Pith Number
pith:4CZVSHLD
pith:2025:4CZVSHLDBSKWZTIDQP3BIWSXAQ
not attested
not anchored
not stored
refs pending
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
arxiv:2506.11398 v1 · 2025-06-13 · cs.LG · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4CZVSHLDBSKWZTIDQP3BIWSXAQ}
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 | 2026-07-05T11:21:03.641084Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e0b3591d630c956ccd0383f6145a570430a62cbf5c741ba9f7f4fff1f4bc2b45
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4CZVSHLDBSKWZTIDQP3BIWSXAQ \
| 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: e0b3591d630c956ccd0383f6145a570430a62cbf5c741ba9f7f4fff1f4bc2b45
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6791ac18ee75ec44dc2728709254139fcfa4f72782855a3d3b65e66f996a7729",
"cross_cats_sorted": [
"physics.flu-dyn"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-13T01:45:37Z",
"title_canon_sha256": "41db1ca1f046d071d7966e2313830860320b1860c8dc808d5532eea65109ac49"
},
"schema_version": "1.0",
"source": {
"id": "2506.11398",
"kind": "arxiv",
"version": 1
}
}