Pith Number
pith:ZTGSTZZD
pith:2017:ZTGSTZZDP7RA5KNNCU4LQ5HGZC
not attested
not anchored
not stored
refs pending
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
arxiv:1702.00824 v5 · 2017-02-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZTGSTZZDP7RA5KNNCU4LQ5HGZC}
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
✓
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 | 2026-05-18T00:47:56.488586Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cccd29e7237fe20ea9ad1538b874e6c8bd04448a368349bf509a5a0770b5a990
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZTGSTZZDP7RA5KNNCU4LQ5HGZC \
| 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: cccd29e7237fe20ea9ad1538b874e6c8bd04448a368349bf509a5a0770b5a990
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ad2a08ff5a22c257786d250b70303d39793d3f4978417bc34424aaab98735969",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-02T20:58:02Z",
"title_canon_sha256": "4c23b358570619e011e24f4a6bd4fc21a03353172d4aef56afadb82cac7f122c"
},
"schema_version": "1.0",
"source": {
"id": "1702.00824",
"kind": "arxiv",
"version": 5
}
}