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Paper Citation Record · LEDGER

Implicit Neural Representation for Video Restoration

As of 12 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.05488.

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

pith.paper-citation-record.v1
2506.05488 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:24:24.906071Z

measured 45 of 45 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 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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy42
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b9a4f06-87e7-4b24-ab9b-1718a4fc92f3 · outbound

This paper cites Unsupervised coordinate-based video denoising.

Implicit Neural Representation for Video Restoration Unsupervised coordinate-based video denoising

Reference 1

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Source-reported events for the cited work

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

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Observation b3e49dab-356c-4bbe-91c3-aaf25835ec51 · outbound

This paper cites Basicvsr: The search for essential components in video super-resolution and beyond.

Implicit Neural Representation for Video Restoration Basicvsr: The search for essential components in video super-resolution and beyond

Reference 2

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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 4501ed90-4688-4155-845c-e4c8c990e86b · outbound

This paper cites Basicvsr++: Improving video super-resolution with enhanced propagation and alignment.

Implicit Neural Representation for Video Restoration Basicvsr++: Improving video super-resolution with enhanced propagation and alignment

Reference 3

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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 dfdff5dd-aab5-49fe-9c62-396a519bd187 · outbound

This paper cites Learning continuous image representation with local implicit image function.

Implicit Neural Representation for Video Restoration Learning continuous image representation with local implicit image function

Reference 4

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Source-reported events for the cited work

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

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Observation 3568c343-21c7-4c00-86cf-cdba0f354b3e · outbound

This paper cites Videoinr: Learning video implicit neural representation for continuous space-time super- resolution.

Implicit Neural Representation for Video Restoration Videoinr: Learning video implicit neural representation for continuous space-time super- resolution

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 958b71b5-764f-450d-a3f3-943a7ed503eb · outbound

This paper cites Nerv: Neural representations for videos.

Implicit Neural Representation for Video Restoration Nerv: Neural representations for videos

Reference 6

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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 f115fe18-17a9-43f9-a919-519d687e6ced · outbound

This paper cites Learning spatial adaptation and temporal coherence in diffusion models for video super-resolution.

Implicit Neural Representation for Video Restoration Learning spatial adaptation and temporal coherence in diffusion models for video super-resolution

Reference 7

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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 edd0c1ea-9bf2-40dc-a3cb-217c6afa0c94 · outbound

This paper cites Distilling information with super-resolution for video surveillance.

Implicit Neural Representation for Video Restoration Distilling information with super-resolution for video surveillance

Reference 8

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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 272edf93-7146-464e-a141-04632b993d80 · outbound

This paper cites Super-resolution in medical imaging.

Implicit Neural Representation for Video Restoration Super-resolution in medical imaging

Reference 9

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Source-reported events for the cited work

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

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Observation 6e88d21c-65f6-4253-8985-9af01b4b859d · outbound

This paper cites Hnerv: A hybrid neural representation for videos.

Implicit Neural Representation for Video Restoration Hnerv: A hybrid neural representation for videos

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.

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Observation 300b41df-19d2-473e-827b-a3b8253358eb · outbound

This paper cites Recurrent back-projection network for video super-resolution.

Implicit Neural Representation for Video Restoration Recurrent back-projection network for video super-resolution

Reference 11

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Source-reported events for the cited work

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

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Observation c80b0c72-9229-43fd-9cca-804ad91bc0ed · outbound

This paper cites Video super-resolution via bidirectional recurrent convolutional networks.

Implicit Neural Representation for Video Restoration Video super-resolution via bidirectional recurrent convolutional networks

Reference 12

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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 d9119203-7c4d-4758-9d45-c2a19020e513 · outbound

This paper cites Tempdiff: Enhancing temporal-awareness in latent diffusion for real-world video super-resolution.

Implicit Neural Representation for Video Restoration Tempdiff: Enhancing temporal-awareness in latent diffusion for real-world video super-resolution

Reference 13

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.

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Observation 0c9482a2-eb1b-4f5d-9f84-428e173825f2 · outbound

This paper cites Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation.

