Classification target LinkedIn Zip #479. Grid 7×7. Checkpoint count 10. Wall sample 12. Pattern tag: dense-wall maze. Segment vector: 1→2 (5 cells), 2→3 (13 cells), 3→4 (5 cells), 4→5 (2 cells), 5→6 (5 cells), 6→7 (5 cells), 7→8 (5 cells), 8→9 (12 cells), 9→10 (5 cells).
Board spotlight: Many blocked edges narrow your options early — map wall bottlenecks before tracing toward the next numbered checkpoint. Wall count 12 on 7×7 shapes which corridors stay open between numbered cells.
Sample segment 1: 1→2. Length 5. Walls crossed: 0.
Sample segment 2: 2→3. Length 13. Walls crossed: 0.
Sample segment 3: 3→4. Length 5. Walls crossed: 0.
Sample segment 4: 4→5. Length 2. Walls crossed: 0.
Sample segment 5: 5→6. Length 5. Walls crossed: 0.
Sample segment 6: 6→7. Length 5. Walls crossed: 0.
Sample segment 7: 7→8. Length 5. Walls crossed: 0.
Sample segment 8: 8→9. Length 12. Walls crossed: 0.
Sample segment 9: 9→10. Length 5. Walls crossed: 0.
Lab result: Dense-wall maze. 49 cells. 12 walls. 1→2 (5 cells, R4C2→R4C6); 2→3 (13 cells, R4C6→R2C2); 3→4 (5 cells, R2C2→R2C6); 4→5 (2 cells, R2C6→R3C6); 5→6 (5 cells, R3C6→R3C2); 6→7 (5 cells, R3C2→R5C2); 7→8 (5 cells, R5C2→R5C6); 8→9 (12 cells, R5C6→R6C2); 9→10 (5 cells, R6C2→R6C6).