Pith Number
pith:4EOF7LGH
pith:2023:4EOF7LGHW5MVICO727H32FO3BZ
not attested
not anchored
not stored
refs pending
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries
arxiv:2311.10380 v1 · 2023-11-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4EOF7LGHW5MVICO727H32FO3BZ}
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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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.
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Receipt and verification
| First computed | 2026-07-05T07:13:51.380876Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e11c5facc7b7595409dfd7cfbd15db0e508a2185823541a2616654349d8b3fc5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4EOF7LGHW5MVICO727H32FO3BZ \
| 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: e11c5facc7b7595409dfd7cfbd15db0e508a2185823541a2616654349d8b3fc5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "37fc2d81656545a4e6be29ccaf64177b051b86bbd364c5b7187e9a775bf4e56b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-11-17T08:14:24Z",
"title_canon_sha256": "db839cd1f786a43dc070e64c9eacc34a6450594564578179d5a4bfb4d3faf586"
},
"schema_version": "1.0",
"source": {
"id": "2311.10380",
"kind": "arxiv",
"version": 1
}
}