Pith Number
pith:BUHWLJJY
pith:2025:BUHWLJJYSQHJH74QBLJH3ILPXA
not attested
not anchored
not stored
refs pending
From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection
arxiv:2512.10485 v2 · 2025-12-11 · cs.CR · cs.LG · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BUHWLJJYSQHJH74QBLJH3ILPXA}
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 | 2026-07-03T01:17:15.582365Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d0f65a538940e93ff900ad27da16fb8075e171c5a0d422825946b39b61a44ac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BUHWLJJYSQHJH74QBLJH3ILPXA \
| 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: 0d0f65a538940e93ff900ad27da16fb8075e171c5a0d422825946b39b61a44ac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "124b65a6935e186e874cfc40982aa3bd0850d34f61c6db1665cffab6e8daa638",
"cross_cats_sorted": [
"cs.LG",
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-12-11T10:04:54Z",
"title_canon_sha256": "0765a92f4f4cde994ee21077e6b768b0d7c2ad21f67a6de81792f1a34464a6df"
},
"schema_version": "1.0",
"source": {
"id": "2512.10485",
"kind": "arxiv",
"version": 2
}
}