A source-review framework for separating automated applications, job matching, workflow support, and recruiter-led discovery.
Evidence you can inspect.
Traceroster publishes the methods and structured inputs behind its candidate-discovery research so readers can examine the scope, assumptions, and boundaries for themselves.
Published research
Human-readable methodology pages with the underlying structured assets available for inspection.
A fixed synthetic corpus, recruiter-query set, relevance rubric, and metric design for comparing keyword, semantic, and hybrid retrieval.
How Traceroster publishes research
The method is part of the evidence, not a footnote added afterward.
Define the question
State what the research can answer and keep product-category questions separate from outcome claims.
Freeze the inputs
Record sources, synthetic examples, queries, filters, rubrics, and metrics before interpreting outputs.
Preserve the boundaries
Document what the method does not measure so a narrow result cannot be stretched into a broader claim.
Publish the artifact
Provide the structured input alongside the readable explanation so the research can be inspected and reproduced.
See the research applied
Read how Traceroster separates exact-term evidence, meaning-based retrieval, and candidate-controlled discovery.