Pith Number
pith:EZFNOOH4
pith:2020:EZFNOOH4KBJEXPP5B2KJ4SGCEU
not attested
not anchored
not stored
refs pending
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition
arxiv:2005.11945 v1 · 2020-05-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EZFNOOH4KBJEXPP5B2KJ4SGCEU}
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 | 2026-07-05T01:05:29.482113Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
264ad738fc50524bbdfd0e949e48c22503642e4d071ce6797b09bcc04cc01b1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EZFNOOH4KBJEXPP5B2KJ4SGCEU \
| 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: 264ad738fc50524bbdfd0e949e48c22503642e4d071ce6797b09bcc04cc01b1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c3f7eceb389831d5310b094c997bc101ccbc3a2faf736adfd16adbb31110c2e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-05-25T07:01:12Z",
"title_canon_sha256": "b47181ba3f3b6d0bef9868dfdc43b9f1211348daf102eae4417b0fb83692424a"
},
"schema_version": "1.0",
"source": {
"id": "2005.11945",
"kind": "arxiv",
"version": 1
}
}