Pith Number
pith:LMFZQXIN
pith:2019:LMFZQXINR337UXJHPJYVQC7BOL
not attested
not anchored
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refs pending
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes
arxiv:1903.01568 v1 · 2019-03-04 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LMFZQXINR337UXJHPJYVQC7BOL}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
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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 | 2026-05-17T23:51:56.961670Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b0b985d0d8ef7fa5d277a71580be172e06107f6c27493dc4c8c467e693b1e65
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LMFZQXINR337UXJHPJYVQC7BOL \
| 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: 5b0b985d0d8ef7fa5d277a71580be172e06107f6c27493dc4c8c467e693b1e65
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a36e5a6a534949bbe7fc802cf0146dd017fc4acee7651305d06a6b1cf20606f5",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-03-04T22:17:46Z",
"title_canon_sha256": "8fac15ea427d04c68720539eafde12df54985203c22ab93588d8c48312518e22"
},
"schema_version": "1.0",
"source": {
"id": "1903.01568",
"kind": "arxiv",
"version": 1
}
}