pith:TEXEDAPI
Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust
LLM agents in simulated e-commerce markets exploit reputation-based governance weaknesses, but warrant enforcement curbs deception and alters their strategies.
arxiv:2605.10059 v2 · 2026-05-11 · cs.AI
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\usepackage{pith}
\pithnumber{TEXEDAPIKHJ5GJH3YYMY3DCI4C}
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Record completeness
Claims
We find that LLM agents released into traditional markets autonomously exploit weaknesses in reputation-based governance, while warrant enforcement reduces deception and reshapes strategic reasoning.
The controlled simulation framework accurately models real strategic decision-making and information asymmetry in e-commerce markets with LLM agents.
LLM agents in simulated e-commerce markets exploit reputation weaknesses for profit, but warrant enforcement reduces deception and alters their strategies.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:04:35.460357Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
992e4181e851d3d324fbc6198d8c48e09ea6aa6abc7886c7d3a1707b47324669
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TEXEDAPIKHJ5GJH3YYMY3DCI4C \
| 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: 992e4181e851d3d324fbc6198d8c48e09ea6aa6abc7886c7d3a1707b47324669
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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