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Pith Number

pith:JG4A3YQD

pith:2018:JG4A3YQDMFPVGYSUE3H5RSCEIN
not attested not anchored not stored refs pending

SAFE: A Neural Survival Analysis Model for Fraud Early Detection

Panpan Zheng, Shuhan Yuan, Xintao Wu

arxiv:1809.04683 v2 · 2018-09-12 · cs.LG · cs.AI · cs.CR · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JG4A3YQDMFPVGYSUE3H5RSCEIN}

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 2026-05-18T00:00:43.048383Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

49b80de203615f53625426cfd8c8444368edcb7a1419536b7bfa6a25ca54505b

Aliases

arxiv: 1809.04683 · arxiv_version: 1809.04683v2 · doi: 10.48550/arxiv.1809.04683 · pith_short_12: JG4A3YQDMFPV · pith_short_16: JG4A3YQDMFPVGYSU · pith_short_8: JG4A3YQD
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JG4A3YQDMFPVGYSUE3H5RSCEIN \
  | 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: 49b80de203615f53625426cfd8c8444368edcb7a1419536b7bfa6a25ca54505b
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "302f2fb30e7544ba3dd350c4486001fadbdaa379dc9990ad4c18e6b460c9ca48",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CR",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-09-12T21:28:26Z",
    "title_canon_sha256": "5699c0f920aa5d9af50bf444cd356d760a14923204ff9ced5128a3e6184ee595"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1809.04683",
    "kind": "arxiv",
    "version": 2
  }
}