Bibliographic record
Abstract
Abstract Let E be an elliptic curve defined over ${{\mathbb{Q}}}$ which has good ordinary reduction at the prime p . Let K be a number field with at least one complex prime which we assume to be totally imaginary if $p=2$ . We prove several equivalent criteria for the validity of the $\mathfrak{M}_H(G)$ -property for ${{\mathbb{Z}}}_p$ -extensions other than the cyclotomic extension inside a fixed ${{\mathbb{Z}}}_p^2$ -extension $K_\infty/K$ . The equivalent conditions involve the growth of $\mu$ -invariants of the Selmer groups over intermediate shifted ${{\mathbb{Z}}}_p$ -extensions in $K_\infty$ , and the boundedness of $\lambda$ -invariants as one runs over ${{\mathbb{Z}}}_p$ -extensions of K inside of $K_\infty$ . Using these criteria we also derive several applications. For example, we can bound the number of ${{\mathbb{Z}}}_p$ -extensions of K inside $K_\infty$ over which the Mordell–Weil rank of E is not bounded, thereby proving special cases of a conjecture of Mazur. Moreover, we show that the validity of the $\mathfrak{M}_H(G)$ -property sometimes can be shifted to a larger base field K ′ .
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".