Pith Number
pith:MZYNJBZK
pith:2015:MZYNJBZKBVQV2OZEIZDVEGXODD
not attested
not anchored
not stored
refs pending
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
arxiv:1501.05703 v2 · 2015-01-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MZYNJBZKBVQV2OZEIZDVEGXODD}
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 | 2026-05-18T02:28:20.194238Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6670d4872a0d615d3b244647521aee18c10e10cec05e7fe74300913e15217aac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MZYNJBZKBVQV2OZEIZDVEGXODD \
| 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: 6670d4872a0d615d3b244647521aee18c10e10cec05e7fe74300913e15217aac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9db1debb9f82ecbb64fd38db79b68c7448dafcd84512ed3bd02ef8589e3a926a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-01-23T02:35:01Z",
"title_canon_sha256": "274f5b3c3c7e225954cd1f53ca600a351a3ec21fa5ad6e83ff5a9e87abe9d567"
},
"schema_version": "1.0",
"source": {
"id": "1501.05703",
"kind": "arxiv",
"version": 2
}
}