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Paper Citation Record · LEDGER

Video Compression With Rate-Distortion Autoencoders

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.05717.

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

pith.paper-citation-record.v1
1908.05717 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:26:14.257258Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b761a0a6-408c-472d-b8be-72db0ff43f01 · outbound

This paper cites http://ultravideo.

Video Compression With Rate-Distortion Autoencoders http://ultravideo

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e861039e-dcd5-4084-ad83-f5d1a1f5ccf1 · outbound

This paper cites Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations.

Video Compression With Rate-Distortion Autoencoders Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

Reference 2

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8e3b309d-78c8-41ae-97bc-f4c0d5d1f8e8 · outbound

This paper cites Fixing a Broken ELBO.

Video Compression With Rate-Distortion Autoencoders Fixing a Broken ELBO

Reference 3

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Observation b08d965e-6a97-469e-9755-b475d667bfc7 · outbound

This paper cites Learning to Inpaint for Image Compression.

Video Compression With Rate-Distortion Autoencoders Learning to Inpaint for Image Compression

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1b6c112a-0af6-4941-b412-96266d5ca18d · outbound

This paper cites End- to-end Optimized Image Compression.

Video Compression With Rate-Distortion Autoencoders End- to-end Optimized Image Compression

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.067937Z digest=sha256:ee9794da8bfc8a44bdd1df4d330e3b89133bdb4375a968f96521e9f46ef149b2

Observation 19dcae7b-7694-4a6a-843f-ed48e60da85c · outbound

This paper cites Variational image compression with a scale hyperprior.

Video Compression With Rate-Distortion Autoencoders Variational image compression with a scale hyperprior

Reference 6

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source=pdf_text observed=2026-08-14T13:26:14.073147Z digest=sha256:47ad8a4a02d27e3e4e59628ebb23e04d757a1019fb5e8cf92ddd98635178b6d2

Observation 2d6a9d31-be22-4d92-86c0-d9f0bf4cf3e6 · outbound

This paper cites Es- timating or Propagating Gradients Through Stochastic Neu- rons for Conditional Computation.

Video Compression With Rate-Distortion Autoencoders Es- timating or Propagating Gradients Through Stochastic Neu- rons for Conditional Computation

Reference 7

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.079280Z digest=sha256:42f07065ccfc32d4ebc1d764a3e6d50e38958279f81996c1adb659c316518bea

Observation 2c08c397-217e-4b94-bd9a-def2fc0a3fa6 · outbound

This paper cites Pattern Recognition and Machine Learning.

Video Compression With Rate-Distortion Autoencoders Pattern Recognition and Machine Learning

Reference 8

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.083848Z digest=sha256:baec83a1a4c833f689c8c8b7eb9f16689b13620ed3658640154149c79650a60d

Observation b8cbead7-19e0-424e-bebd-e734901b3f20 · outbound

This paper cites Quo vadis, action recognition? A new model and the kinetics dataset.

Video Compression With Rate-Distortion Autoencoders Quo vadis, action recognition? A new model and the kinetics dataset

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.089330Z digest=sha256:e58b3d2e043eb4dd2936562b1f9975b19a94e2b62d03d5cafd68ba4a5e5f3af3

Observation a2c4b5a7-b389-4fbf-8cd4-12c54e64eab0 · outbound

This paper cites Variational Lossy Autoencoder.

Video Compression With Rate-Distortion Autoencoders Variational Lossy Autoencoder

Reference 10

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source=pdf_text observed=2026-08-14T13:26:14.094437Z digest=sha256:69aa6830164c4df4a5b6e4733b7abafbba85489ec2edcbbf58e0b47e1966e102

Observation faf10a95-a7fa-4379-a774-35afcf22c6a9 · outbound

This paper cites Learning for Video Compression.

Video Compression With Rate-Distortion Autoencoders Learning for Video Compression

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.100160Z digest=sha256:b60f17f0e96f62a2e8ad5c5059b1545b0cb2b723b6aca50d5eefb1658eeb88c9

Observation 8f0b52b6-9c63-4ad4-bead-8cfa8d27b4a4 · outbound

This paper cites The Zettabyte Era: Trends and Analysis.

