Update README.md

README.md

@@ -158,29 +158,6 @@ At training checkpoints, the model produces its own `memory.md` through live CUA
 
 ---
 
-## Repository Structure
-
-```
-memory-archive-paradigm/
-├── images/
-│   ├── fig01.png               # Fig 1:  System Architecture
-│   ├── fig04.png               # Fig 4:  Training Pipeline Overview
-│   ├── fig05.png               # Fig 5:  SFT Training Example Construction
-│   ├── fig06.png               # Fig 6:  GRPO Training Loop
-│   ├── fig07.png               # Fig 7:  Memory Adherence Reward
-│   ├── fig08.png               # Fig 8:  Inference-Time Retrieval Pipeline
-│   ├── fig09.png               # Fig 9:  Two-Stage Retrieval Stack
-│   └── fig10.png               # Fig 10: Format Consistency Lifecycle
-├── .gitattributes
-├── .gitignore
-├── CITATION.cff                # Machine-readable citation
-├── LICENSE                     # CC BY-NC 4.0
-├── README.md
-└── memory_archive_paradigm.pdf # Compiled Paper
-```
-
----
-
 ## Memory Archive Tool
 
 The data collection system that generates the training corpus described in this paper is developed as part of **Project Dockyard**.