Pith Number
pith:LTRGD6WQ
pith:2018:LTRGD6WQ3LQIDUCTSY5HKGKM4A
not attested
not anchored
not stored
refs pending
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
arxiv:1804.00433 v2 · 2018-04-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTRGD6WQ3LQIDUCTSY5HKGKM4A}
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.
Receipt and verification
| First computed | 2026-07-05T01:02:42.038280Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ce261fad0dae081d053963a75194ce008f99d979629c7cc9a954c6a66d7ba21
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTRGD6WQ3LQIDUCTSY5HKGKM4A \
| 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: 5ce261fad0dae081d053963a75194ce008f99d979629c7cc9a954c6a66d7ba21
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d90077e2257cd428d3c3bf6135be6ac08723e29f889159171081adfacccd10c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-02T09:27:09Z",
"title_canon_sha256": "05e1a11472ec110fa2b43722bfd217f4790d428466a06f5c89a3852f7d18bd54"
},
"schema_version": "1.0",
"source": {
"id": "1804.00433",
"kind": "arxiv",
"version": 2
}
}