Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2108.13002.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:56.009927Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:56.209236Z
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 88929844-dd7d-4d24-99b0-97ac849cac13 · inbound
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation cites this paper.
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:57:46.201159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91f56121-41eb-44f6-90db-29df951a81c6 · inbound
Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration cites this paper.
Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:08:13.961220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d847541-5d09-4841-8d5d-da080bca32a4 · inbound
Spectral-Adaptive Modulation Networks for Visual Perception cites this paper.
Spectral-Adaptive Modulation Networks for Visual Perception A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:35:11.618224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 08c17a26-338b-4143-b4f4-deafea2c3a25 · inbound
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach cites this paper.
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:01:56.009927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46449101-f5bf-41d5-b7bd-c5a1e4915469 · inbound
BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection cites this paper.
BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:56.210645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.