Linear Direction, Linear Subspace, Linear Separability, Intrinsic-dimension profile across depth, Representational-similarity trajectory across depth, Dimensional collapse, Concept Crystals (Parallelogram/Trapezoid Structure), Circle

[b]=[d]-[t]+[p]: Self-Supervised Speech Models Discover Phonological Vector Arithmetic (2026), Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe (2026), Analyzing Language and Geographical Variation in Speech Representations Across 60 Indic Languages (2026), Analyzing the Relationships between Pretraining Language, Phonetic, Tonal, and Speaker Information in Self-Supervised Speech Models (2025), Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models (2026), InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective (2026), Self-Supervised Speech Models Encode Phonetic Context via Position-dependent Orthogonal Subspaces (2026), Self-Supervised Models of Speech Infer Universal Articulatory Kinematics (2023), Emergent morpho-phonological representations in self-supervised speech models (2025), Emergence of Phonemic, Syntactic, and Semantic Representations in Artificial Neural Networks (2026), Musical Training, but not Mere Exposure to Music, Drives the Emergence of Chroma Equivalence in Artificial Neural Networks (2026)