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Paper Citation Record · LEDGER

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.05786.

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

pith.paper-citation-record.v1
1809.05786 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T19:18:49.945978Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T19:21:09.786366Z

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 d3ffbbe7-03ca-4101-be54-884af9fa8b3a · inbound

SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks cites this paper.

SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-25T19:21:09.790545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T19:18:49.945978Z digest=sha256:7e0784c75b6c472262b6d9d479d757a0e70c41ec57776060731d307fc4c3ef37

Observation b01da4b6-7f76-49df-a030-ab5b5fd190ca · inbound

Scene Motion Decomposition for Learnable Visual Odometry cites this paper.

Scene Motion Decomposition for Learnable Visual Odometry GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-24T20:54:54.762266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T20:50:15.650479Z digest=sha256:13427f454bfff4d05197d677a190b8da9cdac4d303840ad58f537c499774da1b