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
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
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claim
4
Citations
5
Replications
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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
· · · · ·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
}
}