Pith Number
pith:I5FH6LNK
pith:2016:I5FH6LNKU326KGIJYS3LJSANSN
not attested
not anchored
not stored
refs pending
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
arxiv:1603.01249 v3 · 2016-03-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I5FH6LNKU326KGIJYS3LJSANSN}
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 | 2026-05-18T00:28:41.397016Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
474a7f2daaa6f5e51909c4b6b4c80d934df509c47e7429ebc532c4d7d3470e94
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I5FH6LNKU326KGIJYS3LJSANSN \
| 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: 474a7f2daaa6f5e51909c4b6b4c80d934df509c47e7429ebc532c4d7d3470e94
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "da9a9c07e2b976f49c0e48d48d0a89df908b91c7928bbb2836ba75a8a76823e3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-03-03T20:30:53Z",
"title_canon_sha256": "9a94ab3c33d37e6043933b1ada0da1380967d1a934f55c037e7fc604d573cfeb"
},
"schema_version": "1.0",
"source": {
"id": "1603.01249",
"kind": "arxiv",
"version": 3
}
}