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Paper Citation Record · LEDGER

A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2108.13002.

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

pith.paper-citation-record.v1
2108.13002 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:57:46.201159Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-12T18:57:46.201159Z digest=sha256:1b392fe3ae48ba4d71c4209bb9ecc6089b6c1d7863f4d216e3c1fe4c41514b32

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.

source=pdf_text observed=2026-08-11T22:08:13.961220Z digest=sha256:3b4cb70737b2bf080b7d0f08646167aebad644624a5da93774449518126ef8f2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T22:33:48.137960Z digest=sha256:085d6bf8e23b4841cf8e65c6a98956129c1187c171b9fd7291d7720eea96feec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T02:53:19.538957Z digest=sha256:279dbeea6bd48f1699a0ac073079b00bd26de20b05eea6c586a52946c98c1c26