342 citations · 1.3k across the 26 of their papers we have counts for
25 papers
Artificial Id: Drive and Persistent Alignment in Agentic AI
Yakov Pyotr Shkolnikov
Agentic AI is moving from bounded task execution toward systems that retain consequential state, continue operating and adapt across task boundaries. That shift creates a control p…
From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research
Yakov Pyotr Shkolnikov
Research and news coverage of language-model deception increasingly attributes human-like mental-state concepts to language models. Such claims can blur the distinction between beh…
Composable Trust for Language Models: A proven boundary and a measured defense
Yakov Pyotr Shkolnikov
In a language model, instructions and data share one token stream, so nothing inside the model's generation can keep untrusted text from steering it. We develop a trust model that…
Bit-Identical Medical Deep Learning via Structured Orthogonal Initialization
Yakov Pyotr Shkolnikov
Deep learning training is non-deterministic: identical code with different random seeds produces models that agree on aggregate metrics but disagree on individual predictions, with…
Learnable Pulse Accumulation for On-Device Speech Recognition: How Much Attention Do You Need?
Yakov Pyotr Shkolnikov
Self-attention scales quadratically with sequence length, limiting transformer-based speech models on edge devices. We introduce the Learnable Pulse Accumulator (LPA), an O(n) repl…
Do Foundation Models Know Geometry? Probing Frozen Features for Continuous Physical Measurement
Yakov Pyotr Shkolnikov
Vision-language models encode continuous geometry that their text pathway fails to express: a 6,000-parameter linear probe extracts hand joint angles at 6.1 degrees MAE from frozen…