Carry one immutable prepared collision closure with each accepted near-tier generation and install graph plus flat views through the same retained publication receipt. Apply the same strict package-only rule to live entities, add exact sampled graph-authoritative comparison artifacts and lifecycle counters, and prove cancellation, demotion, rehydrate, revisit, teardown, reconnect, and the nine-stop route with 14,064 zero-mismatch samples.
Co-authored-by: OpenAI Codex <codex@openai.com>
Make the incremental render scene the production entity source at the existing retail PView stages while retaining the accepted dispatcher upload and draw executor. Keep diagnostics consumer-gated, retain ordered indices across unchanged frames, refresh only dirty records, and preserve exact mesh-load, selection, alpha, lighting, and route lifecycle semantics.
Inbound state continues while portal reveal blocks ordinary world simulation. Synchronize only the derived render projection after those hidden-frame network and command phases so the first revealed draw cannot observe a stale live transform, without advancing effects, particles, attachments, or lights.
Retain appearance classification per projection while refreshing transforms, clip slots, lights, selection lighting, and group instance payloads each frame. Incomplete resources and active animation remain on the live classification path, and only an exact full packed comparison acknowledges scene dirtiness.
Build a compare-only dispatcher classifier from RenderFrameView and compare complete opaque, alpha, selection, clip, light, texture, transform, and draw payloads against the accepted path. Preserve retail's stable equal-CYpt ordering with explicit draw-local submission ordinals so material-group history cannot affect alpha ties.
Build a same-frame candidate product from incremental render-scene indices and compare its exact PView routes against the accepted current path without changing the production draw source.
Move the ordinary shadow-scene drain out of the conditional spatial reconciler and into an explicit final update-frame commit phase. This publishes deltas after streaming, network, teleport, camera, and conditional reconciles even while world simulation is quiesced.
Release gate: 3,733 App tests / 3 skips; 8,217 complete-solution tests / 5 skips.
Co-Authored-By: OpenAI Codex <codex@openai.com>
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.
Extend the non-drawing oracle through ordered PView routes, dispatcher visibility and final instance payloads, and accepted retail selection parts. Lifecycle artifacts can now referee the later shadow scene without influencing production visibility or draw decisions.
Capture deterministic, landblock-aware fingerprints from the accepted partition only during lifecycle automation. This gives the F/G shadow scene an independent oracle without changing normal draw decisions or adding disabled-path per-entity cost.
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.
Correct whole-frame GPU timestamps so they bracket only the accepted render transaction and associate delayed query results with the owning CPU frame. Add route-wide frame-history summaries, fixed-camera screenshot comparison, process counters, contention traces, a pinned Arwic workload, and credential-safe launch disclosure.
The reference hardware/display contract now keeps local and RDP populations separate and defines the screenshot and re-baseline rules needed by later prepared-content gates.
Co-Authored-By: Codex <noreply@openai.com>
An adversarial performance review found our own instruments cannot
measure the project's own performance gates:
- FrameProfiler aggregated CPU/GPU/alloc/stage samples into ~5-second
windows and reset the ring buffers after each report, so route-wide
p50/p95/p99 distributions across a whole soak could not be
reconstructed after the fact. ACDREAM_FRAME_HISTORY=<path> now opts
into a separate per-frame history (one record per frame, ~72
bytes/record, accumulated in memory with zero frame-thread I/O) that
a shutdown-only Dispose() writes as CSV. The aggregated [frame-prof]
report format and its existing metrics are unchanged.
- The canonical checkpoint JSON tracked cache residency (entry/byte
counts) but never LOH size/fragmentation, process-wide allocated
bytes, or cache hit/miss/eviction traffic — a committed audit JSON
showed 65% LOH fragmentation that no tracked instrument recorded,
and "does a revisit portal hit or miss the caches" was unanswerable
from an artifact alone. WorldLifecycleResourceSnapshot now carries
loh_size_bytes/loh_fragmentation_bytes (GCMemoryInfo.GenerationInfo
index 3), process_total_allocated_bytes (GC.GetTotalAllocatedBytes),
and Interlocked hit/miss/eviction counters for the CPU mesh cache,
decoded-texture cache, and the four bounded DAT-object caches
(portal/cell/highRes/language, aggregated).
- run-connected-r6-soak.ps1 unconditionally forced
ACDREAM_UNCAPPED_RENDER=1 with no capped mode, while its sibling
lifecycle-gate script correctly gated it behind a switch. Added
-Uncapped (default capped, matching the sibling script's pattern),
fixed the stationary dwell (12s -> 26s, past the 25s
LiveEntityLivenessController deadline the adjacent comment already
cited), and now write an env-disclosure.json into the automation
artifact directory before every launch listing every ACDREAM_* var
the script sets plus -Uncapped, since the prior audit could only see
ACDREAM_DUMP_MOVE_TRUTH and nothing else was ever recorded anywhere.
Cache counters are wired via the existing composition path
(ObjectMeshManager already owns the CPU mesh cache and the mesh
extractor directly; content.Dats is threaded into
WorldLifecycleResourceSnapshotSource the same way every other
composition consumer receives it). The DAT-object cache lives behind
IDatReaderWriter, a third-party interface from the DatReaderWriter
package that cannot be extended; RuntimeDatCollection (the one
production implementation) exposes the aggregate stats directly and a
pattern match reads them, degrading to zero for any test double —
no new static registry was introduced (GpuMemoryTracker remains the
one precedented process-wide static).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
(cherry picked from commit 1da2c33c875b41fa383dd79694ee2765f0e21896)
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>
Make scripted lifecycle checkpoints acknowledged post-diagnostics render barriers, capture the exact frame outcome beside canonical resource ownership, and harden the nine-stop route with ordered same-location cache and lifetime gates without weakening process residency thresholds.
Co-authored-by: Codex <codex@openai.com>
Move the complete update/render construction graph into a typed Phase-8 owner, explicitly carry the content dependencies it consumes, and publish both roots through one exact lease. Extract lifecycle resource sampling and frame-owned late bindings so partial startup and shutdown withdraw the same generation without window callbacks.
Co-authored-by: Codex <codex@openai.com>
