Pith Number
pith:LK5Z2IZO
pith:2023:LK5Z2IZOYV3NGFDE7KP7KMA7D4
not attested
not anchored
not stored
refs pending
High Accuracy and Cost-Saving Active Learning 3D WD-UNet for Airway Segmentation
arxiv:2310.05638 v1 · 2023-10-09 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LK5Z2IZOYV3NGFDE7KP7KMA7D4}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T06:58:47.956099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5abb9d232ec576d31464fa9ff5301f1f09581894929efc49e2b25f715bc6b90d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LK5Z2IZOYV3NGFDE7KP7KMA7D4 \
| 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: 5abb9d232ec576d31464fa9ff5301f1f09581894929efc49e2b25f715bc6b90d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e719d261e261bcfabbbd56e4cff704c6895ce7178560b05426649361346e52a9",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-10-09T11:50:52Z",
"title_canon_sha256": "179ecaf00caced8d0214b5557a1dc668be20eddc797cf4b0183800a3737c3052"
},
"schema_version": "1.0",
"source": {
"id": "2310.05638",
"kind": "arxiv",
"version": 1
}
}