Pith Number
pith:AQPEP2MI
pith:2019:AQPEP2MIYSQQ4IOLVRPCTRFPFX
not attested
not anchored
not stored
refs pending
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
arxiv:1908.08588 v1 · 2019-08-22 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQPEP2MIYSQQ4IOLVRPCTRFPFX}
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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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 | 2026-07-04T23:59:15.762150Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
041e47e988c4a10e21cbac5e29c4af2df7b5dab8dfe6f5635f5c7ebf6f83e4aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQPEP2MIYSQQ4IOLVRPCTRFPFX \
| 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: 041e47e988c4a10e21cbac5e29c4af2df7b5dab8dfe6f5635f5c7ebf6f83e4aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84fa1cde4fcc1a03beaebf22b0986e98805c5e6919855361d8ea14b50a3b2705",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-08-22T20:32:01Z",
"title_canon_sha256": "eb5973f14bbe4fe409a2cc5a14a26277b6330e60886a0758ea06c41651f3affe"
},
"schema_version": "1.0",
"source": {
"id": "1908.08588",
"kind": "arxiv",
"version": 1
}
}