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Paper Citation Record · LEDGER

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics

As of 23 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2507.04949.

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

pith.paper-citation-record.v1
2507.04949 v3

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:53.004852Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

71 of 71 outbound references displayed

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  • verified fuzzy57
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 444d83eb-aa8e-4b86-9f1e-65e1873f8300 · outbound

This paper cites Thinking fast and slow with deep learning and tree search.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Thinking fast and slow with deep learning and tree search

Reference 1

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Source-reported events for the cited work

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Observation c0bd8eb3-85d9-4c97-b227-40fee19e02d1 · outbound

This paper cites A survey of monte carlo tree search methods.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics A survey of monte carlo tree search methods

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e6335dbb-b946-4391-8942-50cb43e22c73 · outbound

This paper cites Parallel monte-carlo tree search.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Parallel monte-carlo tree search

Reference 3

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5d2eb40f-af31-46a0-a3a4-a03b7a05464f · outbound

This paper cites Enhancing dexterity in robotic manipulation via hierarchical contact exploration.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Enhancing dexterity in robotic manipulation via hierarchical contact exploration

Reference 4

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Source-reported events for the cited work

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Observation b0898927-a243-40bd-b647-2b544d5bcb1b · outbound

This paper cites Principles of robot motion: theory, algorithms, and implementations.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Principles of robot motion: theory, algorithms, and implementations

Reference 5

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Source-reported events for the cited work

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Observation 8397133e-6c20-4b40-a379-d6754fda1c81 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 4fdcef96-609b-4c58-936e-cb153a1386c7 · outbound

This paper cites Efficient selectivity and backup operators in monte-carlo tree search.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Efficient selectivity and backup operators in monte-carlo tree search

Reference 7

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8f865e00-0fcc-48c0-9356-66020df1af2a · outbound

This paper cites Computing large convex regions of obstacle-free space through semidefinite programming.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Computing large convex regions of obstacle-free space through semidefinite programming

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c30caced-c24b-42f1-b5be-ddbfc87fc7c6 · outbound

This paper cites Data-driven tensor train gradient cross approximation for hamilton--jacobi--bellman equations.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Data-driven tensor train gradient cross approximation for hamilton--jacobi--bellman equations

Reference 9

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verified fuzzy
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Source-reported events for the cited work

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Observation c5f8f942-fa35-4647-88dc-552f5a95516c · outbound

This paper cites Fast solution of parabolic problems in the tensor train/quantized tensor train format with initial application to the fokker--planck equation.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Fast solution of parabolic problems in the tensor train/quantized tensor train format with initial application to the fokker--planck equation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 63f7716f-29e1-44ad-99ca-51557ca73b4a · outbound

This paper cites Hybrid differential dynamic programming for planar manipulation primitives.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Hybrid differential dynamic programming for planar manipulation primitives

Reference 11

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Source-reported events for the cited work

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Observation fae472bb-e909-4c96-b518-6715d5aca12b · outbound

This paper cites Colloquium: Area laws for the entanglement entropy.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Colloquium: Area laws for the entanglement entropy

Reference 12

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d91d140-d004-41f4-90f2-78dc7246a46b · outbound

This paper cites Batch informed trees (bit*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Batch informed trees (bit*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a52b14b2-df2e-4ed4-8fb9-5e0755657165 · outbound

This paper cites Integrated task and motion planning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Integrated task and motion planning

Reference 14

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f41d2d93-3bb6-46dc-b062-096ddbfed6b4 · outbound

This paper cites Path planning and trajectory planning algorithms: A general overview.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Path planning and trajectory planning algorithms: A general overview

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6746b3e4-b7a7-4c1c-8142-955d610465fc · outbound

This paper cites A complete generalized solution to the inverse kinematics of robots.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics A complete generalized solution to the inverse kinematics of robots

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a7eba938-a720-4ff9-a373-d58161559508 · outbound

This paper cites Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (cma-es).

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (cma-es)

Reference 17

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Source-reported events for the cited work

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Observation dd3123a1-ffe9-4b9e-b420-b8b3bbd69eca · outbound

This paper cites explanatory.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics explanatory

Reference 18

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Source-reported events for the cited work

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Observation 9977156f-c53e-4d11-81a4-42547babb8d9 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics A formal basis for the heuristic determination of minimum cost paths

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e50476f2-1518-47a9-b845-f9602b7c6637 · outbound

This paper cites Robust planning for multi-stage forceful manipulation.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Robust planning for multi-stage forceful manipulation

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f8dc4bf6-d345-4528-8292-f75029e1e7dd · outbound

This paper cites Vp-sto: Via-point-based stochastic trajectory optimization for reactive robot behavior.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Vp-sto: Via-point-based stochastic trajectory optimization for reactive robot behavior

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d03c1bc5-cd81-4adb-b464-00aa4c93bf8a · outbound

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

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Sampling-based algorithms for optimal motion planning

Reference 22

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e3ed3a46-ee3c-4281-b2f7-6dcf7739323c · outbound

This paper cites Probabilistic roadmaps for path planning in high-dimensional configuration spaces.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Probabilistic roadmaps for path planning in high-dimensional configuration spaces

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation df774bc6-f2a4-402d-8f73-cf88b7be3ff4 · outbound

This paper cites Monte carlo tree search in continuous spaces using voronoi optimistic optimization with regret bounds.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Monte carlo tree search in continuous spaces using voronoi optimistic optimization with regret bounds

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7d7d5969-30ff-431f-b2ce-e9c84c9670ba · outbound

This paper cites Planning algorithms.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Planning algorithms

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21126900-dfdd-4827-8a0d-5a73a1ebecf8 · outbound

This paper cites Memory of motion for warm-starting trajectory optimization.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Memory of motion for warm-starting trajectory optimization

