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Paper Citation Record · LEDGER

ResNeSt: Split-Attention Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2004.08955.

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

pith.paper-citation-record.v1
2004.08955 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:45:29.298987Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:04:44.598166Z

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 4a6d32a1-3800-425b-9109-e892f816b2c6 · inbound

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows cites this paper.

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows ResNeSt: Split-Attention Networks

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T19:27:56.919634Z

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=2026-05-15T19:27:56.785857Z digest=sha256:7361a3b1dbdbcc17f38fd731abf2c2666ee176de7639f8229f9e16dc2189c392

Observation 2a403337-274b-449e-b64d-11d3b16ff89d · inbound

Language-driven Semantic Segmentation cites this paper.

Language-driven Semantic Segmentation ResNeSt: Split-Attention Networks

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T03:21:12.852116Z

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=2026-05-17T03:21:12.803259Z digest=sha256:88849746ae450d3f40e7899f1db8393833fe4152ec5230510c6fd5af8407682a

Observation 343763ec-c86b-46f2-94a4-80c4c69dc2cd · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive ResNeSt: Split-Attention Networks

Reference 219

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:04:44.600053Z

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=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:2f494d42df87dc8b5189c7000e3d6cd7ff7597a928239e6cc1f4994adb5191fb

Observation 221d7766-86ac-4ebf-959e-400dbc079b93 · inbound

Navigating limitations with precision: A fine-grained ensemble approach to wrist pathology recognition on a limited x-ray dataset cites this paper.

Navigating limitations with precision: A fine-grained ensemble approach to wrist pathology recognition on a limited x-ray dataset ResNeSt: Split-Attention Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T12:45:29.298987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:45:29.298987Z digest=sha256:5af831b52918fad1b8834de0ac65f86b6601596f59a4600d8e57c73e342471bd

Observation 03f1c90a-cf45-4f89-9459-0d8b22d83880 · inbound

Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers cites this paper.

Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers ResNeSt: Split-Attention Networks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:44.421105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:44.421105Z digest=sha256:c382aa33c0bfd055751588ded31d23341f40effb753c98e24397b155b71db548

Observation 5d19bd34-b4c1-483a-bc0c-f54250af5e62 · inbound

TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective cites this paper.

TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective ResNeSt: Split-Attention Networks

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T05:16:27.715712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:16:27.715712Z digest=sha256:8cc5f3167bc47ca0ec4b1680ebe82e053200f5500e416b89f24c50b69422e587

Observation d7a35934-a9ae-4ca2-b43a-e299aa4641f2 · inbound

Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis cites this paper.

Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis ResNeSt: Split-Attention Networks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-31T08:32:21.988594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:32:21.988594Z digest=sha256:12abc21999e6c35c3bd380a47bad7d561df969c19675932c8bcc25e5b2a64f7c