Pith Number
pith:MA7U4CVQ
pith:2018:MA7U4CVQJXZEEHPQVVMOT6V7DC
not attested
not anchored
not stored
refs pending
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
arxiv:1804.01438 v3 · 2018-04-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MA7U4CVQJXZEEHPQVVMOT6V7DC}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:08:15.091604Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
603f4e0ab04df2421df0ad58e9fabf18b9041c8c6a79f656a7531ae2742ae1dd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MA7U4CVQJXZEEHPQVVMOT6V7DC \
| 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: 603f4e0ab04df2421df0ad58e9fabf18b9041c8c6a79f656a7531ae2742ae1dd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19168775ca87031ffbe4332a16536733d4505ff6785b1ac7c965218bb0a3e1a2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-04T14:36:01Z",
"title_canon_sha256": "74abd3df16391be06efcb3abbe33fd81a9d7bd730d5c33baa056da9e83b7a213"
},
"schema_version": "1.0",
"source": {
"id": "1804.01438",
"kind": "arxiv",
"version": 3
}
}