Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA
First paper: gives locating and reading separate role-specialized tool agents over a knowledge-point index.
AI Storyline
3 items · 3 sources · 2 days
Operational story trace
Multimodal Document
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Current stateDeveloping
Latest change
Two Oct 27 papers extend the thread: RouteDRAG learns to route and control agentic execution for multimodal document RAG, and DocXEval benchmarks explainability in document understanding models.
Earlier contextThe story so far
An Oct 9 arXiv paper split multimodal document QA agents into role-specialized locate, judge and read tools over a knowledge-point index. Until Oct 27, no follow-up appeared in the feed.
editor-curated · source-linked
State over time
● role-specialized agents · Oct 9routing + explainability · Oct 27 → now ●
- role-specialized agents · Oct 9
- routing + explainability · Oct 27 → now
ARCHITECTURE · Oct 9Role-specialized tool agents split locating from reading1 source · show source ▾
ROUTING · Oct 27RouteDRAG learns to route and control agentic execution1 source · show source ▾
RouteDRAG: Learning to Route and Control Agentic Execution for Multimodal Document RAG
Adds learned routing and execution control to agentic multimodal document RAG.
NOW · Oct 27DocXEval evaluates explainability of document models1 source · show source ▾
DocXEval: A Systematic Evaluation of Explainability in Multimodal Document Understanding
Shifts focus from accuracy to explainability evaluation of multimodal document understanding.
Day 1 Friday, Oct 9, 2026
Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA
First paper: gives locating and reading separate role-specialized tool agents over a knowledge-point index.
Day 2 Tuesday, Oct 27, 2026
RouteDRAG: Learning to Route and Control Agentic Execution for Multimodal Document RAG
Adds learned routing and execution control to agentic multimodal document RAG.
DocXEval: A Systematic Evaluation of Explainability in Multimodal Document Understanding
Shifts focus from accuracy to explainability evaluation of multimodal document understanding.
What to watch — open questions
- Do RouteDRAG or the locate-judge-read agents publish code or benchmark numbers on a shared multimodal document QA set?
- Does any production document-QA product adopt routed or role-specialized retrieval and reading stages?
- Do later papers report DocXEval explainability scores for the agentic RAG systems in this thread?
How this thread was built
editor wrote the arc · 3 beatswatcher 1 status change
Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.