Unverified50% confidenceBenchmarkExact time
Compared with single-step models of the same parameter count, Spatial-TRM's context accuracy improves by 44.0% relatively and 9.02 percentage points absolutely.
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Long-term
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10/19/2026
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UnverifiedOn the TSRBench benchmark, the model using only line graphs achieved an accuracy of 44.5%, while the dual-view model improved it to 53.2%, an improvement of nearly 9 percentage points.78% similarUnverifiedIn the experiment, unit completion accuracy increased from 72.4% to 84.9%, a gain of 12.5 percentage points.76% similarUnverifiedAfter introducing a gating mechanism based on the measurement metrics, accuracy improved from 20.7% to 36.9%, while the system still answered half of all comparisons.73% similarUnverifiedAmong the 12 model × task combinations, only gpt-5.4-mini showed a statistically significant accuracy improvement on the logical reasoning task: jumping from 15% to 97.5%, with p=0.00056 after Holm correction.73% similarUnverifiedWhen budget and timeline calculations were delegated to an external reliable process rather than inferred by the model itself, accuracy improved by as much as 42 percentage points on weaker models and only 2 to 5 percentage points on stronger models.73% similar
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