Implicit Neural Representation for Video Restoration Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation

Reference 14

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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 4f377554-e275-46c0-aaca-7f3162339178 · outbound

This paper cites Video super-resolution with convolutional neural networks.

Implicit Neural Representation for Video Restoration Video super-resolution with convolutional neural networks

Reference 15

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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 e1f039e6-b181-4ca9-8368-6cb326e5fdaa · outbound

This paper cites A review of the deep learning methods for medical images super resolution problems.

Implicit Neural Representation for Video Restoration A review of the deep learning methods for medical images super resolution problems

Reference 16

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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=2026-08-07T10:24:24.658589Z digest=sha256:3c6c7e9a80543a7530cdfbf45bbe3f320bb990d11b2d74f3b7099f633fa30e6f

Observation f6ac657b-95d2-4f9a-b96d-492dc2d348d0 · outbound

This paper cites Savsr: arbitrary-scale video super-resolution via a learned scale-adaptive network.

Implicit Neural Representation for Video Restoration Savsr: arbitrary-scale video super-resolution via a learned scale-adaptive network

Reference 17

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.

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Observation 1178a8db-57bc-48f6-a572-f595462e2f40 · outbound

This paper cites Vrt: A video restoration transformer.

Implicit Neural Representation for Video Restoration Vrt: A video restoration transformer

Reference 18

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.

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Observation b8d33aa1-07be-46fc-a860-b7a63e5ce1f9 · outbound

This paper cites Recurrent video restoration transformer with guided deformable attention.

Implicit Neural Representation for Video Restoration Recurrent video restoration transformer with guided deformable attention

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.

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Observation ba1fca24-df51-42e2-ae37-78a91446f00d · outbound

This paper cites A bayesian approach to adaptive video super resolution.

Implicit Neural Representation for Video Restoration A bayesian approach to adaptive video super resolution

Reference 20

Resolution
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.

source=pdf_text observed=2026-08-07T10:24:24.685851Z digest=sha256:2914f1f01d7311c0c71d90f9dc213f1306348d95e89cda1b206e6a77a7cbdb7c

Observation cca345e6-1a64-4b89-8167-7f7a2afbf2e5 · outbound

This paper cites Vsrdiff: Learning inter-frame temporal coherence in diffusion model for video super-resolution.

Implicit Neural Representation for Video Restoration Vsrdiff: Learning inter-frame temporal coherence in diffusion model for video super-resolution

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:25.121505Z

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=2026-08-07T10:24:24.691172Z digest=sha256:3783a2ddbd4d9183310489b65240039e25021adad23c3f6c539a54a96beb8ec9

Observation 22f715a7-ecef-486b-9524-7cbca0242fc1 · outbound

This paper cites Stadnet: Spatial-temporal attention-guided dual-path network for cardiac cine mri super- resolution.

Implicit Neural Representation for Video Restoration Stadnet: Spatial-temporal attention-guided dual-path network for cardiac cine mri super- resolution

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T10:24:25.113476Z

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=2026-08-07T10:24:24.696763Z digest=sha256:8a66db4db55065d3d0a8735e3cf6fc545de056d8e428a52ddc9556d4a2c3fdc9

Observation 40dde4ba-a923-4cce-bfc2-fc0eb4f6eb1f · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

Implicit Neural Representation for Video Restoration Instant neural graphics primitives with a multiresolution hash encoding

Reference 23

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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 11c79963-31b5-4d54-9b76-6e748a34d5e7 · outbound

This paper cites Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study.

Implicit Neural Representation for Video Restoration Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study

Reference 24

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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=2026-08-07T10:24:24.709671Z digest=sha256:00888e2d7466081cd99feb63451041058d1b7ffb94ad8e65639e36e1cc489d43

Observation e5c5b46f-a246-4ab9-b5c3-fe774e122d8c · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

Implicit Neural Representation for Video Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 25

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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 3aec4f38-fd4c-4241-b3cb-767ccc47b7f1 · outbound

This paper cites Super-resolution image reconstruction: a technical overview.

