Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2610.40927.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

The paper proposes Agentic World Modeling, which lets agents simulate hypothetical actions by querying shared environments through safe read-only interfaces and constructing observations without changing state. Integrated with trajectory-level test-time scaling, it reports average gains over single-shot and trained world-model baselines across three benchmarks.

Provides a concrete architecture and benchmark evidence for teams running agents against persistent services where parallel trials, replication, or destructive actions are constrained.

Cited by

No citations on record.