CM cycles on varieties fibered over Shimura curves, and «p»-adic «L»-functions
Bibliographic record
Abstract
Let f be a modular form of weight k ≥ 4 on a Shimura curve, let K be a quadratic imaginary field, and fix a rational prime p which is inert in K and di- vides the level of f. The goal of this thesis is to construct and study a collection of algebraic cycles on an appropriate Chow motive which encode data about the anticyclotomic p-adic L-function Lp(f,K,s) attached to f and K introduced by Bertolini-Darmon-Iovita-Spieß in [BDIS02]. In our setting, this function of a p-adic variable s vanishes in the critical range s = 1,...,k−1, and we study its derivative. After constructing this motive and the corresponding cycles, we compute their im- age under a p-adic analogue of the Griffiths-Weil Abel-Jacobi map, and show how this recovers the derivatives of the p-adic L-function at all the points in the critical range. Our main result can be viewed as a generalization of the result obtained by Iovita-Spieß in [IS03], which gives a similar formula for the “central” value s = k/2. It can also be seen as an extension of the construction of Bertolini-Darmon-Prasanna appearing in [BDP09] to the Shimura curve setting.
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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 | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".