Paper Citation Record · LEDGER

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.11768.

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

pith.paper-citation-record.v1
2506.11768 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:06:28.023908Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e4ad061-18cf-4c8a-8a6b-8ef7a955032d · outbound

This paper cites Video Super-Resolution Transformer.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Video Super-Resolution Transformer

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e860be-e6f4-4a6d-b587-d0b60fce9f85 · outbound

This paper cites BasicVSR: The search for essential com- ponents in video super-resolution and beyond.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution BasicVSR: The search for essential com- ponents in video super-resolution and beyond

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.983717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24244e37-68b8-4fca-85bf-358ce0e0a424 · outbound

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

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution BasicVSR++: Improving video super- resolution with enhanced propagation and alignment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.950198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa4b34c7-72a6-43ce-941c-07fcae900ca2 · outbound

This paper cites Activating more pixels in image super- resolution transformer.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Activating more pixels in image super- resolution transformer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.917925Z

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Observation fc39fbe1-98b3-445e-a6f2-2b47601b3147 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:24.991356Z

Source-reported events for the cited work

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Observation 0d9f9fc6-19dd-4acb-a3ff-b5f36b5e7a21 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:25.094149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7316e306-eda3-41e5-970f-08cd2a0ddfc2 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:25.179667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5578e8a2-6ad6-4927-bc4f-8d879e632efd · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Efficiently Modeling Long Sequences with Structured State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:25.266489Z

Source-reported events for the cited work

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Observation bcbc07b2-d80a-44da-84c9-78ca094f936e · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.897088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7fd02cc-0d25-45cc-b546-6d1139451d86 · outbound

This paper cites Interpreting super-resolution networks with local attribution maps.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Interpreting super-resolution networks with local attribution maps

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.878678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80f36453-a494-4c07-8170-bdfd1244beac · outbound

This paper cites MambaIRv2: Attentive State Space Restoration.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution MambaIRv2: Attentive State Space Restoration

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:25.532199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00639742-06c6-455d-bf0e-9e9a5f38cd63 · outbound

This paper cites MambaIR: A simple baseline for im- age restoration with state-space model.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution MambaIR: A simple baseline for im- age restoration with state-space model

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.857540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0878d4a8-e271-44f9-a28a-0cf816da855d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Adam: A Method for Stochastic Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:25.707444Z

Source-reported events for the cited work

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Observation a97e35cb-1f31-42ab-90a1-09848eb41dc7 · outbound

This paper cites Deep laplacian pyramid networks for fast and accurate super-resolution.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Deep laplacian pyramid networks for fast and accurate super-resolution

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.836152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1284338-6574-4235-a63f-ef14e5bab892 · outbound

This paper cites Multi-frequency representation enhancement with privi- lege information for video super-resolution.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Multi-frequency representation enhancement with privi- lege information for video super-resolution

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.813684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24dac7ed-eb35-47b0-8001-223f9eea9fd4 · outbound

This paper cites MuCAN: Multi-correspondence aggregation network for video super-resolution.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution MuCAN: Multi-correspondence aggregation network for video super-resolution

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.796755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e21b127-c37c-4aea-8e2d-42615683414d · outbound

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

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Recurrent video restoration transformer with guided deformable attention

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.507939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15bd0b0a-4bac-431d-a0eb-2be9197fa1b9 · outbound

This paper cites VRT: A video restoration transformer.IEEE Transactions on Image Processing, 33:2171–2182, 2024.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution VRT: A video restoration transformer.IEEE Transactions on Image Processing, 33:2171–2182, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.284276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8915203-28cf-4813-871d-f3688702efe8 · outbound

This paper cites On bayesian adaptive video super resolution.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 36(2):346–360, 2013.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution On bayesian adaptive video super resolution.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 36(2):346–360, 2013

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:32.051713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d47620e-dbe5-45f1-88dc-8c57642e45be · outbound

This paper cites Learning trajectory-aware transformer for video super- resolution.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Learning trajectory-aware transformer for video super- resolution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:31.846616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f17f81b7-d0b3-4d2c-acb5-1add3a6de7b5 · outbound

This paper cites VMamba: Visual State Space Model.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution VMamba: Visual State Space Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:26.565515Z

Source-reported events for the cited work

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Observation eb7bb431-9847-4d9a-8660-0ee4ad85fd7e · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:06:26.647902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7022ca75-ce81-4ca5-bc61-72f5a5651ac0 · outbound

