Pith Number
pith:FW37R3DX
pith:2025:FW37R3DX2CM4CFCRCKMG3OA35J
not attested
not anchored
not stored
refs pending
Can LLMs Generate User Stories and Assess Their Quality?
arxiv:2507.15157 v1 · 2025-07-20 · cs.SE · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FW37R3DX2CM4CFCRCKMG3OA35J}
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 | 2026-07-05T11:40:19.407058Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2db7f8ec77d099c1145112986db81bea401eb196bc8ebccf65a2aaab6160d797
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FW37R3DX2CM4CFCRCKMG3OA35J \
| 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: 2db7f8ec77d099c1145112986db81bea401eb196bc8ebccf65a2aaab6160d797
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a31ec226ccdae3ac323e31d1ec1e325d003ad91ecd35249453f1cac7998ca910",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2025-07-20T23:37:43Z",
"title_canon_sha256": "c9a9a9e4cb837c02ba968850413f1b961fd774ac7a3418ec139ee98540b95268"
},
"schema_version": "1.0",
"source": {
"id": "2507.15157",
"kind": "arxiv",
"version": 1
}
}