Pith Number
pith:PJHJYYFM
pith:2017:PJHJYYFML3G3MKZWKLFIZF24PU
not attested
not anchored
not stored
refs pending
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
arxiv:1711.06753 v5 · 2017-11-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PJHJYYFML3G3MKZWKLFIZF24PU}
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 | 2026-05-18T00:02:28.108617Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7a4e9c60ac5ecdb62b3652ca8c975c7d3d454528fe4082d1fdadd47b749dbf1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PJHJYYFML3G3MKZWKLFIZF24PU \
| 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: 7a4e9c60ac5ecdb62b3652ca8c975c7d3d454528fe4082d1fdadd47b749dbf1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cdad0cbf0e751e306b6dbadd83880727a289dbdae39c1edff543d956c27a9a4e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-17T22:26:55Z",
"title_canon_sha256": "c7f6811c477fe9e52f318b1d851a880d4011bde18147bfad536ce2a0938fbcaf"
},
"schema_version": "1.0",
"source": {
"id": "1711.06753",
"kind": "arxiv",
"version": 5
}
}