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Paper Citation Record · LEDGER

Deep learning in motion deblurring: current status, benchmarks and future prospects

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.05055.

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

pith.paper-citation-record.v1
2401.05055 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:40:58.497182Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:36:24.872638Z

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 7b851eed-60b4-452a-8a2a-9dcac303ba9b · inbound

DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting cites this paper.

DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting Deep learning in motion deblurring: current status, benchmarks and future prospects

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:58.497182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:40:58.497182Z digest=sha256:f4de3cbc0f59e0efffb5d6dcc4f6bce4beb0ade958aa24e364a29476191d6206

Observation 4626eabc-b54a-4074-915d-cfa99eaab80b · inbound

Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes cites this paper.

Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes Deep learning in motion deblurring: current status, benchmarks and future prospects

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:24.875245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T00:57:47.713600Z digest=sha256:574220c90e3bd6e2104928119746525548cf8317679e35fbd0b3dc8739a08e94