Pith Number
pith:UEHFM4V5
pith:2025:UEHFM4V5BEW3BC7THKMQGVH3ZO
not attested
not anchored
not stored
refs pending
Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study
arxiv:2506.23107 v1 · 2025-06-29 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UEHFM4V5BEW3BC7THKMQGVH3ZO}
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.
Receipt and verification
| First computed | 2026-07-05T11:29:15.560869Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a10e5672bd092db08bf33a990354fbcbb1d3f8c7c606ee6413190385f374ee7b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UEHFM4V5BEW3BC7THKMQGVH3ZO \
| 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: a10e5672bd092db08bf33a990354fbcbb1d3f8c7c606ee6413190385f374ee7b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5df6bfd2057470bdc2ff63fbb7402f99e816a272f5178dd413bf062a7093d598",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-06-29T06:16:57Z",
"title_canon_sha256": "3fcf3985beda6d63a5784fd2d7e49274c4860d58fec3cfe9d0ee00ec6dd4dee9"
},
"schema_version": "1.0",
"source": {
"id": "2506.23107",
"kind": "arxiv",
"version": 1
}
}