Paper Citation Record · LEDGER

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2207.03620.

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

pith.paper-citation-record.v1
2207.03620 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:40.266545Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:37:00.220352Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 5b4713b3-d37e-4d5c-96fe-603656d29a86 · inbound

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model cites this paper.

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:37:00.236349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcf5542d-b23e-4943-92c4-d5881cf18273 · inbound

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma cites this paper.

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:40.266545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 213f2d4d-e857-46e8-ad5f-4654d99043b7 · inbound

DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions cites this paper.

DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T20:22:31.648897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571a1690-a7c7-4193-a6ef-702b69feb4dd · inbound

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection cites this paper.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:11.652490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac98557-404f-4523-875a-ca1991c2cd76 · inbound

Moir\'e Zero: An Efficient and High-Performance Neural Architecture for Moir\'e Removal cites this paper.

Moir\'e Zero: An Efficient and High-Performance Neural Architecture for Moir\'e Removal More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:48:21.161482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28977110-88ff-4a02-b364-a65e34e8c6d9 · inbound

BEVANet: Bilateral Efficient Visual Attention Network for Real-Time Semantic Segmentation cites this paper.

BEVANet: Bilateral Efficient Visual Attention Network for Real-Time Semantic Segmentation More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:16:29.578467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2135575-25c3-4e1d-9980-497426c1375c · inbound

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models cites this paper.

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T04:45:32.888244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e249f44b-94fb-4016-bcc1-aeb47b5f0df4 · inbound

On the Reliability of Cue Conflict and Beyond cites this paper.

On the Reliability of Cue Conflict and Beyond More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-14T23:18:41.655337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ef9a55-7884-48d5-bd73-267f179e0f87 · inbound

KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition cites this paper.

KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:09.308872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0de0604-7b6b-4bf9-b2ae-a67fe314d428 · inbound

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces cites this paper.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T17:27:02.115346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.