Pith Number
pith:OMLZEEOL
pith:2023:OMLZEEOLZV4OQLBI6GHG7VPSAU
not attested
not anchored
not stored
refs pending
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation
arxiv:2307.14588 v1 · 2023-07-27 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OMLZEEOLZV4OQLBI6GHG7VPSAU}
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 | 2026-07-05T06:35:15.129187Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73179211cbcd78e82c28f18e6fd5f2052da0ff2194de3334f3c62e17fa78e16c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OMLZEEOLZV4OQLBI6GHG7VPSAU \
| 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: 73179211cbcd78e82c28f18e6fd5f2052da0ff2194de3334f3c62e17fa78e16c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "adcec84e7cfbf7cfd59aa92eb0bf5d20d02a4c53fe167d18f59788af13ca83df",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-07-27T02:18:12Z",
"title_canon_sha256": "8ab5295807c35d5f5e032f1fdbac766c67a582fb9fb1c2b5a00bf2ce1b7b1b3f"
},
"schema_version": "1.0",
"source": {
"id": "2307.14588",
"kind": "arxiv",
"version": 1
}
}