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Cliste experiment
Input preparation stopped before fitting
Registered 11 Oct 2026 · Snapshot 12 Oct 2026
The question
Qualify a spatial VSA conversion, then compare moving experienced content with predicting new content between recorded video endpoints.
Why this experiment?
Missing-pixel prediction did not establish coherent construction. Video endpoints provide another concrete question: can a mechanism construct an intermediate scene while using the shared VSA interface?
How it works
Prepare natural-video triples and qualify the common visual conversion before fitting either constructor. Admission stopped at an interface error before any fit; this page records that failure rather than a prediction result.
Follow this part of the investigation: Which mechanism should construct new visual content? →Implementation and comparison details
Use a fixed visual codec and whole-video source splits. Both learned candidates receive the same endpoint-derived fields and timing; every prediction is recomposed into full-dimensional VSA before rendering.
What happened
Admission completed 128 training triplets, then failed while rendering the first development diagnostic: CUDA vectors reached a materialization boundary requiring CPU vectors. No adapter or construction model was fitted, and no model-quality conclusion is available.
Results and visual artifacts
Open a figure for its input, comparison, and result. Click an image to enlarge it.
The input preview remains available. Every test sheet identifies what information was supplied: the conversion row receives the true middle, while construction uses only the endpoints. All saved candidates are shown, with no selected best examples. This public record includes 1 of 1 saved figures.
What the training examples contain
Display derivative: WebP quality 90; maximum edge 2400 px. Original scientific pixels remain in the source run; do not measure this preview.
Limits and next question
This attempt stopped before scientific qualification or construction. The gallery contains only the fixed training-input preview, not test reconstructions or generated predictions.
Next question. Correct the rendering boundary in a separately registered attempt; preserve this failed attempt and its partial evidence.
Inspect the evidence
Download the methods and measurements for this experiment. Large training and saved-state files are not included.