Pith Number
pith:6OOE7FFO
pith:2026:6OOE7FFOO3KSIHUYPESRZFFDDW
not attested
not anchored
not stored
refs pending
Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
arxiv:2605.31275 v1 · 2026-05-29 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6OOE7FFOO3KSIHUYPESRZFFDDW}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-06-01T01:04:08.293771Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f39c4f94ae76d5241e9879251c94a31d93222db2898cd14a5a876153fc447f98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6OOE7FFOO3KSIHUYPESRZFFDDW \
| 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: f39c4f94ae76d5241e9879251c94a31d93222db2898cd14a5a876153fc447f98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "73f33a338ed37202f1dacc2c76b560d0de5b6d64499124c7c80c66f5655675e7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2026-05-29T13:07:03Z",
"title_canon_sha256": "65bbc8b206fb8869c3391e92542fed8fd279482be5dbe6c2323492ad0f10b809"
},
"schema_version": "1.0",
"source": {
"id": "2605.31275",
"kind": "arxiv",
"version": 1
}
}