Author

Aritra Mazumder

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#artificial intelligence Jun 2026

Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning

It is argued that, because memory eviction in LLM agents is a fidelity problem, it requires a deployable proactive policy where the future query is unavailable and exact state is decisive, and that cheap learned relevance can be sufficient.

Nusrat Jahan Lia, Aritra Mazumder · arXiv.org · 5 citations

Jul 2026

AgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCP

AgentCheck is presented, an open-source web workbench that turns an MCP server into an intervention surface that makes tool-using LLM failure modes reproducible, comparable, and verifiable before deployment.

Aritra Mazumder, N. J. Lia · arXiv.org · 2 citations · ⚡1