The main source for RAG (Retrieval-Augmented Generation) grounding in the Test-Time Diffusion Deep Researcher (TTD-DR) framework is the integration of a retrieval mechanism within the iteration process. Specifically, the TTD-DR involves 'denoising with retrieval,' where the current draft report is fed into a search question generation unit, guiding the development of search queries that enhance the draft through external information retrieval at each step.
This process allows for iterative refinement of the report, ensuring that it is progressively improved and updated with timely and relevant information while maintaining coherence throughout the research direction[1].
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