Pith Number
pith:N3CFTQNV
pith:2023:N3CFTQNVLE6FOULSSQAUJNXNED
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refs pending
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation
arxiv:2302.02289 v1 · 2023-02-05 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N3CFTQNVLE6FOULSSQAUJNXNED}
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Record completeness
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Bitcoin timestamp
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4
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.
Receipt and verification
| First computed | 2026-07-05T05:38:51.415260Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ec459c1b5593c575172940144b6ed20c0ee42b551ad6a714742f84afa3a1b7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N3CFTQNVLE6FOULSSQAUJNXNED \
| 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: 6ec459c1b5593c575172940144b6ed20c0ee42b551ad6a714742f84afa3a1b7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d8415f5fd70a2e5cea63027fec3d43a45d28f746c00a918e503d52eea213c621",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-02-05T03:49:27Z",
"title_canon_sha256": "b7fa42a10504a244c3e187af8729a7d7d317ce4fd483a7c5d12961ae6848b2c7"
},
"schema_version": "1.0",
"source": {
"id": "2302.02289",
"kind": "arxiv",
"version": 1
}
}