The Temporal Tug-of-War: Visualizing and Detecting RAG Conflicts in Diffusion Models via Trajectory Variance

arXiv:2609.31684 · cs.CL, cs.LG · Submitted 2026-09-16 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-16

Updated: 2026-09-16

Code: https://github.com/sravankarthik/temporal-tug-of-war

Terminology

• Diffusion Model — 21× in this paper · explained in 8 episodes
• Diffusion Models — 21× in this paper · explained in 6 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• RAG — 17× in this paper · explained in 3 episodes
• Hallucination — 8× in this paper · explained in 3 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Trajectory Variance Score — 4× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Hallucination Detection — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 2× in this paper
• Semantic Drift — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptive Decoding — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Retrieval Augmented Generation (RAG) — 1× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Discovering Latent Knowledge in Language Models Without Supervision
• TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
• TDGNet: Hallucination Detection in Diffusion Language Models via Temporal Dynamic Graphs
• CoCoA: Confidence and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
• Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
• Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• Locating and Editing Factual Associations in GPT
• Large Language Diffusion Models
• Simple and Effective Masked Diffusion Language Models
• OSCAR: Orchestrated Self-verification and Cross-path Refinement
• Simplified and Generalized Masked Diffusion for Discrete Data
• ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
• Retrieval-Augmented Generation with Conflicting Evidence
• Crowdsourcing Multiple Choice Science Questions
• Dream 7B: Diffusion Large Language Models
• Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models

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