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Pith Number

pith:7EYQWQWC

pith:2017:7EYQWQWCUKWQQG2PY4ID2HKDJN
not attested not anchored not stored refs pending

Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data

Alzheimer's disease Neuroimaging Initiative, Murat Seckin Ayhan, Vijay Raghavan

arxiv:1706.00856 v1 · 2017-06-02 · cs.LG · q-bio.NC · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7EYQWQWCUKWQQG2PY4ID2HKDJN}

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 2026-05-18T00:43:07.682440Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f9310b42c2a2ad081b4fc7103d1d434b4d179d626d6ae2512ddb1f6039b78e95

Aliases

arxiv: 1706.00856 · arxiv_version: 1706.00856v1 · doi: 10.48550/arxiv.1706.00856 · pith_short_12: 7EYQWQWCUKWQ · pith_short_16: 7EYQWQWCUKWQQG2P · pith_short_8: 7EYQWQWC
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7EYQWQWCUKWQQG2PY4ID2HKDJN \
  | 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: f9310b42c2a2ad081b4fc7103d1d434b4d179d626d6ae2512ddb1f6039b78e95
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9070d1670cdbc33300e97c3ffcb1868dc973545b764c1c458a8ec151238b1fa9",
    "cross_cats_sorted": [
      "q-bio.NC",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-06-02T21:16:50Z",
    "title_canon_sha256": "0dfe3166966f20d03c55ff8c71bb8248249bb10d5442cc78df1a936b608975f7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1706.00856",
    "kind": "arxiv",
    "version": 1
  }
}