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Paper Citation Record · LEDGER

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.01725.

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

pith.paper-citation-record.v1
2405.01725 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:45:38.335811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:45:48.443850Z

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 c154c55b-e44e-4078-987d-903153ab14ac · inbound

LoyalDiffusion: A Diffusion Model Guarding Against Data Replication cites this paper.

LoyalDiffusion: A Diffusion Model Guarding Against Data Replication Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T04:45:38.335811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:45:38.335811Z digest=sha256:bdbb1e8cd188ee90d7879b1b9ce59ea01c104b9c1f3229c73daa05d46c3d5c75

Observation 1f04b7a2-91e7-4b1b-a934-6bc0ba2dadd9 · inbound

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence cites this paper.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:21.146815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:21.146815Z digest=sha256:d024093639b5c71ed3d12cdc6a1ab5a971fda5f9f804aa94fdf94f68ade0e4ee

Observation 78c8e1a8-5da1-4307-b158-07f688514774 · inbound

IncepDeHazeGAN: Novel Satellite Image Dehazing cites this paper.

IncepDeHazeGAN: Novel Satellite Image Dehazing Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:18:31.602916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T08:05:15.663815Z digest=sha256:4794a89e60020914a1f23b1b319170a1bcc5fd1caace2b45c4946326456f830a

Observation ff5963a0-27d7-489b-bb35-705d41c900c1 · inbound

Enhancing Layer Interaction Using Key-Correlated Layer Attention cites this paper.

Enhancing Layer Interaction Using Key-Correlated Layer Attention Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.445719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T01:09:43.669055Z digest=sha256:d826d58b7e24bb2c879e8e47e30da484ec3787719b2cd733f8bb6de6364e66a1