Publications

You can also find my articles on my Google Scholar profile.

arXiv

ArbiGraph: Arbitrarily Scalable Verifiable Task Graphs for Evaluating Context Management Pavel Golikov, Evgenii Opryshko, Gennady Pekhimenko, and Mark C. Jeffrey. arXiv preprint arXiv:2607.20764, 2026. [arXiv] | [GitHub] | [Hugging Face]
Project update: The public implementation includes reinforcement learning with verifiable rewards (RLVR) environments with dataset-backed and on-demand episodes, hidden verifier state, exact binary rewards, and per-node diagnostics.
Robust Reasoning Benchmark Pavel Golikov, Evgenii Opryshko, Gennady Pekhimenko, and Mark C. Jeffrey. arXiv preprint arXiv:2604.08571, 2026. (Under Review at a top-tier conference) [arXiv] [DOI]

arXiv Research Agent: Evaluation-First RAG for Grounded Literature Review An open-source LangGraph/LangChain agent that searches arXiv, stores page-preserving paper chunks in a Chroma vector database, and produces citation-grounded literature reviews. Includes dense, BM25, hybrid, and cross-encoder-reranked retrieval; two hand-labeled evaluation datasets; retrieval ablations; groundedness and claim-support evals; SQLite checkpointing; and 163 offline CI tests. [GitHub] | [Project Details] | [Evals]

Fusing Adds and Shifts for Efficient Dot Products Pavel Golikov, Karthik Ganesan, Gennady Pekhimenko, and Mark C. Jeffrey. IEEE Computer Architecture Letters, 25(1), pp. 33-36, 2026. [DOI]

GPUPool: A Holistic Approach to Fine-Grained GPU Sharing in the Cloud Xiaodan Serina Tan, Pavel Golikov, Nandita Vijaykumar, Gennady Pekhimenko. PACT 2022, pp. 317-332. [DOI]
Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko. USENIX ATC 2021, pp. 503-521. [Paper]