The Evaluation of Two-Step Landing Characteristics for SLIM
Why this work is in the frame
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Bibliographic record
Abstract
The Small Lunar Landing Demonstration spacecraft, SLIM, planned to land using a new method called the two-step landing. On January 20, 2024 (JST), SLIM successfully achieved a soft landing while maintaining functionality. However, the attitude and speed before touchdown deviated from expectations, leading to the postponement of the two-step landing method demonstration to a future mission. This method is particularly effective for landing on gravitational bodies using elongated spacecraft that fully utilize the rocket's fairing envelope, especially on sloped terrain or for small exploratory spacecraft with strict mass reduction requirements. This paper presents an analysis based on the landing dynamics simulations conducted for SLIM, focusing on factors such as the forces acting on the shock absorbers and the spacecraft during landing, as well as trends in attitude and terrain that contribute to stabilizing the two-step landing.
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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 | 0.002 | 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 | 0.001 | 0.002 |
| 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