pith. sign in
Pith Number

pith:VAY3II32

pith:2025:VAY3II32HR4PEHG7EVJW6UUGF6
not attested not anchored not stored refs pending

AI-Driven Prediction of Cancer Pain Episodes: A Hybrid Decision Support Approach

Kunzhong Zhou, Li Zhuang, Philip Leung-Ho Yu, Tingting Song, Weifang Wang, Yifeng Guo, Yipeng Zhuang, Yuewen Li, Yuheng Wu, Zhiyong Wang

arxiv:2512.16739 v2 · 2025-12-18 · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VAY3II32HR4PEHG7EVJW6UUGF6}

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.
Receipt and verification
First computed 2026-05-22T01:03:52.548206Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a831b4237a3c78f21cdf25536f52862fa6d05fdbc8d402e45b24a7496f822d4c

Aliases

arxiv: 2512.16739 · arxiv_version: 2512.16739v2 · doi: 10.48550/arxiv.2512.16739 · pith_short_12: VAY3II32HR4P · pith_short_16: VAY3II32HR4PEHG7 · pith_short_8: VAY3II32
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VAY3II32HR4PEHG7EVJW6UUGF6 \
  | 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: a831b4237a3c78f21cdf25536f52862fa6d05fdbc8d402e45b24a7496f822d4c
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "92655565652f45ddbfff603860182951ad591987c828bf830ca14e46d37ea691",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-12-18T16:37:29Z",
    "title_canon_sha256": "f1098363ea1ddc5721c77d5c3005cfec3c2acca8489ce24db96ccdd99e75b5a2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2512.16739",
    "kind": "arxiv",
    "version": 2
  }
}