Pith Number
pith:4RNPX53X
pith:2016:4RNPX53XIFHL6R7JWNMDN664BO
not attested
not anchored
not stored
refs pending
Convolutional Experts Constrained Local Model for Facial Landmark Detection
arxiv:1611.08657 v5 · 2016-11-26 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4RNPX53XIFHL6R7JWNMDN664BO}
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 | 2026-05-18T00:39:23.793598Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e45afbf777414ebf47e9b35836fbdc0bae2b77b7bc0d9b4339b4d09b7f5f3c63
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4RNPX53XIFHL6R7JWNMDN664BO \
| 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: e45afbf777414ebf47e9b35836fbdc0bae2b77b7bc0d9b4339b4d09b7f5f3c63
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6ec65fca159a4133bfd963e3457d375285f7b12af3f90f53ce515f84bea64f6",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-11-26T04:47:34Z",
"title_canon_sha256": "9a8d9a2f19c90606f48bbd6b849a0befca37fba8dab6e458d29a758f0027c568"
},
"schema_version": "1.0",
"source": {
"id": "1611.08657",
"kind": "arxiv",
"version": 5
}
}