Pith Number
pith:ZLVFRI5D
pith:2024:ZLVFRI5D7SWV2DAM4QYE7C7USL
not attested
not anchored
not stored
refs pending
Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network
arxiv:2409.17678 v1 · 2024-09-26 · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZLVFRI5D7SWV2DAM4QYE7C7USL}
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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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.
Receipt and verification
| First computed | 2026-07-05T09:12:13.915541Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
caea58a3a3fcad5d0c0ce4304f8bf492c2d3797e5a8d2f389980f08b3c2e0015
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL \
| 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: caea58a3a3fcad5d0c0ce4304f8bf492c2d3797e5a8d2f389980f08b3c2e0015
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84c0b71361c8c830af89f3896519201f1a2e917a5a3eeaf7bf0541e964ecd4c4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.MM",
"submitted_at": "2024-09-26T09:37:04Z",
"title_canon_sha256": "27431e9a77abedfbf3a249607a35541849191974983c8ff16ed6bc024dcdd7bd"
},
"schema_version": "1.0",
"source": {
"id": "2409.17678",
"kind": "arxiv",
"version": 1
}
}