3 papers
cs.AI2026
PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations
Sasank Annapureddy, Anjaneya Prasad Thamatani
Multi-agent federations need governance that answers three questions under adversarial conditions: who participated (identity), did they conform (enforcement), and who decides (aut…
cs.AI2026
PRIMA: Operational Patterns for Resilient Multi-Agent Research with Verifiable Identity and Convergent Feedback
Sasank Annapureddy
Operating LLMs as coordinated multi-agent research systems over multi-hour runs surfaces failure modes that single-shot evaluation cannot: upstream providers throttle without warni…
cs.AI2026
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
Sasank Annapureddy, John Mulcahy, Anjaneya Prasad Thamatani
Large language models (LLMs) and small language models (SLMs) operate under strict context window and key-value (KV) cache constraints, fundamentally limiting their ability to reas…