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Anjaneya Prasad Thamatani

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#artificial intelligence Preprint Sep 2026

The Epistemics of Agent Memory: Measuring, and Governing, the Consolidation Decision in Long-Horizon LLM Agents

Long-horizon LLM agents must convert accumulated experience into durable memory, deciding what to keep, compress, abstract into reusable skills and rules, or forget. We report a four-phase research program on this consolidation problem whose central finding is a shift in what is measured: from how much an agent remembe...

Sasank Annapureddy, Anjaneya Prasad Thamatani · 0 citations
#artificial intelligence Preprint Sep 2026

PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations

Multi-agent federations need governance that answers three questions under adversarial conditions: who participated (identity), did they conform (enforcement), and who decides (authority). A separate question is whether the verification machinery that polices a federation's outputs can also steer a generate-and-test lo...

Sasank Annapureddy, Anjaneya Prasad Thamatani · 0 citations

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