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Paper Citation Record · LEDGER

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2411.13362.

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

pith.paper-citation-record.v1
2411.13362 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:36:47.035786Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:24.584750Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:22:27.367537Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08b5b569-ea1e-42a1-ba9c-8c9ed81d2023 · outbound

This paper cites Bull and F.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Bull and F

Reference 1

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 2e4ebb65-1aa8-42ec-a1ca-020633ba01bb · outbound

This paper cites CISCO visual networking index: forecast and method- ology, 2017–2022,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content CISCO visual networking index: forecast and method- ology, 2017–2022,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dc7b4634-5ff5-4d87-8f79-2c16d01dfbe5 · outbound

This paper cites VVCSoftware VTM.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content VVCSoftware VTM

Reference 3

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no resolver link, observed 2026-08-12T16:36:46.861563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 74d21a61-308e-46c7-8579-2082b78a26a5 · outbound

This paper cites SVT-A V1.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content SVT-A V1

Reference 4

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no resolver link, observed 2026-08-12T16:36:46.866833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.866833Z digest=sha256:3b112692cc5487e0de998dd00c7ca50d97cfd7176bb61dae8a8c79c8a31b200e

Observation de02be89-9eb3-4ad2-89f7-6dd4a1d7b863 · outbound

This paper cites Overview of the high efficiency video coding (HEVC) stan- dard,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Overview of the high efficiency video coding (HEVC) stan- dard,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 26821cd9-f6b6-463e-9683-040b9b6edd34 · outbound

This paper cites Accessed: Enter Date Accessed.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Accessed: Enter Date Accessed

Reference 6

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no resolver link, observed 2026-08-12T16:36:46.879557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.879557Z digest=sha256:8f127983c80e83864a56ae1c12704f7d394291e61d39fa7688ad7ab675a11f2f

Observation 0572d7bc-453c-4a70-849e-c1e65aeb4d1a · outbound

This paper cites DVC: An end-to-end deep video compression framework,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content DVC: An end-to-end deep video compression framework,

Reference 7

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raw_fallback, observed 2026-08-12T16:36:47.611946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.884451Z digest=sha256:5a17f0c260da455250a9ecef140c1652f988f4ab3f7d9820518f49923838c9a3

Observation cabad997-464c-4855-bb4f-e9b10db84923 · outbound

This paper cites HiNeRV: Video compression with hierarchical encoding based neural representation,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content HiNeRV: Video compression with hierarchical encoding based neural representation,

Reference 8

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raw_fallback, observed 2026-08-12T16:36:47.593392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.889520Z digest=sha256:bad0fd71a7e86948bdf43c96bec32f63e3e702488a5378cc5b00f53d89c9d021

Observation 78284b5e-9017-4759-9188-a523859e759e · outbound

This paper cites MIMT: Masked image modeling transformer for video compression,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content MIMT: Masked image modeling transformer for video compression,

Reference 9

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raw_fallback, observed 2026-08-12T16:36:47.576646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.894773Z digest=sha256:991d022b79f45cdabf2e73574c7ae7883a260368e46e4da6d5b2b2c0b96c667d

Observation 55fa0979-3711-4302-a3e4-ddcf872e7d9e · outbound

This paper cites CANF-VC: Conditional Augmented Normalizing Flows for Video Compression,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content CANF-VC: Conditional Augmented Normalizing Flows for Video Compression,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.900315Z digest=sha256:7201f3a85b94029ab3754dd813bb100ae52b929b78f5eaa6661d25a64f051f0f

Observation 53764670-8b36-4a37-9ed2-0c691ba6e525 · outbound

This paper cites NVRC: Neural video representation compression,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content NVRC: Neural video representation compression,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.904735Z digest=sha256:1a1c7bcf1411e59e99fdacb9ed07adaa237cca78d550a4b53db83a777f613d58

Observation 004d48a9-b5ce-4024-96b9-805debbbbdbf · outbound

This paper cites Neural video compression with feature modulation,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Neural video compression with feature modulation,

Reference 12

Resolution
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raw_fallback, observed 2026-08-12T16:36:47.545135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.909815Z digest=sha256:38ea1133103db40858ebcca2423e89366ad0f21c7e1eebc618188dcc8de88a70

Observation 54539052-1466-4d45-8f1a-fa852487aa0c · outbound

This paper cites Convolutional neural network-based fractional-pixel motion compensation,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Convolutional neural network-based fractional-pixel motion compensation,

Reference 13

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no resolver link, observed 2026-08-12T16:36:46.914075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.914075Z digest=sha256:87fc8774bf96c4de1338fe3ab98d26b664e3760ce7f58b871ef067e2b954b7a8

