pith. sign in
Pith Number

pith:CLJWA2Q7

pith:2017:CLJWA2Q7AHRQ5D7TCWLM62T3LI
not attested not anchored not stored refs pending

Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer

Jiang Hui, O.Alienin, O. Rokovyi, Peng Gang, S. Stirenko, Wei Zeng, Yu.Gordienko, Yu.Kochura

arxiv:1712.07632 v1 · 2017-12-20 · cs.LG · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CLJWA2Q7AHRQ5D7TCWLM62T3LI}

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 open · sign in to claim
4 Citations open
5 Replications open
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 2026-05-18T00:00:22.162139Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

12d3606a1f01e30e8ff31596cf6a7b5a062f4002e8b6aeb04cca612c80075f90

Aliases

arxiv: 1712.07632 · arxiv_version: 1712.07632v1 · doi: 10.48550/arxiv.1712.07632 · pith_short_12: CLJWA2Q7AHRQ · pith_short_16: CLJWA2Q7AHRQ5D7T · pith_short_8: CLJWA2Q7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CLJWA2Q7AHRQ5D7TCWLM62T3LI \
  | 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: 12d3606a1f01e30e8ff31596cf6a7b5a062f4002e8b6aeb04cca612c80075f90
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d889579eca03ff13bf2af44e8516ee9ab02b6992dc6b15bc6121c6d6ff626a5f",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-12-20T18:40:49Z",
    "title_canon_sha256": "e667ec29f97a8a9c3165d9e9785c2cc3959829d87d76ec73221bb51e07cc6b6a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1712.07632",
    "kind": "arxiv",
    "version": 1
  }
}