Pith Number
pith:LRMYOAG4
pith:2024:LRMYOAG4YMWL5SZZGS5CGFR625
not attested
not anchored
not stored
refs pending
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach
arxiv:2411.14385 v2 · 2024-11-21 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LRMYOAG4YMWL5SZZGS5CGFR625}
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 | 2026-07-05T09:40:00.749083Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c598700dcc32cbecb3934ba23163ed74be381d64da3ad10469e6abc725f2d87
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LRMYOAG4YMWL5SZZGS5CGFR625 \
| 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: 5c598700dcc32cbecb3934ba23163ed74be381d64da3ad10469e6abc725f2d87
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "55ac9cdd9487d1e44ced5a6f97764ce3a7cf8c7532259a22b5e2157e76ffe27f",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-11-21T18:21:42Z",
"title_canon_sha256": "bf6e822b934405210276ad85fac8e5846d8be22c4eeb439e6b87d0af8239e5d9"
},
"schema_version": "1.0",
"source": {
"id": "2411.14385",
"kind": "arxiv",
"version": 2
}
}