Pith Number
pith:RMC4HRH7
pith:2026:RMC4HRH7HXL2QPXAF5P2X3PXBN
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not stored
refs pending
Measuring and Evaluating the Performance of Generative AI Models for Scam Detection
arxiv:2607.17353 v1 · 2026-07-19 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RMC4HRH7HXL2QPXAF5P2X3PXBN}
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
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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 | 2026-07-21T01:21:29.301906Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8b05c3c4ff3dd7a83ee02f5fabedf70b61f383cd71759536dee1affd8a5c3a19
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RMC4HRH7HXL2QPXAF5P2X3PXBN \
| 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: 8b05c3c4ff3dd7a83ee02f5fabedf70b61f383cd71759536dee1affd8a5c3a19
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b5f4a5925f40332e64f18265694386c05f32585bbda20849d61ad4f0e7f9067",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2026-07-19T17:28:36Z",
"title_canon_sha256": "8a2ebc06912c0b2b43134412220aae9d8bebe450c0453b34e22830b6b7ccf8ef"
},
"schema_version": "1.0",
"source": {
"id": "2607.17353",
"kind": "arxiv",
"version": 1
}
}