Resolve DAT-authored particle ranges from the hardware GfxObj, apply retail distance and completed-cell visibility gates, and preserve the exact finite/infinite off-view update semantics. This removes dense-world simulation work without shortening terrain, entity, fog, or streaming distance.
Publish doorway-clipped outdoor cells through a focused frame controller, retain effect cell identity for outdoor statics, reject hidden emitters before particle-slot scans, and offer an explicit opt-in Extended particle range.
Release build succeeds and all 5,857 tests pass with five intentional skips. Retail-conformance, architecture, and adversarial review cycles are clean; connected Aerlinthe visual/performance gate pending.
Co-authored-by: OpenAI Codex <codex@openai.com>
Route accepted Hidden and UnHide transitions through retail's internal typed-script path so their DAT scripts queue while the owner is cell-less and resume at the destination. Consume ACE's successful teleport control statuses silently, matching retail HandleFailureEvent.
Co-authored-by: OpenAI Codex <codex@openai.com>
Late-bind radar snapshots to the canonical LiveEntityRuntime maps so the retained radar survives bootstrap and session replacement instead of capturing empty sentinels.
Route paperdoll drops through the retail AutoWield blocker transaction. Move conflicting held weapons, shields, explicit jewelry destinations, and mismatched ammo to the backpack one authoritative confirmation at a time; preserve compatible arrows when switching to melee.
Render mode-1 and no-degrade particle GfxObjs as their authored modern-pipeline meshes, retain Always2D billboards, interleave both paths back-to-front, balance emitter mesh ownership, and fail safely on corrupt DAT material metadata. This restores the closed apex on Armor Self/protection effects.
Retain Studio fixture controller lifetimes, add installed-DAT and adversarial regression coverage, synchronize retail research/divergence bookkeeping, and pass all three review tracks plus the full Release suite.
Co-Authored-By: Codex <noreply@openai.com>
