Published directly by arXiv and picked up by 1 other source.
How can we build an agent that thinks beyond human language, yet still acts through it in the external environment? Modern LLM agents still reason and interact through text, while latent reasoning offers an efficient internal medium but lacks native tool access and reasoning transparency. We bridge these two directions with Hybrid Reasoning Agents (HybridAgents), which dynamically navigate between latent reasoning and text-based interaction throughout a unified generation process. Architecturally, a lightweight HybridLink enables seamless transitions between text and latent modes, while the…
Not summarised — no summariser is configured, so the text above is the source's own excerpt.
| Age | -30 |
| Community engagement | 10.7 |
| Corroborating sources | 4 |
| Primary source | 20 |
| Total | 4.7 |
These components add up to 4.699999999999999, not 4.7. The total is what ordered your brief; the difference means a component was not recorded, so treat this breakdown as incomplete rather than as the whole reason.