Pith Number
pith:E7P5SMS7
pith:2025:E7P5SMS7QY2EFZP3TND3ARBWU3
not attested
not anchored
not stored
refs pending
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?
arxiv:2501.13955 v1 · 2025-01-20 · cs.CL · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E7P5SMS7QY2EFZP3TND3ARBWU3}
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.
Receipt and verification
| First computed | 2026-06-26T00:15:21.878930Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
27dfd9325f863442e5fb9b47b04436a6eb43e3e90cb9afbcdefc83249b500690
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E7P5SMS7QY2EFZP3TND3ARBWU3 \
| 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: 27dfd9325f863442e5fb9b47b04436a6eb43e3e90cb9afbcdefc83249b500690
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5ecec0a1e04ca0ffa60942b9b891f3f69939f4b218a6381c97b9e46f051aa3c4",
"cross_cats_sorted": [
"cs.AI",
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-20T15:11:03Z",
"title_canon_sha256": "4e20d00c7586924dd0d76c3c4107a2e83b88baf5057610fb53cf5041fd8f4e9f"
},
"schema_version": "1.0",
"source": {
"id": "2501.13955",
"kind": "arxiv",
"version": 1
}
}