{"total":18,"items":[{"citing_arxiv_id":"2605.19607","ref_index":45,"ref_count":1,"confidence":0.98,"is_internal_anchor":true,"paper_title":"Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution","primary_cat":"cs.CV","submitted_at":"2026-05-19T09:47:04+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Spectral Integrated Gradients constructs SVD-based integration paths that activate singular components from largest to smallest, producing cleaner attribution maps and better quantitative scores than standard Integrated Gradients on image classification tasks.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.05283","ref_index":50,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Seeing What Shouldn't Be There: Counterfactual GANs for Medical Image 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explanations to identify targeted pathways, reporting up to 4.5x higher Fidelity+ and 14x lower Fidelity- than baselines on 301 networks.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2411.02622","ref_index":14,"ref_count":1,"confidence":0.98,"is_internal_anchor":true,"paper_title":"AdaProb: Efficient Machine Unlearning via Adaptive Probability","primary_cat":"cs.LG","submitted_at":"2024-11-04T21:27:06+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"AdaProb performs machine unlearning by substituting final-layer output probabilities with optimized uniform pseudo-probabilities and updating model weights.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2407.07639","ref_index":70,"ref_count":1,"confidence":0.98,"is_internal_anchor":true,"paper_title":"Explaining Graph Neural Networks 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