Implicit Neural Representation for Video Restoration Super-resolution image reconstruction: a technical overview

Reference 26

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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 92638377-8564-44e9-8646-a3b59abaeec2 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Implicit Neural Representation for Video Restoration The 2017 DAVIS Challenge on Video Object Segmentation

Reference 27

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no resolver link, observed 2026-08-07T10:24:24.736848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:24:24.736848Z digest=sha256:18b48b5de2c30818592b7368ca04c262b820b81875bd6247fe5f5728c76c8225

Observation 1094b9dc-e7db-45c0-b69a-d5dde1cc76d7 · outbound

This paper cites Frame-recurrent video super-resolution.

Implicit Neural Representation for Video Restoration Frame-recurrent video super-resolution

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:25.071024Z

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 b21560df-75c5-4c61-b3d6-6484d68ec75d · outbound

This paper cites Rethinking alignment in video super-resolution transformers.

Implicit Neural Representation for Video Restoration Rethinking alignment in video super-resolution transformers

Reference 29

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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 5f7dab49-a36d-4dfa-bb73-c243ad2762a9 · outbound

This paper cites Con- volutional lstm network: A machine learning approach for precipitation nowcasting.

Implicit Neural Representation for Video Restoration Con- volutional lstm network: A machine learning approach for precipitation nowcasting

Reference 30

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no resolver link, observed 2026-08-07T10:24:24.778821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:24:24.778821Z digest=sha256:666053c1752c70be3adad2adf5425cdbd2fea799803f3d4594457b0c87751431

Observation ca5e8798-235a-4abe-a5ec-d2245f1c09d8 · outbound

This paper cites Martel, Alexander W.

Implicit Neural Representation for Video Restoration Martel, Alexander W

Reference 31

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raw_fallback, observed 2026-08-07T10:24:25.050089Z

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=2026-08-07T10:24:24.790809Z digest=sha256:75dae59c61e7011268a1898c4882d35950872d91bb40e8d32a8579e21520d421

Observation 08182d06-c079-4024-b044-f8a9a944c3a2 · outbound

This paper cites Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Neel Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T.

Implicit Neural Representation for Video Restoration Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Neel Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:25.041439Z

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=2026-08-07T10:24:24.802401Z digest=sha256:35d253da94d30a6071301f6b130f82ee46007b863727f21424c8b7c22003c956

Observation 0d50bc88-c484-48f6-a6a3-aacf7ad4efcf · outbound

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

Implicit Neural Representation for Video Restoration Tdan: Temporally-deformable alignment network for video super-resolution

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:25.033373Z

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=2026-08-07T10:24:24.815746Z digest=sha256:b73ddf0883dd282912c1a64fa5ceecba395f8ff612e14e825cd0b9171f63409c

Observation 6cb1a224-217e-4f7a-9df1-1e928c046c57 · outbound

This paper cites Deep image prior.

Implicit Neural Representation for Video Restoration Deep image prior

Reference 34

Resolution
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no resolver link, observed 2026-08-07T10:24:24.830016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:24:24.830016Z digest=sha256:2859428034a136c664da7b70f44b181272355d3bd79753f9033eb7118af475b8

Observation 892abdd9-01a9-45ea-aa9a-53ff2177ca3d · outbound

This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.

Implicit Neural Representation for Video Restoration Edvr: Video restoration with enhanced deformable convolutional networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:25.020565Z

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=2026-08-07T10:24:24.842317Z digest=sha256:e52ee2eb04bc67837a211f43f3514badb381980891509519ef92251ff9e72559

Observation 71fa0f84-d6fb-45fc-8134-676e8c358c4b · outbound

This paper cites Video dehazing via a multi-range temporal alignment network with physical prior.

Implicit Neural Representation for Video Restoration Video dehazing via a multi-range temporal alignment network with physical prior

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:25.013058Z

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=2026-08-07T10:24:24.855551Z digest=sha256:0fd388de4fa71289c3f13a870d58e1d05521d491fed127a258493a8445dd19d0

Observation e401f0c5-182a-4b8b-b8db-511b6c916db3 · outbound

This paper cites Enhancing video super-resolution via implicit resampling-based alignment.

