Pith Number
pith:4FECIDE6
pith:2016:4FECIDE6YCIIBES3K6C3B45SEG
not attested
not anchored
not stored
refs pending
Learning a Metric Embedding for Face Recognition using the Multibatch Method
arxiv:1605.07270 v1 · 2016-05-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4FECIDE6YCIIBES3K6C3B45SEG}
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 | 2026-05-18T01:13:46.503655Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e148240c9ec09080925b5785b0f3b22181a1ac25a6fb075498f0dfe297c684cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4FECIDE6YCIIBES3K6C3B45SEG \
| 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: e148240c9ec09080925b5785b0f3b22181a1ac25a6fb075498f0dfe297c684cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9aa152b6d6c79cbc5d30458c6477b2f3a621863aace81fcd0637976bc0884373",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-05-24T02:42:53Z",
"title_canon_sha256": "dd00759e8677e774724daee1c0bdc0065ab4768bd02dbdb46628874ecb436b54"
},
"schema_version": "1.0",
"source": {
"id": "1605.07270",
"kind": "arxiv",
"version": 1
}
}