The world smallest, most accurate and reliable pure inertial navigator: ONYX™
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
Safran HRG Crystal™ has widely proven its ability to fulfill performances requirements usually reached by optical technologies (RLG and FOG), with better SWaP characteristics and much higher reliability. Based on HRG Crystal™ innovative technology, Safran Electronics & Defense has developed ONYX™, the OEM INS module that delivers navigation grade performance and is perfectly suitable for SWAP-C oriented INS. ONYX™ is used in all applications: air, sea, space and, in the land sector, INS based on ONYX™ module can now achieve: 1 liter, 1 kilogram and submils azimuth accuracy. Benefitting from ONYX™ ultra-SWaP, Safran Electronics & Defense has developed a new inertial navigation system for precision navigation and pointing of combat and artillery vehicles. This product can reach outstanding performance, has the shortest alignment time of the market, and is ultra-robust. Being hard-mounted, the new Safran's land INS can be installed on any orientation without external support and stands high shocks, such as artillery gun firings. Thanks to Safran Electronics & Defense's HRG Crystal™ gyro, this new land INS is the most reliable product of the market. This product allows Safran Electronics & Defense to offer an innovative breakthrough in the INS market in terms of operational efficiency and product integration.
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 | 0.000 | 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