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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

A. Kolesnikov

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2 papers indexed here

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Open access Sep 2026

A Reproducible, Provenance-Preserving Architecture for Sequential Intervention-Threshold Evaluation in Large Language Models

Sequential evaluation of large language models (LLMs) needs an auditable way to analyse when intervention first occurs. The architecture presented here uses cumulative scenarios and reconstructs first-ACT/censoring and at-risk datasets from a master record for discrete-time event-history analysis. Its methodological co...

A. Kolesnikov · 0 citations
Review Open access Sep 2026

A Reproducible Computational Pipeline for Modelling Sequential Decision Thresholds from Stopping-Rule Data

The contribution is a reproducible data-engineering system that bridges raw stopping-rule survey exports and standard event-history or repeated-measures modelling tools, while making exclusion decisions auditable rather than hidden in manual recoding.

A. Kolesnikov · 1 citation

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