Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T01:09:10.191768Z
Paper Citation Record · LEDGER
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution
As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.02159.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact2
- verified fuzzy30
- unresolved17
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ab54a669-4784-4513-b304-2f37d68cbdcc · outbound
This paper cites Longformer: The Long-Document Transformer.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Longformer: The Long-Document Transformer
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe0d8285-68fa-4b11-b00e-d4206bdb7725 · outbound
This paper cites Real- time video super-resolution with spatio-temporal networks and motion compensation.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Real- time video super-resolution with spatio-temporal networks and motion compensation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.325736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d23daf56-037c-4008-b8dc-61fd03a0f6ea · outbound
This paper cites Video Super-Resolution Transformer.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Video Super-Resolution Transformer
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:09:09.905142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 044d9f3a-3d39-46ca-bbd6-0f48309ba300 · outbound
This paper cites BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T01:09:10.824100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fc0730b1-c0f0-4773-b52a-64701a937bc6 · outbound
This paper cites Basicvsr: The search for essential compo- nents in video super-resolution and beyond.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Basicvsr: The search for essential compo- nents in video super-resolution and beyond
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.311270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ddc71bae-05d0-470e-a59e-779be4219610 · outbound
This paper cites Basicvsr++: Improving video super- resolution with enhanced propagation and alignment.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Basicvsr++: Improving video super- resolution with enhanced propagation and alignment
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.297736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ae29442-efbc-4f54-9eba-6b1b9faf483d · outbound
This paper cites Investigating tradeoffs in real-world video super-resolution.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Investigating tradeoffs in real-world video super-resolution
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.285053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9d2525a6-e813-420a-8eb4-85242d651e34 · outbound
This paper cites Two deterministic half-quadratic regular- ization algorithms for computed imaging.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Two deterministic half-quadratic regular- ization algorithms for computed imaging
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.269656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1d341f44-d7dd-49de-b47f-fc9b2b0bb87e · outbound
This paper cites Generating Long Sequences with Sparse Transformers.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Generating Long Sequences with Sparse Transformers
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45204a22-af48-43df-9d08-a387d79151e9 · outbound
This paper cites Learning temporal coherence via self- supervision for gan-based video generation.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Learning temporal coherence via self- supervision for gan-based video generation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.248057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b7a4860b-1ed5-4389-848f-4c88adc12bda · outbound
This paper cites Deformable convolutional net- works.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Deformable convolutional net- works
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.233448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 487f2ae8-3c61-4c7e-bfdd-daa5c78e84c4 · outbound
This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Flashattention: Fast and memory-efficient exact attention with io-awareness
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.220505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba9cc3b6-ddc2-448c-989b-9a2f871ea893 · outbound
This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution LongNet: Scaling Transformers to 1,000,000,000 Tokens
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:09:09.958449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 275f777b-828d-4d41-9b8c-6a945997e542 · outbound
This paper cites Efficient video super-resolution through recurrent latent space propagation.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Efficient video super-resolution through recurrent latent space propagation
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.206522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e10ee485-676c-4c44-8e6a-57a8a41b1685 · outbound
This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Efficiently Modeling Long Sequences with Structured State Spaces
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6944ae22-81c6-49c6-8a8f-c2c644185b91 · outbound
This paper cites Video Super-Resolution with Recurrent Structure-Detail Network.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Video Super-Resolution with Recurrent Structure-Detail Network
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a5ce5e1-c534-4b40-a223-1ed6757d8f69 · outbound
This paper cites Video super-resolution with temporal group attention.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Video super-resolution with temporal group attention
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.189912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4c1ac9d2-a4e6-40fc-a25d-f1a8efaee74f · outbound
This paper cites Look back and forth: Video super-resolution with explicit temporal difference modeling.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Look back and forth: Video super-resolution with explicit temporal difference modeling
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.175323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3505aeea-0cd4-4723-83ba-6d9df91b0a66 · outbound
This paper cites Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.161448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 87327aab-a809-4ccc-9889-3ccb0339218b · outbound
This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Transformers are rnns: Fast autoregressive transformers with linear attention
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.143907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e9922734-07fc-47e2-a455-ab2d2197e796 · outbound
This paper cites Efficient memory management for large lan- guage model serving with pagedattention.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Efficient memory management for large lan- guage model serving with pagedattention
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.130226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 444b20d1-5d06-4556-a7e4-cc13d0cd0df1 · outbound
This paper cites Sequence Parallelism: Long Sequence Training from System Perspective.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Sequence Parallelism: Long Sequence Training from System Perspective
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98df0be7-10a7-432a-a225-c2da68ba2b37 · outbound
This paper cites MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:09:10.025629Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a142d09f-99af-419c-9f95-a989bcbbedc1 · outbound
This paper cites VRT: A Video Restoration Transformer.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution VRT: A Video Restoration Transformer
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbedc642-c7fe-4216-b532-154ada117e32 · outbound
