Block B · L1 Merger
A single-matrix mirror autoencoder that takes two L0 latents and merges them into one 32-dim representation. 100% lossless across all 65,536 byte pairs.
Block B · Architecture
One shared weight matrix W (32×81). Encoder and decoder are mirror-tied through this single W — the smallest possible parameterisation for lossless merge.
Two L0 outputs (each 16-dim) are concatenated to form a 32-dim input. The merger's single W matrix projects this into 81 hidden neurons with C19 activation, then mirrors back to reconstruct both L0 vectors. The breakthrough finding (2026-04-19): this H=81 single-W architecture tied to 100% lossless with only 2,592 weight cells — half the cell count of the previous absorb_float champion.
Block B · Results
42% gap remains between current Huffman pack and the theoretical Shannon floor.
Block B · Artifacts
Block B · Roadmap
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