Pith Number
pith:DKE737ZY
pith:2025:DKE737ZYVE7K4ZS6X5FNF3BBNA
not attested
not anchored
not stored
refs pending
R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception
arxiv:2503.17122 v3 · 2025-03-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DKE737ZYVE7K4ZS6X5FNF3BBNA}
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
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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 | 2026-07-05T11:45:33.200208Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1a89fdff38a93eae665ebf4ad2ec216833f692e01b708fa25bc4b0a2b3d5c13a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DKE737ZYVE7K4ZS6X5FNF3BBNA \
| 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: 1a89fdff38a93eae665ebf4ad2ec216833f692e01b708fa25bc4b0a2b3d5c13a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "757119201723c9fe63b530591b5f9c73efc207033427833d276cd1b34d4b081c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-21T13:17:28Z",
"title_canon_sha256": "5346b3811a198d9b04ad669cdae46320accab5c480e0fa012a0fe9ab0fec6526"
},
"schema_version": "1.0",
"source": {
"id": "2503.17122",
"kind": "arxiv",
"version": 3
}
}