pith. sign in
Pith Number

pith:GWNQHAS3

pith:2017:GWNQHAS3NJUL6ABPW4WQMPQLB5
not attested not anchored not stored refs pending

Personalized Pancreatic Tumor Growth Prediction via Group Learning

Electron Kebebew, Jianhua Yao, Le Lu, Ling Zhang, Ronald M. Summers

arxiv:1706.00493 v1 · 2017-06-01 · cs.CV · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GWNQHAS3NJUL6ABPW4WQMPQLB5}

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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 2026-05-18T00:43:13.674305Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

359b03825b6a68bf002fb72d063e0b0f7938096fdd5f6ce4d3ffa4aa30784356

Aliases

arxiv: 1706.00493 · arxiv_version: 1706.00493v1 · doi: 10.48550/arxiv.1706.00493 · pith_short_12: GWNQHAS3NJUL · pith_short_16: GWNQHAS3NJUL6ABP · pith_short_8: GWNQHAS3
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GWNQHAS3NJUL6ABPW4WQMPQLB5 \
  | 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: 359b03825b6a68bf002fb72d063e0b0f7938096fdd5f6ce4d3ffa4aa30784356
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "dc81734d1aa5900e90cbae7f5d4fa5287ea38939de2f282b018d2edc52dc30c8",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-06-01T20:57:53Z",
    "title_canon_sha256": "be578a6b47c29e142e287e857a5172561efe967eb84b008d769c3eb1800f9d92"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1706.00493",
    "kind": "arxiv",
    "version": 1
  }
}