Pith Number
pith:BL3QZIKO
pith:2025:BL3QZIKOIJDH2UXYTDL2GYCBI7
not attested
not anchored
not stored
refs pending
Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning
arxiv:2503.18841 v1 · 2025-03-24 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BL3QZIKOIJDH2UXYTDL2GYCBI7}
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 | 2026-07-05T10:38:27.334894Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0af70ca14e42467d52f898d7a3604147d9130e890b6b7285b22e6d74b62e8bed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BL3QZIKOIJDH2UXYTDL2GYCBI7 \
| 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: 0af70ca14e42467d52f898d7a3604147d9130e890b6b7285b22e6d74b62e8bed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4984b40c658c9f5c824eab0e2e4a975041731b20e38d33c8e892383c577f7259",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-24T16:14:16Z",
"title_canon_sha256": "a3c10f0e2f415c773049d741b6a5d3d3c984ea32cb96ef38246e28baf3c002cb"
},
"schema_version": "1.0",
"source": {
"id": "2503.18841",
"kind": "arxiv",
"version": 1
}
}