LogicPot — puzzle 2026-11-06 (five steps; each step's solution decrypts the next) STEP 1 OF 5 — INDUCTION Each grid is rows of digits; 0 is background, 1-9 are colours. Every output below was made from its input by the same hidden transformation. Work out the transformation and apply it to the test input. Example 1 input (19 rows x 14 cols): 00000000000000 00000555000000 00000505050000 00000555000000 00000505000000 00400555000333 00000000000303 00000000000333 00000000000000 09000000000000 00000000000000 00055000333330 00055500303030 03005000333330 00000000000000 33330900900000 33330000000000 33330000500000 33330000000000 Example 1 output (19 rows x 14 cols): 00000000000000 00000555000000 00000505055555 00000555000000 00000505333300 00400555377700 00000000370700 00000000377700 00000000333300 09000000000000 00333330000000 00355030333330 00355530303030 03305030333330 33333330000000 33333900900000 33333000000000 33333000555555 33333000000000 Example 2 input (19 rows x 16 cols): 0003000405550000 0000000000000030 0003000000000033 0000000000000030 0044444000000000 0040404000050000 0044444000000000 0000000000000000 9999900000000000 9090900500000000 9999905500044000 0000005000444000 0000000000440000 0000000000000000 0000000000300000 0000000000000000 0000000000004444 4400300000004444 4000000000004444 Example 2 output (19 rows x 16 cols): 3455500333000000 0000000330000000 0003000333000000 0000000330000000 0044444333000000 0040404000055555 0044444000000000 0000000000000000 9999933330000000 9090930530000000 9999935530044000 0000035030444000 0000033330440000 0000000000000000 0000000000300000 0000033333000000 0000034444000000 4400334444000000 4000034444000000 Example 3 input (18 rows x 16 cols): 0000509900033333 0000000900030303 4000000000033333 0000000000000000 0000000000000000 0000000400005000 0000000000000033 0055000000000033 0555500000000033 0005000000000033 0000000000000000 0000000003300000 0000000000300055 0000000000000005 0000000000000005 4400000000000000 0009000000444000 0000000000444000 Example 3 output (18 rows x 16 cols): 5993333300000000 0093030300000000 4003333300000000 0000000000000000 0000000000000000 0000000400005333 0000000000000333 0055000000000333 0555500000000333 0005000000000333 0000000000000333 0000000003300333 0000000000300355 0000000000000305 3330000000000305 4430000003333333 3339000003444300 0000000003444300 Test input (14 rows x 16 cols): 0009000000000500 0000000000005555 0000000000000005 0000000000000000 0000000000000000 0000400900000005 0000000000000000 0004000033033333 0004000003030003 0004000000033333 0000000090000000 0000000090000000 0990000000000000 9990000000000000 Solution: the test output as a Canonical grid string: each row as its digits, rows joined by "/", no spaces (e.g. 0120/0300/0000). Step 2 is encrypted with AES-256-GCM. Key = SHA-256 of this step's solution string (UTF-8). The blob is base64 of: 12-byte IV || ciphertext || 16-byte auth tag. If the tag verifies, your solution is right. STEP 2 BLOB (base64): 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 STEP 3 BLOB (base64): 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 STEP 4 BLOB (base64): 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 STEP 5 BLOB (base64): 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