Pith Number
pith:4PQNC5FG
pith:2024:4PQNC5FGVRGUT2IBNLIZ6NEO2S
not attested
not anchored
not stored
refs pending
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
arxiv:2411.02542 v1 · 2024-11-04 · cs.LG · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4PQNC5FGVRGUT2IBNLIZ6NEO2S}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:31:13.612862Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3e0d174a6ac4d49e9016ad19f348ed4a0601b1e045fb1d9ddd919c0c2f3b578
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4PQNC5FGVRGUT2IBNLIZ6NEO2S \
| 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: e3e0d174a6ac4d49e9016ad19f348ed4a0601b1e045fb1d9ddd919c0c2f3b578
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b63928cfec424f44f3b017859984bf6b86f5074425bffd6c63f4352e006b1457",
"cross_cats_sorted": [
"cs.SI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-04T19:22:33Z",
"title_canon_sha256": "ddb2eae21ad3eb94d62f3b1e39858a577fef886368dc72467a548ce46aaa1ba8"
},
"schema_version": "1.0",
"source": {
"id": "2411.02542",
"kind": "arxiv",
"version": 1
}
}