pith. sign in

Title resolution pending

URLhttps://arxiv · arXiv 2402.07102

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
read on arXiv browse 1 citing papers

Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

fields

cs.LG 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

ECHO: Terminal Agents Learn World Models for Free

cs.LG · 2026-05-23 · unverdicted · novelty 6.0

ECHO is a hybrid RL objective that trains agents to predict environment observation tokens from their actions, doubling GRPO pass@1 on TerminalBench-2.0 while improving dynamics prediction on held-out trajectories.

citing papers explorer

Showing 1 of 1 citing paper.

  • ECHO: Terminal Agents Learn World Models for Free cs.LG · 2026-05-23 · unverdicted · none · ref 8

    ECHO is a hybrid RL objective that trains agents to predict environment observation tokens from their actions, doubling GRPO pass@1 on TerminalBench-2.0 while improving dynamics prediction on held-out trajectories.