PROJECTS
An O(1)-state sequence model that consumes an unbounded stream at constant memory, stays awake through silence, and consults an external .causal knowledge index at runtime. Built on GSSM.
CONFERENCE PAPERS — 2026
- Compression-Based Trust Verification of Lightweight Ciphers Deployed in Nano-IoT Communication Standards
- Causal Graph Topology for Automated Security Margin Analysis and Blind Cipher Identification
- Compression Isolation of Distributional Signatures in NIST Post-Quantum Ciphertext
- Deterministic Validation for Reliable LLM-Based Causal Knowledge Extraction
- Persistent Cross-Round Carry Leakage in ARX Ciphers: Detection, Prediction, and Topological Classification
- Input-Agnostic Causal Knowledge Discovery with Deterministic Validation and Autonomous Gap Resolution
- The .causal Format: Embedded Deterministic Inference for Domain-Agnostic Knowledge Graph Amplification
- Backward Causal Inference on Nuclear Knowledge Graphs: Domain-Specific Entity Resolution, Fault Path Discovery, and Blind Accident Prediction
- Spectral Signatures of Pseudo-Random Number Generators in Nuclear Monte Carlo Codes: Detection via Markov Transition Analysis and Compression-Based Exchangeability Testing
CONFERENCE SERVICE — 2026
- Session Chair — Session E2: NLP, Sentiment & Multimodal Reasoning · University of Washington Bothell, Seattle, Washington, USA