Annular non-crossing permutations and partitions, and second-order asymptotics for random matrices
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Bibliographic record
Abstract
We study the set $S_{ann-nc}$ of permutations of $\{1, ..., p+q \}$ which are non-crossing in an annulus with $p$ points marked on its external circle and $q$ points marked on its internal circle. The algebraic approach to $S_{ann-nc}$ goes by identifying three possible crossing patterns in an annulus, and by defining a permutation to be annular non-crossing when it does not display any of these patterns. We prove the annular counterpart for a ``geodesic condition'' shown by Biane to characterize non-crossing permutations in a disc. We point out that, as a consequence, annular non-crossing permutations appear in the description of the second order asymptotics for the joint moments of certain families (Wishart and GUE) of random matrices. We examine the relation between $S_{ann-nc}$ and the set $NC_{ann}$ of annular non-crossing partitions of $\{1, ..., p+q \}$, and observe that (unlike in the disc case) the natural map from $S_{ann-nc}$ onto $NC_{ann}$ has a pathology which prevents it from being injective.
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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 | 0.000 | 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 | 0.001 | 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 it