Pith Number
pith:MNO72Y5V
pith:2025:MNO72Y5VVROVLXQ4XNKQF5NHLJ
not attested
not anchored
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refs pending
B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
arxiv:2505.22252 v1 · 2025-05-28 · cs.LG · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MNO72Y5VVROVLXQ4XNKQF5NHLJ}
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 | 2026-07-05T11:11:11.941038Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
635dfd63b5ac5d55de1cbb5502f5a75a480a0e940e0eb96dcda878379e6caf4c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MNO72Y5VVROVLXQ4XNKQF5NHLJ \
| 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: 635dfd63b5ac5d55de1cbb5502f5a75a480a0e940e0eb96dcda878379e6caf4c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "afc9426ceaa2d83f0ac80fce6f425a5f478fe30d097f3329f68f61275aca430f",
"cross_cats_sorted": [
"cs.CE"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-28T11:40:48Z",
"title_canon_sha256": "563a7a8a401a4a963f47bcbf6bc597af45990055fb746b8e518ccf27d5824e14"
},
"schema_version": "1.0",
"source": {
"id": "2505.22252",
"kind": "arxiv",
"version": 1
}
}