Pith Number
pith:JUGB4C2N
pith:2022:JUGB4C2NBWTV5DILML5BNBFY6X
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Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks
arxiv:2205.07121 v1 · 2022-05-14 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JUGB4C2NBWTV5DILML5BNBFY6X}
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Record completeness
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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 | 2026-07-05T04:23:12.310829Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4d0c1e0b4d0da75e8d0b62fa1684b8f5cc63bf05aed3b2bbcfc2b86b53f79a05
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JUGB4C2NBWTV5DILML5BNBFY6X \
| 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: 4d0c1e0b4d0da75e8d0b62fa1684b8f5cc63bf05aed3b2bbcfc2b86b53f79a05
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b8f111b2f98d4096cd889fa66a3f23156fd747d5a3050d5eee061185ef2db4b",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-05-14T19:49:03Z",
"title_canon_sha256": "b652e02f78be4bcd0f55b7c4a355b6436be22fe6d6f9c138818205c0d3dcb4b7"
},
"schema_version": "1.0",
"source": {
"id": "2205.07121",
"kind": "arxiv",
"version": 1
}
}