SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning

arXiv:2609.00342 · cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Accuracy — 13× in this paper · explained in 1 episode
• Consistency — 10× in this paper · explained in 3 episodes
• Ontology — 7× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Agentic System — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Agentic Reasoning — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Grounding — 2× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 2× in this paper · explained in 2 episodes
• Training-Free Framework — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Active Perception — 1× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• Navigating Gigapixel Pathology Images with Large Multimodal Models
• PathAgent: Toward Interpretable Analysis of Whole-slide Pathology Images via Large Language Model-based Agentic Reasoning
• Agentic Visual Reasoning in Whole-Slide Pathology Images via Active Perception
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction
• PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs
• EviPathBench: Benchmarking Evidence Acquisition and Reasoning in Vision-Language Models for Whole-Slide Pathology
• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis
• MemGPT: Towards LLMs as Operating Systems
• Evidence-based diagnostic reasoning with multi-agent copilot for human pathology
• Beyond Relevance: Bayesian Evidence Acquisition for Agentic Whole-Slide Image Reasoning
• A-MEM: Agentic Memory for LLM Agents
• PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA
• G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

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