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Paper Citation Record · LEDGER

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.08306.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08306 v1

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measured 51 of 51 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

51 of 51 outbound references displayed

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Outbound references

Observation 4e57151f-8d7e-4f20-9b0d-2a360777f9f9 · outbound

This paper cites cosmic-ray [CR] hits.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data cosmic-ray [CR] hits

Reference 1

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This paper cites Borucki, David Koch, Gibor Basri, Natalie Batalha, Timothy Brown, Douglas Caldwell, John Caldwell, Jørgen Christensen-Dalsgaard, William D.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Borucki, David Koch, Gibor Basri, Natalie Batalha, Timothy Brown, Douglas Caldwell, John Caldwell, Jørgen Christensen-Dalsgaard, William D

Reference 2

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Observation c2e3f55c-d9ca-47e6-b87a-356015f9b0d6 · outbound

This paper cites reversible color transforms.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data reversible color transforms

Reference 3

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Observation 9e0d4a3d-afa0-43c6-994f-102527c57a99 · outbound

This paper cites R” and “G.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data R” and “G

Reference 5

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Observation 563480ba-7cb4-4566-b55e-2e263ae08777 · outbound

This paper cites exascale.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data exascale

Reference 6

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Observation 567d7b8b-a50e-42b4-86cd-fed449fd9f34 · outbound

This paper cites Neural data compression for physics plasma simulation.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Neural data compression for physics plasma simulation

Reference 7

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Observation ef105b36-a9c8-4dce-9d18-66991782cfb2 · outbound

This paper cites Accessed: 2024-11-28.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Accessed: 2024-11-28

Reference 10

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Observation f37b74ea-a21a-42c5-a594-41e9ec96eb2c · outbound

This paper cites Jenkins and Jeb Dunnuck.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Jenkins and Jeb Dunnuck

Reference 12

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Observation 9e725066-4180-4daf-8025-d9cbdcf67166 · outbound

This paper cites Accessed: 2024-11-28.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Accessed: 2024-11-28

Reference 14

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Observation 4edfb251-95f5-410c-859a-edbddaf9168f · outbound

This paper cites Nodirkhuja Khujaev, Roman Tsoy, and Seungryul Baek.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Nodirkhuja Khujaev, Roman Tsoy, and Seungryul Baek

Reference 15

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Observation 6b7b2dca-f342-44d1-a1f6-71d954a5a1f3 · outbound

This paper cites Anji Liu, Stephan Mandt, and Guy Van den Broeck.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Anji Liu, Stephan Mandt, and Guy Van den Broeck

Reference 16

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This paper cites an unresolved cited work.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Unresolved cited work

Reference 17

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Observation 443ccd4a-3ac9-430c-87b8-187b5a7887be · outbound

This paper cites VCT: A Video Compression Transformer.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data VCT: A Video Compression Transformer

Reference 18

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This paper cites com/watch?v=84XkOlBhOas.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data com/watch?v=84XkOlBhOas

Reference 19

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Observation 0a52c44a-3ed1-4e28-9cf8-aba5e13b1344 · outbound

This paper cites nasa.gov/wp-content/uploads/2024/07/ig-24-014.pdf.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data nasa.gov/wp-content/uploads/2024/07/ig-24-014.pdf

Reference 21

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Observation 67e99d91-4643-4be3-8ce4-f1ea75150538 · outbound

This paper cites Accessed: 2024-11-28.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Accessed: 2024-11-28

Reference 22

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Observation 1ff6c1c6-2ff8-434f-a7ae-ee9778277414 · outbound

This paper cites photutils.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data photutils

Reference 25

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Observation 3fdcbe64-35b8-455a-905b-17d4b2e3ccf9 · outbound

This paper cites readthedocs.io/en/stable/.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data readthedocs.io/en/stable/

Reference 26

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Observation c44aee48-cfc7-4e88-a731-de68b8c05c03 · outbound

This paper cites Aurko Roy, Mohammad Saffar, Ashish Vaswani, and David Grangier.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Aurko Roy, Mohammad Saffar, Ashish Vaswani, and David Grangier

Reference 28

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Observation 06e99c86-9e29-4342-ad70-38d8d522ffbf · outbound

This paper cites Becker, Peter J.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Becker, Peter J

Reference 29

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This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Progressive Distillation for Fast Sampling of Diffusion Models

Reference 30

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This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 31

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Observation 490dfdd0-1610-4740-bd0e-7024ebf0c392 · outbound

