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Paper Citation Record · LEDGER

Linear Attention Modeling for Learned Image Compression

As of 9 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2502.05741.

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

pith.paper-citation-record.v1
2502.05741 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:11:50.670236Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:51:42.288679Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T15:09:54.772320Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c658041-edf6-43d2-94ab-ca7e018d9085 · outbound

This paper cites Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, and George Toderici.

Linear Attention Modeling for Learned Image Compression Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, and George Toderici

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bb1440a2-dd76-4323-bcf1-484f7e0e95d1 · outbound

This paper cites Simoncelli.

Linear Attention Modeling for Learned Image Compression Simoncelli

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 46fc9bf9-d91e-432d-8058-b8f968eace0a · outbound

This paper cites Variational image compression with a scale hyperprior, 2018.

Linear Attention Modeling for Learned Image Compression Variational image compression with a scale hyperprior, 2018

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dea836fe-702d-4d3f-bf8d-88cbb4a3e4c7 · outbound

This paper cites Sullivan, and Jens-Rainer Ohm.

Linear Attention Modeling for Learned Image Compression Sullivan, and Jens-Rainer Ohm

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.486031Z digest=sha256:fd4dcdcb6a7dc237dc99cd62e12cbd7258e9b60482793288abcd7baab8d32c42

Observation 6500078b-77d9-4fcb-a0d1-a60d384b3c97 · outbound

This paper cites CompressAI: A PyTorch library and evaluation platform for end-to-end compression research, 2020.

Linear Attention Modeling for Learned Image Compression CompressAI: A PyTorch library and evaluation platform for end-to-end compression research, 2020

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 175ec90a-0661-4cdb-895e-522ddfc9e56c · outbound

This paper cites Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding.

Linear Attention Modeling for Learned Image Compression Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Reference 6

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no resolver link, observed 2026-08-08T18:11:50.493486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fc3c425a-82eb-4521-b766-53ec7b7293d6 · outbound

This paper cites Learned Image Compression With Discretized Gaus- sian Mixture Likelihoods and Attention Modules.

Linear Attention Modeling for Learned Image Compression Learned Image Compression With Discretized Gaus- sian Mixture Likelihoods and Attention Modules

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a8eea176-bc8d-4d2e-993e-a89927dad6d9 · outbound

This paper cites The evolution of rwkv: Advancements in effi- cient language modeling, 2024.

Linear Attention Modeling for Learned Image Compression The evolution of rwkv: Advancements in effi- cient language modeling, 2024

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d8a27fba-c8a3-4ba3-9fb7-9244eaaf990a · outbound

This paper cites Vision-RWKV: Efficient and Scalable Visual Per- ception with RWKV-Like Architectures, 2024.

Linear Attention Modeling for Learned Image Compression Vision-RWKV: Efficient and Scalable Visual Per- ception with RWKV-Like Architectures, 2024

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5b7b609d-728e-4990-9f52-35e320e5ce20 · outbound

This paper cites Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

Linear Attention Modeling for Learned Image Compression Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 428b882f-b093-49c3-a0af-0c0e8e5c85ea · outbound

This paper cites Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models.

Linear Attention Modeling for Learned Image Compression Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8e88365c-e242-46a0-8fe5-d5a462d06ee1 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Linear Attention Modeling for Learned Image Compression Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

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no resolver link, observed 2026-08-08T18:11:50.517156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.517156Z digest=sha256:d83b2fd9731dfdb08a253a7b64a28dc2f3d6123ee97ae9b40af7e9c9682fc450

Observation cbfbc256-043a-437e-ab6c-ae16562492bd · outbound

This paper cites Mambair: A simple baseline for im- age restoration with state-space model.

Linear Attention Modeling for Learned Image Compression Mambair: A simple baseline for im- age restoration with state-space model

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2e489843-68e2-4f1f-9428-66079bc76207 · outbound

This paper cites ELIC: Efficient Learned Image Com- pression with Unevenly Grouped Space-Channel Contextual Adaptive Coding.

Linear Attention Modeling for Learned Image Compression ELIC: Efficient Learned Image Com- pression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-08T18:11:51.125898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7149897a-3dcf-4ad7-a3d3-9498aa3dae81 · outbound

This paper cites Deform-Mamba Network for MRI Super-Resolution.

