Paper page - Apodex 1.1: Scaling Agentic Intelligence for Complex Work

Source: https://huggingface.co/papers/2608.23283 Published on Aug 24

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Abstract

Apodex 1.1 improves sustained, verifiable progress on complex real-world tasks by scaling executable environments and training agents to coordinate long-horizon work with state maintenance and recovery.

General-purpose language models can reason and synthesize knowledge, but complex work also requires sustained interaction with files, information sources, and executable code, together with state maintenance, failure recovery, and verifiable delivery. We call this working capability: sustained, verifiable progress toward a real-world objective. Apodex 1.1 develops this capability along two complementary dimensions.Environment Scalingexpands the diversity and verifiability of executable file, search, and code environments, whileAgentic Coordination Scalingtrains agents to decompose long-horizon tasks, delegate parallel work, integrate asynchronous results, and replan. A sharedexecution harnessandAgentOSmaintain task state and provenance across tools and agents, and training turns environment trajectories and coordination traces into reliable behavior. Across complex professional work, finance, scientific research, mathematics, coding, and search, Apodex 1.1 reaches the leading performance band despite using a substantially smaller model than many frontier systems. The 35B-parameter Apodex 1.1 Mini further retains strong working capability in a locally deployable form. These results ground agentic intelligence in useful, verifiable work completed over time and advance our goal of building a Heavy-Duty Solver for ambitious, long-running tasks.

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