Pith Number
pith:MXBKPNIW
pith:2018:MXBKPNIW6772JFEIMTC4H2CL6M
not attested
not anchored
not stored
refs pending
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
arxiv:1807.00966 v2 · 2018-07-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MXBKPNIW6772JFEIMTC4H2CL6M}
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
· sign in to
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.
Receipt and verification
| First computed | 2026-05-18T00:11:29.917388Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65c2a7b516f7ffa4948864c5c3e84bf33fb92cee4b1bfbb1ecf74f014f910a96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MXBKPNIW6772JFEIMTC4H2CL6M \
| 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: 65c2a7b516f7ffa4948864c5c3e84bf33fb92cee4b1bfbb1ecf74f014f910a96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "79a7a24eb93a3e90eecfc6432d5c51a8fb4e06b34e7c477b2db7d819050843d6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-03T03:52:45Z",
"title_canon_sha256": "c748eb0e12056202373b7ee28f36e2876e996f742816a70db32c67981e542247"
},
"schema_version": "1.0",
"source": {
"id": "1807.00966",
"kind": "arxiv",
"version": 2
}
}