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Verifier

As explained in Build a Reasoning Model (From Scratch)

A component that checks whether a candidate answer is correct or acceptable, often by comparing it against a reference.

A verifier checks whether a candidate answer is correct by comparing it with a reference solution, often after extraction and normalization. In this material, it is used for free-form math answers and as a benchmark-based evaluation method for reasoning models. section 3.1 section 3.10

The workflow is stepwise: generate an answer, extract the final boxed response, normalize formatting, parse it with SymPy, and compare it to ground truth. Direct string equality is not enough because equivalent expressions can look different. section 3.6 section 3.10

The verifier here connects to these pieces:

Concrete check

A normalized fraction like 13/4 matches an equivalent form like (13)/(4), and 0.5 matches (1)/(2), but 14/3 does not match 15/3. section 3.6 section 3.10

How Build a Reasoning Model (From Scratch) covers it

How deep it goes
Explains the full verification pipeline through parsing, normalization, and symbolic comparison, but leaves broader evaluation methods aside.
Examples
Uses boxed answers, fraction equivalence, and the MATH-500 evaluation workflow.
What it assumes
Assumes free-form answer generation and basic mathematical notation; teaches extraction and verification from scratch.
What you can do after
Apply it to judge whether a generated mathematical answer is correct and to support model evaluation or later reward signals.
How it connects
Connects answer extraction, normalization, ground truth, SymPy, and reasoning models.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Build a Reasoning Model (From Scratch). The section links point to the parts of the book it draws on.