Pith Number
pith:WJC2GUM4
pith:2020:WJC2GUM4M7CKWIRQIINYPLSQ3T
not attested
not anchored
not stored
refs pending
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
arxiv:2009.04160 v1 · 2020-09-09 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WJC2GUM4M7CKWIRQIINYPLSQ3T}
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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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 | 2026-07-05T01:34:15.369684Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b245a3519c67c4ab2230421b87ae50dce66993cd3b29b5d7da47c2c36e8fc133
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WJC2GUM4M7CKWIRQIINYPLSQ3T \
| 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: b245a3519c67c4ab2230421b87ae50dce66993cd3b29b5d7da47c2c36e8fc133
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3453bda4aab81bf73c9f47ba8613b0c673654c4cf7bcf38f41c72350a7475850",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-09-09T08:34:18Z",
"title_canon_sha256": "40b586afc69c6c8395c30a4a7e269651b21c844f3d0733d72bb9ebbaaa6abfc2"
},
"schema_version": "1.0",
"source": {
"id": "2009.04160",
"kind": "arxiv",
"version": 1
}
}