Video Compression With Rate-Distortion Autoencoders The Zettabyte Era: Trends and Analysis

Reference 12

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.105284Z digest=sha256:f53d2ebc8431f4ec1bb4157561cc78f1322953c6571b0a944fdadac11f66b79a

Observation 62d90d79-95d9-44a7-a2c2-846f2892b12d · outbound

This paper cites Cover and Joy A.

Video Compression With Rate-Distortion Autoencoders Cover and Joy A

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2408ff1f-e3c7-4fdf-8740-5b04b50dfaa7 · outbound

This paper cites Deep AutoRegressive Networks.

Video Compression With Rate-Distortion Autoencoders Deep AutoRegressive Networks

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T13:26:14.115502Z digest=sha256:69910ec0980371e302ffb8db60c2f5843fb8b0ae21ecd26f6e386c5ae56521a1

Observation 37a0b1bf-45b3-42b6-bfbe-ebf171650d1b · outbound

This paper cites Deep Generative Video Compression.

Video Compression With Rate-Distortion Autoencoders Deep Generative Video Compression

Reference 15

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source=pdf_text observed=2026-08-14T13:26:14.121421Z digest=sha256:1d046cd89049a521969f586c4b9a0835f208eb7a1a1d8123eccd50aaa27a8ed1

Observation b58e31af-3afe-4740-8d69-782c8fe19ff0 · outbound

This paper cites Mask R-CNN.

Video Compression With Rate-Distortion Autoencoders Mask R-CNN

Reference 16

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T13:26:14.128066Z digest=sha256:950a0f1f5c932f8e147925b621ad643ce9a8e95d6c4175728a62d292109cfa9a

Observation fcca0c07-6225-475e-ae73-cdb3b391586f · outbound

This paper cites Deep Residual Learning for Image Recognition.

Video Compression With Rate-Distortion Autoencoders Deep Residual Learning for Image Recognition

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.133348Z digest=sha256:85f25086a15f588b30b6d2015aabbb4a3faa13b2d8bef390ffd0db220c791d2f

Observation 58aff121-70c2-4e95-a6cf-dbbc0acbc643 · outbound

This paper cites Keeping Neural Networks Simple by Minimizing the Description Length of the Weights.

Video Compression With Rate-Distortion Autoencoders Keeping Neural Networks Simple by Minimizing the Description Length of the Weights

Reference 18

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.138622Z digest=sha256:4d4a663b37831024213a4b0849a3872b187550ea1464979be898cd3c06b6d9db

Observation f0605165-9c4f-4906-bd3e-a6f1d711faa1 · outbound

This paper cites Autoencoders, Minimum Description Length and Helmholtz Free Energy.

Video Compression With Rate-Distortion Autoencoders Autoencoders, Minimum Description Length and Helmholtz Free Energy

Reference 19

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.143856Z digest=sha256:f8f45bcce0396c4ce947f2ac754b73c361aa0918305ded3b092831c54f3137ea

Observation 62b7abd9-e0e4-4663-9b7f-b2f76208412f · outbound

This paper cites Honkela and H.

Video Compression With Rate-Distortion Autoencoders Honkela and H

Reference 20

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.149119Z digest=sha256:c4c81f1fd0ab66e609239211837aeb1ce56a1050a424050f3488d112b1c71db1

Observation 813a7049-3a7f-443c-8e2c-e9bd8db71bef · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Video Compression With Rate-Distortion Autoencoders Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:26:14.154276Z digest=sha256:07e30164e03f3f79a622abf3a30d72fa599813ed1966821fdc0ce704382c0dc4

Observation e05f7368-e9ea-44fd-8e30-3bbad2a710c5 · outbound

This paper cites Improved Lossy Image Com- pression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks.

Video Compression With Rate-Distortion Autoencoders Improved Lossy Image Com- pression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks

Reference 22

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.159963Z digest=sha256:c94e7982362c37999901b4b31be4fa275b1bb0381ccbca8bca96955c9b361ce6

Observation 0441a303-e95a-4209-bb88-24117d198146 · outbound

This paper cites Video Pixel Networks.

