Paper Citation Record · LEDGER

Structured Pruning and Quantization for Learned Image Compression

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.01229.

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

pith.paper-citation-record.v1
2506.01229 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:38.152066Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:36.667838Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:51:38.234828Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy34
unresolved7
parse uncertain0
malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9c1a19e-bfc6-446c-a9d0-8bea142433ac · outbound

This paper cites Structured Pruning and Quantization for Learned Image Compression.

Structured Pruning and Quantization for Learned Image Compression Structured Pruning and Quantization for Learned Image Compression

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:51:38.272619Z

Source-reported events for the cited work

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Observation a75316cd-e82b-4a46-a27a-5e0bb796962f · outbound

This paper cites Learned Image Compression Learned Image Compression is a form of image source coding that operates in the transform coding paradigm.

Structured Pruning and Quantization for Learned Image Compression Learned Image Compression Learned Image Compression is a form of image source coding that operates in the transform coding paradigm

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.953130Z

Source-reported events for the cited work

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Observation ee56e81e-e1b1-432e-b986-0aa5f8f1d355 · outbound

This paper cites Next, we demon- strate our proposed NAS procedure for determining the layer- wise pruning ratio of the pruned model.

Structured Pruning and Quantization for Learned Image Compression Next, we demon- strate our proposed NAS procedure for determining the layer- wise pruning ratio of the pruned model

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:51:40.883915Z

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Observation 88043b20-de7d-48b9-a56c-c135de7c8916 · outbound

This paper cites Next, we show the coding performance of our proposed pruning methods across dif- ferent model sizes.

Structured Pruning and Quantization for Learned Image Compression Next, we show the coding performance of our proposed pruning methods across dif- ferent model sizes

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:51:40.801959Z

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Observation fff91e65-998c-4c87-8228-a7780f1b849c · outbound

This paper cites We perform experiments to show that simultane- ously pruning filters and filter channels can produce better Fig.

Structured Pruning and Quantization for Learned Image Compression We perform experiments to show that simultane- ously pruning filters and filter channels can produce better Fig

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.717566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 525434bb-5442-461c-9629-501ba319ed0e · outbound

This paper cites Variational image compression with a scale hyperprior.

Structured Pruning and Quantization for Learned Image Compression Variational image compression with a scale hyperprior

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:36.832241Z

Source-reported events for the cited work

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Observation aa44e2d4-779f-4709-a129-3fdb3e4ecf63 · outbound

This paper cites Joint autore- gressive and hierarchical priors for learned image compression,.

Structured Pruning and Quantization for Learned Image Compression Joint autore- gressive and hierarchical priors for learned image compression,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.644234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 239362bd-06ba-449e-a99c-7cd020089a83 · outbound

This paper cites Lossy im- age compression with quantized hierarchical vaes,.

Structured Pruning and Quantization for Learned Image Compression Lossy im- age compression with quantized hierarchical vaes,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.575274Z

Source-reported events for the cited work

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Observation b4cda817-8f94-43bb-8833-50d6ad45cdeb · outbound

This paper cites Qarv: Quantization-aware resnet vae for lossy image compression,.

Structured Pruning and Quantization for Learned Image Compression Qarv: Quantization-aware resnet vae for lossy image compression,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.503388Z

Source-reported events for the cited work

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Observation 450da2d5-129a-479a-b49f-97035e302d4e · outbound

This paper cites Mlic: Multi-reference entropy model for learned image compression,.

Structured Pruning and Quantization for Learned Image Compression Mlic: Multi-reference entropy model for learned image compression,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.432173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6efd806f-e7ba-4a45-9fc4-0844a7f6a4f5 · outbound

This paper cites The jpeg still picture compression standard,.

Structured Pruning and Quantization for Learned Image Compression The jpeg still picture compression standard,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.371553Z

Source-reported events for the cited work

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Observation 153b90b5-f5ae-4396-9bc6-d81d9f89ff89 · outbound

This paper cites Overview of the versatile video cod- ing (vvc) standard and its applications,.

Structured Pruning and Quantization for Learned Image Compression Overview of the versatile video cod- ing (vvc) standard and its applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.297901Z

Source-reported events for the cited work

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Observation 3485225b-7c7b-4573-ab82-76779bea13af · outbound

This paper cites Effi- cient neural image decoding via fixed-point inference,.

