Pith Number
pith:YXPBK27S
pith:2025:YXPBK27SVHDBKERMDBVR7THLID
not attested
not anchored
not stored
refs pending
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
arxiv:2504.08177 v1 · 2025-04-11 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YXPBK27SVHDBKERMDBVR7THLID}
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
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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 | 2026-07-05T10:47:44.379921Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c5de156bf2a9c615122c186b1fcceb40e743bb2ce887773c3aa83fdc9c760a56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YXPBK27SVHDBKERMDBVR7THLID \
| 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: c5de156bf2a9c615122c186b1fcceb40e743bb2ce887773c3aa83fdc9c760a56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28b9d1113cc9eea222809e80eea3fcbcb9ef094b31e78ec5a1dd1a7598f85c9e",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-04-11T00:14:28Z",
"title_canon_sha256": "d4f538ab4fe597eee0005bc50a21b6616b0b0deada95af3ecdc151e100e449e1"
},
"schema_version": "1.0",
"source": {
"id": "2504.08177",
"kind": "arxiv",
"version": 1
}
}