Pith Number
pith:AGLGU7WH
pith:2022:AGLGU7WHEXMWOC6J7OH6P56O2R
not attested
not anchored
not stored
refs pending
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation
arxiv:2208.04278 v2 · 2022-08-08 · cs.CV · cs.GR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AGLGU7WHEXMWOC6J7OH6P56O2R}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T05:27:34.698823Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01966a7ec725d9670bc9fb8fe7f7ced456cb86985d827b5527180d01cbf2e246
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AGLGU7WHEXMWOC6J7OH6P56O2R \
| 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: 01966a7ec725d9670bc9fb8fe7f7ced456cb86985d827b5527180d01cbf2e246
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a55245b73585905cf994ebb1a6ffb34b5fc0dd3141749e3c46e788bc5864a5d5",
"cross_cats_sorted": [
"cs.GR",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-08-08T17:16:02Z",
"title_canon_sha256": "8b032243175502c4a47944fe669a17fd504b0943bc10f48eeb479471e80bae38"
},
"schema_version": "1.0",
"source": {
"id": "2208.04278",
"kind": "arxiv",
"version": 2
}
}