This paper cites Recurrent video restoration transformer with guided deformable attention.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Recurrent video restoration transformer with guided deformable attention
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.117290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e6ea2b44-6868-4520-b153-88219e1e123d · outbound
This paper cites Learning trajectory-aware transformer for video super- 9 resolution.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Learning trajectory-aware transformer for video super- 9 resolution
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.101331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac3f869f-e45c-460c-8966-589607da5cc5 · outbound
This paper cites Robust video super-resolution with learned temporal dynamics.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Robust video super-resolution with learned temporal dynamics
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.085598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a6cd9c30-c60e-413b-8056-56cd3620cff0 · outbound
This paper cites Generating Wikipedia by Summarizing Long Sequences.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Generating Wikipedia by Summarizing Long Sequences
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef14bbad-5a0b-47fc-a20d-d6d7a4cfbe4c · outbound
This paper cites Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.072038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a3b7fae8-0b40-45f5-94c8-09ff1d3cb160 · outbound
This paper cites Training recurrent networks online without backtracking.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Training recurrent networks online without backtracking
Reference 30
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68170d3f-ef20-4529-97da-101bbb62c7f5 · outbound
This paper cites Pgt: A pro- gressive method for training models on long videos.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Pgt: A pro- gressive method for training models on long videos
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7eb13227-2439-47a2-90c4-93367bea952c · outbound
This paper cites Learning spatiotemporal frequency-transformer for com- pressed video super-resolution.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Learning spatiotemporal frequency-transformer for com- pressed video super-resolution
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.041201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aea92930-82d4-4c57-a8ee-6f928ab453ca · outbound
This paper cites Frame-recurrent video super-resolution.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Frame-recurrent video super-resolution
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.026010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c8efe0e3-fe82-4c9f-8dcc-c6adc28589dd · outbound
This paper cites Fast Transformer Decoding: One Write-Head is All You Need.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Fast Transformer Decoding: One Write-Head is All You Need
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 502c0c2d-3ea7-4549-a515-802888dc4269 · outbound
This paper cites Rethinking Alignment in Video Super-Resolution Transformers.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Rethinking Alignment in Video Super-Resolution Transformers
Reference 35
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7313377-ef7a-47af-8b1a-41cb025ef6a3 · outbound
This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:11.003640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 18b886c7-74b0-46a8-80f1-e6e533c99d27 · outbound
This paper cites Unbiased Online Recurrent Optimization.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Unbiased Online Recurrent Optimization
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e09264e2-86ee-440e-9742-953b9d0b78ac · outbound
This paper cites Unbiasing Truncated Backpropagation Through Time.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Unbiasing Truncated Backpropagation Through Time
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e851af7-51bf-4b82-9a0f-bd53387afbe6 · outbound
This paper cites Detail-revealing deep video super-resolution.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Detail-revealing deep video super-resolution
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.989735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9ceddd83-470f-4cb8-994b-cba04e09488c · outbound
This paper cites Tdan: Temporally-deformable alignment network for video super- resolution.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Tdan: Temporally-deformable alignment network for video super- resolution
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.973969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 12493779-4d68-4370-80ff-60ee65387604 · outbound
This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Edvr: Video restoration with enhanced deformable convolutional networks
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.954134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c2414183-3759-45d5-815d-45618d236c86 · outbound
This paper cites Backpropagation through time: what it does and how to do it.Proceedings of the IEEE, 78(10):1550–1560,.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Backpropagation through time: what it does and how to do it.Proceedings of the IEEE, 78(10):1550–1560,
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:09:10.161070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96585d4b-67e1-480b-a0b6-2bb3d88a5b64 · outbound
This paper cites Gradient-based learning algorithms for recurrent networks and their computational complexity.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Gradient-based learning algorithms for recurrent networks and their computational complexity
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.931565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6ef542c7-4d59-40e6-8d48-74e8fb40fa8b · outbound
This paper cites Enhancing Video Super-Resolution via Implicit Resampling-based Alignment.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T01:09:10.244828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9f2cfd6a-377c-43d8-b134-457e36cb1f92 · outbound
This paper cites Video enhancement with task-oriented flow.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Video enhancement with task-oriented flow
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.917216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d9a4edc6-9e70-4876-9123-7f47ba6384f1 · outbound
This paper cites Video super-resolution trans- former with masked inter&intra-frame attention.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Video super-resolution trans- former with masked inter&intra-frame attention
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.903582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ff3accb7-5bc2-4b74-b183-dc7d756e0b72 · outbound
This paper cites an unresolved cited work.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T01:09:10.889189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5e24d05d-5b17-4e72-8456-e144321c937a · outbound
This paper cites It is obvious in the Fig.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution It is obvious in the Fig
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.874443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 52b21d61-9829-44ef-91c1-0ef1c73255b3 · outbound
This paper cites We calculate PSNR and SSIM on the RGB channel for these datatsets.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution We calculate PSNR and SSIM on the RGB channel for these datatsets
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:09:10.861074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9119e2d2-6041-43e5-be66-1db572910e00 · outbound
This paper cites an unresolved cited work.
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Unresolved cited work
Reference 2022
- Resolution
- parse uncertain
- no resolver link, observed 2026-08-16T01:09:10.121667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.