Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-08T03:52:20.012210Z
Paper Citation Record · LEDGER
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles
As of 28 July 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.06499.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-28T06:31:03.373048+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
19 of 19 outbound references displayed
- verified exact1
- verified fuzzy18
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ccf343d2-427f-401a-92c8-1489afed4e7c · outbound
This paper cites Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:30.003714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 1c234e4d-f6f2-47da-b086-88f9066ad0de · outbound
This paper cites Sampling-based motion planning: A comparative review.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Sampling-based motion planning: A comparative review
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.972465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 5d412dff-57a6-441c-be3e-20ee606c63be · outbound
This paper cites Information-theoretic model predictive control: Theory and applica- tions to autonomous driving.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Information-theoretic model predictive control: Theory and applica- tions to autonomous driving
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.967337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 974ae763-58bf-4b8c-866f-10cccdc0b5d0 · outbound
This paper cites Review on model predictive control: An engineering perspective,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Review on model predictive control: An engineering perspective,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.981619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 2693d855-60be-49dd-ab0b-b0b66989fd13 · outbound
This paper cites Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.993444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 69af1bab-4439-403b-9dfa-14ad387855a8 · outbound
This paper cites Deep reinforcement learning for robotics: A survey of real-world successes,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Deep reinforcement learning for robotics: A survey of real-world successes,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.979633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation f0a95c4d-0e21-4d1a-9645-0a80f43795fd · outbound
This paper cites Gpu-enabled parallel trajectory optimization framework for safe motion planning of autonomous vehicles,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Gpu-enabled parallel trajectory optimization framework for safe motion planning of autonomous vehicles,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.987122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 711588e4-d114-4408-bf8f-8fbe0c110dff · outbound
This paper cites Sampling-based con- strained motion planning with products of experts,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Sampling-based con- strained motion planning with products of experts,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.999334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation baaa7679-1411-4853-9212-9d4c19f4e2e3 · outbound
This paper cites Csc-mppi: A novel constrained mppi framework with dbscan for reliable obstacle avoidance,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Csc-mppi: A novel constrained mppi framework with dbscan for reliable obstacle avoidance,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.965024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 1c0aac42-4abb-4443-98b6-f155e9b5312e · outbound
This paper cites Dbscan clustering algorithm based on density,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Dbscan clustering algorithm based on density,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.983938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 3d4c840d-502e-41e4-9fbb-4419ec838bd3 · outbound
This paper cites Jax: composable transformations of python+ numpy programs,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Jax: composable transformations of python+ numpy programs,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.991295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation b1799ae7-e445-40fe-a03f-2f1a5503b59b · outbound
This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T03:54:29.961526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation b8aa7698-1bb6-45d3-936e-a2bfd71668f2 · outbound
This paper cites Ramp: Hierarchical reactive motion planning for manipulation tasks using implicit signed distance functions,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Ramp: Hierarchical reactive motion planning for manipulation tasks using implicit signed distance functions,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.997320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 3b4de632-6abf-4981-aca3-71bd4c8cc71d · outbound
This paper cites Parallel mppi with gradient-velocity modulated sdf cost for high-performance real-time dynamic obstacle avoidance by robot manipulators,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Parallel mppi with gradient-velocity modulated sdf cost for high-performance real-time dynamic obstacle avoidance by robot manipulators,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.977242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 0c712205-bb60-47c4-9470-2d8fe802e325 · outbound
This paper cites Pa-mppi: Perception-aware model predictive path integral control for quadrotor navigation in unknown environments,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Pa-mppi: Perception-aware model predictive path integral control for quadrotor navigation in unknown environments,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:30.001782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 5a5571fb-822e-46e7-8ff1-1c6b30308030 · outbound
This paper cites Real-time whole-body control of legged robots with model- predictive path integral control.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Real-time whole-body control of legged robots with model- predictive path integral control
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.974786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 2530c5c7-af35-443e-9494-33e48e5ce70e · outbound
This paper cites Single-instance sampling for computationally efficient and accurate real-time task space mppi control,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Single-instance sampling for computationally efficient and accurate real-time task space mppi control,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.989293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 76973dd2-e21b-4c4c-8c5c-69d1e540c134 · outbound
This paper cites Output-sampled model predictive path integral control (o-mppi) for increased efficiency,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Output-sampled model predictive path integral control (o-mppi) for increased efficiency,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.995514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation fa6c9225-4c4f-4727-b82a-9c800558083b · outbound
This paper cites Switching sampling space of model predictive path-integral controller to balance efficiency and safety in 4wids vehicle navigation,.
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles Switching sampling space of model predictive path-integral controller to balance efficiency and safety in 4wids vehicle navigation,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T03:54:29.970023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Pith citing papers
No inbound Pith citation observations are available.