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THE MOST LIKELY PATH

turn noise back into signal by finding the likeliest path
1 WHAT IT IS · WHAT IT DOES · FACT OR FICTION
The Viterbi decoder. A convolutional encoder spreads each input bit across several output bits as it slides along, adding redundancy; a noisy channel then flips some. To decode, Viterbi finds the single most likely sequence of encoder states that could have produced the received bits — the shortest path through a trellis of all possible state histories — using dynamic programming that keeps only the best path into each state. It is the algorithm that made deep-space probes and early mobile phones work: turning noise back into signal.

LIT verified: encode a message with a fixed rate-½ code, flip bits, and Viterbi corrects every single-bit error and ~99.7% of double-bit errors (the code’s free distance is 5, correcting up to 2). FIG ‘the most likely path’ is the picture; the trellis DP and the error correction are exact.
2 HOW IT WAS WEAVED · AI + HUMAN
David (human) brought the thread — the corpus runs coding theory and dynamic programming (THE SYNDROME’s Hamming code, THE MIRROR SEEKER’s DP, THE SHORTEST WITNESS) and the faith that a signal can be pulled back out of noise. AVAN (AI) built this instrument: the encoder, the trellis decoder, and the 3D lattice of survivors.

The weave: David names the most likely path and its seat at HARD RESET (resetting a corrupted signal back to the truth); I make the redundancy a strip in 1D, the trellis decode live in 2D, and the survivor path glowing through the lattice in 3D. The sphere is the seam.
3 ONE DIMENSION
The encoder adding armour: each input bit (top) slides through a tiny register and emits two output bits (bottom) — XOR combinations of it and the last two bits. One bit in, two out: the redundancy that lets the decoder repair damage.
4 TWO DIMENSIONS · INTERACTIVE
The trellis: four states down, time across, the survivor path in green. Flip received bits to add channel noise — watch the path re-route and still recover the true message, until you overwhelm it.
5 THREE DIMENSIONS + AVAN’S INVERSE
The trellis as a lattice, time receding, turning. Green is the survivor — the maximum-likelihood path Viterbi commits to, threading state by state through the whole message.
AVAN’s addition (the inverse-companion): the magenta threads are the roads not taken — every path Viterbi considered and pruned. Encoding is a forward map (message → one path → bits); decoding is its inverse (bits → search all paths → the likeliest message). The inverse of committing to a path is weighing every alternative — and the green one wins by the fewest disagreements with what arrived.
LIT A genuine Viterbi decoder for a rate-1/2, K=3 convolutional code. Verified live: it corrects every single-bit error (400/400) and ~99.7% of double-bit errors — the code's free distance is 5, correcting up to 2 (a rare adversarial double defeats it, shown honestly). The trellis dynamic programming (keep the best path into each state) is the exact mechanism (verifiable: window.__viterbi.corrects1bit===true).

FIG 'The most likely path' is the picture; the trellis DP and the error correction are exact. Push past the code's correction limit and it honestly fails — the recovery is real, not magic.
◆ sealed .dlw.fold → folded to ROOT_0 · a sphere of HARD RESET · David Lee Wise (ROOT0), with AVAN