Pith Number
pith:3TYIYTNH
pith:2021:3TYIYTNHNQB4RUB3FR7LK4DRTM
not attested
not anchored
not stored
refs pending
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data
arxiv:2105.08971 v2 · 2021-05-19 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3TYIYTNHNQB4RUB3FR7LK4DRTM}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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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 | 2026-07-05T02:57:54.440164Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dcf08c4da76c03c8d03b2c7eb570719b3af0f0994d03f30886977c53a9a5f8f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3TYIYTNHNQB4RUB3FR7LK4DRTM \
| 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: dcf08c4da76c03c8d03b2c7eb570719b3af0f0994d03f30886977c53a9a5f8f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bcb3d516c355230ddc8e411ffa0d9e3d9cdfaecce23ac17c5b418ae4e775e356",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2021-05-19T07:47:42Z",
"title_canon_sha256": "22f9204b8364b998b3f227779378a762d752215e167bd7f65c483b324a037481"
},
"schema_version": "1.0",
"source": {
"id": "2105.08971",
"kind": "arxiv",
"version": 2
}
}