3 citations · 4 across the 14 of their papers we have counts for
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cs.DC2026
Enabling Multi-Dimensional Distributed Trace Comparison with Contrast
Vaastav Anand, Rodrigo Fonseca, Jonathan Mace +1
Diagnosis using distributed traces is fundamentally a comparative task: operators seek to understand how an anomalous execution differs from expected behavior, how a deployment cha…
cs.DC2026
Epistemic Observability in Language Models
Tony Mason, Vaastav Anand
We find that models report highest confidence precisely when they are fabricating. Across four model families (OLMo-3, Llama-3.1, Qwen3, Mistral), self-reported confidence inversel…
cs.NI2026
MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability
Tie Ma, Yixi Chen, Vaastav Anand +8
We present MAESTRO, an evaluation suite for the testing, reliability, and observability of LLM-based MAS. MAESTRO standardizes MAS configuration and execution through a unified int…