian Yu, Dong Yu, Haitao Mi, Haolin Liu, Hongtu Zhu, Linfeng Song, Rui Liu, Runpeng Dai, Tong Zheng, Zhaopeng Tu, Zhenwen Liang

arxiv:2509.09675 v1 · 2025-09-11 · cs.CL · cs.AI · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{RJI3Y26BO5QAUFML4PODRBGVS7}

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.

Cited by

10 papers in Pith

ExTra: Exploratory Trajectory Optimization for Language Model Reinforcement Learning

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning

SALT: When More Rollouts Don't Help in Group-Based Policy Optimization and How to Make Them Matter

Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

Epistemic Uncertainty for Test-Time Discovery

Receipt and verification

First computed	2026-07-05T12:09:40.695061Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8a51bc6bc177600a158be3dc3884d597c65b5fedf992d39836596ed7d2ecf0fe

Aliases

arxiv: 2509.09675 · arxiv_version: 2509.09675v1 · doi: 10.48550/arxiv.2509.09675 · pith_short_12: RJI3Y26BO5QA · pith_short_16: RJI3Y26BO5QAUFML · pith_short_8: RJI3Y26B

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RJI3Y26BO5QAUFML4PODRBGVS7 \
  | 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: 8a51bc6bc177600a158be3dc3884d597c65b5fedf992d39836596ed7d2ecf0fe

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3ecb76f0b22d37b88bbf44feb06f33607a2d423cf3145a5eaac095b52a413e96",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-09-11T17:59:17Z",
    "title_canon_sha256": "3b6e46bc8dedb7d95d09e44192df8b049c555ff3f4db6039d0774ad39370f176"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.09675",
    "kind": "arxiv",
    "version": 1
  }
}