Pith Number
pith:FCFJHGNU
pith:2024:FCFJHGNU7FCF3CAE4D6UK4ZLTN
not attested
not anchored
not stored
refs pending
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
arxiv:2409.15764 v1 · 2024-09-24 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FCFJHGNU7FCF3CAE4D6UK4ZLTN}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:10:59.723362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
288a9399b4f9445d8804e0fd45732b9b5e17e87906a19f21cc0b20e5b162f890
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FCFJHGNU7FCF3CAE4D6UK4ZLTN \
| 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: 288a9399b4f9445d8804e0fd45732b9b5e17e87906a19f21cc0b20e5b162f890
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "63641c976ecbdc984a5964d1fd6aab011c2d0262a909c252ecf514aa1a110a44",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-24T05:41:11Z",
"title_canon_sha256": "025bae763e69679043161249384962c71849272bf36477ded42f4847f11b9677"
},
"schema_version": "1.0",
"source": {
"id": "2409.15764",
"kind": "arxiv",
"version": 1
}
}