Pith Number
pith:JYGJPVIG
pith:2025:JYGJPVIGCIU222R3GHOSAHYGHL
not attested
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refs pending
Advanced Deep Learning Techniques for Automated Segmentation of Type B Aortic Dissections
arxiv:2506.22222 v1 · 2025-06-27 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JYGJPVIGCIU222R3GHOSAHYGHL}
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
2
Internet Archive
3
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4
Citations
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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 | 2026-07-05T11:28:23.828709Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e0c97d5061229ad6a3b31dd201f063af1ba3d3d3261110650fa0f9d1ecc08c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JYGJPVIGCIU222R3GHOSAHYGHL \
| 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: 4e0c97d5061229ad6a3b31dd201f063af1ba3d3d3261110650fa0f9d1ecc08c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9f7ff28bf2deb018528844398ef1b8a88e253b11193e6bd6969aef395e8404b8",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-06-27T13:38:33Z",
"title_canon_sha256": "ba838e345ef3aaea231015838e5067c250428260ef3c27f41391c2c12cb11ded"
},
"schema_version": "1.0",
"source": {
"id": "2506.22222",
"kind": "arxiv",
"version": 1
}
}