{"total":19,"rows":[{"id":"2502.11245","title":"Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens","created":"2025-02-16","cited_by_count":13,"area":null},{"id":"2602.05910","title":"Chunky Post-Training: Data Driven Failures of Generalization","created":"2026-02-05","cited_by_count":7,"area":null},{"id":"2511.05124","title":"QuAnTS: Question Answering on Time Series","created":"2025-11-07","cited_by_count":5,"area":null},{"id":"2503.10542","title":"Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2508.18933","title":"VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation","created":"2025-08-26","cited_by_count":3,"area":null},{"id":"2601.10180","title":"Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2604.04518","title":"Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional non-robustness and how to fix them","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2412.06265","title":"Table2Image: Lightweight Tabular Learning with Generated Proxy Representations and Reliability Diagnostics","created":"2024-12-09","cited_by_count":0,"area":null},{"id":"2507.07532","title":"Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings","created":"2025-07-10","cited_by_count":0,"area":null},{"id":"2510.00475","title":"Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2602.18502","title":"Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2604.04717","title":"The Infinite-Dimensional Nature of Spectroscopy and Why Models Succeed, Fail, and Mislead","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2604.26676","title":"A Toolkit for Detecting Spurious Correlations in Speech Datasets","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2605.26855","title":"Receipt Replay OOD: A Small Benchmark for Screen Replay Detection Under Domain Shift","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.15251","title":"Driving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Ground Mobility","created":"2026-06-13","cited_by_count":0,"area":null},{"id":"2606.28194","title":"COCOLogic-V2: Identifying Logical Inconsistencies via Truly Hard-Negatives","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2609.34030","title":"Uncovering shortcut learning in audio classifiers by discovering recurring concepts in temporal explanations","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2610.06973","title":"Event Cameras for Melt-Pool Monitoring in Additive Manufacturing: A Benchmark and a Cross-Machine Transfer Analysis","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.08552","title":"AnyBottle: A Recipe to Only Keep the Concepts You Really Need","created":"2026-10-06","cited_by_count":0,"area":null}],"next_cursor":null}