Pith Number
pith:FJGE7L7Q
pith:2026:FJGE7L7QJOWTXF4LM6PFKLTRWZ
not attested
not anchored
not stored
refs pending
Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA
arxiv:2607.18725 v1 · 2026-07-21 · cs.CL · cs.AI · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FJGE7L7QJOWTXF4LM6PFKLTRWZ}
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.
Receipt and verification
| First computed | 2026-07-22T01:23:08.653118Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a4c4faff04bad3b978b679e552e71b65241e651d248d3cb1a9f38e325d37cae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FJGE7L7QJOWTXF4LM6PFKLTRWZ \
| 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: 2a4c4faff04bad3b978b679e552e71b65241e651d248d3cb1a9f38e325d37cae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "891c2ce694094ca655e9e18a027d7e51b0ca755cdc3b2f46453ea425ef6919b5",
"cross_cats_sorted": [
"cs.AI",
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-07-21T05:32:40Z",
"title_canon_sha256": "8527f5ca0264da0c303d0d83be281cfc881b24fab79d1dde168dc56710d2375e"
},
"schema_version": "1.0",
"source": {
"id": "2607.18725",
"kind": "arxiv",
"version": 1
}
}