v0.3.3

[0.3.3] - 2026-08-13

Added

• Swipe typing now learns from verified suggestion-strip replacements and repeated immediate
  whole-word undo. The bounded preference model reranks both neural and deterministic decoder
  results, decays old evidence, and leaves unrelated candidate lists unchanged.
• A process-local typing quality snapshot reports coarse latency, confidence, candidate-count,
  outcome, decoder-source, correction, and model-readiness totals through Android's permission-
  gated service dump. It stores no typed text, gesture coordinates, editor identity, or event rows.
• The opt-in typing quality reporter compares content-free JSONL benchmark outcomes, including
  top-1 and top-k accuracy, wrong commits, abstentions, fallback use, latency percentiles,
  confidence calibration, before-and-after deltas, and explicit regression budgets.

Changed

• Neural swipe failover now reports which decoder produced each result instead of requiring the IME
  to infer provenance from model availability.
• Personal swipe preferences persist as salted word fingerprints with bounded strengths and logical
  ages. Incognito fields do not train the model, and clear-personalized-data removes the snapshot in
  the same fail-closed transaction as learned words, phrases, and touch calibration.
• Gesture preference files and temporary residues are excluded from legacy backup, cloud backup,
  and device transfer.

Verification

• JVM tests for adaptation, persistence, neural failover, IME wiring, concurrent aggregate
  collection, backup rules, and the JSONL writer pass. The Python report suite passes with Ruff,
  release lint, debug and minified release assembly, Android-test compilation, strict APK checks,
  release-script contracts, and exact locked-language regeneration.
• No Android device was connected for this release pass, and the optional donated real-swipe corpus
  was not downloaded. Physical typing feel and corpus-level improvement remain unmeasured.