Paper Citation Record · LEDGER

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2301.03580.

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

pith.paper-citation-record.v1
2301.03580 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:30.573848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:06:30.208129Z

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 69c524b7-0d97-493a-808a-43afa9726f0f · inbound

GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving cites this paper.

GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T17:34:35.062377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5cdacac-0d38-4a09-a3b9-d5b1a6bd4e33 · inbound

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting cites this paper.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T11:00:56.450036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8999e18-a846-4482-83f2-39515027b45f · inbound

An OpenMind for 3D medical vision self-supervised learning cites this paper.

An OpenMind for 3D medical vision self-supervised learning Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:41.224387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9625ac-66a0-4434-afd2-95ab755176b4 · inbound

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation cites this paper.

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:12.863106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3faf1f73-282a-43fb-91e7-84949d338ac8 · inbound

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation cites this paper.

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T05:32:41.922604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7e1fa5-b681-43a1-af7f-3e7bf8e10591 · inbound

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images cites this paper.

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:30.573848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7490fec6-a74b-4c7b-a074-26e13bba8ad5 · inbound

Thoughts on Objectives of Sparse and Hierarchical Masked Image Model cites this paper.

Thoughts on Objectives of Sparse and Hierarchical Masked Image Model Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:11:15.033487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce0925d8-efd3-47b2-a032-433bee7cab1b · inbound

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

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:59.607292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83feca3c-b794-4448-9591-5bb1c96a7167 · inbound

BiVM: Accurate Binarized Neural Network for Efficient Video Matting cites this paper.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:34.508875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1dc82df-c4b2-41d3-bbb5-4915770a3e1f · inbound

Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset cites this paper.

Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T15:43:06.629544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d21bac3-e89f-441e-8ea5-dc3e67d74bce · inbound

BIAS: A Biologically Inspired Algorithm for Video Saliency Detection cites this paper.

BIAS: A Biologically Inspired Algorithm for Video Saliency Detection Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:41:03.285355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0672aff3-4c1d-4eb0-8079-1a1b83f0bc91 · inbound

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection cites this paper.

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:30.209799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4f911dab-194e-4da2-8a95-382c7f337a17 · inbound

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation cites this paper.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T22:30:01.425484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a113148b-a803-4a73-93f3-291e2d1d31b0 · inbound

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation cites this paper.

Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:34.475814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.