SOURCE-LINKED INTELLIGENCE
Collapse, Not Complexity: Failure-Conditioned Decomposition Repair for End-to-End Document Parsing
End-to-end document parsers increasingly offer an optional reasoning mode for complex pages. On a 180-page entropy-stratified discovery sample with one frozen 4B checkpoint, complexity is the wrong decision variable. Reasoning lowers mean quality by 2.21 Overall at 1.54x tokens; a preregistered input-only model cannot predict its signed benefit (held-out AUROC 0.47, indistinguishable from chance). The benefit concentrates on pages whose ordinary pass has already collapsed, and they do not look complex: shared collapses have lower layout entropy than healthy ones yet consume 19x the tokens as d
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T12:23:36.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.