Instantaneous Cycle-Slip Correction for Real-Time PPP Applications
Why this work is in the frame
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Bibliographic record
Abstract
Real-time precise point positioning (PPP) is limited to only a few applications using a moving receiver because the quality of the solution is vulnerable to interruptions in signal tracking. A loss of lock on all GPS signals simultaneously implies that users may have to wait for several minutes before again obtaining cm-level precision. To avoid such a scenario, this paper proposes a method to instantaneously mitigate the impacts of signal interruptions and the resulting cycle slips. The approach is based on a time-differenced solution that allows for estimating the size of cycle slips in a least-squares adjustment. Once cycle slips are corrected, the PPP filter can be modified accordingly so as to prevent the occurrence of discontinuities in the positioning time series. The usefulness of the approach is demonstrated in selected applications such as geodynamics and car navigation.
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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 | 0.000 | 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