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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CR2026

Composable Trust for Language Models: A proven boundary and a measured defense

Yakov Pyotr Shkolnikov

The paper proposes a trust model that places authority outside language models, using a deterministic pipeline and a non-model monitor to control operations based on source integri…

cs.LG2026

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…

eess.AS2026

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…

cs.CV2026

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…

cs.LG2026

Agent Memory Below the Prompt: Persistent Q4 KV Cache for Multi-Agent LLM Inference on Edge Devices

Yakov Pyotr Shkolnikov

Multi-agent LLM systems on edge devices face a memory management problem: device RAM is too small to hold every agent's KV cache simultaneously. On Apple M4 Pro with 10.2 GB of cac…