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Paper Citation Record · LEDGER

Cautious Model Predictive Control using Gaussian Process Regression

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1705.10702.

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

pith.paper-citation-record.v1
1705.10702 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:17:18.512550Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T14:50:57.078526Z

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 8d49529a-1584-43dd-8db5-c1791e8a434f · inbound

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning cites this paper.

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning Cautious Model Predictive Control using Gaussian Process Regression

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-04T19:10:40.792324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T14:49:23.906632Z digest=sha256:f4d03f2bb587cb1eabda04f062040e567a7dd3f2c710932b1af1d5487c2f1239

Observation 2ed8ed5a-6705-452b-a36a-f47c2b5a4456 · inbound

Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation cites this paper.

Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation Cautious Model Predictive Control using Gaussian Process Regression

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-06-04T19:10:40.792324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T09:33:04.674006Z digest=sha256:e199497cc1d08d46bf2f9485a678b49b9887d41d2b7189897ba00642fb6f51b3

Observation d04f530d-b453-4c49-88c6-1d7bfc9cfd31 · inbound

Diffusion-Residual Model Predictive Steering Control for Vehicle Stabilization at the Limit of Handling under Model Uncertainty cites this paper.

Diffusion-Residual Model Predictive Steering Control for Vehicle Stabilization at the Limit of Handling under Model Uncertainty Cautious Model Predictive Control using Gaussian Process Regression

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T13:17:18.512550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:17:18.512550Z digest=sha256:c33e9a8691ffaaa5a5b52e4c1255b61de22c7320a0b520ad1c6a5cee49da8f57