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ARXIV:2605.15198 · VISUAL REASONING · SUBMITTED 15 MAY · 20:12 UTC · FRESHNESS FRESH
ARXIV:2605.15198VISUAL REASONINGSUBMITTED 15 MAY · 20:12 UTCFRESHNESS FRESHZiyu Guo · Rain Liu · Xinyan Chen · Pheng-Ann Heng · arXiv
A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization.
Opportunity summary
Pain A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization.
Evidence 0 refs | 0 sources | 0% coverage
Blocker Evidence unverified
A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization. A straightforward approach is to directly generate images via…
Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally…
ScienceToStartup currently rates this 6.0/10 on the public viability pass. Extensive experiments and analyses demonstrate that ATLAS achieves superior performance on challenging benchmarks while maintaining clear interpretability. A public repository is linked, so build…
Visual Reasoning moved forward this cycle; last verified May 2026. Public score 6.0/10. Implementation evidence is present through a linked repository.
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A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization.
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10.48550/arXiv.2605.15198A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization.
Abstract
Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally expensive and architecturally non-trivial. Recent alternatives include agentic reasoning through code or tool calls, and latent reasoning with learnable hidden embeddings. However, agentic methods incur context-switching latency from external execution, while latent methods lack task generalization and are difficult to train with autoregressive parallelization. To combine their strengths while mitigating their limitations, we propose ATLAS, a framework in which a single discrete 'word', termed as a functional token, serves both as an agentic operation and a latent visual reasoning unit. Each functional token is associated with an internalized visual operation, yet requires no visual supervision and remains a standard token in the tokenizer vocabulary, which can be generated via next-token prediction. This design avoids verbose intermediate visual content generation, while preserving compatibility with the vanilla scalable SFT and RL training, without architectural or methodological modifications. To further address the sparsity of functional tokens during RL, we introduce Latent-Anchored GRPO (LA-GRPO), which stabilizes the training by anchoring functional tokens with a statically weighted auxiliary objective, providing stronger gradient updates. Extensive experiments and analyses demonstrate that ATLAS achieves superior performance on challenging benchmarks while maintaining clear interpretability. We hope ATLAS offers a new paradigm inspiring future visual reasoning research.
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PROBLEM
A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization. A straightforward approach is to directly generate images via unified models during reasoning,...
METHOD
Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally expensive and architecturally non-tr...
RESULT
ScienceToStartup currently rates this 6.0/10 on the public viability pass. Extensive experiments and analyses demonstrate that ATLAS achieves superior performance on challenging benchmarks while maintaining clear interpretability. A public repository is linked, so build verifica...
WHY NOW
Visual Reasoning moved forward this cycle; last verified May 2026. Public score 6.0/10. Implementation evidence is present through a linked repository.
Abstract-backed public claims while anchored extraction refreshes.
A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally expensive and architecturally non-trivial.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally expensive and architecturally non-trivial.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
ScienceToStartup currently rates this 6.0/10 on the public viability pass. Extensive experiments and analyses demonstrate that ATLAS achieves superior performance on challenging benchmarks while maintaining clear interpretability. A public repository is linked, so build verification can inspect implementation evidence instead of treating the paper as PDF-only.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Visual Reasoning moved forward this cycle; last verified May 2026. Public score 6.0/10. Implementation evidence is present through a linked repository.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
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A unified framework for visual reasoning that uses a single 'functional token' to represent both agentic operations and latent reasoning units, improving efficiency and generalization.
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Visual Reasoning
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