SOURCE-LINKED INTELLIGENCE
Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents
Data-centric agents repeatedly perform a discovery step before planning or execution: identifying the data objects relevant to a task. Yet successful discovery outcomes are typically discarded rather than reused. We introduce persistent discovery context, a lightweight memory layer that stores prior intent-to-object mappings and reuses them to augment future retrieval. Across three structured data environments, persistent discovery context consistently improves retrieval quality over metadata-only search, remains effective with automatically generated memories, and exposes a reproducible inter
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T05:37:09.000Z
First collected: 2026-09-21T05:51:54.566Z. This is not the publication date.