Unverified50% confidenceOpinionExact time
SSR's candidate set design philosophy is close to the retrieval idea in retrieval-augmented generation (RAG), namely pre-building a reasoning candidate library so the model retrieves and selects the best-matching candidate based on the current situation rather than generating from scratch.
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50%
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Long-term
Relevance
10/15/2026
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Related Claims
UnverifiedSSR (Selection-based Structured Reasoning) proposes a paradigm shift: instead of letting the model freely generate the reasoning process, it lets the model choose from preset reasoning candidates.70% similarUnverifiedSSR abstracts recurring high-level reasoning patterns into a predefined, reusable set of natural language candidates, and the model selects the most suitable reasoning path from the candidate list in each round of interaction.69% similarUnverifiedIn individual developer practice, a hybrid approach of RAG combined with fine-grained prompts is often adopted to implement personal reasoning models.69% similarUnverifiedIncremental codebase exploration is technically a variant of retrieval-augmented generation (RAG), but with the trigger logic driven by the model itself rather than by pre-retrieval.68% similar
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