Small agents learn to navigate documents far beyond their context

A fine-tuned model with an 8,000-token window matched a million-token frontier model on one synthetic long-document benchmark.

Industry
Bryce Sandlund
Research Digest··3 min read
6-35B-A3B to process long documents through two tools: one reads selected token ranges, while the other delegates subtasks to fresh copies of the model.

6-35B-A3B with supervised examples from a diverse synthetic curriculum.

Why this paper

Industry

In one line

A small model with 8K tokens of context matches GPT-5.4 with 1M tokens on long-context benchmarks beyond 40K tokens.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors (2 noted)
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§

Research Digest

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.