Pith Number
pith:LJ5ILQ45
pith:2024:LJ5ILQ45LPOGGIUB5GYU7FVVIH
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refs pending
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
arxiv:2412.07243 v1 · 2024-12-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LJ5ILQ45LPOGGIUB5GYU7FVVIH}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T09:47:06.610993Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a7a85c39d5bdc632281e9b14f96b541d6b24e568fd5612af4059c2a18fc2957
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LJ5ILQ45LPOGGIUB5GYU7FVVIH \
| 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: 5a7a85c39d5bdc632281e9b14f96b541d6b24e568fd5612af4059c2a18fc2957
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7f807de2eca6bfec3a672c1020ce8b593129769ea6a4970d73b04db8c3740a21",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-10T07:07:06Z",
"title_canon_sha256": "0b53a5e111d5d0edeaf081cd14d2d05dee2b41fb7ff7737ac8f72f4ed44b3ca9"
},
"schema_version": "1.0",
"source": {
"id": "2412.07243",
"kind": "arxiv",
"version": 1
}
}