Pith Number
pith:F34GPOTE
pith:2023:F34GPOTEFR6ICB4EKCWV7ZBJKD
not attested
not anchored
not stored
refs pending
How Effective are Large Language Models in Generating Software Specifications?
arxiv:2306.03324 v3 · 2023-06-06 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F34GPOTEFR6ICB4EKCWV7ZBJKD}
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
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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 | 2026-07-05T10:11:12.902619Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2ef867ba642c7c81078450ad5fe42950f57b9976ba802237312ffefd0cc5ebb1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F34GPOTEFR6ICB4EKCWV7ZBJKD \
| 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: 2ef867ba642c7c81078450ad5fe42950f57b9976ba802237312ffefd0cc5ebb1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f661d34a64fe4b126cf8fe945a27494a9c1ceff4b7b8131d08241bbc8380984",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2023-06-06T00:28:39Z",
"title_canon_sha256": "03d7d5cdb84d58c893398d8aecf07842f14d38802ea2b9c561eaa123deaa5bfa"
},
"schema_version": "1.0",
"source": {
"id": "2306.03324",
"kind": "arxiv",
"version": 3
}
}