Pith Number
pith:K5ERPJLN
pith:2025:K5ERPJLNZPISKEPVNPLFB2SO7W
not attested
not anchored
not stored
refs pending
Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity
arxiv:2507.00657 v1 · 2025-07-01 · cs.HC · cs.AI · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K5ERPJLNZPISKEPVNPLFB2SO7W}
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 | 2026-07-05T11:30:12.458105Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
574917a56dcbd12511f56bd650ea4efd9da7c2faf056c65fbb91d7c6959c4a9a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K5ERPJLNZPISKEPVNPLFB2SO7W \
| 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: 574917a56dcbd12511f56bd650ea4efd9da7c2faf056c65fbb91d7c6959c4a9a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "984b068b8071160012e52b5ff378a92a814a1b3abde4c675e3e008ba3816ee40",
"cross_cats_sorted": [
"cs.AI",
"cs.SI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-07-01T10:54:51Z",
"title_canon_sha256": "00afbe5ab7cc4537aad4956630a4a9b6349002c3c18acd327a1e7fcbedf6ba3d"
},
"schema_version": "1.0",
"source": {
"id": "2507.00657",
"kind": "arxiv",
"version": 1
}
}