Linear Attention Modeling for Learned Image Compression Deform-Mamba Network for MRI Super-Resolution

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7ee9ead4-5332-4ccf-9b2e-c5e15758c5b6 · outbound

This paper cites MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression.

Linear Attention Modeling for Learned Image Compression MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 98ec6be7-af36-4614-a886-69f12a4adabe · outbound

This paper cites Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina, and Eckehard Steinbach.

Linear Attention Modeling for Learned Image Compression Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina, and Eckehard Steinbach

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fe97cf47-1837-4105-85db-f28bb0b16737 · outbound

This paper cites Frequency-Aware Transformer for Learned Image Compression.

Linear Attention Modeling for Learned Image Compression Frequency-Aware Transformer for Learned Image Compression

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d438a2a8-4621-4b55-9ad9-fa963157383f · outbound

This paper cites Learned Image Compression with Mixed Transformer-CNN Architectures.

Linear Attention Modeling for Learned Image Compression Learned Image Compression with Mixed Transformer-CNN Architectures

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:51.079818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8e904f44-19ac-46e4-b78a-961629836f0b · outbound

This paper cites VMamba: Visual State Space Model.

Linear Attention Modeling for Learned Image Compression VMamba: Visual State Space Model

Reference 20

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no resolver link, observed 2026-08-08T18:11:50.548239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.548239Z digest=sha256:5490eb679c8ed12fe428be700a4860acfc8c1c5aee40baa22b237490b81df4f1

Observation d63460f5-9297-4e2f-89fb-12cb1e80326e · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Linear Attention Modeling for Learned Image Compression Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e6faa7a1-786f-4257-b889-f0bc441ec625 · outbound

This paper cites Transformer-based Image Compression.

Linear Attention Modeling for Learned Image Compression Transformer-based Image Compression

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 34487b2c-af01-4046-929d-8be18b0a12a9 · outbound

This paper cites Understanding the effective receptive field in deep convolu- tional neural networks.

Linear Attention Modeling for Learned Image Compression Understanding the effective receptive field in deep convolu- tional neural networks

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 31768300-3bd8-426f-bd0d-162de4ddc916 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Linear Attention Modeling for Learned Image Compression U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 24

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no resolver link, observed 2026-08-08T18:11:50.564487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.564487Z digest=sha256:db8f96c543a6fda849110e28a6464693b13853870adb8ae0051b9a8a0dff3bb9

Observation 49babda6-8b80-47f1-99d9-4cdbfa2aad03 · outbound

This paper cites Channel-Wise Autore- gressive Entropy Models for Learned Image Compression.

Linear Attention Modeling for Learned Image Compression Channel-Wise Autore- gressive Entropy Models for Learned Image Compression

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-08T18:11:51.034933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.568263Z digest=sha256:0ac0104fc2018e5aa5191955d8513ede21beb2a317bb5170a944f2e4d69c9e69

Observation 0ca86a82-9bc6-47aa-95a3-ce4e55c49e64 · outbound

This paper cites Joint Autoregressive and Hierarchical Priors for Learned Image Compression.

Linear Attention Modeling for Learned Image Compression Joint Autoregressive and Hierarchical Priors for Learned Image Compression

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:51.023387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1f2c98e3-6e3c-4f63-805a-6a85d8070e66 · outbound

This paper cites Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, and Rui-Jie Zhu.

Linear Attention Modeling for Learned Image Compression Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, and Rui-Jie Zhu

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:51.012722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.575024Z digest=sha256:39ec5320926180e4936dc7b0698bf09c54a6c60e906d43087f47b70271b35841

Observation 15110047-8be4-4490-8217-20b43078b6f3 · outbound

This paper cites Rwkv: Rein- venting rnns for the transformer era, 2023.

