Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The results hitherto given are for localization operators L F,φ : X → X defined in terms of one admissible wavelet φ for the square-integrable representation π: G → U(X) of G on X. In this chapter we introduce the notion of a localization operator L F,φψ : X → X, which is defined in terms of a symbol F in L l (G) and two admissible wavelets φ and ψ for the square-integrable representation π: G →U(X) of G on X. It is proved in this chapter that L F,φ,ψ : X → X is in S 1 and a formula for the trace of L F,φ,ψ : X → X is given. These results extend, respectively, the corresponding results in Chapter 12 and Chapter 13 from the one-wavelet case to the two-wavelet case. We also give in this chapter the trace class norm inequalities for the localization operator L F,φ,ψ : X → X In order to obtain a lower bound for the norm ‖ L F,φ,ψ ‖ S 1 of L F,φ,ψ : X → X,we need the formula (9.1), which is an analogue of the resolution of the identity formula (6.3) for two admissible wavelets for an irreducible and square-integrable representation π: G → U(X) of G on X.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 it