Pith Number
pith:PMCTYCCH
pith:2022:PMCTYCCHGJKXYL2NJFIZNQYAFW
not attested
not anchored
not stored
refs pending
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey
arxiv:2206.06089 v3 · 2022-05-24 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PMCTYCCHGJKXYL2NJFIZNQYAFW}
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.
Receipt and verification
| First computed | 2026-07-05T05:36:47.534495Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7b053c084732557c2f4d495196c3002d9cfa402ab1bee35de938cb70833fcf6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PMCTYCCHGJKXYL2NJFIZNQYAFW \
| 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: 7b053c084732557c2f4d495196c3002d9cfa402ab1bee35de938cb70833fcf6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "948b0933b2f1d8864afcb0319e5de248d208347ff73367678a10ab5336af426d",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2022-05-24T03:36:25Z",
"title_canon_sha256": "f91bda760ee6b3ddfb08c43bcb064fd12d6ec495ea9d57884e46331fd10f5245"
},
"schema_version": "1.0",
"source": {
"id": "2206.06089",
"kind": "arxiv",
"version": 3
}
}