Pith Number
pith:FOVGKDO2
pith:2020:FOVGKDO2ETB64DVWCOFGRWD6X4
not attested
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refs pending
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
arxiv:2012.13697 v1 · 2020-12-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FOVGKDO2ETB64DVWCOFGRWD6X4}
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 | 2026-07-05T02:02:12.097421Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2baa650dda24c3ee0eb6138a68d87ebf029b277884b40a4b4f2b9669c5bd6c10
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FOVGKDO2ETB64DVWCOFGRWD6X4 \
| 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: 2baa650dda24c3ee0eb6138a68d87ebf029b277884b40a4b4f2b9669c5bd6c10
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56d7b09d61ceaac977c193eb2ef4d8715df60db72224daff098a5ab5634e9e65",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-12-26T08:02:56Z",
"title_canon_sha256": "db35e0e622f892886a6c65691308e722eabbe5b6e008a44722bebd7cca0c4f41"
},
"schema_version": "1.0",
"source": {
"id": "2012.13697",
"kind": "arxiv",
"version": 1
}
}