Fast Ray-Axis Aligned Bounding Box Overlap Tests with Plucker Coordinates
Why this work is in the frame
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Bibliographic record
Abstract
Fast ray-axis aligned bounding box overlap tests can be performed by utilizing Pliicker coordinates. This method tests the ray against the edges comprising the silhouette of the box instead of testing against individual faces. Projection of the edges onto a two-dimensional plane to generate the silhouette is not necessary, which simplifies the technique. The method is division-free and successive calculations are independent and consist simply of dot product operations, which permits vectorization. The method does not compute an intersection distance along the ray to the box, but this can be added as an additional step. Storage of Pliicker coordinates is unnecessary, permitting integration into existing systems. Test results show the technique's performance is up to 93% faster than traditional methods if an intersection distance is not needed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it