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Paper Citation Record · LEDGER

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model

As of 23 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2606.07771.

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pith.paper-citation-record.v1
2606.07771 v1

Coverage vector

measured 18 of 18 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T20:41:14.626706Z

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Reference resolution

18 of 18 outbound references displayed

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Outbound references

Observation e0e6dbb2-3977-47b6-bf07-863654dbe930 · outbound

This paper cites The Hyper Suprime-Cam SSP survey: Overview and survey design.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model The Hyper Suprime-Cam SSP survey: Overview and survey design

Reference 1

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Observation 73350742-609e-476e-b715-e00bd4d0d1ae · outbound

This paper cites Prediction of Star Formation Rates Using an Artificial Neural Network.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Prediction of Star Formation Rates Using an Artificial Neural Network

Reference 2

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Observation eb576a22-8690-48fd-9370-baff80b9b204 · outbound

This paper cites Constructing normalized nonconformity measures based on maximizing predictive efficiency.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Constructing normalized nonconformity measures based on maximizing predictive efficiency

Reference 3

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Observation 905fdfee-994d-496f-9aaa-d979f601e47d · outbound

This paper cites The DESI Experiment Part I: Science,Targeting, and Survey Design.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model The DESI Experiment Part I: Science,Targeting, and Survey Design

Reference 4

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Observation 7fa8f21b-91c5-4690-93fe-b4cf9e389c03 · outbound

This paper cites Schlegel, Dustin Lang, Robert Blum, Kaylan Burleigh, Xiaohui Fan, Joseph R.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Schlegel, Dustin Lang, Robert Blum, Kaylan Burleigh, Xiaohui Fan, Joseph R

Reference 5

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Observation 02d0e57f-df38-4dbd-8b42-9c2e6e0e6c68 · outbound

This paper cites Simul- taneous derivation of galaxy physical properties with multimodal deep learning.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Simul- taneous derivation of galaxy physical properties with multimodal deep learning

Reference 6

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Observation 10766df1-72a7-4515-b6e7-a34d6ba35c69 · outbound

This paper cites Prusti, J.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Prusti, J

Reference 7

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Observation de789b67-bf2b-4670-b546-147c2ef46af2 · outbound

This paper cites Dropout as a Bayesian approximation: Representing model uncertainty in deep learning.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Dropout as a Bayesian approximation: Representing model uncertainty in deep learning

Reference 8

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Observation c3c35cd8-b290-4fd1-912a-2aae89602302 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 9

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Observation 001c3625-34f1-4683-9c40-1dd78202804f · outbound

This paper cites Tibshirani, and Larry A.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Tibshirani, and Larry A

Reference 10

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Observation 84d406a2-2a02-4418-94bf-39123080ea3f · outbound

This paper cites Estimation of age and metallicity for galaxies based on multi-modal deep learning.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Estimation of age and metallicity for galaxies based on multi-modal deep learning

Reference 11

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Observation f7adb140-6b8b-4123-909f-0f2edb73573f · outbound

This paper cites Locally valid and discriminative prediction intervals for deep learning models.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Locally valid and discriminative prediction intervals for deep learning models

Reference 12

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Observation 74b93b5a-f913-4014-88d2-8a9a0f2d4a01 · outbound

This paper cites AstroCLIP: a cross-modal foundation model for galaxies.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model AstroCLIP: a cross-modal foundation model for galaxies

Reference 13

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This paper cites 2025, arXiv e-prints, arXiv:2510.17960, 10.48550/arXiv.2510.17960.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model 2025, arXiv e-prints, arXiv:2510.17960, 10.48550/arXiv.2510.17960

Reference 14

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Observation 635cd5fa-ce93-4b53-92eb-b68fff980bb5 · outbound

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Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Unresolved cited work

Reference 15

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Observation 648bfd3a-370f-4031-8a56-3769bdb88053 · outbound

This paper cites A Deep Multimodal Multi–Head Neural Network for Joint Estimation of Stellar Age, Lifetime, and Evolutionary Stage.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model A Deep Multimodal Multi–Head Neural Network for Joint Estimation of Stellar Age, Lifetime, and Evolutionary Stage

Reference 16

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Observation b17d1085-4324-4e81-b4da-6913943194a6 · outbound

This paper cites Algorithmic Learning in a Random World.

Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Algorithmic Learning in a Random World

Reference 17

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Observation 211b47a6-b736-4626-9760-f066e1546cb1 · outbound

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Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Unresolved cited work

Reference 18

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