Observation e11a1ac0-1b3f-4f4f-ab74-4ebec1d51e2f · outbound

This paper cites Enhancing VVC through CNN-based post-processing,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Enhancing VVC through CNN-based post-processing,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.524312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.919430Z digest=sha256:ee5788d39d8928241356d6819fdf885902075e8ad9ec31b457fb51a860f5f57a

Observation 93ff6902-4fae-46d3-a437-ba1455df179e · outbound

This paper cites CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement

Reference 15

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unresolved
no resolver link, observed 2026-08-12T16:36:46.924896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.924896Z digest=sha256:6a521626706db83685e964e8ca4e8b87f2bb63fbbd0f6f4a170a76bea15dea4d

Observation b5784598-4252-45d4-96d8-cfb062e44940 · outbound

This paper cites MFRNet: a new CNN architecture for post-processing and in-loop filtering,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content MFRNet: a new CNN architecture for post-processing and in-loop filtering,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.511329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.930361Z digest=sha256:545a508d3ee2bd827037e6417bea80aefccf11f7df94d57040554dd5449c728d

Observation f490b2ee-0191-4d04-8de3-bd700a48a3a2 · outbound

This paper cites ViSTRA3: Video coding with deep parameter adaptation and post process- ing,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content ViSTRA3: Video coding with deep parameter adaptation and post process- ing,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.494775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.934541Z digest=sha256:861d572ef606bcc1b0c5355058f9346ed1d4f5164d87a59a5d281decda22abcd

Observation 4ceec96f-2367-448b-b40f-2c22c00ee92a · outbound

This paper cites A Video Coding Method Based on Neural Network for CLIC2024.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content A Video Coding Method Based on Neural Network for CLIC2024

Reference 18

Resolution
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local_arxiv, observed 2026-08-12T16:36:47.155231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.939079Z digest=sha256:fab65a46ec0dc72fe5865d3378a123ee0937acbb9687fd9594142979dd2f199a

Observation 3b988b42-65c4-420e-9512-e49aed571b92 · outbound

This paper cites Towards hybrid-optimization video coding,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Towards hybrid-optimization video coding,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.943707Z digest=sha256:601bbab6b708fcb3e362d0ebcfb4626ebfd08bce197830c08054de5e772b420d

Observation 192d9bd5-f26e-44f6-aae8-ea2294089959 · outbound

This paper cites Enhancing versatile video coding efficiency via post-processing of decoded frames using residual network integration in deep convolutional neural networks,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Enhancing versatile video coding efficiency via post-processing of decoded frames using residual network integration in deep convolutional neural networks,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.460488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.948648Z digest=sha256:38df7f3e4dd0e8f51421b3e61a59341af99b98dbeb440736c6d8349604d36338

Observation cf3e22e8-45fd-4bb2-b27c-2105ca0737c6 · outbound

This paper cites Enhanced deep residual networks for single image super-resolution,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Enhanced deep residual networks for single image super-resolution,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.446775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.953376Z digest=sha256:817929c480c5a9113261dfe84c38f36a516cf750d8496312ebdc206af4d44fb4

Observation f875683f-3eec-41c1-bc5b-41fa2bc28d94 · outbound

This paper cites Compressing deep image super-resolution models,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Compressing deep image super-resolution models,

Reference 22

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raw_fallback, observed 2026-08-12T16:36:47.432998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.957882Z digest=sha256:a501a2aa7c4cdfa2ef7a9b0dfe9d3934699aa0c8b624703534344d0969da2499

Observation 62d9b98f-9480-4410-95c0-2963daedeabf · outbound

This paper cites MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution

Reference 23

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no resolver link, observed 2026-08-12T16:36:46.962333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.962333Z digest=sha256:8a90dbe84475a451cee683501c1f3598e8bb946ffd4a4e87f2b642fe25ba7ac0

Observation 83c0b433-b492-43f6-834c-d64d7e34804d · outbound

This paper cites AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content

Reference 24

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no resolver link, observed 2026-08-12T16:36:46.968722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.968722Z digest=sha256:6df721b8b617a7d161217ec105887bf19a0f10596ec8d3c56d3bbbecf6b2bf11

Observation 0a358ac1-b085-4918-aa03-f285f32a9298 · outbound

This paper cites FAKD: Feature- affinity based knowledge distillation for efficient image super- resolution,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content FAKD: Feature- affinity based knowledge distillation for efficient image super- resolution,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.420380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.974336Z digest=sha256:fe5487e0d69243c82264a477bb50e3ec7566f4c5d89f4d46b58b7f434c9b65e8

Observation 3806df8e-7d02-486f-8cfe-210f6576d35b · outbound

This paper cites Context-aware synthesis for video frame interpolation,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Context-aware synthesis for video frame interpolation,

Reference 26

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raw_fallback, observed 2026-08-12T16:36:47.405597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.979643Z digest=sha256:74a9628cc5caf409740181e26a16cdbf4c68967be5f781aa997ea804332d5735

