Pith. sign in
Pith Number

pith:WW7ZBHOJ

pith:2023:WW7ZBHOJ52CY6Y5HKQYFA5CEUV
not attested not anchored not stored refs pending

Control Risk for Potential Misuse of Artificial Intelligence in Science

Jie Zhang, Jingwei Yi, Jiyan He, Kejiang Chen, Kunsheng Tang, Nenghai Yu, Shuai Li, Shuxin Zheng, Weiming Zhang, Weitao Feng, Wenbo Zhou, Xing Xie, Yaosen Min

arxiv:2312.06632 v1 · 2023-12-11 · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WW7ZBHOJ52CY6Y5HKQYFA5CEUV}

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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T07:22:48.063903Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b5bf909dc9ee858f63a75430507444a56660bc01df217ff3d8bb9584b324da55

Aliases

arxiv: 2312.06632 · arxiv_version: 2312.06632v1 · doi: 10.48550/arxiv.2312.06632 · pith_short_12: WW7ZBHOJ52CY · pith_short_16: WW7ZBHOJ52CY6Y5H · pith_short_8: WW7ZBHOJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WW7ZBHOJ52CY6Y5HKQYFA5CEUV \
  | 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: b5bf909dc9ee858f63a75430507444a56660bc01df217ff3d8bb9584b324da55
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7617db229582e3236f5d36f07a37e023e219ce6ce7c63b3ac261a2bf74166893",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-12-11T18:50:57Z",
    "title_canon_sha256": "7557a10d07a7494fa50da81ad6326fa8a457f79115df007d674f7213c7630c78"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.06632",
    "kind": "arxiv",
    "version": 1
  }
}