{"total":3,"items":[{"citing_arxiv_id":"2606.24953","ref_index":59,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"How Complexity Contributes to Learning Opacity in Machine Learning","primary_cat":"cs.LG","submitted_at":"2026-06-23T08:17:35+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":3.0,"formal_verification":"none","one_line_summary":"Neural network learning opacity stems from three dynamical complexity properties in training, rendering some sources of opacity irreducible.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.01045","ref_index":290,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Child-directed speech facilitates production, not comprehension, in BabyLMs","primary_cat":"cs.CL","submitted_at":"2026-05-31T06:27:58+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"CDS-trained BabyLMs show earlier and more appropriate production in a new frame-completion task while FineWeb-edu models lead on comprehension benchmarks, indicating current tests underestimate CDS benefits.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.20613","ref_index":33,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"HRM-Text: Efficient Pretraining Beyond Scaling","primary_cat":"cs.CL","submitted_at":"2026-05-20T01:59:50+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A 1B-parameter hierarchical recurrent model pretrained on 40B instruction-response tokens achieves 60.7% MMLU and strong results on ARC-C, DROP, GSM8K, and MATH while using 100-900x fewer tokens than standard baselines.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}