Pith Number
pith:Q32WNLZV
pith:2023:Q32WNLZVPKZ7M26WR4SMY5MZWS
not attested
not anchored
not stored
refs pending
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
arxiv:2310.02492 v3 · 2023-10-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q32WNLZVPKZ7M26WR4SMY5MZWS}
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 | 2026-07-05T08:07:11.412157Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
86f566af357ab3f66bd68f24cc7599b4bdec8f35d3e56315abbe9557ee108af0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q32WNLZVPKZ7M26WR4SMY5MZWS \
| 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: 86f566af357ab3f66bd68f24cc7599b4bdec8f35d3e56315abbe9557ee108af0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "70f773e257c3e995de219ae1a5d7254b0675f83a56b4c9f519a534e4a0668374",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-10-03T23:44:35Z",
"title_canon_sha256": "58ae79a4bb29a74ab31e0952b6d3f3209b0c18e47f805295ca65f738c29a931d"
},
"schema_version": "1.0",
"source": {
"id": "2310.02492",
"kind": "arxiv",
"version": 3
}
}