loglens-nano — the benchmark models (128K–202K params)

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The two headline findings these models carry

1. Schedule geometry beats capacity: same model, same budget — a log- spaced memory schedule scores 0.90 where a sliding window scores 0.48; optimal K is width-independent across a 16× parameter range.
2. Coverage is information-sufficiency; guidance is learnability: full-coverage unguided tiling has every needed pixel (oracle ceiling 1.0) and learns nothing (0.25 floor); centered glimpses at the same resolution reach 0.991.

⚠ This card predates our model-card standard

It does not report: a baseline comparison, a measured failure rate, or what it refuses.

Every model we publish should state (1) the cheap baseline and the margin over it, (2) at least one named failure mode with a measured rate, (3) what the model refuses and why, and (4) label provenance. This card was written before that rule and has not been retrofitted, because the measurements needed no longer exist. Treat its numbers with more caution than our newer cards, and prefer a model that meets the standard where one exists.