Pith Number
pith:2ZKJYJY7
pith:2022:2ZKJYJY7QE3OB2VKLSCNV7JIKG
not attested
not anchored
not stored
refs pending
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
arxiv:2208.10264 v5 · 2022-08-18 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2ZKJYJY7QE3OB2VKLSCNV7JIKG}
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 | 2026-07-05T06:28:55.449949Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d6549c271f8136e0eaaa5c84dafd2851a4c4206f7dd71a4d947535cd2de8ee7b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ZKJYJY7QE3OB2VKLSCNV7JIKG \
| 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: d6549c271f8136e0eaaa5c84dafd2851a4c4206f7dd71a4d947535cd2de8ee7b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "79396852b20699ae42cda018a62eac4c1b2c6d2431a89c05d8bae7291dbc7095",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-08-18T17:54:49Z",
"title_canon_sha256": "82c4862018f37507422e0ddbdadadef6a0af960c0eae5f89dd01fac37214a172"
},
"schema_version": "1.0",
"source": {
"id": "2208.10264",
"kind": "arxiv",
"version": 5
}
}