Silent Failures In Multimodal Agentic Searcha Diag

---
name: silent-failures-in-multimodal-agentic-searcha-diag
description: 'Skill generated from arXiv paper 2607.19793: Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation'
metadata:
  {
    "arxiv": {
      "id": "2607.19793",
      "title": "Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation",
      "authors": ['Zhengxian Wu', 'Junjie Gao', 'Kai Yang'],
      "published": "2026-07-22",
      "categories": ['cs.AI', 'cs.CV'],
      "url": "https://arxiv.org/abs/2607.19793",
      "utility": 1.0
    }
  }
---
# Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation

**arXiv:** 2607.19793  
**Published:** 2026-07-22  
**Authors:** Zhengxian Wu, Junjie Gao, Kai Yang  
**Categories:** cs.AI, cs.CV  
**Utility:** 1.00

## Key Innovation
Multimodal agentic search systems increasingly rely on external tools to answer knowledge-intensive visual questions. However, existing evaluations mainly focus on final-answer accuracy and may miss failures in the search trajectory. In this work, we study such hidden reliability issues as silent failures. We introduce a six-category taxonomy covering modality shortcuts, phantom grounding, wrong-evidence-right-answer cases, over-retrieval laundering, cross-modal contradiction, and provenance hal...

## Potential Application
This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.AI, cs.CV.

## References
- arXiv: https://arxiv.org/abs/2607.19793