arXiv Artificial IntelligenceSafeguarding LLM Agents from Misalignment through Provenance Analysis
arXiv:2607.01236v2 Announce Type: replace-cross Abstract: As LLM agents gain increasing access to powerful…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceLearning Cardiac Motion Priors for Implicit Neural Representations
arXiv:2607.00955v3 Announce Type: replace-cross Abstract: Implicit neural representations (INRs) are well…
arXiv Artificial IntelligenceCan LLMs Rank? A Tale of Triads and Triage
arXiv:2606.30412v2 Announce Type: replace-cross Abstract: From housing allocation for households experiencing…
arXiv Artificial IntelligenceCognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction
arXiv:2606.28186v3 Announce Type: replace-cross Abstract: Predicting human item difficulty is central to…
arXiv Artificial IntelligenceEchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis
arXiv:2606.25465v2 Announce Type: replace-cross Abstract: While image stylization has been studied…
arXiv Artificial IntelligenceThe Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection
arXiv:2606.23335v2 Announce Type: replace-cross Abstract: Provenance watermarking is increasingly treated as…
arXiv Artificial IntelligenceDecodable but Not Faithful: Coupling Natural-Language Rationales to Programmatic Verifiers
arXiv:2606.21678v2 Announce Type: replace-cross Abstract: Language models can generate plausible rationales…
arXiv Artificial IntelligenceUnsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability
arXiv:2606.21385v2 Announce Type: replace-cross Abstract: This paper explores unsupervised disentangled…
arXiv Artificial IntelligenceOmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving
arXiv:2606.21165v2 Announce Type: replace-cross Abstract: We present OmniV2X, a generative foundation model…
arXiv Artificial IntelligenceLearning aligned EEG representations with subject-specific encoders
arXiv:2606.16462v2 Announce Type: replace-cross Abstract: Cross-subject EEG decoding promises more training…
arXiv Artificial IntelligenceSIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model
arXiv:2606.14574v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly…
arXiv Artificial IntelligenceTwo-Layer Linear Auto-Regressive Models Estimate Latent States
arXiv:2606.12691v2 Announce Type: replace-cross Abstract: Auto-regressive models have emerged as powerful…
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