{"total":10,"items":[{"citing_arxiv_id":"2606.26757","ref_index":28,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Batch-Invariant Spectral Intelligence for Robust and Explainable Insect Authentication","primary_cat":"cs.LG","submitted_at":"2026-06-25T08:42:51+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"BISN achieves 0.93 mean leave-one-batch-out accuracy on 2700 NIR spectra from three insect species across three batches, outperforming baselines by 4% while decisions align with lipid and protein absorption regions.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.19850","ref_index":3,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Neural Additive and Basis Models with Feature Selection and 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