Published March 6, 2026 | Version v1
Preprint Open

Towards Unified Material-State Tensors: Epistemic Sensing Architecture for Physics-Constrained Material Characterization

Description

Epistemic Sensing Architecture for Physics-Constrained Material Characterization. We introduce the Epistemic Sensing Functor: an MI-guided proxy selection architecture with a hard thermodynamic gate (Clausius-Duhem inequality) that reduces required measurements by 60% while maintaining 100% admissibility across 18,146 samples and 8 material families. Evaluation of 5 frontier LLMs shows that only live gate enforcement — not rule information alone — restores thermodynamic compliance (+18pp). Validated on 6 real concrete mixes. 27,542 LOC Rust prototype, CC-BY-4.0. Continues UMST Paper 1 (doi:10.5281/zenodo.18768547).

 

Files

UMST_Paper2_Preprint.pdf

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Additional details

Related works

Is continued by
Preprint: 10.5281/zenodo.18768547 (DOI)

Software

Repository URL
https://github.com/tytolabs/umst-prototype-2a
Programming language
Rust , Python