Erratum: Holographic scattering and non-minimal RT surfaces
Bibliographic record
Abstract
From our paper, one might expect that the u < d condition on extremal surfaces is necessary and sufficient for holographic scattering in all pure states under consideration.In this erratum, we would like to emphasize a small caveat to this statement. 1 Consider a defect geometry with |M | > 1/4.Due to the effect discussed in figure 25, there exist configurations of boundary regions such that the u candidate does not exist.In such cases, it does not make sense to say that the u < d relation controls holographic scattering.(Indeed, one can check in examples that the absence of u is consistent with both scattering and not-scattering.)In Version 2 of our paper on the arXiv, we have added explanations of this point in footnote 3 on page 8, at the bottom of page 10, and in footnote 9 on page 21.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".