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Paper Citation Record · LEDGER

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.03893.

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

pith.paper-citation-record.v1
1803.03893 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:03:36.382365Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:10:23.441696Z

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 a8383fa3-bdd9-4ca3-a2cb-ca411c1d48c2 · inbound

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction cites this paper.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:36.382365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:36.382365Z digest=sha256:676e663cf9ad2de64e65ec27f5263e79efb28ce011e0e78a137dad8c91822647

Observation 2d7c5c87-1d2e-49bb-a775-4704ed4265a5 · inbound

Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation cites this paper.

Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:10:23.449754Z

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=2026-08-14T13:10:23.390022Z digest=sha256:4c4d4434c495c3be8529d731078bbe061922265fbb21e20d7893c3ce529be613