Paper Citation Record · LEDGER

Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2112.05561.

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

pith.paper-citation-record.v1
2112.05561 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:48.304865Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

416
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b9b24f8b-9de1-4de0-a714-570c001d2d3e · inbound

FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound cites this paper.

FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:48.304865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5eacb4a-1b9d-4430-91be-00d18496f4a5 · inbound

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration cites this paper.

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:19.331633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e1f0e4-1a1c-437d-9133-feac74d45084 · inbound

Hybrid Swin Attention Networks for Simultaneously Low-Dose PET and CT Denoising cites this paper.

Hybrid Swin Attention Networks for Simultaneously Low-Dose PET and CT Denoising Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:36:44.534394Z

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 58af5651-2a52-4bfe-b50f-606d266a757e · inbound

Dual-stream Spatio-Temporal GCN-Transformer Network for 3D Human Pose Estimation cites this paper.

Dual-stream Spatio-Temporal GCN-Transformer Network for 3D Human Pose Estimation Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:11:19.900563Z

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 7dfec646-d5d8-43fe-9a90-ebc76d4ad5cc · inbound

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-27T20:11:13.611249Z

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 dd077d34-40d3-4737-ae99-ed21a8fe0824 · inbound

YOLO-AMC: An Improved YOLO Architecture with Attention Mechanisms for Building Crack Detection cites this paper.

YOLO-AMC: An Improved YOLO Architecture with Attention Mechanisms for Building Crack Detection Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:20.904305Z

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.