Pith Number
pith:JZUTLVOC
pith:2024:JZUTLVOCBMZ4UR5IVX7M24FJKC
not attested
not anchored
not stored
refs pending
PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models
arxiv:2404.00930 v1 · 2024-04-01 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JZUTLVOCBMZ4UR5IVX7M24FJKC}
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 | 2026-07-05T08:02:58.875347Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e6935d5c20b33ca47a8adfecd70a950bbf43a5f0ac06c7489473a075c8222aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JZUTLVOCBMZ4UR5IVX7M24FJKC \
| 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: 4e6935d5c20b33ca47a8adfecd70a950bbf43a5f0ac06c7489473a075c8222aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cec37c2452bb502589a2983b4eb727c6e1cd4d83f857b7d9eff75b0b9f7f9816",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-04-01T05:19:34Z",
"title_canon_sha256": "5c1ac2aa2d6d9a8b31d3babc29636d835e3c08b765aa72a0dd7047a276795412"
},
"schema_version": "1.0",
"source": {
"id": "2404.00930",
"kind": "arxiv",
"version": 1
}
}