Pith Number
pith:KL7BAXOQ
pith:2025:KL7BAXOQVIQLTUTLPCKBPVQ7AE
not attested
not anchored
not stored
refs pending
Enhancing Phishing Email Identification with Large Language Models
arxiv:2502.04759 v1 · 2025-02-07 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KL7BAXOQVIQLTUTLPCKBPVQ7AE}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:10:56.764982Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
52fe105dd0aa20b9d26b789417d61f0120e20dc6bcfc9375b46b5e4772754cda
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KL7BAXOQVIQLTUTLPCKBPVQ7AE \
| 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: 52fe105dd0aa20b9d26b789417d61f0120e20dc6bcfc9375b46b5e4772754cda
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4f76d0b23ee2cbe3a7932c26b73852917a6c8343a0eb3086461286553958992",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-02-07T08:45:50Z",
"title_canon_sha256": "d4135d9f459659f8ec1c6e13b54119dc24640852da535125e6bc5930200cb207"
},
"schema_version": "1.0",
"source": {
"id": "2502.04759",
"kind": "arxiv",
"version": 1
}
}