kei-saito-research/nrr-transfer: v0-claim-transfer-min

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Authors: Kei Saito
Cited by: 0

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