Observation 076d8afc-5525-4dd6-bc38-5a6bc8948c32 · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content PyTorch: An imperative style, high-performance deep learning library,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.391485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.984154Z digest=sha256:d8944a2b7ee341e8921123d24c5e5b43b328764a0de029d22c44d841a8e92d73

Observation bdff4b8b-f9b2-4e39-a230-9f5ec898e1e4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Adam: A Method for Stochastic Optimization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T16:36:46.988887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:46.988887Z digest=sha256:e20da75e1337150331127e19231ed262e500f15e472f685ae11c8d534a412240

Observation 14f08f61-bc50-41c4-9768-537fc580dc7e · outbound

This paper cites ST-MFNet Mini: Knowledge distillation-driven frame interpolation,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content ST-MFNet Mini: Knowledge distillation-driven frame interpolation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.374488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:46.995335Z digest=sha256:7c7b5537cd2c23175df7a06a5c510d48c729f2be601fdd025e4797844af2e75f

Observation d8a026c4-2228-4bd0-9cf0-b13c02b69ee7 · outbound

This paper cites BVI-DVC: A training database for deep video compression,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content BVI-DVC: A training database for deep video compression,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.359253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:47.001205Z digest=sha256:9c9786d7bea769411bfb92abf6dc85e8428a86aba0ec3ceeb79caaaaf8624a82

Observation 86e0d783-fd62-4e2a-a2eb-20a4ea8e3ee3 · outbound

This paper cites BVI-AOM: A New Training Dataset for Deep Video Compression Optimization.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content BVI-AOM: A New Training Dataset for Deep Video Compression Optimization

Reference 31

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unresolved
no resolver link, observed 2026-08-12T16:36:47.006695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:47.006695Z digest=sha256:5fe38b85a6cf906c5db5ca5c3ee2cc35af6ca047b31b63c82017b26e6f984a2d

Observation b9614958-fd27-4318-b552-1d83c742a85a · outbound

This paper cites VMAF: Toward a Practical Perceptual Video Quality Metric.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content VMAF: Toward a Practical Perceptual Video Quality Metric

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.345929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:47.011747Z digest=sha256:18378db8a58767cbeacff4d38821eb20ca127ff7f5c03e6f2c49b0c9a1a65a2b

Observation 8b63741f-a04e-425a-84cc-a88a71fac325 · outbound

This paper cites https://github.com/mv-lab/VideoAI-Speedrun.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content https://github.com/mv-lab/VideoAI-Speedrun

Reference 33

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raw_fallback, observed 2026-08-12T16:36:47.314033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:47.021938Z digest=sha256:aa2a48267f7708468770d43e4ecf32d6f48c839bd27a716ee9c017ccaf1bae46

Observation c554a7a5-e11e-44b8-8a80-2148618a26c8 · outbound

This paper cites A database and model for the visual quality assessment of super-resolution videos,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content A database and model for the visual quality assessment of super-resolution videos,

Reference 34

Resolution
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raw_fallback, observed 2026-08-12T16:36:47.299441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:47.026609Z digest=sha256:571260a53a1e228bd974f6b77ff2968b1a3faaaf34b948b6e516b3b1f9c1d02b

Observation ee9720fb-a6e6-4ca5-8f2a-05848e951158 · outbound

This paper cites A study of subjective video quality at various spatial resolutions,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content A study of subjective video quality at various spatial resolutions,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.284186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:47.030899Z digest=sha256:fcc6b2fc77a21e4fd2a837948ad2cd667462987e2affe2b789c5ce1769fec362

Observation 6c8a6e6e-aa6f-4737-b7a5-8393c16836ab · outbound

This paper cites SRQM: a video quality metric for spatial resolution adaptation,.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content SRQM: a video quality metric for spatial resolution adaptation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:36:47.269437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:47.035786Z digest=sha256:c5ef30db49172b6aab330f800ed93b145ec54ffc3fe38bcc065ec77d3b2742d0

Observation d4afb94c-0e55-464f-bf91-6d3736b0bdcb · outbound

This paper cites an unresolved cited work.

RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:36:47.329941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:36:47.016250Z digest=sha256:9c4164fcd31133f1b4f76f459bc5b37b76f780761c33018e235da5526b8cacc0

Pith citing papers

Observation 6b9d4f5b-fa96-4198-a797-5e49098dd300 · inbound

Compressed Video Super-Resolution based on Hierarchical Encoding cites this paper.

Compressed Video Super-Resolution based on Hierarchical Encoding RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:22:27.490897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:22:24.584750Z digest=sha256:ab03f00d223250f7abfab5554b5c20dd3dfb33c95c261fd7c2b05a35c6b964fe