Running Reproduction: Prototype-Grounded Concept Models 🧩 Native PGCM prototype and intervention reproduction
Running Reproduction - On the Convergence Rate of LoRA Gradient Descent 🎯 Explore research logbook and sync with coding agents
Running Reproduction - Theory of Continual Learning with Gradient Descent 🧩 Explore research logbook and sync with an AI collaborator
Running Reproduction - Benign Overfitting in Adversarial ViTs 👁 Exact ViT theorem, softmax and released-ablation audit
Running Reproduction - FormulaCode Agentic Optimization on Large Codebases 🧮 Full released-data audit of six FormulaCode claims
Running Reproduction: Bandit Social Learning Dynamics with Exploration Episodes 🎲 Native EpiBSL exploration-failure reproduction
Running Reproduction: Tighter GP-Bandit Regret Bounds on Hyperspheres 📈 Native GP-bandit hypersphere audit
Running Reproduction - Doubly Regularized Robust MDPs 🛡 Exact theorem, ridge, UCB and robust-control audit
Running Reproduction: Human-AI Collaborative Uncertainty Quantification 🤝 Exact collaborative uncertainty-quantification audit
Running Reproduction: Full-Batch GD versus One-Pass SGD 🧱 Direct full-batch versus one-pass sample-separation audit
Running Reproduction - Delayed Momentum Aggregation 🕰 Exact DeMoA source, formula and Byzantine-majority audit
Running Reproduction: Prototype-Driven Bayesian Crowd Aggregation 🧩 Native PTBCC crowd-aggregation audit
Running Tight Stability Bounds for Robust Distributed Learning 🛡 Explore reproducible robustness experiments for distributed learning
Running 2 Reproduction: Universal Representation of Generalized Convex Functions and Their Gradients 📐 Native generalized-convex audit
Running Reproduction: Gaussian Universality Breakdown in High-Dimensional ERM 📐 Direct Gaussian-universality ERM audit
Running Falsification logbook — Evaluating Relational Reasoning in LLMs 🔬 Exact source-data falsification of all six REL claims
Running Reproduction: All ERMs Can Fail in Linear Dimension 📐 Direct ERM and GD lower-bound reproduction
Running Reproduction: Committed Q-learning for Reactive RL 🧭 Direct native Committed Q-learning reproduction
Running Reproduction Efficient Preference Poisoning 🎯 Explore experiment logs and collaborate with an AI agent