Pith Number
pith:7WOQGL7K
pith:2024:7WOQGL7KBHK6MDKLJC6S7IFRFK
not attested
not anchored
not stored
refs pending
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
arxiv:2403.09738 v4 · 2024-03-13 · cs.CL · cs.AI · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7WOQGL7KBHK6MDKLJC6S7IFRFK}
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 | 2026-07-05T08:00:42.190429Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd9d032fea09d5e60d4b48bd2fa0b12ab92e4bf242f49bd5ac4cbf49bd84a390
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7WOQGL7KBHK6MDKLJC6S7IFRFK \
| 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: fd9d032fea09d5e60d4b48bd2fa0b12ab92e4bf242f49bd5ac4cbf49bd84a390
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6b5460a17f4a6ddde0bb50311708a8802d824f2788182cdbf66db1bf55e6d30a",
"cross_cats_sorted": [
"cs.AI",
"cs.IR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-03-13T18:16:21Z",
"title_canon_sha256": "24507ca9cf00aabd34286e6c0f8b7dc3be2b351fb25ef7b92d8b11b73f23e2f3"
},
"schema_version": "1.0",
"source": {
"id": "2403.09738",
"kind": "arxiv",
"version": 4
}
}