Pith Number
pith:3PDXLHM3
pith:2025:3PDXLHM3PNIEOD5UVUEM3HIA5E
not attested
not anchored
not stored
refs pending
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
arxiv:2506.11869 v3 · 2025-06-13 · stat.ML · cond-mat.dis-nn · cond-mat.stat-mech · cs.LG · physics.soc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3PDXLHM3PNIEOD5UVUEM3HIA5E}
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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.
Receipt and verification
| First computed | 2026-07-05T11:57:57.167670Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dbc7759d9b7b50470fb4ad08cd9d00e91829fab0c510d9b1426afe66038a7a48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3PDXLHM3PNIEOD5UVUEM3HIA5E \
| 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: dbc7759d9b7b50470fb4ad08cd9d00e91829fab0c510d9b1426afe66038a7a48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cb5dde0cebe3929adae67b4d062467d1b98259e5d32d4ab715982787a1dff052",
"cross_cats_sorted": [
"cond-mat.dis-nn",
"cond-mat.stat-mech",
"cs.LG",
"physics.soc-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-06-13T15:19:28Z",
"title_canon_sha256": "4949087405e7bc0a0048abec6c1a47f6163bef2a5a144340249d901fae953fe8"
},
"schema_version": "1.0",
"source": {
"id": "2506.11869",
"kind": "arxiv",
"version": 3
}
}