3 citations · 3 across the 8 of their papers we have counts for
8 papers
Deployment Decision Reliability: A Generalizability-Theory Framework for Sizing Long-Horizon Agent Evaluations
Vasundra Srinivasan
Enterprise practitioners read agent leaderboards as if they ranked agent capability. We show, across three open agent-trace benchmarks (TheAgentCompany, -bench, and AppWorld),…
A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
Vasundra Srinivasan
Production LLM agents combine stochastic model outputs with deterministic software systems, yet the boundary between the two is rarely treated as a first-class architectural object…
Stateless Decision Memory for Enterprise AI Agents
Vasundra Srinivasan
Enterprise deployment of long-horizon decision agents in regulated domains (underwriting, claims adjudication, tax examination) is dominated by retrieval-augmented pipelines despit…
Modality-Native Routing in Agent-to-Agent Networks: A Multimodal A2A Protocol Extension
Vasundra Srinivasan
Preserving multimodal signals across agent boundaries is necessary for accurate cross-modal reasoning, but it is not sufficient. We show that modality-native routing in Agent-to-Ag…
Good Scores, Bad Data: A Metric for Multimodal Coherence
Vasundra Srinivasan
Multimodal AI systems are evaluated by downstream task accuracy, but high accuracy does not mean the underlying data is coherent. A model can score well on Visual Question Answerin…
Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence
Vasu Srinivasan, Dhriti Vasu
We present a Sovereign AI architecture for clinical triage in which all inference is performed on-device and inbound data is delivered via a physically unidirectional channel, impl…
Bridging Protocol and Production: Design Patterns for Deploying AI Agents with Model Context Protocol
Vasundra Srinivasan
The Model Context Protocol (MCP) standardizes how AI agents discover and invoke external tools, with over 10,000 active servers and 97 million monthly SDK downloads as of early 202…
LARK -- Linearizability Algorithms for Replicated Keys in Aerospike
Andrew Goodng, Kevin Porter, Thomas Lopatic +4
We present LARK (Linearizability Algorithms for Replicated Keys), a synchronous replication protocol that achieves linearizability while minimizing latency and infrastructure cost,…