LogicPot — puzzle 2026-11-07 (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 (15 rows x 14 cols): 00000000666000 00000000000000 00033300004444 00030300404444 00033300000000 44030307000000 44033300000700 00000000000000 00000000000007 00000000000000 00006660000000 00006060000000 00006660040000 00006060000000 00006660000000 Example 1 output (15 rows x 14 cols): 44400000000000 00444440000000 00455540222200 00450542222200 00455540000000 44450547000000 44455547000000 00444440000000 70000000000000 00000000000000 55500000000000 50500000000000 55540000000000 50500000000000 55500000000000 Example 2 input (14 rows x 15 cols): 000000000000000 006660000000000 606060000700000 006660000000000 006060006000000 006660000000000 000000000000444 066033333000444 066030303000000 066033333000000 000000000000003 003000000000000 033300066600000 030000006000000 Example 2 output (14 rows x 15 cols): 000000000000000 055500004440000 550500004740000 055500004440000 050500004000000 055500044440000 000000042220000 665555542220000 665050544440000 665555500000000 300000000000000 030000000000000 333222000000000 300020000000000 Example 3 input (18 rows x 19 cols): 0000000000000000000 4444444003000060000 4000004000000000000 4000004000033333000 4003004000030003000 4000004000030003006 4000004003033333000 4444444000000000000 0000000000000000000 0000000004444406007 0077770004040400000 0077770004444400060 0077770000000000000 0000000000066600044 0000000000000600040 0000000700000000040 0000000000000330000 0003000000000330000 Example 3 output (18 rows x 19 cols): 0000000000000000000 4444444360000000000 4000004000000000000 4000004044444000000 4300004040004000000 4000004040004600000 4000004444444000000 4444444000000000000 0000000000000000000 0000555556700000000 5555505050000000000 5555555556000000000 5555000000000000000 5554400000000000000 0054000000000000000 7004000000000000000 0220000000000000000 2220000000000000000 Test input (16 rows x 15 cols): 666000000000777 000000000000007 000000300000007 000000000000000 000000000040300 033300000000000 033300333330000 000000300030000 000000333330000 600000000000000 000066006666600 000066006060600 000066006666600 000000000000000 000000000030000 000000000000000 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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