Linear Attention Modeling for Learned Image Compression Rwkv: Rein- venting rnns for the transformer era, 2023

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:51.001227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.578610Z digest=sha256:d147d77af72e3e85fbe5b22985087972ccbe8ab95ce3d861bad5ecf76e1acbed

Observation 97dd0aa9-1f9b-4abd-b2c5-c900a6333ea1 · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

Linear Attention Modeling for Learned Image Compression Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 29

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unresolved
no resolver link, observed 2026-08-08T18:11:50.583010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.583010Z digest=sha256:6d506201207c93fe416b14fe47a8ad8bbe2e36b92172de52ee769b1e7e169a45

Observation e61493fa-967b-4314-99a5-68d1ddcb11f4 · outbound

This paper cites Entroformer: A Transformer-based Entropy Model for Learned Image Compression, 2022.

Linear Attention Modeling for Learned Image Compression Entroformer: A Transformer-based Entropy Model for Learned Image Compression, 2022

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.990006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.587387Z digest=sha256:500d8793ec894d11c1dbd4be63b0729616a6b7c19d6766cd98b1a04cf5855f8f

Observation 7b31ea76-5385-4554-a2c1-15f1673acce0 · outbound

This paper cites VL-Mamba: Exploring State Space Models for Multimodal Learning.

Linear Attention Modeling for Learned Image Compression VL-Mamba: Exploring State Space Models for Multimodal Learning

Reference 31

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unresolved
no resolver link, observed 2026-08-08T18:11:50.591329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.591329Z digest=sha256:367368fb207e02f2213b5fe6b877c95289986bb18b04000681a5e0825f988183

Observation 3127a8c6-e35b-4359-b451-5e2b18e85d29 · outbound

This paper cites MambaVC: Learned Visual Compression with Selective State Spaces.

Linear Attention Modeling for Learned Image Compression MambaVC: Learned Visual Compression with Selective State Spaces

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:50.595690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.595690Z digest=sha256:1a33fcb12816a4c9e56ee73d3b63a379c0f8f1fa9b222609ff28ac5c6bff1d2f

Observation a47ed1ca-3e2c-4c4a-a105-d05c6624978e · outbound

This paper cites Temporal Context Mining for Learned Video Compression.

Linear Attention Modeling for Learned Image Compression Temporal Context Mining for Learned Video Compression

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.978688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.599499Z digest=sha256:55105c2bb7e4bbaee73ab979e04140e25a90c89d33bfce2500804544b583ce72

Observation 14c5a9d0-bafd-45a1-8ef3-c6f0e1f481fd · outbound

This paper cites NVC-1B: A Large Neural Video Coding Model, 2024.

Linear Attention Modeling for Learned Image Compression NVC-1B: A Large Neural Video Coding Model, 2024

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.968871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation feed567a-3838-46c6-8c24-be10030eb8c2 · outbound

This paper cites The JPEG 2000 still image compression standard.

Linear Attention Modeling for Learned Image Compression The JPEG 2000 still image compression standard

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation af957825-f66f-468e-bd64-c832146d9c33 · outbound

This paper cites Sullivan, Jens-Rainer Ohm, Woo-Jin Han, and Thomas Wiegand.

Linear Attention Modeling for Learned Image Compression Sullivan, Jens-Rainer Ohm, Woo-Jin Han, and Thomas Wiegand

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1d712786-8b21-4394-91c9-8df8f4dadf44 · outbound

This paper cites an unresolved cited work.

Linear Attention Modeling for Learned Image Compression Unresolved cited work

Reference 37

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f5e26cae-720b-4a44-a248-6deb6abbecd8 · outbound

This paper cites Enhanced Invertible Encoding for Learned Image Compression.

Linear Attention Modeling for Learned Image Compression Enhanced Invertible Encoding for Learned Image Compression

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e81bd170-a38a-4efc-b00d-cae750b8374e · outbound

This paper cites Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV, 2024.

Linear Attention Modeling for Learned Image Compression Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV, 2024

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.623337Z digest=sha256:040b08a846cb5268d5877a18892c0c5d31b95ab83245314f6260cc6153f02a8d

Observation 726ef8e2-c8fc-4b8a-ad18-a894dd360153 · outbound

This paper cites Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV.

Linear Attention Modeling for Learned Image Compression Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:50.626907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.626907Z digest=sha256:f89671332d884c77b6df85ef9adde2b821480aedac011fe57edb669901acf46e

Observation a9b48553-2acd-45cc-95d4-31a7cdd46f17 · outbound

This paper cites Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model.

