Memory-Grounded Social Dynamics in Repeated LLM Agent Simulations: Dialogue-Only Transcript Supplement and Behavioral Evaluation Artifacts

This record contains supplementary research artifacts for the preliminary behavioral evaluation report “Memory-Grounded Social Dynamics in Repeated LLM Agent Simulations”.

The uploaded materials support qualitative inspection of repeated multi-agent LLM simulation outputs without disclosing the proprietary system architecture. The main supplement is a dialogue-only by-tick transcript package containing 70 full-batch main runs across seven model families and 6 diagnostic Gemini 3.1 runs. Transcripts are rendered as tick-level action/dialogue records and intentionally exclude prompts, hidden system instructions, memory-routing internals, parser rules, scoring thresholds, and proprietary implementation details.

The purpose of this record is behavioral review rather than code-level reproducibility. The files allow readers to inspect generated scene behavior, action status, actor/target structure, public consequence text, and run-level coverage while preserving the closed-source nature of the simulation system.

The associated report does not claim that agents are conscious, possess real inner lives, or exhibit proven identity transformation. The narrower claim is that persistent memory combined with social context can produce measurable, trajectory-sensitive social mechanisms across repeated LLM simulations, with outcomes and behavioral textures varying by model family.