Phase Space Attention:A Hairer Lift Circumvents the Single-Layer Induction Obstruction
cs.LG, cond-mat.mtrl-sci, cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- On the Power of Convolution Augmented Transformer
- Test-time regression: a unifying framework for designing sequence models with associative memory
- Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
- One-layer transformers fail to solve the induction heads task
- Differential Transformer
- KV Shifting Attention Enhances Language Modeling
- Scaling Laws for Neural Language Models
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
- Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
- Critical attention scaling in long-context transformers
- Invertible Query-Key Coupling Composes with Attention Mechanisms
- SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
- DoPE: Denoising Rotary Position Embedding
- Momentum Attention: The Physics of In-Context Learning and Spectral Forensics for Mechanistic Interpretability
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