{"total":31,"rows":[{"id":"2506.11613","title":"Model Organisms for Emergent Misalignment","created":"2025-06-13","cited_by_count":91,"area":null},{"id":"2410.02984","title":"Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient","created":"2024-10-03","cited_by_count":40,"area":null},{"id":"2604.21691","title":"There Will Be a Scientific Theory of Deep Learning","created":"2026-04-23","cited_by_count":29,"area":null},{"id":"2501.17745","title":"Dynamics of Transient Structure in In-Context Linear Regression Transformers","created":"2025-01-29","cited_by_count":14,"area":null},{"id":"2505.16694","title":"Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence","created":"2025-05-22","cited_by_count":10,"area":null},{"id":"2405.17420","title":"Survival of the Fittest Representation: A Case Study with Modular Addition","created":"2024-05-27","cited_by_count":7,"area":null},{"id":"2510.12071","title":"Influence Dynamics and Stagewise Data Attribution","created":"2025-10-14","cited_by_count":7,"area":null},{"id":"2402.03698","title":"Estimating the Local Learning Coefficient at Scale","created":"2024-02-06","cited_by_count":6,"area":null},{"id":"2512.16902","title":"In-Context Algebra","created":"2025-12-18","cited_by_count":5,"area":null},{"id":"2603.01192","title":"A Basin-Selection Perspective on Grokking via Singular Learning Theory","created":"2026-03-01","cited_by_count":4,"area":null},{"id":"2602.05184","title":"Towards Worst-Case Guarantees with Scale-Aware Interpretability","created":"2026-02-05","cited_by_count":3,"area":null},{"id":"2606.19491","title":"Algebraic Dead Directions in LayerNorm Transformers: A Forward-Pass-Only Diagnostic at LLM Scale","created":"2026-06-17","cited_by_count":3,"area":null},{"id":"2603.03993","title":"Specialization of softmax attention heads: insights from the high-dimensional single-location model","created":"2026-03-04","cited_by_count":2,"area":null},{"id":"2605.07980","title":"Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2606.21158","title":"Dead-Direction Signatures: A Cheap Spectral Reading of Singular Complexity","created":"2026-06-19","cited_by_count":2,"area":null},{"id":"2602.11097","title":"Statistical Learning Analysis of Physics-Informed Neural Networks","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2603.12785","title":"Upper Bounds for Local Learning Coefficients of Three-Layer Neural Networks","created":"2026-03-13","cited_by_count":1,"area":null},{"id":"2605.29153","title":"Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization","created":"2026-05-27","cited_by_count":1,"area":null},{"id":"2606.05957","title":"Dead Directions: Geometric Singular Learning","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2510.16927","title":"Closing the Curvature Gap: Full Transformer Hessians","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2603.15953","title":"A Family of LLMs Liberated from Static Vocabularies","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2603.27432","title":"The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks","created":"2026-03-28","cited_by_count":0,"area":null},{"id":"2605.16325","title":"Phase Transitions in Driven Informational Systems: A Two-Field Perspective on Learning Theory and Non-Equilibrium Chemistry","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.18281","title":"Temporal Task Diversity: Inductive Biases Under Non-Stationarity in Synthetic Sequence Modelling","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.01302","title":"Structure and Scale in Simplicial Sequence Modelling","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.22389","title":"Noise-Debiased Thermodynamic Variance for Local Learning Coefficient Probes","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2607.00603","title":"Measuring Dead Directions: Decomposing and Classifying Singular Structure off Canonical Alignment","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.13432","title":"Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.09840","title":"Langevin dynamics along the zero set of real-analytic potentials","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2609.02373","title":"Percolation Dynamics in Optimization: Variance Cascades and Nested Symmetry","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.19000","title":"Capability Emergence Can Be Forecast: Per-Seed, In Advance, With Calibrated Intervals, Certified False Alarms, and a Blind Pre-Registered Gate","created":"2026-07-17","cited_by_count":0,"area":null}],"next_cursor":null}