Paper Citation Record · LEDGER

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2504.15649.

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

pith.paper-citation-record.v1
2504.15649 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:39.394007Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy34
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fec21d05-8022-4742-8b3a-fb5728663e2b · outbound

This paper cites Ai benchmark: All about deep learning on smartphones in 2019.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Ai benchmark: All about deep learning on smartphones in 2019

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.978750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bd2c3ab-0afe-46f0-9a64-989f5b06240c · outbound

This paper cites Ai benchmark: Running deep neural networks on android smartphones.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Ai benchmark: Running deep neural networks on android smartphones

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.963087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53a40ac0-59f7-450a-8e3e-1919bb6cc7a7 · outbound

This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Fast, accurate, and lightweight super-resolution with cascading residual network

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.947904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8be58f28-35ec-4030-8732-c149036681d1 · outbound

This paper cites Fast and memory-efficient network to- wards efficient image super-resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Fast and memory-efficient network to- wards efficient image super-resolution

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.930367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79f8175b-4037-4b81-b946-6040a3827c5e · outbound

This paper cites Feature distillation interac- tion weighting network for lightweight image super- resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Feature distillation interac- tion weighting network for lightweight image super- resolution

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.914678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d083639-9837-4aa6-b104-21dec1429385 · outbound

This paper cites Lightweight image super-resolution with in- formation multi-distillation network.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Lightweight image super-resolution with in- formation multi-distillation network

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.898796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e0c41fd5-0f79-45e4-b463-30c51206170a · outbound

This paper cites C.; He K.; Dong, C.; Loy and X.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution C.; He K.; Dong, C.; Loy and X

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.882263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53a46f6d-a965-4665-a975-a0e3f2a8e75a · outbound

This paper cites Ac- celerating the super-resolution convolutional neural network.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Ac- celerating the super-resolution convolutional neural network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.867371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4be1f1a7-752e-4b5a-a129-7b34106854e1 · outbound

This paper cites Deeply-recursive convolutional network for image super-resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Deeply-recursive convolutional network for image super-resolution

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.852308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52ddb942-78af-42b7-b3c7-fdb2e06ad14e · outbound

This paper cites Image super- resolution via deep recursive residual network.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Image super- resolution via deep recursive residual network

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.837262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dfe13309-3790-4232-bc5f-c6d861609eb2 · outbound

This paper cites Fast and accurate single image super-resolution via information distillation network.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Fast and accurate single image super-resolution via information distillation network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.822374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c09f306-175a-498d-90b8-bf13dd95be3b · outbound

This paper cites Lightweight image super-resolution with in- formation multi-distillation network.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Lightweight image super-resolution with in- formation multi-distillation network

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.806413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb37f0ab-9fc5-4f9b-8a53-0990ba105349 · outbound

This paper cites Residual fea- ture distillation network for lightweight image super- resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Residual fea- ture distillation network for lightweight image super- resolution

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.791905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06be0932-654e-4f0b-b448-46bdb16f057b · outbound

This paper cites Ef- ficient long-range attention network for image super- resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Ef- ficient long-range attention network for image super- resolution

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.776678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2506010b-65cf-43ce-9425-74be6f5ca7b6 · outbound

This paper cites Swinfir:revisiting the swinir with fast fourier convolution and improved training for image super-resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Swinfir:revisiting the swinir with fast fourier convolution and improved training for image super-resolution

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.761476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf74be69-a661-4c04-8ad7-6d31956d9715 · outbound

This paper cites Lu, Zhisheng.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Lu, Zhisheng

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.746082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aa1fd134-7b3d-4e63-8fc9-4f7217a1bdc6 · outbound

This paper cites Recurrent back-projection network for video superresolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Recurrent back-projection network for video superresolution

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.731570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c666ecf-de91-45d7-a962-9254926c2cfa · outbound

This paper cites Tdan: Temporally deformable alignment network for video super-resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Tdan: Temporally deformable alignment network for video super-resolution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.715583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ed3b4d7-83df-4bc4-b3ac-597099834c9b · outbound

