Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:11:50.670236Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:11:50.670236Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T01:51:42.288679Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:54.772320Z
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1c658041-edf6-43d2-94ab-ca7e018d9085 · outbound
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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Observation bb1440a2-dd76-4323-bcf1-484f7e0e95d1 · outbound
Linear Attention Modeling for Learned Image Compression Simoncelli
Reference 2
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Observation 46fc9bf9-d91e-432d-8058-b8f968eace0a · outbound
Linear Attention Modeling for Learned Image Compression Variational image compression with a scale hyperprior, 2018
Reference 3
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Observation dea836fe-702d-4d3f-bf8d-88cbb4a3e4c7 · outbound
Linear Attention Modeling for Learned Image Compression Sullivan, and Jens-Rainer Ohm
Reference 4
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Observation 6500078b-77d9-4fcb-a0d1-a60d384b3c97 · outbound
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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Observation 175ec90a-0661-4cdb-895e-522ddfc9e56c · outbound
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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Observation fc3c425a-82eb-4521-b766-53ec7b7293d6 · outbound
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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Observation a8eea176-bc8d-4d2e-993e-a89927dad6d9 · outbound
Linear Attention Modeling for Learned Image Compression The evolution of rwkv: Advancements in effi- cient language modeling, 2024
Reference 8
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Observation d8a27fba-c8a3-4ba3-9fb7-9244eaaf990a · outbound
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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Observation 5b7b609d-728e-4990-9f52-35e320e5ce20 · outbound
Linear Attention Modeling for Learned Image Compression Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
Reference 10
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Observation 428b882f-b093-49c3-a0af-0c0e8e5c85ea · outbound
Linear Attention Modeling for Learned Image Compression Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Reference 11
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Observation 8e88365c-e242-46a0-8fe5-d5a462d06ee1 · outbound
Linear Attention Modeling for Learned Image Compression Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 12
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Observation cbfbc256-043a-437e-ab6c-ae16562492bd · outbound
Linear Attention Modeling for Learned Image Compression Mambair: A simple baseline for im- age restoration with state-space model
Reference 13
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Observation 2e489843-68e2-4f1f-9428-66079bc76207 · outbound
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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Observation 7149897a-3dcf-4ad7-a3d3-9498aa3dae81 · outbound
Linear Attention Modeling for Learned Image Compression Deform-Mamba Network for MRI Super-Resolution
Reference 15
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Observation 7ee9ead4-5332-4ccf-9b2e-c5e15758c5b6 · outbound
Linear Attention Modeling for Learned Image Compression MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Reference 16
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Observation 98ec6be7-af36-4614-a886-69f12a4adabe · outbound
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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Observation fe97cf47-1837-4105-85db-f28bb0b16737 · outbound
Linear Attention Modeling for Learned Image Compression Frequency-Aware Transformer for Learned Image Compression
Reference 18
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Observation d438a2a8-4621-4b55-9ad9-fa963157383f · outbound
Linear Attention Modeling for Learned Image Compression Learned Image Compression with Mixed Transformer-CNN Architectures
Reference 19
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Observation 8e904f44-19ac-46e4-b78a-961629836f0b · outbound
Linear Attention Modeling for Learned Image Compression VMamba: Visual State Space Model
Reference 20
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Observation d63460f5-9297-4e2f-89fb-12cb1e80326e · outbound
Linear Attention Modeling for Learned Image Compression Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Reference 21
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Observation e6faa7a1-786f-4257-b889-f0bc441ec625 · outbound
Linear Attention Modeling for Learned Image Compression Transformer-based Image Compression
Reference 22
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Observation 34487b2c-af01-4046-929d-8be18b0a12a9 · outbound
Linear Attention Modeling for Learned Image Compression Understanding the effective receptive field in deep convolu- tional neural networks
Reference 23
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Observation 31768300-3bd8-426f-bd0d-162de4ddc916 · outbound
Linear Attention Modeling for Learned Image Compression U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Reference 24
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Observation 49babda6-8b80-47f1-99d9-4cdbfa2aad03 · outbound
Linear Attention Modeling for Learned Image Compression Channel-Wise Autore- gressive Entropy Models for Learned Image Compression
Reference 25
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Observation 0ca86a82-9bc6-47aa-95a3-ce4e55c49e64 · outbound
Linear Attention Modeling for Learned Image Compression Joint Autoregressive and Hierarchical Priors for Learned Image Compression
Reference 26
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Observation 1f2c98e3-6e3c-4f63-805a-6a85d8070e66 · outbound
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
