Pith Number
pith:2KAFV54L
pith:2025:2KAFV54L7VCDFUSFTIETVDXBTJ
not attested
not anchored
not stored
refs pending
Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
arxiv:2509.10635 v1 · 2025-09-12 · cs.LG · cs.CR · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2KAFV54L7VCDFUSFTIETVDXBTJ}
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 | 2026-07-05T12:11:24.804852Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d2805af78bfd4432d2459a093a8ee19a7c99921759fd65db7b102a3942bd2deb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2KAFV54L7VCDFUSFTIETVDXBTJ \
| 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: d2805af78bfd4432d2459a093a8ee19a7c99921759fd65db7b102a3942bd2deb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9538298757536418e3136e301beab09f5d55664f87e5e19318bd3d14dfa13032",
"cross_cats_sorted": [
"cs.CR",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-12T18:42:33Z",
"title_canon_sha256": "cf37f361aef9aaa1051ce7ff2610a898ce93079b3ac4fd4cab8bcc0e60392cc4"
},
"schema_version": "1.0",
"source": {
"id": "2509.10635",
"kind": "arxiv",
"version": 1
}
}