kei-saito-research/nrr-transfer: v0-claim-transfer-min
Abstract
Pre-public minimal snapshot with README/docs search-intent improvements. Includes ambiguity-preserving inference wording, premature commitment in LLM decoding framing, semantic collapse phrasing, and defer-vs-commit positioning links. No manuscript text or full result artifacts are included in this snapshot. NRR does not replace standard LLM use. NRR optimizes when to commit and when to defer, under explicit conditions. This record is retained as a historical archival snapshot for DOI/provenance purposes. The corresponding GitHub repository is not a current public repository and this record should not be read as the current public paper front.
Fields of Study & Subjects
Topic Modeling
Natural Language Processing Techniques
Information Retrieval and Search Behavior
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN