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Paper Citation Record · LEDGER

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.10152.

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

pith.paper-citation-record.v1
2002.10152 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:19:53.895750Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:17:33.710959Z

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 f93f2fea-b44d-46b4-b0d9-0128da0eba5b · inbound

INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators cites this paper.

INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-24T11:06:08.692086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-24T11:04:21.260310Z digest=sha256:bfb843328037c3a867905f307c89c2bd138d67dbe968acb57c84132d31e92f6c

Observation 5562bfdb-d202-452c-ad56-5162aee28cb4 · inbound

Virtual-point-based Solutions to Handle Generalized Absolute Pose Problem cites this paper.

Virtual-point-based Solutions to Handle Generalized Absolute Pose Problem Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:47:30.187725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T17:03:25.328418Z digest=sha256:1385deec7b03d1b357c33c84c7c86528e23ca4396c2f52016eedd5f9e79fd3a7

Observation 7b014e7a-e7eb-49f8-a28a-7ab7d186614b · inbound

WildCity: A Real-World City-Scale Testbed for Rendering, Simulation, and Spatial Intelligence cites this paper.

WildCity: A Real-World City-Scale Testbed for Rendering, Simulation, and Spatial Intelligence Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T20:17:33.712512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-10T20:16:36.454859Z digest=sha256:ff177b3dbc578830382ef1a861ba48da8bdb3725bb1275d6639c4e0f41314a3b

Observation edbe31d0-27f8-44e4-ac8c-29383d6d9ba2 · inbound

Topometric Autonomous Vehicle Localization by Combining Visual Embeddings and Feed-Forward 3D Models cites this paper.

Topometric Autonomous Vehicle Localization by Combining Visual Embeddings and Feed-Forward 3D Models Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:53.895750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:19:53.895750Z digest=sha256:043677974c3c25e3bb540deca0997aa52d1f340135a1824352eeb1c1def96498