Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · Retrieval-augmented generation (RAG) — nothing is hidden. Brief papers first.

All1,002In brief3More (on-topic)118Not relevant869Not assessed4Older35Could not confirm5Blogs with no paper30All blogs31
PaperTopicRelevanceFeedback
Beyond Downstream QA: Rethinking How We Evaluate Agent Memory
The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures.
In brief · #1Surprising resultPreprint8/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 17 Oct, 06:17
On-topic
Addresses memory retrieval and ingestion quality across evolving multi-author documents.
Copying Is Not Grounding: Training Faithful Long-Form RAG with Authored-Sentence Credit
Identifies passage copying as a failure mode in long-form retrieval systems and introduces sentence-level credit assignment to encourage genuine grounding.
In brief · #2Surprising resultPreprint8/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 15 Oct, 06:17
On-topic
Investigates grounding versus copying in long-form RAG, introducing sentence-level credit training.
Welcome to the Age of Agent Ads: Using On-Policy Attacks to Steer Agentic Decisions
The paper investigates on-policy indirect manipulation attacks that steer autonomous agent purchasing and ranking decisions via web retrieval.
In brief · #3Surprising resultPreprint8/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 15 Oct, 06:17
On-topic
Analyzes how adversarial web search results poison agent grounding and option ranking.
1–3 of 3