Structured Pruning and Quantization for Learned Image Compression Effi- cient neural image decoding via fixed-point inference,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.217093Z

Source-reported events for the cited work

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Observation 4dfaf016-c9d1-4f67-83ed-84efe7be0af2 · outbound

This paper cites End-to-end learned image compression with fixed point weight quan- tization,.

Structured Pruning and Quantization for Learned Image Compression End-to-end learned image compression with fixed point weight quan- tization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.144242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 541b34be-cf6d-4539-83af-ad248af1e36c · outbound

This paper cites Learned image compression with fixed-point arithmetic,.

Structured Pruning and Quantization for Learned Image Compression Learned image compression with fixed-point arithmetic,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:40.060095Z

Source-reported events for the cited work

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Observation 8512d92e-621d-42d2-a500-4e0aeb867568 · outbound

This paper cites Rate-distortion optimized post- training quantization for learned image compression,.

Structured Pruning and Quantization for Learned Image Compression Rate-distortion optimized post- training quantization for learned image compression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.988384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f98e5c5e-9dd1-452a-aa75-38de10b163c9 · outbound

This paper cites Integer quantized learned image compression,.

Structured Pruning and Quantization for Learned Image Compression Integer quantized learned image compression,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.918890Z

Source-reported events for the cited work

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Observation eb064f4e-f132-461f-8b17-be48b55aecc6 · outbound

This paper cites Memory-efficient learned image compression with pruned hyperprior module,.

Structured Pruning and Quantization for Learned Image Compression Memory-efficient learned image compression with pruned hyperprior module,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.849169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0e43df4-73f5-4ada-b069-778c4f6a65fd · outbound

This paper cites Efficient decoder for learned image com- pression via structured pruning,.

Structured Pruning and Quantization for Learned Image Compression Efficient decoder for learned image com- pression via structured pruning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.776715Z

Source-reported events for the cited work

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Observation 528d083e-c5b1-41c3-a4f7-d8301a6cb450 · outbound

This paper cites Complexity scalable learning-based image decoding,.

Structured Pruning and Quantization for Learned Image Compression Complexity scalable learning-based image decoding,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.703546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd838bc5-8673-40eb-81d0-b88dfab56b6e · outbound

This paper cites Unified data-free compression: Pruning and quantization without fine- tuning,.

Structured Pruning and Quantization for Learned Image Compression Unified data-free compression: Pruning and quantization without fine- tuning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.631286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 042a83b5-476a-4c4e-9ef3-e9faba9902b6 · outbound

This paper cites Filter prun- ing via geometric median for deep convolutional neural networks ac- celeration,.

Structured Pruning and Quantization for Learned Image Compression Filter prun- ing via geometric median for deep convolutional neural networks ac- celeration,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.561803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f7caab9-a8e2-44ec-8ec5-a238300cfb04 · outbound

This paper cites Hrank: Filter pruning using high-rank feature map,.

Structured Pruning and Quantization for Learned Image Compression Hrank: Filter pruning using high-rank feature map,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.487841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bbf058e0-47c9-4a42-9900-a6cf4c45ccaf · outbound

This paper cites Scop: Scientific control for reliable neu- ral network pruning,.

Structured Pruning and Quantization for Learned Image Compression Scop: Scientific control for reliable neu- ral network pruning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.404777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38eb4800-eb23-4785-a29a-e2bb5f127424 · outbound

This paper cites Chip: Channel independence-based pruning for compact neural networks,.

Structured Pruning and Quantization for Learned Image Compression Chip: Channel independence-based pruning for compact neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.319923Z

Source-reported events for the cited work

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Observation e00c3a2c-1107-47c0-9381-4000bab33fa7 · outbound

This paper cites Fast convnets using group-wise brain damage,.

Structured Pruning and Quantization for Learned Image Compression Fast convnets using group-wise brain damage,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.246761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92ea115a-f783-4c80-a751-dea708427867 · outbound

This paper cites Pruning filter in filter,.

Structured Pruning and Quantization for Learned Image Compression Pruning filter in filter,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.173513Z

Source-reported events for the cited work

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Observation 70c35e47-22f1-485a-8f44-4b1110f78286 · outbound

This paper cites Pconv: The missing but desirable sparsity in dnn weight pruning for real-time execution on mobile de- vices,.

