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Pith Number

pith:7SWWB6U4

pith:2017:7SWWB6U4KRJZHL3MUSW2B4SJIJ
not attested not anchored not stored refs pending

Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion

Hongxia Hao, Jing Wang, Michael Folkert, Shulong Li, Xi Chen, You Zhang, Zhiguo Zhou, Zhi-Jie Zhou

arxiv:1710.01614 v2 · 2017-10-04 · cs.LG · physics.med-ph · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7SWWB6U4KRJZHL3MUSW2B4SJIJ}

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 2026-05-18T00:33:34.394544Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fcad60fa9c545393af6ca4ada0f2494244a40281d551262cb0da912a7dd2a8ad

Aliases

arxiv: 1710.01614 · arxiv_version: 1710.01614v2 · doi: 10.48550/arxiv.1710.01614 · pith_short_12: 7SWWB6U4KRJZ · pith_short_16: 7SWWB6U4KRJZHL3M · pith_short_8: 7SWWB6U4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7SWWB6U4KRJZHL3MUSW2B4SJIJ \
  | 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: fcad60fa9c545393af6ca4ada0f2494244a40281d551262cb0da912a7dd2a8ad
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4a35f997d876e00b50f63d82e6c3f2282c7b72a51d0305f4f0d030302605fe32",
    "cross_cats_sorted": [
      "physics.med-ph",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-10-04T14:23:04Z",
    "title_canon_sha256": "297ffac5915595f6ecad64e1969ed9a294d7ca5c50f99a250e6171839ce08bce"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.01614",
    "kind": "arxiv",
    "version": 2
  }
}