Deep Dives · Every Tuesday
Research
A 21 October paper stacks RAG techniques that each help alone: the top three retrieval gains predicted +46.6% NDCG@10 and delivered +17.2%, and the best pipeline changed as the corpus grew from 5K to 200K documents.
Research
A 13 October paper shows that with 1,000 irrelevant skills installed, agents' recall of the skills they should load falls from 73.6% to 27.4%, and explicit preselection fixes much of it.
Research
A 30 September paper treats agent error recovery as a per-run causal decision: fork from the same state with and without a refresh, count rescues and harms, and route recovery only where it pays.
Research
A 30 September paper keeps the attention an agent computes anyway as a tiny graph, then picks context for the next request with no model call, cutting compaction latency by about 95% against Codex-style summarization.