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Observation 15110047-8be4-4490-8217-20b43078b6f3 · outbound
Linear Attention Modeling for Learned Image Compression Rwkv: Rein- venting rnns for the transformer era, 2023
Reference 28
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Observation 97dd0aa9-1f9b-4abd-b2c5-c900a6333ea1 · outbound
Linear Attention Modeling for Learned Image Compression Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
Reference 29
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Observation e61493fa-967b-4314-99a5-68d1ddcb11f4 · outbound
Linear Attention Modeling for Learned Image Compression Entroformer: A Transformer-based Entropy Model for Learned Image Compression, 2022
Reference 30
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Observation 7b31ea76-5385-4554-a2c1-15f1673acce0 · outbound
Linear Attention Modeling for Learned Image Compression VL-Mamba: Exploring State Space Models for Multimodal Learning
Reference 31
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Observation 3127a8c6-e35b-4359-b451-5e2b18e85d29 · outbound
Linear Attention Modeling for Learned Image Compression MambaVC: Learned Visual Compression with Selective State Spaces
Reference 32
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Observation a47ed1ca-3e2c-4c4a-a105-d05c6624978e · outbound
Linear Attention Modeling for Learned Image Compression Temporal Context Mining for Learned Video Compression
Reference 33
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Observation 14c5a9d0-bafd-45a1-8ef3-c6f0e1f481fd · outbound
Linear Attention Modeling for Learned Image Compression NVC-1B: A Large Neural Video Coding Model, 2024
Reference 34
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Observation feed567a-3838-46c6-8c24-be10030eb8c2 · outbound
Linear Attention Modeling for Learned Image Compression The JPEG 2000 still image compression standard
Reference 35
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Observation af957825-f66f-468e-bd64-c832146d9c33 · outbound
Linear Attention Modeling for Learned Image Compression Sullivan, Jens-Rainer Ohm, Woo-Jin Han, and Thomas Wiegand
Reference 36
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Observation 1d712786-8b21-4394-91c9-8df8f4dadf44 · outbound
Linear Attention Modeling for Learned Image Compression Unresolved cited work
Reference 37
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Observation f5e26cae-720b-4a44-a248-6deb6abbecd8 · outbound
Linear Attention Modeling for Learned Image Compression Enhanced Invertible Encoding for Learned Image Compression
Reference 38
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Observation e81bd170-a38a-4efc-b00d-cae750b8374e · outbound
Linear Attention Modeling for Learned Image Compression Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV, 2024
Reference 39
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Observation 726ef8e2-c8fc-4b8a-ad18-a894dd360153 · outbound
Linear Attention Modeling for Learned Image Compression Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
Reference 40
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Observation a9b48553-2acd-45cc-95d4-31a7cdd46f17 · outbound
Linear Attention Modeling for Learned Image Compression Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model
Reference 41
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Observation d17b1fe1-54e0-4fb2-a18e-ba131cb01a24 · outbound
Linear Attention Modeling for Learned Image Compression An Attention Free Transformer, 2021
Reference 42
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Observation 070a6c87-5116-456d-84d9-3425711e2d82 · outbound
Linear Attention Modeling for Learned Image Compression End-to-end Optimized Image Compression with Attention Mechanism
Reference 43
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Observation 40fb517f-bcb3-45c0-8eca-ff58c21d450f · outbound
Linear Attention Modeling for Learned Image Compression Bsbp-rwkv: Background suppression with boundary preservation for efficient medical image segmentation
Reference 44
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Observation 4de85aa8-c388-4786-9438-cf6261cfd0b1 · outbound
Linear Attention Modeling for Learned Image Compression Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Reference 45
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Observation d297ebff-a403-4e43-82cd-bae10dab920a · outbound
Linear Attention Modeling for Learned Image Compression Transformer- based Transform Coding
Reference 46
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Observation e4ac7dd9-8a7a-4518-9cb9-ca88a0fff6fc · outbound
Linear Attention Modeling for Learned Image Compression The Devil Is in the Details: Window-based Attention for Image Compression
Reference 47
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Observation 72824df7-e539-4af5-a46f-9a38868ed699 · outbound
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
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Observation 5cbb1615-ce46-479c-a737-188bc299f2d9 · outbound
Linear Attention Modeling for Learned Image Compression Kodak lossless true color image suite (pho- tocd pcd0992)
Reference 49
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Observation 9725d254-ba30-45fc-b55c-318eeefed322 · outbound
Linear Attention Modeling for Learned Image Compression Testimages: A large- scale archive for testing visual devices and basic image pro- cessing algorithms
Reference 50
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Observation 816b42b0-5211-411d-b022-3b2005d581e8 · outbound
Linear Attention Modeling for Learned Image Compression Workshop and challenge on learned image compres- sion
Reference 51
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Observation dd17dc5a-e076-4de9-ac86-eeaf0cfb0fcd · inbound
UI-LIC: A Unified Framework for Evaluating Learned Image Compression Models Linear Attention Modeling for Learned Image Compression
Reference 4
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