Pith Number
pith:IPNQQULE
pith:2025:IPNQQULE5N4SZC2ZF4PNVWDZOA
not attested
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not stored
refs pending
The Impact of Generative AI on Code Expertise Models: An Exploratory Study
arxiv:2507.08160 v1 · 2025-07-10 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IPNQQULE5N4SZC2ZF4PNVWDZOA}
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 | 2026-07-05T11:35:18.123545Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43db085164eb792c8b592f1edad8797026b62f2aaa6f0753c40c0f11e94080a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPNQQULE5N4SZC2ZF4PNVWDZOA \
| 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: 43db085164eb792c8b592f1edad8797026b62f2aaa6f0753c40c0f11e94080a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "51a6ccb5da573a0cc64fb7ad1556e59c4047b7a60b0913b1741b3f900e5d8a29",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2025-07-10T20:43:08Z",
"title_canon_sha256": "749e471eaa056363afb3520c8c838191e8d2a6a087fba76a8768b58e5b7411bb"
},
"schema_version": "1.0",
"source": {
"id": "2507.08160",
"kind": "arxiv",
"version": 1
}
}