Pith Number
pith:EJ5X6B5T
pith:2024:EJ5X6B5TEKIFONUKZ3XYL4N54P
not attested
not anchored
not stored
refs pending
SST-GCN: The Sequential based Spatio-Temporal Graph Convolutional networks for Minute-level and Road-level Traffic Accident Risk Prediction
arxiv:2405.18602 v2 · 2024-05-28 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EJ5X6B5TEKIFONUKZ3XYL4N54P}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T08:26:26.152144Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
227b7f07b3229057368aceef85f1bde3e694961b4d84c5005c6d67291a271ed7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EJ5X6B5TEKIFONUKZ3XYL4N54P \
| 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: 227b7f07b3229057368aceef85f1bde3e694961b4d84c5005c6d67291a271ed7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9e442cda963128d8da1cd4d88af790e490ceb12d3a50e9b362b680a55dda8d4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-05-28T21:33:18Z",
"title_canon_sha256": "820b2579a397604bd64a2806bb6731e1060017f73012f8e53f58568cfdfceca0"
},
"schema_version": "1.0",
"source": {
"id": "2405.18602",
"kind": "arxiv",
"version": 2
}
}