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April 1, 20260 citationsOpen Access

PRATYAKSHA: Self-Verifying Corpus Training Protocol for Domain-Specialized Small Language Model Construction

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ASAnil Kumar Sharma

Key Points

  • To develop a training protocol that enhances the quality and reliability of small language models in specialized domains.
  • Defined quality gate architecture to assess model training standards.
  • Created corpus validation methodology to ensure data integrity and relevance.
  • Implemented self-verification mechanisms to integrate domain rules as weights.
  • The model demonstrated improved adherence to domain-specific rules during operation.
  • Quality assessments indicated a higher standard of model reliability compared to conventional methods.

Abstract

PRATYAKSHA (Sanskrit: direct perception, self-evident truth) is a training protocol specification for domain-specialized small language models. The protocol defines quality gate architecture, corpus validation methodology, and self-verification mechanisms that ensure the trained model embodies domain rules as weights rather than retrieval targets.

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Cite This Study

Anil Kumar Sharma (2026) studied this question.

synapsesocial.com/papers/69ccb62016edfba7beb87d1ehttps://doi.org/10.5281/zenodo.19335572
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