Laboratoire Spécification et Vérification

Clifford Tabular Algebra: A Multivector Data Model for Relational Tables, Subspace-Coupled Joint Diagonalization across Heterogeneous Dimensions, and Measured Limits (A Rust Prototype, Part II) | [wAI ~ wErrors]

Description / Abstract Part I of this work read a matrix as a network of Clifford multivectors and built phase-rotor solvers on that reading. This note asks whether the same mental model extends to the foundational object of modern data systems: the relational table. We establish...

Phase Algebra III: Out-of-Core Streaming and Canonical Factorization of Ultra-Large Data via Clifford Subspace Invariants | [wAI ~ wErrors] | [WIP]

`lie_cliffalg_analog_svd` is a dependency-free Rust research crate for phase-rotor SVD, joint diagonalization, and Clifford-inspired Lie-flow methods. The `v0.44.0` release establishes a verified standalone Golden Master baseline (168/168 tests pass offline), introducing canonica...

Phase Algebra II: Clifford Tabular Algebra - A Multivector Data Model for Relational Tables, Subspace-Coupled Joint Diagonalization across Heterogeneous Dimensions, and Measured Limits (A Rust Prototype, Part II) | [wAI ~ wErrors]

Description / Abstract Part I of this work read a matrix as a network of Clifford multivectors and built phase-rotor solvers on that reading. This note asks whether the same mental model extends to the foundational object of modern data systems: the relational table. We establish...

Phase Algebra II: Clifford Tabular Algebra - A Multivector Data Model for Relational Tables, Subspace-Coupled Joint Diagonalization across Heterogeneous Dimensions, and Measured Limits (A Rust Prototype, Part II) | [wAI ~ wErrors]

Description / Abstract Part I of this work read a matrix as a network of Clifford multivectors and built phase-rotor solvers on that reading. This note asks whether the same mental model extends to the foundational object of modern data systems: the relational table. We establish...

Clifford Tabular Algebra: A Multivector Data Model for Relational Tables, Subspace-Coupled Joint Diagonalization across Heterogeneous Dimensions, and Measured Limits (A Rust Prototype, Part II) | [wAI ~ wErrors]

Description / Abstract Part I of this work read a matrix as a network of Clifford multivectors and built phase-rotor solvers on that reading. This note asks whether the same mental model extends to the foundational object of modern data systems: the relational table. We establish...

CANTGBoost & CANTGit

CANTGBoost v19.0 — Wave-Geometric AI Architecture Not a conventional neural network. Not a pretrained model. CANTGBoost is a CPU-first, wave-geometric applied-research architecture that rethinks learning as signal transport across curved mathematical spaces. Instead of relying on...

CANTGBoost & CANTGit

CANTGBoost v19.0 — Wave-Geometric AI Architecture Not a conventional neural network. Not a pretrained model. CANTGBoost is a CPU-first, wave-geometric applied-research architecture that rethinks learning as signal transport across curved mathematical spaces. Instead of relying on...