Pith Number
pith:2VTZAZOR
pith:2024:2VTZAZORLSWETNQJCMK2DOD67P
not attested
not anchored
not stored
refs pending
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods
arxiv:2408.03393 v2 · 2024-08-06 · eess.IV · cs.CV · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2VTZAZORLSWETNQJCMK2DOD67P}
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
2
Internet Archive
3
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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 | 2026-07-05T09:00:24.130560Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d5679065d15cac49b6091315a1b87efbd7f2c1cc821916ad8914150a4b82b09f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2VTZAZORLSWETNQJCMK2DOD67P \
| 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: d5679065d15cac49b6091315a1b87efbd7f2c1cc821916ad8914150a4b82b09f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56396c91be25b4d9f0dc2ba0a12ebd8c567e4f65e3f2a5d3883e0ee3d8b8e9b9",
"cross_cats_sorted": [
"cs.CV",
"cs.GR"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-08-06T18:38:55Z",
"title_canon_sha256": "8cfbc37dbe1e03681ed7793d2201e8daf31605ecdb08b06d53c027faf25a98eb"
},
"schema_version": "1.0",
"source": {
"id": "2408.03393",
"kind": "arxiv",
"version": 2
}
}