Pith Number
pith:SBOQL2V7
pith:2022:SBOQL2V7LW5XFOKRBJSH2VJQFU
not attested
not anchored
not stored
refs pending
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
arxiv:2210.12705 v2 · 2022-10-23 · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SBOQL2V7LW5XFOKRBJSH2VJQFU}
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 | 2026-07-05T06:13:16.885369Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
905d05eabf5dbb72b9510a647d55302d3a500ee6d6d88056b95555b4dc380a34
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SBOQL2V7LW5XFOKRBJSH2VJQFU \
| 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: 905d05eabf5dbb72b9510a647d55302d3a500ee6d6d88056b95555b4dc380a34
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8c09d8f316d3bd3614a2805963b6fcf3b33ab2877f3f284ce932efd9e9a54368",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-10-23T11:52:57Z",
"title_canon_sha256": "9b8cbec05339c954a22072f6565ccc983fbe78d5d2678b7cc3c53218a293960b"
},
"schema_version": "1.0",
"source": {
"id": "2210.12705",
"kind": "arxiv",
"version": 2
}
}