Pith Number
pith:PO5FBG2F
pith:2024:PO5FBG2FCDFU3IE3W52GDR5XRL
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A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
arxiv:2405.00476 v1 · 2024-05-01 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PO5FBG2FCDFU3IE3W52GDR5XRL}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:14:13.492740Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7bba509b4510cb4da09bb77461c7b78aeeb6c455802e45fa340e6e2cc47957a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PO5FBG2FCDFU3IE3W52GDR5XRL \
| 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: 7bba509b4510cb4da09bb77461c7b78aeeb6c455802e45fa340e6e2cc47957a3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b6fe9883293add5bdf028dd9ba5a153b943e02a6adba6517bd084299b4f2cf4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-01T12:23:16Z",
"title_canon_sha256": "e9a31cf6054e63c67ae5477dbc8217f43dbe21f481a2e95a52f3f27a39f9da3c"
},
"schema_version": "1.0",
"source": {
"id": "2405.00476",
"kind": "arxiv",
"version": 1
}
}