ASTRANet combines a redshift-free spectral classifier, a 16-score anomaly detector, and conformal prediction to identify and calibrate uncertainty for out-of-taxonomy astronomical transients.
Guptaet al., arXiv e-prints (2025),Update with ac- tual MCIF reference., 2503.00000
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Entropy Gate applies entropy quenching with adaptive temperature schedules and multi-factor token energies to achieve 40-60% compression in LLM prompts while keeping semantic similarity above 0.80.
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Catching Disguised Transients with ASTRANet: Anomaly-Aware Spectroscopic Classification and Conformal Calibration
ASTRANet combines a redshift-free spectral classifier, a 16-score anomaly detector, and conformal prediction to identify and calibrate uncertainty for out-of-taxonomy astronomical transients.
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Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines
Entropy Gate applies entropy quenching with adaptive temperature schedules and multi-factor token energies to achieve 40-60% compression in LLM prompts while keeping semantic similarity above 0.80.