Banger paper from Microsoft and colleagues.

If you run agents that search a large document collection, this one is worth your time.

(bookmark it)

They introduce CorpusMap, which resolves recurring entities across the collection in advance and gives each entity a page that links to every document that mentions it.

The original documents stay in place.

The agent reads a document, follows an entity to related documents, and avoids searching for the same evidence again.

Across 7 models and three benchmarks, answer quality goes up 6.4 to 11.7 points while input tokens drop 34% to 57%.

It also beats an LLM Wiki layer and three other navigation layers.

The map can be built without LLM calls and updated as new documents arrive.

Paper: https://arxiv.org/abs/2609.37226

Chat with Paper: https://academy.dair.ai/papers/follow-the-entities-a-corpus-map-for-agentic-search-2609.37226