Classification target LinkedIn Zip #489. Grid 8×8. Checkpoint count 10. Wall sample 18. Pattern tag: dense-wall maze. Segment vector: 1→2 (7 cells), 2→3 (16 cells), 3→4 (2 cells), 4→5 (3 cells), 5→6 (17 cells), 6→7 (7 cells), 7→8 (6 cells), 8→9 (7 cells), 9→10 (7 cells).
Board spotlight: Many blocked edges narrow your options early — map wall bottlenecks before tracing toward the next numbered checkpoint. Wall count 18 on 8×8 shapes which corridors stay open between numbered cells.
Sample segment 1: 1→2. Length 7. Walls crossed: 0.
Sample segment 2: 2→3. Length 16. Walls crossed: 0.
Sample segment 3: 3→4. Length 2. Walls crossed: 0.
Sample segment 4: 4→5. Length 3. Walls crossed: 0.
Sample segment 5: 5→6. Length 17. Walls crossed: 0.
Sample segment 6: 6→7. Length 7. Walls crossed: 0.
Sample segment 7: 7→8. Length 6. Walls crossed: 0.
Sample segment 8: 8→9. Length 7. Walls crossed: 0.
Sample segment 9: 9→10. Length 7. Walls crossed: 0.
Lab result: Dense-wall maze. 64 cells. 18 walls. 1→2 (7 cells, R2C7→R3C2); 2→3 (16 cells, R3C2→R4C6); 3→4 (2 cells, R4C6→R4C5); 4→5 (3 cells, R4C5→R5C4); 5→6 (17 cells, R5C4→R7C2); 6→7 (7 cells, R7C2→R6C7); 7→8 (6 cells, R6C7→R6C2); 8→9 (7 cells, R6C2→R5C3); 9→10 (7 cells, R5C3→R3C7).