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StateSight: Benchmarking Latent Spatial-State Reconstruction in Vision-Language Models

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.20414v1 Announce Type: new Abstract: Vision-language models are increasingly used for multimodal question answering, yet their ability to reconstruct latent spatial structure from a single image remains difficult to isolate. Broad benchmarks often combine perception, optical character re…

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  1. 2026-08-24 04:00 · arXiv cs.AI
    StateSight: Benchmarking Latent Spatial-State Reconstruction in Vision-Language Models

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