Implicit Neural Representation for Video Restoration Enhancing video super-resolution via implicit resampling-based alignment

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:25.004087Z

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=2026-08-07T10:24:24.867901Z digest=sha256:cda0fc9b6da24cf2f540c81a6388775f6118314673457cfcb211ec021e60e422

Observation d630b24b-4122-457d-95fb-441d2456c5f5 · outbound

This paper cites Motion-guided latent diffusion for temporally consistent real-world video super-resolution.

Implicit Neural Representation for Video Restoration Motion-guided latent diffusion for temporally consistent real-world video super-resolution

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.995546Z

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=2026-08-07T10:24:24.881048Z digest=sha256:a2a378f479b6151044448daa9c687405110135487494c67638dd35d025a9d50d

Observation b2ccbbe8-e8a7-4e59-b6d9-f10ebb93d868 · outbound

This paper cites Omniscient video super-resolution.

Implicit Neural Representation for Video Restoration Omniscient video super-resolution

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.987164Z

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=2026-08-07T10:24:24.888699Z digest=sha256:f85ef38ffd5739281e3c945a72e024266aa07981c027e22689f4d5163dc56fec

Observation 4ab1c3c5-0a26-4516-ae29-cb8e5f74a336 · outbound

This paper cites Inflation with diffusion: Efficient temporal adaptation for text-to-video super-resolution.

Implicit Neural Representation for Video Restoration Inflation with diffusion: Efficient temporal adaptation for text-to-video super-resolution

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.978392Z

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=2026-08-07T10:24:24.891173Z digest=sha256:797e7fc853442e6f39a1f1f91a3982511d0ee91a065ea54065f240ff1617ff81

Observation c070bf8d-c6d4-4f5d-88a1-a2680d6bc474 · outbound

This paper cites Super-resolution reconstruction for multi-angle remote sensing images considering resolution differences.

Implicit Neural Representation for Video Restoration Super-resolution reconstruction for multi-angle remote sensing images considering resolution differences

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.970120Z

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=2026-08-07T10:24:24.894078Z digest=sha256:a467e2d34cbf2f4557cab3ef84091b19b34c762ac6c153e08e5388e711ee3c29

Observation 6ce5ea11-197e-4eb2-853a-ea49830d41a2 · outbound

This paper cites Feature consistency-based style transfer for landscape images using dual-channel attention.

Implicit Neural Representation for Video Restoration Feature consistency-based style transfer for landscape images using dual-channel attention

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.961511Z

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=2026-08-07T10:24:24.897380Z digest=sha256:1b42cb1a0c6c3126853b079348a37af6e88858a440dfd0f8d7deafbb99962c86

Observation 49942682-372c-4e65-9f6b-759bdb947659 · outbound

This paper cites Avernet: All-in-one video restoration for time-varying unknown degradations.

Implicit Neural Representation for Video Restoration Avernet: All-in-one video restoration for time-varying unknown degradations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.953437Z

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=2026-08-07T10:24:24.900534Z digest=sha256:5613bf4964b2ec5a50acd35738858edea790cafea43145e653fe965dde753eee

Observation 38965a4c-dfc5-42db-899e-687a6e083445 · outbound

This paper cites Upscale-a-video: Temporal-consistent diffusion model for real-world video super-resolution.

Implicit Neural Representation for Video Restoration Upscale-a-video: Temporal-consistent diffusion model for real-world video super-resolution

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.944479Z

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=2026-08-07T10:24:24.903188Z digest=sha256:1d00a525fc630c370317e46780a76d7b50e41dd1c9a9b0cfafc74abea4795c4d

Observation de871257-5fb7-4fed-a0d0-123c29ae34e0 · outbound

This paper cites These comparisons span video super-resolution tasks at scale factors of ×2, ×4, and ×8, producing outputs at a resolution of 256×256.

Implicit Neural Representation for Video Restoration These comparisons span video super-resolution tasks at scale factors of ×2, ×4, and ×8, producing outputs at a resolution of 256×256

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:24:24.936061Z

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=2026-08-07T10:24:24.906071Z digest=sha256:81cb8c31e5ed233d152b768ce76b3193444c321c8bf8158ee4266565289502bf

Pith citing papers

No inbound Pith citation observations are available.