Pith Number
pith:H7YNKCY4
pith:2019:H7YNKCY4LOWY5VOXSDOMYPNA7V
not attested
not anchored
not stored
refs pending
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
arxiv:1908.10454 v2 · 2019-08-27 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H7YNKCY4LOWY5VOXSDOMYPNA7V}
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
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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 | 2026-07-05T00:40:14.227301Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3ff0d50b1c5bad8ed5d790dccc3da0fd7bc7f9a4c90afbc4103de04b4593c694
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H7YNKCY4LOWY5VOXSDOMYPNA7V \
| 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: 3ff0d50b1c5bad8ed5d790dccc3da0fd7bc7f9a4c90afbc4103de04b4593c694
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3e7cb616d3cfc3974727cc620577c12a2df8b153b101946415d1cadc8ebecff",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-08-27T20:25:52Z",
"title_canon_sha256": "3b8e67c4f3d35caad9219334f8ed6d9e56511e3b6f042522678b98a4fbb8f7fa"
},
"schema_version": "1.0",
"source": {
"id": "1908.10454",
"kind": "arxiv",
"version": 2
}
}