This paper cites Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey Fox, and Tony Hey.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey Fox, and Tony Hey

Reference 34

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Observation d77d7f3d-36c6-4409-a934-710a9f701d94 · outbound

This paper cites Efficient Diffusion Models for Vision: A Survey.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Efficient Diffusion Models for Vision: A Survey

Reference 36

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This paper cites Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, and Xianming Liu.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, and Xianming Liu

Reference 37

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This paper cites Diffusion Models for Probabilistic Deconvolution of Galaxy Images.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Diffusion Models for Probabilistic Deconvolution of Galaxy Images

Reference 38

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AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Diffusion Models for Probabilistic Deconvolution of Galaxy Images

Reference 39

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AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Improving inference for neural image compression

Reference 40

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This paper cites Each camera has its own filter wheel allowing for imaging in a variety of different bandpasses.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Each camera has its own filter wheel allowing for imaging in a variety of different bandpasses

Reference 42

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This paper cites Stripe 82.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Stripe 82

Reference 44

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AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data camcols”) “field

Reference 45

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This paper cites For 3D experiments, we increased the base convolution filter size and adjusted the latent channel size to 96 and 8, respectively.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data For 3D experiments, we increased the base convolution filter size and adjusted the latent channel size to 96 and 8, respectively

Reference 49

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AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data duplicated

Reference 128

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This paper cites L3CWe adopted the implementation from Mentzer et al.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data L3CWe adopted the implementation from Mentzer et al

Reference 256

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This paper cites Petr Pata and Jaromir Schindler.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Petr Pata and Jaromir Schindler

Reference 1995

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This paper cites Practical Lossless Compression with Latent Variables using Bits Back Coding.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Practical Lossless Compression with Latent Variables using Bits Back Coding

Reference 1998

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Observation 48902cec-c330-4ca9-9283-14c1dcad2639 · outbound

This paper cites telescope.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data telescope

Reference 2000

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Observation 78a754ec-38e8-4ee8-910f-95992bb57eda · outbound

This paper cites an unresolved cited work.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Unresolved cited work

Reference 2002

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Observation 892fd3b1-17ba-4c40-8f45-6cae7683097c · outbound

This paper cites Chris Stoughton et al.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Chris Stoughton et al

Reference 2005

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Observation e21104a1-a7ac-469a-a342-2aa5b150220c · outbound

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AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Unresolved cited work

Reference 2009

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Observation 17b168cc-830f-40ce-ad9a-86e0f21c4185 · outbound

This paper cites Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, and Stan Z Li.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, and Stan Z Li

Reference 2010

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Observation b451150b-296d-49cf-a379-1a98498ebcec · outbound

This paper cites URLhttps://doi.org/10.1117/12.897767.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data URLhttps://doi.org/10.1117/12.897767

Reference 2011

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Observation d1f3d161-daa1-4dcb-b9da-a35936307166 · outbound

This paper cites Accessed: 2024-11-28.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Accessed: 2024-11-28

Reference 2014

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Observation ac5ec39f-7b68-483f-af27-ff11e9fcc0a3 · outbound

This paper cites an unresolved cited work.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Unresolved cited work

Reference 2015

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Observation 6162a33d-5b63-4c67-9eb4-e035a14b7aa4 · outbound

This paper cites International networking in support of extremely large astronomical data-centric operations.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data International networking in support of extremely large astronomical data-centric operations

Reference 2017

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Observation 80ae5d59-537e-45b3-9312-8dd11e9953a8 · outbound

This paper cites Jonathan P.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Jonathan P

Reference 2018

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Observation 6313de3e-7d19-4545-afb1-fde8f198bce9 · outbound

This paper cites URL https://link.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data URL https://link

Reference 2019

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Observation 8ed8f579-b344-4eee-90be-aad113f0986f · outbound

This paper cites Lucas Hayne, John Clyne, and Shaomeng Li.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Lucas Hayne, John Clyne, and Shaomeng Li

Reference 2021

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Observation 58e88cf1-e951-44f4-8169-303e2889a940 · outbound

This paper cites Accessed: 2024-11-28.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Accessed: 2024-11-28

Reference 2022

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Observation 41a90756-7bb8-48f2-9bb5-6bf50d16fa49 · outbound

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AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Unresolved cited work

Reference 2023

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Observation 9d8d5643-5ab3-4983-b357-58148660a897 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Generating Long Sequences with Sparse Transformers

Reference 2024

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Pith citing papers

No inbound Pith citation observations are available.