Papers

Abstracts of published research. Full papers are at the publisher.

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Brain API: An Intent-Aware Control Plane for Policy-Governed Agentic Systems

arXiv preprint (cs.DC) Alexander Chernov · 2026

Proposes an intent-aware control plane whose central contribution is the decision artifact: a durable, versioned, auditable record of how an intent became an executable plan — which policies applied, which capabilities were evaluated, which alternatives were rejected, and why. A prototype of the decision layer agrees with the OPA Gatekeeper constraint library's published verdicts on 42 of 42 encodable cases; the context-signal and ranking stages remain design claims.

arXiv:2609.21299 [cs.DC], v1, 18 September 2026. DOI 10.48550/arXiv.2609.21299. CC BY 4.0.

A Policy Profile for Croissant: Refusal as a Property of the Dataset

arXiv preprint (cs.LG) Alexander Chernov · 2026

Supplies the half of Croissant's data use conditions that no version specifies — how they are evaluated: an additive profile lets a dataset declare the operations it admits and the conditions under which it admits them, over five operators with a complete decision procedure, so a gate decides from the descriptor alone and records what it checked. On descriptors that gated a real nf-core pipeline, profile decisions match the native record for record at 11.7 µs added cost against a 119 µs decision.

arXiv:2609.19640 [cs.LG], v1, 17 September 2026. DOI 10.48550/arXiv.2609.19640.

Is Quantum Ready for Biology? What It Would Take to Put a Quantum Step Inside a Regulated Biopharma Pipeline

IEEE Quantum Week 2026 (QCE26), Toronto — Birds-of-a-Feather session Alexander Chernov · 2026

Slides for a Birds-of-a-Feather session on what it would take to put a quantum step inside a regulated biopharmaceutical pipeline: what evidence must accompany a quantum result before a regulated workflow can evaluate it, which biological use cases are credible on noisy intermediate-scale devices and which depend on fault tolerance, and which governance requirements hold in both regimes.

BOF-2099, 14 September 2026. Slides on Zenodo, DOI 10.5281/zenodo.22841352. CC BY 4.0.

Policy-Aware Supervisory Control for Observable Embodied Biomedical Robotic Systems

IEEE CBS 2026, Munich, 6–8 September 2026 Alexander Chernov · 2026

Introduces a policy-aware supervisory architecture for heterogeneous biomedical manipulators in which task intents, lifecycle states, policy decisions, refusal rationale and telemetry traces are first-class runtime artifacts, so an unsafe intent is refused before any planner or driver runs; a simulated plate transfer across a Cartesian pipettor and a 6-DOF arm shows the same intent-level workflow on both, with complete trace reconstruction.

In the conference proceedings; IEEE Xplore record pending.

Dataset Descriptors for Autonomous and Observable Biomedical Data Pipelines

IEEE EMBC 2026, Toronto, 26–30 July 2026 Alexander Chernov · 2026

Introduces dataset descriptors as a control-plane abstraction for autonomous biomedical pipelines: structured, versioned specifications that bind a dataset to its policies, permissible actions, and observability requirements, enabling decentralized policy enforcement and real-time auditability in regulated research environments.

In the conference proceedings; IEEE Xplore record pending.

Agentic Data Services: A Control-Plane Architecture for Adaptive Data Workflows

IEEE BigDataService 2026, CISOSE Congress Alexander Chernov · 2026

Presents a control-plane architecture for Big Data as a Service that models workflows as adaptive, policy-aware service entities rather than static DAGs, combining a dual-record execution model adapted from pharmaceutical batch manufacturing with workflow-level semantic caching; on clustered workloads the cache reduces backend requests by 81% and median latency by 93%.

IEEE, pp. 125–129. DOI 10.1109/BigDataService70481.2026.00025

Agentic Datasets as an Engineering Control Plane

IEEE CCECE 2026, Montreal, 18–20 May 2026 Alexander Chernov · 2026

Introduces Agentic Datasets as a standalone engineering control-plane abstraction in which datasets are elevated from passive storage artifacts to first-class stateful entities encoding intent, policy, and lifecycle semantics across heterogeneous data-intensive infrastructure.

IEEE, pp. 326–332. DOI 10.1109/CCECE68150.2026.11610344

Agentic Datasets as a Control-Plane Abstraction for Data-Intensive Systems

ANNSIM 2026 (SCS) — work-in-progress track Alexander Chernov · 2026

DEVS-grounded control-plane formulation of agentic datasets, framing dataset evolution as discrete-event behavior and using discrete-event simulation to evaluate policy, observability, and lifecycle semantics for data-intensive systems.

Work-in-progress paper, 4 pp, SCS Digital Library.

Tunnelling photoionization in a bichromatic laser field

Journal of Physics B: Atomic, Molecular and Optical Physics V. A. Pazdzersky, V. I. Usachenko, A. A. Chernov · 2001

Journal article on tunnelling photoionization in a two-color (bichromatic) laser field.

Vol. 34, no. 3, pp. 363–368, 2001. DOI 10.1088/0953-4075/34/3/313