Can Agents Identify Their Peers? Mid-Game Model Swaps in Iterated Social Dilemmas
Geofrey Njoroge Kamau · Team Geofrey
Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
AI Collusion Research Sprint (Apart Research, Oct 23-25 2026) — Track 3, Question 3.3: Can agents identify when a peer has been replaced mid-game? Testing whether LLM agents detect mid-run model swaps in repeated social dilemmas, using open-source models (Qwen, Mistral, Llama) served via vLLM on Modal GPUs. Building on the LLM-Trust-Breaking framework (Shi et al. 2026).
Reviews
This project presents a focused approach to studying peer recognition through mid-game model replacement. Preserving the peer’s visible identity and interaction history is a useful design choice, and the sham and same-model comparisons help contextualize the cross-family results. The cooperation trajectories make the observed differences easy to understand, while reporting the absence of explicit detection is valuable.
The main improvement would be to distinguish behavioral change from detection more carefully. A replacement model behaving differently does not by itself show that the observer recognized the replacement; changes in the observer’s cooperation could reflect ordinary responses to its partner’s actions. Similarly, high-confidence detection by an external monitor remains a hypothesis until such a monitor is evaluated.
A useful next step is to repeat the comparisons across more games, vary the swap point, and test a simple detector on held-out interactions. Clarifying what changes operationally in the fresh-instance condition and aligning the round numbering across methods and figures would also strengthen the report. Overall, this is a promising exploratory study that provides a concrete foundation for further investigation.
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Cite this project
@misc{kamau2026agents,
title = {{Can Agents Identify Their Peers? Mid-Game Model Swaps in Iterated Social Dilemmas}},
author = {Geofrey Njoroge Kamau},
year = {2026},
month = oct,
note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/collusionpeerswap33-1gy2}},
url = {https://apartresearch.com/sprints/projects/collusionpeerswap33-1gy2}
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