Pith Number
pith:UIHQ27VL
pith:2025:UIHQ27VLSXLKYMSB3MU4DVFNZ5
not attested
not anchored
not stored
refs pending
Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models
arxiv:2506.06180 v1 · 2025-06-06 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UIHQ27VLSXLKYMSB3MU4DVFNZ5}
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 | 2026-07-05T11:17:27.021657Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a20f0d7eab95d6ac3241db29c1d4adcf7dee24168d6906665f10cd077e73ad10
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UIHQ27VLSXLKYMSB3MU4DVFNZ5 \
| 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: a20f0d7eab95d6ac3241db29c1d4adcf7dee24168d6906665f10cd077e73ad10
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "83e46869655e8a9c503246614cc176ca2b4586891d0ae953e41d0975792cad2a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-06-06T15:44:12Z",
"title_canon_sha256": "645e2a0c5170b0e3f6a741eade28a4fc0adad75ec5b8f5cbf5941747c68cada1"
},
"schema_version": "1.0",
"source": {
"id": "2506.06180",
"kind": "arxiv",
"version": 1
}
}