---
format: "aidr-story-markdown/v1"
id: "221066da401d8b34767f44ddfd503b67d6f99444a2d3b9d8737de92a1dcc2481"
canonical_url: "https://aidr.today/221066da?lang=en"
title: "Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
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published_at: "2026-11-03T00:00:00.000Z"
category: "Research"
topics: ["reasoning"]
source_urls: ["https://huggingface.co/papers/2610.39419"]
summary: "Multimodal large language models struggle to reason reliably over visual content due to a reference gap. ReGap-Bench is a paired benchmark of five visual reasoning tasks. Task-matched references improved accuracy by up to 25\\%."
---

# Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning

> [Open the canonical story](<https://aidr.today/221066da?lang=en>)

**Published:** 2026-11-03T00:00:00.000Z
**Category:** Research
**Topics:** reasoning

## Summary

Multimodal large language models struggle to reason reliably over visual content due to a reference gap\. ReGap\-Bench is a paired benchmark of five visual reasoning tasks\. Task\-matched references improved accuracy by up to 25\\%\.

## Sources

- [Story source](<https://huggingface.co/papers/2610.39419>)