Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents

TL;DR - A multi-agent LLM framework that simulates political coalition negotiations, combining fine-tuning and retrieval to keep agents both partisan and factually grounded, offering a transparent testbed for exploring party compatibility and compromise.

• Reconciles ideological alignment with factual grounding by pairing DPO (for aggressive party-specific personas) with a per-party RAG pipeline that binds each agent to its official manifesto, countering RLHF neutrality bias.
• Operationalized on the 2019 Flemish election as a hub-and-spoke negotiation arbitrated by a "formateur" agent.
• Introduces interpretability tooling: a Multi-Layered Information Lineage Topology (MILT) tracing each agreement clause to its manifesto origin across five provenance states, plus a Coalition Influence Score (CIS) aggregating each party's contributions.
• Across three simulations it produced a stable ranking (N-VA ahead of CD&V and Open Vld); manifesto-anchored lineage reliably predicted real-world adoption while hallucinated content did not.