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3 items · 2 sources · 3 days

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Operational story trace

Routing Learning

Current stateLoose threadstatus changed Nov 4

Latest change

A Nov 4 arXiv paper learns which visual tokens a computer-use agent keeps, targeting the compute cost of long-horizon and real-time agent tasks.

Earlier contextThe story so far

Three unrelated arXiv papers share the word routing: expert routing for respiratory-sound classifiers under device drift (Oct 20), then strategy-guided RL for picking agent skills (Oct 30). The link is vocabulary, not a continuing research line.

editor-curated · source-linked

Arc

Oct 20Nov 4 · now
EARLY · Oct 20
Expert routing for respiratory-sound domain-incremental learning
1 source · show source ▾
AGENTS · Oct 30
TalentRL applies strategy-guided RL to hierarchical skill routing for LLM agents
1 source · show source ▾
NOW · Nov 4
Visual Token Routing learns which tokens computer-use agents keep
1 source · show source ▾

What to watch — open questions

  • Do TalentRL or Visual Token Routing release code or report results on a public agent benchmark?
  • Does the token-routing paper report a measured compute or latency reduction for computer-use agents?
How this thread was built
editor wrote the arc · 3 beatswatcher 1 status change

Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.