Pith Number
pith:X4VLLZEO
pith:2020:X4VLLZEOCYTGZOZOO6DESG5C32
not attested
not anchored
not stored
refs pending
Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning
arxiv:2009.04507 v1 · 2020-09-09 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X4VLLZEOCYTGZOZOO6DESG5C32}
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 | 2026-07-05T01:34:27.202322Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bf2ab5e48e16266cbb2e7786491ba2de879292b0a7808a92a06ae16f0ad67cff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X4VLLZEOCYTGZOZOO6DESG5C32 \
| 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: bf2ab5e48e16266cbb2e7786491ba2de879292b0a7808a92a06ae16f0ad67cff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "17b337b7ef71e9e958acfed42c4660be899a59160b82dd17b9526bcc0268d641",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-09-09T18:28:00Z",
"title_canon_sha256": "fd93fec702b9f186b25bf2396420f0a349f5f827656835a90f4ba4e458e0e92d"
},
"schema_version": "1.0",
"source": {
"id": "2009.04507",
"kind": "arxiv",
"version": 1
}
}