Bibliographic record
Abstract
Let $X_{\mathbb R}$ be a geometrically irreducible smooth projective curve, defined over $\mathbb R$, such that $X_{\mathbb R}$ does not have any real points. Let $X = X_{\mathbb R}\times _{\mathbb R} \mathbb C$ be the complex curve. We show that there is a universal real algebraic line bundle over $X_{\mathbb R}\times \text {Pic}^d(X_{\mathbb R})$ if and only if the Euler characteristic $\chi (L)$ is odd for $L \in \text {Pic}^d(X_{\mathbb R})$. There is a universal quaternionic algebraic line bundle over $X\times \text {Pic}^d(X)$ if and only if the degree $d$ is odd. (Quaternionic algebraic vector bundles are defined only on a complexification.) Take integers $r$ and $d$ such that $r \geq 2$, and $d$ is coprime to $r$. Let ${\mathcal M}_{X_{\mathbb R}}(r,d)$ (respectively, ${\mathcal M}_{X}(r,d)$) be the moduli space of stable vector bundles over $X_{\mathbb R}$ (respectively, $X$) of rank $r$ and degree $d$. We prove that there is a universal real algebraic vector bundle over $X_{\mathbb R}\times {\mathcal M}_{X_{\mathbb R}}(r,d)$ if and only if $\chi (E)$ is odd for $E \in {\mathcal M}_{X_{\mathbb R}}(r,d)$. There is a universal quaternionic vector bundle over $X\times {\mathcal M}_X(r,d)$ if and only if the degree $d$ is odd. The cases where $X_{\mathbb R}$ is geometrically reducible or $X_{\mathbb R}$ has real points are also investigated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".