Pith Number
pith:ALGIXYRR
pith:2018:ALGIXYRRR72GK5JP5ZPNLY7ZBB
not attested
not anchored
not stored
refs pending
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study
arxiv:1803.05471 v1 · 2018-03-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ALGIXYRRR72GK5JP5ZPNLY7ZBB}
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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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 | 2026-05-18T00:20:55.372267Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
02cc8be2318ff465752fee5ed5e3f908761d681d3327fe9f374eb7e921f6130c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ALGIXYRRR72GK5JP5ZPNLY7ZBB \
| 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: 02cc8be2318ff465752fee5ed5e3f908761d681d3327fe9f374eb7e921f6130c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "edc7ea83eab8dcc655d09a876c9b3edc59e9bed89e63c6f9a44363a5611aa87e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-14T18:46:17Z",
"title_canon_sha256": "f97e66af759794c906f38890c7778a4446189029b72a01ac1a271fa0081356b9"
},
"schema_version": "1.0",
"source": {
"id": "1803.05471",
"kind": "arxiv",
"version": 1
}
}