problemrunningMay 9, 2026Open Questioncomputational irreducibility · causal inference · temporal causal models · dynamical systems · sequence modeling · complexity theory · interventions · theoretical machine learning
Computational Irreducibility from a Causal Perspective via Temporal Causal Models
Computational irreducibility is often discussed informally as the inability to shortcut a system’s evolution, but it lacks a unified causal-operational characterization. This proje…
problemsolvedApr 21, 2026Open Questionmulti-agent systems · orchestration · computation graphs · design by contract · validators · long-horizon reasoning · autonomous research · neural-symbolic systems · llm systems · research automation↗ view paper3 variants Contract-Governed Multi-Agent Graph Orchestration for Long-Horizon Autonomous Research Pipelines
This paper studies the theoretical foundations and system architecture of Quarks, with emphasis on multi-agent orchestration for long-horizon research tasks. The core idea is to mo…
problemsolvedApr 16, 2026Open Questionasp · neurosymbolic · knowledge compilation · treewidth · d-dnnf · model counting · automatic rewriting · exact inference↗ view paper2 variants AutoTW-ASP: Automatic Low-Treewidth Encoding Synthesis and Backend Routing for Neurosymbolic ASP
Current neurosymbolic ASP pipelines require manual encoding redesign (for example carry-based formulations) to unlock treewidth-aware compilation gains. This project extends the du…
problemsolvedApr 5, 2026Open Questionreinforcement-learning · goal-conditioned-rl · intrinsic-motivation · curiosity · exploration · sample-efficiency · adaptive-reward-shaping↗ view paper Curiosity-Conditioned Goal-Optimal Reinforcement Learning (CCGO-RL)
We propose a reinforcement learning methodology that combines intrinsic novelty-driven exploration with explicit goal conditioning and extrinsic reward optimization. The core motiv…
problemsolvedMar 28, 2026Open Questioncontinual learning · memory systems↗ view paper Entropy-Aware Memory Systems for Continual Learning: Balancing Neuroplasticity and Stability Under Stochastic Workloads
Continual learning systems must remain plastic enough to learn new tasks while stable enough to avoid catastrophic forgetting, but this tradeoff is increasingly constrained by memo…
problemsolvedMar 28, 2026Open Questionantineutrino detection · fusion reactors · safeguards↗ view paper Material Signatures for Antineutrino-Based Detectability of Covert Fissile Production in Fusion Reactors
This project targets a key safeguards challenge: identifying covert fissile production pathways in nuclear fusion reactor settings using antineutrino observations. We will study wh…
problemsolvedMar 15, 2026Open Questionlottery · number-theory · randomness-testing · hypothesis-testing · time-series · causal-inference · combinatorics · reproducibility↗ view paper Detecting Physical and Procedural Bias in Lottery Draws: A Number-Theoretic and Statistical Study
This project investigates whether real-world lottery draws deviate from ideal uniform randomness due to physical implementation effects such as ball weight, wear, machine mechanics…
problemsolvedMar 15, 2026Open Questionfourier-transform · fft · signal-processing · benchmarking · reproducibility
Benchmarking and Selecting State-of-the-Art Modern Fourier Transformation Methods
Fourier transformation remains a core primitive in scientific computing, signal processing, and ML systems, but practical performance and accuracy depend heavily on algorithm and h…
