Pith Number
pith:FFWMFKAD
pith:2022:FFWMFKADOS4CRAW3HLUQLAUENK
not attested
not anchored
not stored
refs pending
CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format
arxiv:2210.16815 v1 · 2022-10-30 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FFWMFKADOS4CRAW3HLUQLAUENK}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:11:51.060579Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
296cc2a80374b82882db3ae90582846a98e3e901edbae975bcedef7d995ded2d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FFWMFKADOS4CRAW3HLUQLAUENK \
| 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: 296cc2a80374b82882db3ae90582846a98e3e901edbae975bcedef7d995ded2d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "086ec77b2da7931786156284eb9832201f0b682b4e86f94fa2cd6e51cdbf8791",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-10-30T11:27:58Z",
"title_canon_sha256": "8c397906b5ee31c925de730683e4e12c691f57d89e10568ee87e44fe8ebba0cd"
},
"schema_version": "1.0",
"source": {
"id": "2210.16815",
"kind": "arxiv",
"version": 1
}
}