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Paper Citation Record · LEDGER

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1904.11492.

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

pith.paper-citation-record.v1
1904.11492 v1

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:07:33.174339Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T06:01:56.378112Z

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 86f47374-23f1-46b5-91e3-b52fa4d5abf2 · inbound

Gated Convolutional Networks with Hybrid Connectivity for Image Classification cites this paper.

Gated Convolutional Networks with Hybrid Connectivity for Image Classification GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T11:07:33.174339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:07:33.174339Z digest=sha256:80d64ddfb7a0c9b96b2ae9330c7b2879492f3d6b148f2a34b2fa98ad1bce10f4

Observation 481d72fd-4ac0-4c92-9590-7a8fac42b133 · inbound

Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending cites this paper.

Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T10:24:56.628210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:24:56.628210Z digest=sha256:9cb55a15d88d96bc3e21d6af8602bd8b1bff1f85fce8aa429d12510e89619733

Observation 467fb78d-7f99-4ccd-bb48-ae798a58f8a8 · inbound

UPI-Net: Semantic Contour Detection in Placental Ultrasound cites this paper.

UPI-Net: Semantic Contour Detection in Placental Ultrasound GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-14T06:01:56.382677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T06:01:56.182716Z digest=sha256:0a1be45154c46bcf7c13e7527a2b159e4c0f57120e7b98ef1a5de2bef821a193

Observation b9b928a1-4036-4af0-ba1c-c2cfd9299c01 · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T20:23:10.276979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:23:10.276979Z digest=sha256:b39e330cf9a2ad23b0e67e8097b5fcb0290344d2b3ad4c9653b5f3b099a57eb5