Pith Number
pith:7F4KXTQ3
pith:2024:7F4KXTQ3KQ3QOKECJ6CHUD2U36
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not anchored
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refs pending
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
arxiv:2403.00485 v3 · 2024-03-01 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7F4KXTQ3KQ3QOKECJ6CHUD2U36}
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
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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 | 2026-07-05T11:12:16.831578Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f978abce1b54370728824f847a0f54dfb4a62ab69fb5130193110a7dbe783819
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7F4KXTQ3KQ3QOKECJ6CHUD2U36 \
| 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: f978abce1b54370728824f847a0f54dfb4a62ab69fb5130193110a7dbe783819
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "17b463c0dfefd267a2fd7e5892b87665a6db4b5bf9dc375237e3d49fed1ae425",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-03-01T12:13:04Z",
"title_canon_sha256": "4896d1caa73574d1d84b2129d96612da20476942f8868bcdbf787bf38c66e5ce"
},
"schema_version": "1.0",
"source": {
"id": "2403.00485",
"kind": "arxiv",
"version": 3
}
}