Linear Attention Modeling for Learned Image Compression Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:50.631154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d17b1fe1-54e0-4fb2-a18e-ba131cb01a24 · outbound

This paper cites An Attention Free Transformer, 2021.

Linear Attention Modeling for Learned Image Compression An Attention Free Transformer, 2021

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.905914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 070a6c87-5116-456d-84d9-3425711e2d82 · outbound

This paper cites End-to-end Optimized Image Compression with Attention Mechanism.

Linear Attention Modeling for Learned Image Compression End-to-end Optimized Image Compression with Attention Mechanism

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.896313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 40fb517f-bcb3-45c0-8eca-ff58c21d450f · outbound

This paper cites Bsbp-rwkv: Background suppression with boundary preservation for efficient medical image segmentation.

Linear Attention Modeling for Learned Image Compression Bsbp-rwkv: Background suppression with boundary preservation for efficient medical image segmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.886372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.643307Z digest=sha256:f20912d79dcd99d339400309ba68a4a50c9abb60caff81487e8d7b3316ba21c4

Observation 4de85aa8-c388-4786-9438-cf6261cfd0b1 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Linear Attention Modeling for Learned Image Compression Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:50.647419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:50.647419Z digest=sha256:e3551648adce1c4ad6064fd5dd5f641f04ee7f9559f3a7005947a12dbc84877f

Observation d297ebff-a403-4e43-82cd-bae10dab920a · outbound

This paper cites Transformer- based Transform Coding.

Linear Attention Modeling for Learned Image Compression Transformer- based Transform Coding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.875805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.652116Z digest=sha256:813ef89922b695863d7c9da31a231c49872c407b654aa58fad7633285b943297

Observation e4ac7dd9-8a7a-4518-9cb9-ca88a0fff6fc · outbound

This paper cites The Devil Is in the Details: Window-based Attention for Image Compression.

Linear Attention Modeling for Learned Image Compression The Devil Is in the Details: Window-based Attention for Image Compression

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.655632Z digest=sha256:3cb14e80e072accd92b104134b265ae4c993af90818562d3d373a132c28a22d2

Observation 72824df7-e539-4af5-a46f-9a38868ed699 · outbound

This paper cites The Open Images Dataset V4: Unified image classifica- tion, object detection, and visual relationship detection at scale.

Linear Attention Modeling for Learned Image Compression The Open Images Dataset V4: Unified image classifica- tion, object detection, and visual relationship detection at scale

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.852092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.659839Z digest=sha256:04b51adaa3c35a039ad5707a53e75bd494d50ce4afa45e3a11a252d1d1eda431

Observation 5cbb1615-ce46-479c-a737-188bc299f2d9 · outbound

This paper cites Kodak lossless true color image suite (pho- tocd pcd0992).

Linear Attention Modeling for Learned Image Compression Kodak lossless true color image suite (pho- tocd pcd0992)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.840473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.663381Z digest=sha256:ca906b6653d742d456f90783d266a02dd00a2196002bbbfd74d59adbde73759c

Observation 9725d254-ba30-45fc-b55c-318eeefed322 · outbound

This paper cites Testimages: A large- scale archive for testing visual devices and basic image pro- cessing algorithms.

Linear Attention Modeling for Learned Image Compression Testimages: A large- scale archive for testing visual devices and basic image pro- cessing algorithms

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.666798Z digest=sha256:9c618b1b9c9a147d9e3bb0bed685a4e4100983442db1a24f3efed43f648c7d62

Observation 816b42b0-5211-411d-b022-3b2005d581e8 · outbound

This paper cites Workshop and challenge on learned image compres- sion.

Linear Attention Modeling for Learned Image Compression Workshop and challenge on learned image compres- sion

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:11:50.819313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T18:11:50.670236Z digest=sha256:a952ba1f233cb978ca800eec6c43ade97f219c27b69e3e50dc2f155904c26b85

Pith citing papers

Observation dd17dc5a-e076-4de9-ac86-eeaf0cfb0fcd · inbound

UI-LIC: A Unified Framework for Evaluating Learned Image Compression Models cites this paper.

UI-LIC: A Unified Framework for Evaluating Learned Image Compression Models Linear Attention Modeling for Learned Image Compression

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:54.774238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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