Paper Citation Record · LEDGER

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.15651.

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

pith.paper-citation-record.v1
2411.15651 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:12:44.625712Z

measured 25 of 25 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy20
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32b9da43-8aef-4f3e-94ae-ec15a1d17548 · outbound

This paper cites Improved monte-carlo search,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Improved monte-carlo search,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.153245Z

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.

Observation e6a0f6f7-7a71-492b-a01a-c04de413db05 · outbound

This paper cites Rapidly-exploring random trees: A new tool for path planning,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Rapidly-exploring random trees: A new tool for path planning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:44.502634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ef4d3d-3b61-433d-b291-3f67617e5333 · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Sampling-based algorithms for optimal motion planning,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:44.508279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee6e7f5-d4c8-4330-a979-084060434040 · outbound

This paper cites Rrtx: Asymptotically optimal single-query sampling-based motion planning with quick replanning,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Rrtx: Asymptotically optimal single-query sampling-based motion planning with quick replanning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.097619Z

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.

Observation 15f9a212-e5ea-4015-b315-6b71e0c159b3 · outbound

This paper cites Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.078402Z

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.

Observation fab9a523-7d23-40cc-ab52-c3a8f4ea94df · outbound

This paper cites Sparse methods for effi- cient asymptotically optimal kinodynamic planning,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Sparse methods for effi- cient asymptotically optimal kinodynamic planning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.056497Z

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.

Observation 6063d67f-75eb-4f20-ba03-47c893ed1571 · outbound

This paper cites Monte-carlo tree search for efficient visually guided rearrangement planning,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Monte-carlo tree search for efficient visually guided rearrangement planning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.032152Z

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.

Observation 636e2394-590f-464a-8b04-3531f51cbaa8 · outbound

This paper cites Neural tree expansion for multi-robot planning in non-cooperative environments,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Neural tree expansion for multi-robot planning in non-cooperative environments,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.008403Z

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.

Observation 077524a5-8a99-410f-8b4c-02c030be4317 · outbound

This paper cites Bayesian active sensing for fault estimation with belief space tree search,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Bayesian active sensing for fault estimation with belief space tree search,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.986444Z

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.

Observation 48bbd800-5b5d-42bb-932f-24db4f9923dc · outbound

This paper cites Cross-entropy motion planning,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Cross-entropy motion planning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.967005Z

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.

Observation 86046ad9-afaa-4ff6-a94c-789d9c047146 · outbound

This paper cites Aggressive driving with model predictive path integral control,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Aggressive driving with model predictive path integral control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.946179Z

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.

Observation 98d4758e-1ee8-4609-94d3-717998537e8a · outbound

This paper cites Real-time optimization and nonlinear model predic- tive control of processes governed by differential-algebraic equations,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Real-time optimization and nonlinear model predic- tive control of processes governed by differential-algebraic equations,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.926157Z

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.

Observation b231c0e6-00e3-43d2-8d1f-eb3975d26fb6 · outbound

This paper cites Receding-horizon planning using recursive monte carlo tree search with sparse action sampling for continuous state and action spaces,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Receding-horizon planning using recursive monte carlo tree search with sparse action sampling for continuous state and action spaces,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.909911Z

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.

Observation 3d2aef31-21d4-40db-baaa-3f65efee4424 · outbound

This paper cites Global planning for contact-rich manipulation via local smoothing of quasi-dynamic contact models,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Global planning for contact-rich manipulation via local smoothing of quasi-dynamic contact models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:44.563725Z

Source-reported events for the cited work

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Observation 4664bedf-7904-4534-9678-ed8b25e00a76 · outbound

This paper cites Linear time-varying MPC for nonprehensile object manipulation with a nonholonomic mobile robot,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Linear time-varying MPC for nonprehensile object manipulation with a nonholonomic mobile robot,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.875266Z

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.

Observation 5e8e2501-af06-463b-8a0d-2b4689050d5b · outbound

This paper cites A motion planning approach for nonprehensile manipulation and locomotion tasks of a legged robot,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search A motion planning approach for nonprehensile manipulation and locomotion tasks of a legged robot,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.852479Z

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.

Observation 4f3ac237-6546-4b23-b777-1356098d4395 · outbound

This paper cites Non-prehensile object transportation via model predictive non-sliding manipulation control,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Non-prehensile object transportation via model predictive non-sliding manipulation control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.833416Z

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.

Observation a21e53af-5566-4e25-ba96-12dc33423f5c · outbound

This paper cites Rear- rangement with nonprehensile manipulation using deep reinforcement learning,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Rear- rangement with nonprehensile manipulation using deep reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.813346Z

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.

Observation fb63e248-70de-4aa5-8c30-59410509e0c4 · outbound

This paper cites an unresolved cited work.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:12:44.793935Z

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.

Observation da5806c5-d338-4abf-b187-cf6ca28b2e71 · outbound

This paper cites an unresolved cited work.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:12:44.774401Z

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.

Observation a53da961-0284-439f-a751-8976eeaf2089 · outbound

This paper cites Safe active dynamics learning and control: A sequential exploration–exploitation framework,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Safe active dynamics learning and control: A sequential exploration–exploitation framework,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.755164Z

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.

Observation 45347517-3dfd-4f4a-a767-50d5288931ad · outbound

This paper cites Robust online motion planning via contraction theory and convex optimization,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Robust online motion planning via contraction theory and convex optimization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.736142Z

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.

Observation 98bf4be5-4a05-475d-b105-cb253005b295 · outbound

This paper cites Learning-based robust motion plan- ning with guaranteed stability: A contraction theory approach,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Learning-based robust motion plan- ning with guaranteed stability: A contraction theory approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.715770Z

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.

Observation 728939c3-131a-4aed-ae15-9c9776632dd0 · outbound

This paper cites Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.692012Z

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.

Observation 6e9cd2b5-493b-4e9a-8775-f71ea6b078be · outbound

This paper cites Existence condition on solutions to the algebraic riccati equation,.

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search Existence condition on solutions to the algebraic riccati equation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:44.670479Z

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.

Pith citing papers

No inbound Pith citation observations are available.