Reversible representations
before the model.
A construction note, not a finished paper: what happens if the representation layer is treated as an explicit reversible machine rather than an invisible preprocessing footnote?
Abstract
OKC explores reversible transformations between raw data, structured token/ID streams, sidebands and model-facing representations. The central engineering constraint is exact recovery; the research question is whether structure exposed before entropy coding or prediction can improve inspectability, vocabulary pressure, latency, memory or downstream modelling in bounded regimes.
1. Construction premise
A representation should be measurable as a machine: input, state, output, inverse, delay, memory and failure conditions. Compression ratio alone is not enough to describe its deployment value.
2. Public proof trail
Rare1, Redumb/DUMB, IDStream and related public artifacts are partial evidence, not completion claims. The useful record includes what reconstructs exactly, what is benchmark-specific and what remains open.
3. Current questions
- Which reversible transforms admit bounded-delay streaming?
- When do sidebands reduce active representation pressure enough to matter downstream?
- Can deeper structural analysis teach a smaller bounded runtime?
- What should be stored or transmitted when the consumer is a model rather than a human parser?
4. Commercial boundary
The public working note is not the private research dossier. Private prototypes, deeper architecture, scoped transfer and commercial implementation are separate engagements.