Four continuous relaxations turn non-differentiable coverage and revisit calculations into a fully differentiable pipeline that optimizes satellite orbits via gradients and outperforms metaheuristics.
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2026 3verdicts
UNVERDICTED 3representative citing papers
Neural surrogates trained on a large homotopy-ray dataset approximate low-thrust fuel consumption and transfer times, obey a scaling law, and generalize via self-similar transformation across semi-major axes, inclinations, and central bodies.
Large-scale empirical test on 24,641 Starlink TLE pairs shows SGP4 matches or beats high-fidelity propagation for position accuracy out to 7 days, with median errors reaching tens of kilometers.
citing papers explorer
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Differentiable Satellite Constellation Configuration via Relaxed Coverage and Revisit Objectives
Four continuous relaxations turn non-differentiable coverage and revisit calculations into a fully differentiable pipeline that optimizes satellite orbits via gradients and outperforms metaheuristics.
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Pretrained Approximators for Low-Thrust Trajectory Cost and Reachability
Neural surrogates trained on a large homotopy-ray dataset approximate low-thrust fuel consumption and transfer times, obey a scaling law, and generalize via self-similar transformation across semi-major axes, inclinations, and central bodies.
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How long can you trust a Starlink TLE? An empirical comparison of SGP4 and high-fidelity propagation against operator-updated truth across a megaconstellation
Large-scale empirical test on 24,641 Starlink TLE pairs shows SGP4 matches or beats high-fidelity propagation for position accuracy out to 7 days, with median errors reaching tens of kilometers.