Video Compression With Rate-Distortion Autoencoders Video Pixel Networks

Reference 23

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.164960Z digest=sha256:48e20579090022dbfb11c1c2ced2dfbbcdb4ca81b6851032aa496d007913f6d5

Observation 474ffd5b-3647-4518-a06b-8e023cd9ae36 · outbound

This paper cites Adam: A Method for Stochastic Opti- mization.

Video Compression With Rate-Distortion Autoencoders Adam: A Method for Stochastic Opti- mization

Reference 24

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.169759Z digest=sha256:483276126569156bfe0739a63908aabca2b0b586759eebf4053520697312d182

Observation 9447c2ff-c0cd-4cd8-936d-7c48bc62faef · outbound

This paper cites Auto-Encoding Variational Bayes.

Video Compression With Rate-Distortion Autoencoders Auto-Encoding Variational Bayes

Reference 25

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source=pdf_text observed=2026-08-14T13:26:14.174300Z digest=sha256:7c381303f2950a6d6a97501e5da466c3c94ef1a51889f9b05e152683ef5577ad

Observation 9b5f9a63-49be-4085-ab2e-ced0bde6ca57 · outbound

This paper cites Learning convolutional networks for content- weighted image compression.

Video Compression With Rate-Distortion Autoencoders Learning convolutional networks for content- weighted image compression

Reference 26

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.179595Z digest=sha256:dcfb45f8a6bc536cfa6743ff433b8135933674d92435653e1fb22bb26e0db4d6

Observation fd7bf54d-dda7-4be8-add7-5370c2a1f433 · outbound

This paper cites DVC: An End-to-end Deep Video Compression Framework.

Video Compression With Rate-Distortion Autoencoders DVC: An End-to-end Deep Video Compression Framework

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:26:14.184826Z digest=sha256:49a700ef2b96e0e76868abff97f0c9f53f8eccb9540aa449d4bcaf664b14cef9

Observation f398fbd6-49d3-4341-90d6-c2b54480602d · outbound

This paper cites Conditional Probabil- ity Models for Deep Image Compression.

Video Compression With Rate-Distortion Autoencoders Conditional Probabil- ity Models for Deep Image Compression

Reference 28

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raw_fallback, observed 2026-08-14T13:26:14.721862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.190057Z digest=sha256:7cd57919629e6ba7a040a88ba1b9ac38a34382f39132d5b2b8423efb8cd13ecf

Observation 56dbea7a-3f0b-413d-b478-9bdec65138fa · outbound

This paper cites Berkeley MHAD: A comprehensive Multimodal Human Action Database.

Video Compression With Rate-Distortion Autoencoders Berkeley MHAD: A comprehensive Multimodal Human Action Database

Reference 29

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raw_fallback, observed 2026-08-14T13:26:14.706295Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.194971Z digest=sha256:d07739f910abcf8d15136400a22d61b1d4008935d96afb604b2c25c877d60f60

Observation fe68b6a9-88eb-4f06-92cd-90d9f6645732 · outbound

This paper cites End-to-End Learning of Video Compression us- ing Spatio-Temporal Autoencoders.

Video Compression With Rate-Distortion Autoencoders End-to-End Learning of Video Compression us- ing Spatio-Temporal Autoencoders

Reference 30

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raw_fallback, observed 2026-08-14T13:26:14.691259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.199741Z digest=sha256:f0ac77da8273b839aad0ae31ca1f446c95f6bcd1cb7904bc8d86121075aff24d

Observation 7d70eac7-6f89-4a8c-af96-fc3fc496ff7f · outbound

This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

Video Compression With Rate-Distortion Autoencoders Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:26:14.204616Z digest=sha256:9630575228e845f5035334abdf83dfa80248631c275d59e565b1f6ce6efd2a61

Observation 63fa410c-bd67-4cde-a427-040da86f266b · outbound

This paper cites Real-Time Adaptive Im- age Compression.

