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Papers

Publications linked to models, labs and benchmarks. Authors, venues and abstracts come from arXiv and publisher pages; model links come from model cards citing the paper.

8 papers

Papers
TitleAuthorsOrganizationPublishedIntroduces Models (and artifacts) whose model card or documentation cites this paper — inbound described_by relations.DatasetsBenchmarksCode
Conformal Policy Learning with Distribution-Free Safety GuaranteesarXiv:2609.17296stat.MENaoki Egami, Ying Jin16 Sept 2026
CausalSmith: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal InferencearXiv:2607.22511stat.MLJiyuan Tan, Vasilis Syrgkanis16 Sept 2026
Beyond Point Forecasts: A Survey on Probabilistic Forecasting for Time Series and Spatiotemporal DataarXiv:2609.13345stat.MLDonia Besher, Madhurima Panja, Rajdeep Pathak +115 Sept 2026
Eigenvalue-Decomposition Cost Denoising as an Alternative to Predict-then-Optimize for Shortest-Path ProblemsarXiv:2609.15111econ.EMHenry Aldridge-Krawciw, Irene Aldridge15 Sept 2026
Aligning Language Models with Observational Data: Opportunities and Risks from a Causal PerspectivearXiv:2506.00152cs.LGErfan Loghmani14 Sept 2026
Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment EffectsarXiv:2210.11003econ.EMAnish Agarwal, Dwaipayan Saha, Haeyeon Yoon +214 Sept 2026
Extracting Dataset Mentions in Forced Displacement and FCV Documents: A Weakly Supervised Framework with LLM-Based Label RefinementarXiv:2609.12107cs.CLAivin V. Solatorio, Olivier Dupriez, Patrick Michael Brock +114 Sept 2026
Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business ImpactarXiv:2609.11915stat.MLMasahiro Kato, Daiki Honma, Taka Kato12 Sept 2026

8 results

Author lists and categories are copied from the paper's own metadata (arXiv, publisher). Linked models, datasets, benchmarks and code come from stated relations only; a dash means no source stated one.