Paper Citation Record · LEDGER

Self-Supervised Learning with Swin Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2105.04553.

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

pith.paper-citation-record.v1
2105.04553 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:59.741836Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:59:38.393255Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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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 0a83f645-2baf-40e8-a163-879b704a2b8b · inbound

BEiT: BERT Pre-Training of Image Transformers cites this paper.

BEiT: BERT Pre-Training of Image Transformers Self-Supervised Learning with Swin Transformers

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:50:11.507780Z

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 07498bde-05d3-4cf3-9bbb-ee680aa2e17c · inbound

iBOT: Image BERT Pre-Training with Online Tokenizer cites this paper.

iBOT: Image BERT Pre-Training with Online Tokenizer Self-Supervised Learning with Swin Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.623610Z

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 5fe8cdfd-dd5d-4cdc-a608-7b9d11b91acf · inbound

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective cites this paper.

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective Self-Supervised Learning with Swin Transformers

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:59.741836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d93032-4f2c-4125-92a9-a3610f048146 · inbound

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks cites this paper.

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Self-Supervised Learning with Swin Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:01.310001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c555f9c4-339b-46a8-b334-b698d2f6126d · inbound

Semantic Concentration for Self-Supervised Dense Representations Learning cites this paper.

Semantic Concentration for Self-Supervised Dense Representations Learning Self-Supervised Learning with Swin Transformers

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T19:13:50.015831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e301bd1a-44a5-43e0-aa21-cee69902dca1 · inbound

Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records cites this paper.

Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records Self-Supervised Learning with Swin Transformers

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:19:00.362565Z

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 8d777390-d9d5-4f1f-aad3-1c02012662a2 · inbound

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting cites this paper.

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting Self-Supervised Learning with Swin Transformers

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:59:38.395765Z

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 6bffadc1-27ec-4fb2-8ea4-755cdeff9dc9 · inbound

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting cites this paper.

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting Self-Supervised Learning with Swin Transformers

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T02:09:41.354339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.