Pith Number
pith:XOVIKSYT
pith:2024:XOVIKSYTJEOADLVBVJGIJVAH2Z
not attested
not anchored
not stored
refs pending
A Deep Learning Approach to Detect Complete Safety Equipment For Construction Workers Based On YOLOv7
arxiv:2406.07707 v2 · 2024-06-11 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XOVIKSYTJEOADLVBVJGIJVAH2Z}
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
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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 | 2026-07-05T09:00:49.413242Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bbaa854b13491c01aea1aa4c84d407d669532041b84835e98e894f8a71bc0015
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XOVIKSYTJEOADLVBVJGIJVAH2Z \
| 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: bbaa854b13491c01aea1aa4c84d407d669532041b84835e98e894f8a71bc0015
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5a67469dfd32c620113eacf52714590ca73f3bc714b6d1e27393cf98632746aa",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-06-11T20:38:41Z",
"title_canon_sha256": "c2843833c41cc1e6f39f4fb4178e8cbbcbc1fadef67a184880b48d45bd7a1e67"
},
"schema_version": "1.0",
"source": {
"id": "2406.07707",
"kind": "arxiv",
"version": 2
}
}