Pith Number
pith:YHMB7MTJ
pith:2025:YHMB7MTJNFA75C2RDRXH2HCNBY
not attested
not anchored
not stored
refs pending
How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow
arxiv:2507.10818 v1 · 2025-07-14 · cs.SE · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YHMB7MTJNFA75C2RDRXH2HCNBY}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:49:57.057616Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1d81fb2696941fe8b511c6e7d1c4d0e117033c04eab77e3a4383b11cbf6b5c4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YHMB7MTJNFA75C2RDRXH2HCNBY \
| 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: c1d81fb2696941fe8b511c6e7d1c4d0e117033c04eab77e3a4383b11cbf6b5c4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3eb034a46dc43709ceb251f980a18c5866e85eeb4056b867d98d67150d2e8768",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2025-07-14T21:35:29Z",
"title_canon_sha256": "2e6336b3cec304d98f04deeefbe5d2f2725ebfc00eee3a15b88872b6da747520"
},
"schema_version": "1.0",
"source": {
"id": "2507.10818",
"kind": "arxiv",
"version": 1
}
}