The Provenance Paradox in Multi-Agent LLM Routing: Delegation Contracts and Attested Identity in LDP
Sunil Prakash

TL;DR
This paper identifies a paradox in multi-agent LLM routing where self-reported quality scores lead to worse task delegation, and proposes an extended protocol with verified identity and contracts to improve routing reliability.
Contribution
It introduces delegation contracts, a claimed-vs-attested identity model, and typed failure semantics to address the provenance paradox in LLM routing protocols.
Findings
Self-claimed quality routing performs worse than random.
Attested quality routing achieves near-optimal performance.
The paradox reliably appears with dishonest delegates.
Abstract
Multi-agent LLM systems delegate tasks across trust boundaries, but current protocols do not govern delegation under unverifiable quality claims. We show that when delegates can inflate self-reported quality scores, quality-based routing produces a provenance paradox: it systematically selects the worst delegates, performing worse than random. We extend the LLM Delegate Protocol (LDP) with delegation contracts that bound authority through explicit objectives, budgets, and failure policies; a claimed-vs-attested identity model that distinguishes self-reported from verified quality; and typed failure semantics enabling automated recovery. In controlled experiments with 10 simulated delegates and validated with real Claude models, routing by self-claimed quality scores performs worse than random selection (simulated: 0.55 vs. 0.68; real models: 8.90 vs. 9.30), while attested routing…
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Taxonomy
TopicsScientific Computing and Data Management · Blockchain Technology Applications and Security · Mobile Crowdsensing and Crowdsourcing
