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Paper Citation Record · LEDGER

Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.06020.

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

pith.paper-citation-record.v1
1705.06020 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T20:22:49.120504Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T20:24:53.049110Z

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 52582f8c-2207-424a-b67b-74634ecb893a · inbound

Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes cites this paper.

Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-24T20:24:53.055343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T20:22:49.120504Z digest=sha256:fb83489a8b69c1a6b4496481d476731fbf902d05395f51f3d45c3f9ffde1a50b

Observation 9bedef87-fc49-453f-859a-46b7e69cc23c · inbound

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping cites this paper.

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:13:01.135459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T17:11:52.457688Z digest=sha256:683f08aab77613e4c58f20580cf2a8aefe1e3cf108c456ad0eca1760ed47d997