Pith Number
pith:OGRFBXKJ
pith:2017:OGRFBXKJ5RR2MOVJZD2MMWTAJ5
not attested
not anchored
not stored
refs pending
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications
arxiv:1711.00558 v1 · 2017-11-01 · cs.CV · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OGRFBXKJ5RR2MOVJZD2MMWTAJ5}
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 | 2026-05-18T00:31:30.223348Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
71a250dd49ec63a63aa9c8f4c65a604f54795b420d3dfb6335cda8a75809cb29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OGRFBXKJ5RR2MOVJZD2MMWTAJ5 \
| 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: 71a250dd49ec63a63aa9c8f4c65a604f54795b420d3dfb6335cda8a75809cb29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d32e74c5df102bfda12fec1e71dc8e730c688702b135a8e4165e3bd5a437e58",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-01T23:09:22Z",
"title_canon_sha256": "d9c31f19235082f6ca517f3bd68ca28e7a068e03606f53ae9e1ee42e97e58bd7"
},
"schema_version": "1.0",
"source": {
"id": "1711.00558",
"kind": "arxiv",
"version": 1
}
}