Pith Number
pith:7WDWKPME
pith:2025:7WDWKPMERZYMQ4DM6MNFYVDQ7T
not attested
not anchored
not stored
refs pending
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
arxiv:2501.17273 v1 · 2025-01-28 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7WDWKPMERZYMQ4DM6MNFYVDQ7T}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:06:50.439798Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd87653d848e70c8706cf31a5c5470fcfd201779004ce9adda54762e68d8ac73
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7WDWKPMERZYMQ4DM6MNFYVDQ7T \
| 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: fd87653d848e70c8706cf31a5c5470fcfd201779004ce9adda54762e68d8ac73
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19d0cd0d5657cdd052264a46023758f4f340db6317ab5ae2c43b835b9ed4b215",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-28T20:06:09Z",
"title_canon_sha256": "59e2cc3f66a59f8f151fdfc055c269dfc76babbd91812302ce6310d4ace0eec4"
},
"schema_version": "1.0",
"source": {
"id": "2501.17273",
"kind": "arxiv",
"version": 1
}
}