Pith Number
pith:YXN6MLTU
pith:2025:YXN6MLTUYJPAY4DNGDPHRU5PYA
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Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images
arxiv:2501.12323 v2 · 2025-01-21 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YXN6MLTUYJPAY4DNGDPHRU5PYA}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:04:59.518198Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c5dbe62e74c25e0c706d30de78d3afc03bf352b1927381b03edc1b1d8f52e050
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YXN6MLTUYJPAY4DNGDPHRU5PYA \
| 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: c5dbe62e74c25e0c706d30de78d3afc03bf352b1927381b03edc1b1d8f52e050
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c354f9237c320f674158f71ac391866e183f6f54423860aa78c52b397ce72d2c",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-01-21T17:42:06Z",
"title_canon_sha256": "7873bfd0e3e5310c5a052e6ed814db2cf831a843627a7bb2a74ea278bb3f39d7"
},
"schema_version": "1.0",
"source": {
"id": "2501.12323",
"kind": "arxiv",
"version": 2
}
}