{"schemaVersion":1,"target":{"type":"reading","id":"e1a13c55755af77b9e83386972cbd435bed56fe538066cb4e00ff6cecc30852e","revision":"f02ec2b0-af6b-4ec2-8c30-87f594b96c11","revisionKind":"publication-id","title":"arXiv cs.AI: Researchers turn recommendation edits into explanations","url":"https://escapemeridian.com/readings/arxiv-cs-ai-researchers-turn-recommendation-edits-into-e1a13c55"},"source":{"type":"source","id":"https://arxiv.org/abs/2611.13914","revision":"9a21464204b7ba8c4467bc865a54ade709b9b23df627c38565e9fbc8f387efff","revisionKind":"sha256-source-text","title":"From Counterfactual Edits to Human Narratives: LLM-Driven Interpretations for Recommender System Explanations","url":"https://arxiv.org/abs/2611.13914"},"status":"available","items":[],"next":null,"scope":"Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter."}