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Paper Citation Record · LEDGER

Swin Transformer V2: Scaling Up Capacity and Resolution

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2111.09883.

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

pith.paper-citation-record.v1
2111.09883 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:26.859746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:39:56.448882Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b64bb1fc-f5d5-4745-ace6-e2f91eda70db · inbound

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection cites this paper.

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:53:25.629695Z

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.

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Observation 820cadd7-4285-4221-9fe3-77aed4786430 · inbound

PEAR: Equal Area Weather Forecasting on the Sphere cites this paper.

PEAR: Equal Area Weather Forecasting on the Sphere Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:26.859746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46ab2a1c-346d-44af-b5dc-24a36fec54a4 · inbound

Mahalanobis++: Improving OOD Detection via Feature Normalization cites this paper.

Mahalanobis++: Improving OOD Detection via Feature Normalization Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:22.207327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:22.207327Z digest=sha256:781697f890a1497adfa37af4326613bda781daa9e6201edd80212c57efbbac73

Observation 802100dd-3356-4097-a0d1-bcba6f700f5d · inbound

Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images cites this paper.

Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:19:17.652707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:19:17.652707Z digest=sha256:a4bb91efcf6ce778055862704046ec45d3f4b510e211f38c7985ef958a7bfef0

Observation 54e728f4-c489-4fb5-b742-4a3f8337ea43 · inbound

Machine Learning from Explanations cites this paper.

Machine Learning from Explanations Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:34.541552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:45:34.541552Z digest=sha256:e6277bc9a60f47fbd5f30dee2cdb21c54e3646f3c116700d5fe065a92a2e297f

Observation 266dba0d-94df-47af-b77b-c7167231b137 · inbound

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification cites this paper.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:38.053393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:38.053393Z digest=sha256:f5c469fa9fb8a502baae07af5e7c6e0be2a74a1b24ec7ac4657d483f10c0c59d

Observation b1691be5-d9bf-4368-a9dc-97e7d50eeb67 · inbound

Towards White-Box Deep Wireless Sensing cites this paper.

Towards White-Box Deep Wireless Sensing Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T12:28:45.917576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:28:45.917576Z digest=sha256:9637b4066ad2c021836970f6d62c782f1b3c08629c1f4600db2a431b6a2ae98e

Observation 464379c5-2d15-4e41-a37e-209461391f77 · inbound

Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis cites this paper.

Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:50:50.409469Z

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.

source=pdf_text observed=2026-05-10T18:18:20.856241Z digest=sha256:a4fb7d7cef1fc4a4a40759d8c8090b7eefbbfc81c6137957adeb0b34b670e5ce

Observation 66275b70-d2e7-4373-a2ff-0e68381ddd89 · inbound

FeatMap: Understanding image manipulation in the feature space and its implications for feature space geometry cites this paper.

FeatMap: Understanding image manipulation in the feature space and its implications for feature space geometry Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:37:11.568303Z

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.

source=pdf_text observed=2026-05-13T03:34:04.481159Z digest=sha256:eddfc1fc6257bd424a95c1748f184898de174428905bdffeb09a1b52b4ea9d4f

Observation 76cd896c-c4ed-4332-a850-6ae857fe3da4 · inbound

Skillful high-resolution weather forecasting independent of physical models cites this paper.

Skillful high-resolution weather forecasting independent of physical models Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T10:03:17.557064Z

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.

source=pdf_text observed=2026-06-29T09:39:17.185588Z digest=sha256:e03939cf437bcba0fa914fb679fca375183b71feac10a8e1b301c3aa02a7470a

Observation e6a21bdf-414a-4cd1-b4fe-cc282c674593 · inbound

ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation cites this paper.

ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:56:38.951059Z

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.

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Observation 8b55daad-fee2-42cc-a6da-4d167aaf5603 · inbound

Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution cites this paper.

Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T15:39:56.450266Z

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.

source=pdf_text observed=2026-06-26T01:32:45.450999Z digest=sha256:93866f9207c62c26b268f090df42a96e3f3921b247fc796cd9206b5a4d997ef2

Observation 88ddc115-e44c-4b0e-9862-03886701fe76 · inbound

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning cites this paper.

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T07:56:36.798598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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