Pith Number
pith:T2YA7PPE
pith:2025:T2YA7PPEHMOC44JSGFS5VT6ZZV
not attested
not anchored
not stored
refs pending
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound
arxiv:2506.06054 v1 · 2025-06-06 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T2YA7PPEHMOC44JSGFS5VT6ZZV}
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 | 2026-07-05T11:17:16.598335Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9eb00fbde43b1c2e71323165dacfd9cd4d041f47c4cf34a66098297d26299b4a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T2YA7PPEHMOC44JSGFS5VT6ZZV \
| 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: 9eb00fbde43b1c2e71323165dacfd9cd4d041f47c4cf34a66098297d26299b4a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "90d0c2e1141fdcf00e683f1a299ed50a6ea3cfea9890a73c33414afe00e1dd56",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-06-06T13:00:17Z",
"title_canon_sha256": "f44cddff9b53d4d24749c1cd7826cccb10e6ee5e8392accc852bf222f7362a64"
},
"schema_version": "1.0",
"source": {
"id": "2506.06054",
"kind": "arxiv",
"version": 1
}
}