Pith Number
pith:5PJOE3OJ
pith:2024:5PJOE3OJOYEIXGL6LRLJQW7VFK
not attested
not anchored
not stored
refs pending
How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study
arxiv:2412.18989 v2 · 2024-12-25 · cs.SE · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5PJOE3OJOYEIXGL6LRLJQW7VFK}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:02:56.770135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ebd2e26dc976088b997e5c56985bf52aabf13cb7fe5b1b75b4ab9ac020f4c8e4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5PJOE3OJOYEIXGL6LRLJQW7VFK \
| 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: ebd2e26dc976088b997e5c56985bf52aabf13cb7fe5b1b75b4ab9ac020f4c8e4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "55d970132df2daa2d277de841810157cec090f5d5de4fe4cef861453898e174a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2024-12-25T21:56:35Z",
"title_canon_sha256": "926c431e8b290fece088f12386f64301b1a468d18616fa29d0da02b1d56065bb"
},
"schema_version": "1.0",
"source": {
"id": "2412.18989",
"kind": "arxiv",
"version": 2
}
}