Pith Number
pith:NHSTN3W7
pith:2020:NHSTN3W7A7Y3PI4CLNXKEK22VK
not attested
not anchored
not stored
refs pending
Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
arxiv:2003.02437 v2 · 2020-03-05 · cs.CV · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NHSTN3W7A7Y3PI4CLNXKEK22VK}
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 | 2026-07-05T03:22:31.976010Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69e536eedf07f1b7a3825b6ea22b5aaaa4fe4f42c1af6417b71e2892fe127efa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NHSTN3W7A7Y3PI4CLNXKEK22VK \
| 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: 69e536eedf07f1b7a3825b6ea22b5aaaa4fe4f42c1af6417b71e2892fe127efa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e312c9482c98ea05512bcc79e4fb5be15e627e18e1c8a00324a078af51bb8e63",
"cross_cats_sorted": [
"cs.LG",
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-03-05T05:29:44Z",
"title_canon_sha256": "4d9ccdf665dce8a8712ed82aa823f6dd168f253dbd2222fc899e2839c7824707"
},
"schema_version": "1.0",
"source": {
"id": "2003.02437",
"kind": "arxiv",
"version": 2
}
}