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Paper Citation Record · LEDGER

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.07414.

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

pith.paper-citation-record.v1
1903.07414 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:38:10.896832Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:11:05.721498Z

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 e5806052-3bbb-433b-a4c7-4b2c292f8c95 · inbound

Learning Optical Flow Field via Neural Ordinary Differential Equation cites this paper.

Learning Optical Flow Field via Neural Ordinary Differential Equation A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:11:05.729389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:11:05.505856Z digest=sha256:31cb842ff9f178d0a6430c4d96434f75fa3c1ba240556b8711db92040951ddf3

Observation 27a7b696-a7de-44f6-90e5-335ccff86eb5 · inbound

SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation cites this paper.

SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T10:38:10.896832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:38:10.896832Z digest=sha256:27d545121fc77c0a83915326188eb360ee33888d0854357b7b1daefcbeb14142