Pith Number
pith:XVTT2RMG
pith:2018:XVTT2RMGZ26HBSR43YGCIPVVNR
not attested
not anchored
not stored
refs pending
Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization
arxiv:1805.05612 v1 · 2018-05-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XVTT2RMGZ26HBSR43YGCIPVVNR}
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 | 2026-05-18T00:16:00.025892Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd673d4586cebc70ca3cde0c243eb56c511ddb0db16d911c7c2144c4faf2d7b6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVTT2RMGZ26HBSR43YGCIPVVNR \
| 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: bd673d4586cebc70ca3cde0c243eb56c511ddb0db16d911c7c2144c4faf2d7b6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e908a96a433d133286daecfa45f556ac8fac67d311369a70dfe77da339fcbfdc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-05-15T07:51:45Z",
"title_canon_sha256": "a938b7dfefdb47f778ed20c55935a15dc5c320ee6037fb000e26f5c3bc89e338"
},
"schema_version": "1.0",
"source": {
"id": "1805.05612",
"kind": "arxiv",
"version": 1
}
}