Pith Number
pith:4G23GVJP
pith:2026:4G23GVJPSSDYOCBSIWZHX33TF3
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not stored
refs pending
MLFFM-SegDiff: A Multi-Level Feature Fusion Diffusion Model for Skin Lesion Segmentation
arxiv:2606.26712 v1 · 2026-06-25 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4G23GVJPSSDYOCBSIWZHX33TF3}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
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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 | 2026-06-26T01:15:57.680391Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1b5b3552f948787083245b27bef732ef53f10e9ca120b52f270126b17ed9f61
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4G23GVJPSSDYOCBSIWZHX33TF3 \
| 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: e1b5b3552f948787083245b27bef732ef53f10e9ca120b52f270126b17ed9f61
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c4f5fd3e35ca2171c36f4dcd12974a10720d429599fff9d985e3b15b46efef8",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2026-06-25T07:45:28Z",
"title_canon_sha256": "f513a1fc17e979f1062d2618dc2158bf917aa2df999fdc3ceb98dcb15b958d98"
},
"schema_version": "1.0",
"source": {
"id": "2606.26712",
"kind": "arxiv",
"version": 1
}
}