Construct Slice F's non-drawing scene only for lifecycle automation, drain accepted static and live deltas at the final update boundary, and compare exact current-path fingerprints at cadence and checkpoints. Publish bounded mismatch, journal, index, digest, and memory evidence without changing normal launches or draw submission.
Release: 8,211 passed, 5 skipped.
Join destination scheduling to the canonical reveal generation, protect its share across every typed frame-budget dimension, and prevent stale work from clearing a replacement reservation. Remove forced incomplete materialization and project retail's centered portal wait cue while the authored tunnel remains active.
Tests: Release build clean; 91 focused reservation/reveal tests; full solution 8,158 passed, 5 skipped.
Co-authored-by: Codex <noreply@openai.com>
Publish the retail blocking-for-cells edge before deferred recenter work, freeze old-world presentation/simulation/audio, and advance full-window retirement from exact metered entity and owner cursors. This removes synchronous portal teardown without allowing retained owners to remain observable.
Complete Slice D3 by replacing the unbounded animation dictionary with a concurrent byte/count LRU and by putting the three retail alpha scratch owners behind one typed aggregate budget. Preserve immediate growth and draw order while reclaiming one-frame density spikes after sustained under-use. Close stale bounds-cache issue evidence without inventing a cache.
Render assessed creatures through the shared private viewport with retail heading, bounding-box camera, and light. Build the exact authored nine-row stat list and resolve creature names from the retail EnumMapper while keeping remaining font/sequencer adaptations explicit.
Co-authored-by: Codex <codex@openai.com>
Preserve prepublication local motion completion, require the PartArray enter-world lifecycle port, and balance deferred Use busy ownership across dispatch and cancellation. Reconcile the completed GameWindow connected gates and add regression coverage.
Co-authored-by: Codex <codex@openai.com>