Structured Pruning and Quantization for Learned Image Compression Pconv: The missing but desirable sparsity in dnn weight pruning for real-time execution on mobile de- vices,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.102150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7cb892cf-beec-4988-9ebf-3b2442fe2153 · outbound

This paper cites Learning both weights and connections for efficient neural network,.

Structured Pruning and Quantization for Learned Image Compression Learning both weights and connections for efficient neural network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:39.007084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 233b3bac-f7ec-4217-b45e-9c085a7843a6 · outbound

This paper cites Importance estimation for neural network pruning,.

Structured Pruning and Quantization for Learned Image Compression Importance estimation for neural network pruning,

Reference 30

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Source-reported events for the cited work

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Observation 01b501f4-a183-41fd-bdef-54057fda7cd4 · outbound

This paper cites Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.

Structured Pruning and Quantization for Learned Image Compression Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Reference 31

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Source-reported events for the cited work

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Observation c1ee5c1b-4b37-4bd7-9596-41e02b9d2627 · outbound

This paper cites Amc: Automl for model compression and acceleration on mobile de- vices,.

Structured Pruning and Quantization for Learned Image Compression Amc: Automl for model compression and acceleration on mobile de- vices,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.858065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation feee4dc2-934f-43c8-b5e3-baa84f56da9a · outbound

This paper cites Metapruning: Meta learning for automatic neural network channel pruning,.

Structured Pruning and Quantization for Learned Image Compression Metapruning: Meta learning for automatic neural network channel pruning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.783904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4b138e4-9ed8-4b79-9705-46e8937811b1 · outbound

This paper cites Dmcp: Differentiable markov channel pruning for neural networks,.

Structured Pruning and Quantization for Learned Image Compression Dmcp: Differentiable markov channel pruning for neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.717913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f5078d9-79b5-47eb-9282-f5692e1f427e · outbound

This paper cites Towards op- timal structured cnn pruning via generative adversarial learning,.

Structured Pruning and Quantization for Learned Image Compression Towards op- timal structured cnn pruning via generative adversarial learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.642741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83c649f3-d37c-43ba-ab10-9f4b14d9e2f4 · outbound

This paper cites Up or down? adaptive rounding for post- training quantization,.

Structured Pruning and Quantization for Learned Image Compression Up or down? adaptive rounding for post- training quantization,

Reference 36

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Source-reported events for the cited work

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Observation 13ce9926-2cf7-4b77-922f-3ce20e3d14af · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

Structured Pruning and Quantization for Learned Image Compression QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:37.954450Z

Source-reported events for the cited work

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Observation 45f6b19a-e6b4-4f6a-953c-9b8958f338e4 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

Structured Pruning and Quantization for Learned Image Compression PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:37.974260Z

Source-reported events for the cited work

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Observation 40d849c3-31e1-42ab-8cce-2d293def07e2 · outbound

This paper cites Learned Step Size Quantization.

Structured Pruning and Quantization for Learned Image Compression Learned Step Size Quantization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:38.003222Z

Source-reported events for the cited work

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Observation c85e424b-638c-42d5-84a6-ddaf26ef776e · outbound

This paper cites Network quan- tization with element-wise gradient scaling,.

Structured Pruning and Quantization for Learned Image Compression Network quan- tization with element-wise gradient scaling,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.569021Z

Source-reported events for the cited work

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Observation ce78ad25-1f8b-4474-821c-c14642ce6299 · outbound

This paper cites Pruning Filters for Efficient ConvNets.

Structured Pruning and Quantization for Learned Image Compression Pruning Filters for Efficient ConvNets

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:38.051278Z

Source-reported events for the cited work

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Observation cd334416-9da0-48e9-b85f-b7993a730f0f · outbound

This paper cites Mi- crosoft coco: Common objects in context,.

Structured Pruning and Quantization for Learned Image Compression Mi- crosoft coco: Common objects in context,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.494073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 552571d3-8b56-4743-bc92-a19ac480f1cd · outbound

This paper cites Calculation of average psnr differences between rd-curves,.

Structured Pruning and Quantization for Learned Image Compression Calculation of average psnr differences between rd-curves,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.420589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 290b5316-bff2-4645-a1f4-c879ad8339a1 · outbound

This paper cites Kodak lossless true color image suite (photocd pcd0992),.

Structured Pruning and Quantization for Learned Image Compression Kodak lossless true color image suite (photocd pcd0992),

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:38.346511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation f9c1a19e-bfc6-446c-a9d0-8bea142433ac · inbound