Pith Number
pith:B3KKF76Y
pith:2018:B3KKF76Y73S4X5BTJAHVBKQS5T
not attested
not anchored
not stored
refs pending
Learning Graph-Level Representations with Recurrent Neural Networks
arxiv:1805.07683 v4 · 2018-05-20 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B3KKF76Y73S4X5BTJAHVBKQS5T}
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 | 2026-05-18T00:05:56.060577Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ed4a2ffd8fee5cbf433480f50aa12ecd1fbebda131be8308eb14e49e87194bb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B3KKF76Y73S4X5BTJAHVBKQS5T \
| 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: 0ed4a2ffd8fee5cbf433480f50aa12ecd1fbebda131be8308eb14e49e87194bb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14d9cebea1f3cc77723b92cb7bd4d8ab884946b4e6c4823d3cec3a8201c76124",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-05-20T00:26:37Z",
"title_canon_sha256": "4076f7c23b3b7bade999f165541793f12fb7b294a1d57b1aedeecb8ea72af1da"
},
"schema_version": "1.0",
"source": {
"id": "1805.07683",
"kind": "arxiv",
"version": 4
}
}