This paper cites Chan and Chen Change Loy.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Chan and Chen Change Loy

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.700259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 732f9c1f-a38c-4455-8876-58df2ba08c54 · outbound

This paper cites Efficient video super-resolution through recurrent latent space propagation.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Efficient video super-resolution through recurrent latent space propagation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.686033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4542add8-51ff-4216-9b7e-eae02b0c9d27 · outbound

This paper cites Bidirectional recurrent convolutional networks for multi-frame su- perresolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Bidirectional recurrent convolutional networks for multi-frame su- perresolution

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.670758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49c91e7d-ece5-4835-a106-93c49719f185 · outbound

This paper cites Video super- resolution with recurrent structure-detail network.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Video super- resolution with recurrent structure-detail network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.655732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30e57f17-7fdb-4b29-a49e-6ce53d0311f5 · outbound

This paper cites Chan, Xintao Wang and Chen Change Loy.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Chan, Xintao Wang and Chen Change Loy

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.640277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0493abd-cb77-45c8-9bc3-dbb7e5f49b0e · outbound

This paper cites Takashi Isobe, Fang Zhu.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Takashi Isobe, Fang Zhu

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.625008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9bbc8110-44fe-4c10-9e6e-c8bf85e54050 · outbound

This paper cites Neural architecture search for lightweight non-local networks.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Neural architecture search for lightweight non-local networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.607784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 948d43d5-03b3-45e1-9bf6-d94506096555 · outbound

This paper cites Fast, accurate, and lightweight super- resolution with neural architecture search.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Fast, accurate, and lightweight super- resolution with neural architecture search

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.591653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e88bb9c-a79b-4e11-be5c-30442fd66ec3 · outbound

This paper cites Multi-objective neural architecture search for fast and accurate image super-resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Multi-objective neural architecture search for fast and accurate image super-resolution

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.576799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 782833dd-f3ef-4a72-b1be-2d56225bf2e6 · outbound

This paper cites Repvgg: Making vgg-style convnets great again.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Repvgg: Making vgg-style convnets great again

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.561973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3ef11d4-e42e-46e6-8e5b-840ed500a8d6 · outbound

This paper cites Ecbsr: Edge-oriented convolution block for real-time super- resolution.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Ecbsr: Edge-oriented convolution block for real-time super- resolution

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.546988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0da79af0-90bc-4d95-a96d-a7175ead981d · outbound

This paper cites Repsr: Training efficient vgg- style super-resolution networks with structural re- parameterization.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Repsr: Training efficient vgg- style super-resolution networks with structural re- parameterization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.532254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9cfc37c5-6184-4da4-9b67-37bcb7f79b5d · outbound

This paper cites Numerical simulations of prominence oscillations triggered by external perturbations.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Numerical simulations of prominence oscillations triggered by external perturbations

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:25:39.438937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 172b8e95-ab2b-4080-a97a-130a40376303 · outbound

This paper cites Evsrnet: Efficient video super- resolution with neural architecture search.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Evsrnet: Efficient video super- resolution with neural architecture search

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.516176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77282744-5f70-4a9d-9457-ab1a089094cc · outbound

This paper cites M., and Meng Z.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution M., and Meng Z

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.500207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5617bc75-a765-4e95-8647-e7f232061ca0 · outbound

This paper cites Power efficient video super-resolution on mo- bile npus with deep learning, mobile ai & aim 2022 challenge: Report.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Power efficient video super-resolution on mo- bile npus with deep learning, mobile ai & aim 2022 challenge: Report

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.484774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19cd42cb-bd17-4174-a32b-657589882a2e · outbound

This paper cites an unresolved cited work.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:25:39.469465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09415124-8fea-4d30-9b3d-dd2f13d80704 · outbound

This paper cites Ntire 2019 challenge on video deblur- ring and superresolution: Dataset and study.

RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution Ntire 2019 challenge on video deblur- ring and superresolution: Dataset and study

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:25:39.454751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.