formalization-check

To check formalization, evaluate the problem statement to classify its mathematical definition level as formal_math, semi_formal, prose_only, or absent. This process extracts the underlying framework to reveal whether the research problem is rigorously defined.

Extracting the MDP or POMDP framework involves identifying the underlying mathematical structure in the formalization stage to pull objectives, decision variables, constraints, and information structure directly from the robotics paper.

Yes, you can verify mathematical properties like convexity using SymPy. By applying SymPy verification scripts to the extracted mathematical definition, you can computationally validate the claimed symbolic properties of the research problem.

This formalization assessment works for any technical document, including robotics papers and researcher drafts. It evaluates the mathematical formalization level universally during the formalize stage of research problem analysis.

To find alternative formalizations, query recent literature for similar problems during the assessment. This provides context by comparing the extracted mathematical framework against alternative definitions used in other research papers.

A limitation of automated formalization checking is its dependence on paper extraction tools to parse text. If a research draft lacks explicit mathematical definitions, the assessment is restricted to classifying it as prose_only or absent.