pith. sign in
Pith Number

pith:6ITHSQS7

pith:2024:6ITHSQS7CKUWAENL73W73MIERU
not attested not anchored not stored refs pending

Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

Bo Wang, Qinyuan Cheng, Qipeng Guo, Shimin Li, Xipeng Qiu, Xuanjing Huang, Yunhua Zhou, Zhangyue Yin, Zhiyuan Zeng

arxiv:2412.14135 v1 · 2024-12-18 · cs.AI · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6ITHSQS7CKUWAENL73W73MIERU}

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

7 papers in Pith

Receipt and verification
First computed 2026-07-05T09:51:14.124606Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f22679425f12a96011abfeedfdb1048d1b0ea7862a74e5b6fc11076ad6997aa3

Aliases

arxiv: 2412.14135 · arxiv_version: 2412.14135v1 · doi: 10.48550/arxiv.2412.14135 · pith_short_12: 6ITHSQS7CKUW · pith_short_16: 6ITHSQS7CKUWAENL · pith_short_8: 6ITHSQS7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6ITHSQS7CKUWAENL73W73MIERU \
  | 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: f22679425f12a96011abfeedfdb1048d1b0ea7862a74e5b6fc11076ad6997aa3
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "bb57e7a6b32bfafeffd3e5f08ac491e7709c533d52078abddf99c2db76b125e4",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2024-12-18T18:24:47Z",
    "title_canon_sha256": "7e2e56da829f34f1265e87974b4f6b4927a678d9af4d9e13bb036b33d1244b7e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.14135",
    "kind": "arxiv",
    "version": 1
  }
}