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Paper Citation Record · LEDGER

Deep Convolutional Compressed Sensing for LiDAR Depth Completion

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.08949.

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

pith.paper-citation-record.v1
1803.08949 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:19:25.484970Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:13:46.099432Z

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 7a036ce7-1552-4987-921f-c5d9c971081d · inbound

Image-Guided Depth Sampling and Reconstruction cites this paper.

Image-Guided Depth Sampling and Reconstruction Deep Convolutional Compressed Sensing for LiDAR Depth Completion

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T15:19:25.484970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:19:25.484970Z digest=sha256:65004d3ab776e365d0bdf698948870d221101eb03790ab65a3df51c6514114b6

Observation 3be27df2-db3b-4947-8cc0-9f83f608698d · inbound

To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation cites this paper.

To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation Deep Convolutional Compressed Sensing for LiDAR Depth Completion

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:13:46.102794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:13:45.828066Z digest=sha256:8654d5debdcb0b91350efd0fe7e282ab6e6a1a5f75ed9480fb306b7847e219e2