Pith Number
pith:IVLDJQI7
pith:2022:IVLDJQI7ODKV2GZ7TN3C7C4Y5X
not attested
not anchored
not stored
refs pending
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
arxiv:2209.15454 v1 · 2022-09-30 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IVLDJQI7ODKV2GZ7TN3C7C4Y5X}
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
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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 | 2026-07-05T05:02:20.124376Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
455634c11f70d55d1b3f9b762f8b98edfdbb6d7ada0257430a9d96f38fc75af9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IVLDJQI7ODKV2GZ7TN3C7C4Y5X \
| 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: 455634c11f70d55d1b3f9b762f8b98edfdbb6d7ada0257430a9d96f38fc75af9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6a9f5233e2be52b67d434ea307d68ebfb52d30f326370f0367bb480f934dd16",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-09-30T13:03:57Z",
"title_canon_sha256": "6c864f2ad3278e9bcdb9917878943442a7f4ba0bad6abd8e57279519f7f460d2"
},
"schema_version": "1.0",
"source": {
"id": "2209.15454",
"kind": "arxiv",
"version": 1
}
}