Pith Number
pith:EUJGZ3F3
pith:2024:EUJGZ3F3TF6N6WYMRXFSGUNNIR
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Two-Phase Segmentation Approach for Accurate Left Ventricle Segmentation in Cardiac MRI using Machine Learning
arxiv:2407.20387 v1 · 2024-07-29 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EUJGZ3F3TF6N6WYMRXFSGUNNIR}
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Record completeness
1
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 | 2026-07-05T08:49:57.188411Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
25126cecbb997cdf5b0c8dcb2351ad446e9ef880f2a33bbc6f2b87cf64019553
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EUJGZ3F3TF6N6WYMRXFSGUNNIR \
| 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: 25126cecbb997cdf5b0c8dcb2351ad446e9ef880f2a33bbc6f2b87cf64019553
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e2c531cfecc8aaf62633bc690d92eab360e460863d39c0e425f1c740321a33c8",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-07-29T19:26:24Z",
"title_canon_sha256": "bf97fea1b8539e2c5c83ace55c503e00a2a04735bd12b314379502db524798b2"
},
"schema_version": "1.0",
"source": {
"id": "2407.20387",
"kind": "arxiv",
"version": 1
}
}