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Sasank Annapureddy

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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

A four-phase research program on this consolidation problem whose central finding is a shift in what is measured is a shift in what is measured: from how much an agent remembers, to whether its consolidation decisions are any good, to whether those decisions can be trusted.

Sasank Annapureddy, Anjaneya Prasad Thamatani · 1 citation
#artificial intelligence Preprint Sep 2026

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

PRIMUS, which couples prime-power identity with BLS aggregate signatures (PIAC), derives a safe-kill threshold that reduces false-positive agent termination from 80% to 0.00% under 10% channel noise, gives the closed-form economic boundary where singleton governance outperforms Byzantine quorum, and specifies VRF succe...

Sasank Annapureddy, Anjaneya Prasad Thamatani · 0 citations

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