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Paper Citation Record · LEDGER

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.10780.

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

pith.paper-citation-record.v1
2209.10780 v2

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 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:07.165462Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:56:27.791118Z

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 66b2747e-e5ca-4a9e-abce-ed185ce6e096 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

Reference 222

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:07.165462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:07.165462Z digest=sha256:0c5ed094bd95549450455c4547a20b7fffd5b905b5e43565e787e3f2de63d540

Observation ec65b016-a4f1-4667-aed6-2febe8067d08 · inbound

Bio-Inspired Hybrid Map: Spatial Implicit Local Frames and Topological Map for Mobile Cobot Navigation cites this paper.

Bio-Inspired Hybrid Map: Spatial Implicit Local Frames and Topological Map for Mobile Cobot Navigation Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:48:48.530356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:48.530356Z digest=sha256:e1280abde80508d09984deb0c3cb165f7203ed326ed24dbd75977a4fc5fed7af

Observation 81be548f-1b20-4c40-8749-6286a836e443 · inbound

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC cites this paper.

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:56:27.794104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T08:43:35.563513Z digest=sha256:c38dd5997d73dd06fb9d945afb10f2ebb91aba662751342c8cddcf2dceed258f

Observation 139f6366-55ca-460f-8c72-8894081ce383 · inbound

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations cites this paper.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T03:31:04.614079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T03:31:04.614079Z digest=sha256:ccd6818aab56add86fc1b459b646aebfa20daca4f5688ba3021a34b320638c58