This paper cites You watch, you give, and you engage: a study of live streaming practices in china.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution You watch, you give, and you engage: a study of live streaming practices in china

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:31.613981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c20c693-7149-464c-87ce-99c4ff7ed0f2 · outbound

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

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution NTIRE 2019 challenge on video deblurring and super- resolution: Dataset and study

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:31.409487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bd805a3-b0f6-4a84-88b7-06c233bd4ff7 · outbound

This paper cites an unresolved cited work.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:06:31.206929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81284a04-f593-43c2-84a5-78a303a2f4c0 · outbound

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

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Rethinking alignment in video super- resolution transformers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:30.931402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59c2383d-ec3e-42f6-a633-ab0686d9c16d · outbound

This paper cites CTVSR: Collaborative spatial–temporal transformer for video super-resolution.IEEE Transactions on Circuits and Systems for Video Technology, 34(6):5018– 5032, 2024.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution CTVSR: Collaborative spatial–temporal transformer for video super-resolution.IEEE Transactions on Circuits and Systems for Video Technology, 34(6):5018– 5032, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:30.646310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ed174b4-54a8-43ec-b5a3-75e22d2c2f46 · outbound

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

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution TDAN: Temporally-deformable alignment network for video super-resolution

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:30.464840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb823ae1-fa00-45c0-8a82-25cdefdc5a5b · outbound

This paper cites Attention is all you need.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Attention is all you need

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:30.263540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d954d3a-8c72-4ed7-8ec4-73159063e183 · outbound

This paper cites Bring- ing old films back to life.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Bring- ing old films back to life

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:30.131381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38422b55-642f-4b08-a047-f19f21b8f042 · outbound

This paper cites EDVR: Video restoration with en- hanced deformable convolutional networks.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution EDVR: Video restoration with en- hanced deformable convolutional networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:29.942978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c79120a-23dc-40bc-9a2c-e927d4e6e0bd · outbound

This paper cites MambaLLIE: Implicit retinex-aware low light enhancement with global-then-local state space.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution MambaLLIE: Implicit retinex-aware low light enhancement with global-then-local state space

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:29.756603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de8a248b-2bb3-4ec8-ae45-aa83dc02d25f · outbound

This paper cites RainMamba: Enhanced locality learning with state space models for video deraining.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution RainMamba: Enhanced locality learning with state space models for video deraining

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:29.532531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cfe06b0b-7836-496b-8af3-a293de53dd8b · outbound

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

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Enhancing video super-resolution via im- plicit resampling-based alignment

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:29.390788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e78067d9-c95a-4062-995f-930ae4ce6078 · outbound

This paper cites Videogigagan: Towards detail-rich video super-resolution.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Videogigagan: Towards detail-rich video super-resolution

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:29.227400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b0c529f-b9b1-406e-9c2b-20bdfa54f43e · outbound

This paper cites Video enhancement with task-oriented flow.International Journal of Computer Vision, 127:1106– 1125, 2019.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Video enhancement with task-oriented flow.International Journal of Computer Vision, 127:1106– 1125, 2019

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:29.048421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c31da9f1-feab-4852-b66f-eef0aa61eaec · outbound

This paper cites Learning texture transformer network for image super-resolution.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Learning texture transformer network for image super-resolution

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:28.911533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6739348a-4e61-4b1c-b1ec-ba2c2b955b11 · outbound

This paper cites Progressive fusion video super-resolution net- work via exploiting non-local spatio-temporal correlations.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Progressive fusion video super-resolution net- work via exploiting non-local spatio-temporal correlations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:28.768099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c26e7b6c-ee30-4d1b-8f85-9c89ae6b2682 · outbound

This paper cites VFIMamba: Video frame inter- polation with state space models.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution VFIMamba: Video frame inter- polation with state space models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:28.647075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afe6e362-06e0-43c5-ba57-c76a1782bbae · outbound

This paper cites A super-resolution reconstruction algorithm for surveillance images.Signal Processing, 90(3):848–859,.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution A super-resolution reconstruction algorithm for surveillance images.Signal Processing, 90(3):848–859,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:28.497036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b657bc0-9203-4bbd-93ab-6156d262cdbd · outbound

This paper cites Video super-resolution trans- former with masked inter&intra-frame attention.

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution Video super-resolution trans- former with masked inter&intra-frame attention

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:06:28.366638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.