Pith Number
pith:AK7XJTY6
pith:2018:AK7XJTY6VSXUWWUWBQC3GM2QBT
not attested
not anchored
not stored
refs pending
A Vehicle Detection Approach using Deep Learning Methodologies
arxiv:1804.00429 v1 · 2018-04-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AK7XJTY6VSXUWWUWBQC3GM2QBT}
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
· sign in to
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 | 2026-05-18T00:19:37.204559Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
02bf74cf1eacaf4b5a960c05b333500cdb5a0536c67e5e42d2cde8265259e034
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AK7XJTY6VSXUWWUWBQC3GM2QBT \
| 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: 02bf74cf1eacaf4b5a960c05b333500cdb5a0536c67e5e42d2cde8265259e034
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "acf804fa3ae361c03a5320a5c8ba42a29e7cf736c5711f0aa5e4f4004fef9660",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-02T08:34:38Z",
"title_canon_sha256": "0ce6a3d57f1f7d601cd63cc072cd273ccf33cf3089a28635b387832b9f715982"
},
"schema_version": "1.0",
"source": {
"id": "1804.00429",
"kind": "arxiv",
"version": 1
}
}