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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:53:11.652490Z

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T21:37:00.014069Z digest=sha256:99012235e7d067a634dea51755f8c141eaec39934b3f26aaf176985e42422875

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.

source=pdf_text observed=2026-08-06T19:53:11.652490Z digest=sha256:f451f7ee585b002fbff2f4f5b1df5183748909c6b01afd5751921ea13dac112d

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.

source=arxiv_source observed=2026-08-06T11:48:21.161482Z digest=sha256:dd46e3a2faa8eda6e4ba8b54d7c0ae17fe5474d3379f002a0b429746452d82b0

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.

source=pdf_text observed=2026-08-05T22:16:29.578467Z digest=sha256:e353c30d17ed9942259dd89f9d1a127f6b5489adc66dc90afc596edcf25ead0b

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.

source=pdf_text observed=2026-08-03T04:45:32.888244Z digest=sha256:27d3ac8b4ae9dffe0e9393b558e48c0cb3b87260fb551253ecb72f180befb0cf

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.

source=pdf_text observed=2026-07-14T23:18:41.655337Z digest=sha256:8c461f08ac94331ee7e56ba0210e99da790775352d6cc4dd455c06d8bbaa4a1b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T08:31:35.014294Z digest=sha256:8a818f45ff9fecc7f532f29b1190cbf4ba878c54e04ed9132638a29c64e88461

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.

source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:e6c2bebffe8ecec28ea8d6291bf5970003bbb9c3e42dc3cda5dd1ba0f7b1b593