Video Compression With Rate-Distortion Autoencoders Real-Time Adaptive Im- age Compression

Reference 32

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raw_fallback, observed 2026-08-14T13:26:14.674160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.209895Z digest=sha256:f2c39a6b853bfb2f937bf7fe8db888c9810b27e03a7701baae901613b56ffcac

Observation 3b86daeb-8ce4-482d-9d7f-de64be701c85 · outbound

This paper cites Learned Video Compression.

Video Compression With Rate-Distortion Autoencoders Learned Video Compression

Reference 33

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metadata mismatch
local_arxiv, observed 2026-08-14T13:26:14.330278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.214688Z digest=sha256:8cf643ae5460368018890f623913d03e66ee6487db10616ab2649809c116af57

Observation b9fb0500-5b8b-4fe8-9ceb-009c8c30a444 · outbound

This paper cites Genera- tive compression.

Video Compression With Rate-Distortion Autoencoders Genera- tive compression

Reference 34

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raw_fallback, observed 2026-08-14T13:26:14.657751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.219659Z digest=sha256:a1936cef26483bf66e1a72193359a8132a5b1779bfa1d693727617d7dd7b9115

Observation b6fdf939-f3a6-4b8f-bb3f-bf6460cc7f05 · outbound

This paper cites Lossy Image Compression with Compressive Autoencoders.

Video Compression With Rate-Distortion Autoencoders Lossy Image Compression with Compressive Autoencoders

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:26:14.224768Z digest=sha256:0c5ed07e2fc8493620b9188237e2207cb7d5c3dc5e1b46035fcb25f1568dbdd9

Observation 1e517ead-0dcc-4d18-afb5-ab1c8766077a · outbound

This paper cites Full Resolution Image Compression With Recurrent Neural Networks.

Video Compression With Rate-Distortion Autoencoders Full Resolution Image Compression With Recurrent Neural Networks

Reference 36

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raw_fallback, observed 2026-08-14T13:26:14.640012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.230336Z digest=sha256:caaf80d116f2c1e0bc1c4a308cffbada760ade7792de4397560217020a0d3d32

Observation b10e5bb2-b782-4b08-b7b7-bda33a7e63c7 · outbound

This paper cites Condi- tional Image Generation with PixelCNN Decoders.

Video Compression With Rate-Distortion Autoencoders Condi- tional Image Generation with PixelCNN Decoders

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:26:14.622042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.235161Z digest=sha256:1ba052df60f4ca64b4ac4d4495f8bc253e9ff7aa39bb509339d85d66adce7446

Observation f5858676-36fc-42c9-84ea-239eb224730f · outbound

This paper cites Wainwright and Michael I.

Video Compression With Rate-Distortion Autoencoders Wainwright and Michael I

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:26:14.603624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.239954Z digest=sha256:8f7422eec9f5ed0f33844bc7c4f9c833d5a2a2a9d15f2c54da526345696e51ab

Observation 15a47478-db40-4295-8e75-8289eeef5948 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Video Compression With Rate-Distortion Autoencoders Image quality assessment: from error visibility to structural similarity

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:26:14.586148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.245084Z digest=sha256:823c1ede5872f0fae1ebacc835d7fd7b12f16be4d4eb082cb052862686b4cc9d

Observation c639ab28-ac6a-4d19-8a7d-53dd5d4e9237 · outbound

This paper cites Video Compression through Image Interpolation.

Video Compression With Rate-Distortion Autoencoders Video Compression through Image Interpolation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:26:14.566348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.251623Z digest=sha256:62a32d9f4d2a7ff8022dc2b9a824d629d5ca7d884a6a4e0a67d0d3f88a922c41

Observation 0611055b-66d5-4692-9f25-52b172742c2c · outbound

This paper cites # Softmax embed c:1 $.

Video Compression With Rate-Distortion Autoencoders # Softmax embed c:1 $

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:26:14.547905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:26:14.257258Z digest=sha256:c06b22a4ab1fa09e1ed04fe8d2da9ad35b903415912e801b32836bde417670a8

Pith citing papers

No inbound Pith citation observations are available.