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9da2cb0c-67f5-4c10-acc0-9cc9a90d62c9 · outbound

This paper cites Iterative linear quadratic regulator design for nonlinear biological movement systems.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Iterative linear quadratic regulator design for nonlinear biological movement systems

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8c207c0f-1526-403c-8c8b-5c5345a5dcc2 · outbound

This paper cites Gpu-accelerated robotic simulation for distributed reinforcement learning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Gpu-accelerated robotic simulation for distributed reinforcement learning

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites Undecidability and hardness in mixed-integer nonlinear programming.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Undecidability and hardness in mixed-integer nonlinear programming

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f2437f47-4fab-4abc-93c6-e065cda4b64a · outbound

This paper cites Sampling-based path planning for uav collision avoidance.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Sampling-based path planning for uav collision avoidance

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e91c4eae-48b7-43ba-8939-b1715590e248 · outbound

This paper cites Convex optimization for trajectory generation: A tutorial on generating dynamically feasible trajectories reliably and efficiently.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Convex optimization for trajectory generation: A tutorial on generating dynamically feasible trajectories reliably and efficiently

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0b198df1-633a-443d-a31a-0aba40c52da8 · outbound

This paper cites Motion planning around obstacles with convex optimization.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Motion planning around obstacles with convex optimization

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d47eb76b-4259-439c-b6eb-0e9774966248 · outbound

This paper cites Shortest paths in graphs of convex sets.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Shortest paths in graphs of convex sets

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0ee03a66-bada-441c-bd53-140925b79e42 · outbound

This paper cites Mechanics and planning of manipulator pushing operations.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Mechanics and planning of manipulator pushing operations

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:49.296731Z digest=sha256:537dd3cc39901bf32d4476d52a5e9cd090d9a71b5caf005f23e34b6c07abc97a

Observation 677acdfb-86fc-4968-8ed7-94f6da1349e7 · outbound

This paper cites Progress in nonprehensile manipulation.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Progress in nonprehensile manipulation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.927085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:49.403760Z digest=sha256:d5711b8e6993786a636d71e6637c59bfcf9702e751b2527a00b7b96322ea7647

Observation 2e43d56d-7542-4003-8ab9-34903fce303e · outbound

This paper cites A second-order gradient method for determining optimal trajectories of non-linear discrete-time systems.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics A second-order gradient method for determining optimal trajectories of non-linear discrete-time systems

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.904629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:49.484536Z digest=sha256:b9d46b3dd8d7de4c6f8d4962feed42b809523182780ebce5c3cd0cfbd23f9d30

Observation 0bb8c40a-95b8-49a9-bcf4-d77717c1aacf · outbound

This paper cites Non-prehensile planar manipulation via trajectory optimization with complementarity constraints.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Non-prehensile planar manipulation via trajectory optimization with complementarity constraints

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.879469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:49.622208Z digest=sha256:2516bf820c37594d4335a9f9ca7abeab82a704676794538dca0aff2d9acf6b33

Observation 852dee1c-5bc6-4874-9e22-db4efc8a6355 · outbound

This paper cites Continuous-time gaussian process motion planning via probabilistic inference.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Continuous-time gaussian process motion planning via probabilistic inference

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.850438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:49.729499Z digest=sha256:d133f68846b7785908d50d94afcbcf5e77503394aeefa1e54506c8084a648f05

Observation 61eced6f-548f-4bf7-9aa3-974401991170 · outbound

This paper cites Interleaving graph search and trajectory optimization for aggressive quadrotor flight.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Interleaving graph search and trajectory optimization for aggressive quadrotor flight

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.822721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:49.985061Z digest=sha256:9893cecccf2b5f8c09b98fa182575a9c4aecc631ab9fc62f1e882ba4c30c766d

Observation 567ad6b7-ede2-4d32-8e18-57c5aca90e4f · outbound

This paper cites Tensor-train density estimation.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Tensor-train density estimation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.794441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:50.373590Z digest=sha256:db91bd651aff055d3f58328a18a47aae7b4aaef1d7470640aa6616daa72472ab

Observation c99b297b-4381-4ca4-b8a0-aba575277ef9 · outbound

This paper cites TT -cross approximation for multidimensional arrays.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics TT -cross approximation for multidimensional arrays

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.764440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:50.732606Z digest=sha256:3312b2c490aa0a995ba8a7466bd34a9c9bc7486a65a779c055b2a66ed4a6a9ec

Observation 3c5df851-795e-4f26-8a4b-5c3c184b6412 · outbound

This paper cites Tensor-train decomposition.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Tensor-train decomposition

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:51.548410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:51.548410Z digest=sha256:5d9f1510aed7fb956ccfa379ec98c6badc4031d2e46a48d691ada06d72af5eb3

Observation 98e8f8a3-47cf-4fc3-95b8-b6c8ecfd659e · outbound

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

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Global planning for contact-rich manipulation via local smoothing of quasi-dynamic contact models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.710061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.199781Z digest=sha256:29ed2349319900dc971436fa2b7f46e7a4136945ea9f61bf6580493edb57ccd5

Observation 455e4f63-0725-4298-8162-3e19ff4d1846 · outbound

This paper cites A direct method for trajectory optimization of rigid bodies through contact.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics A direct method for trajectory optimization of rigid bodies through contact

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.674116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.361588Z digest=sha256:1eece589b1ea7cec2694ad78358797e8c57b44c51218bd081581042aa721ff77

Observation 1dd665c7-54b7-49b3-b9c1-6df8030fc84d · outbound

This paper cites Chomp: Gradient optimization techniques for efficient motion planning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Chomp: Gradient optimization techniques for efficient motion planning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.645233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.399666Z digest=sha256:504105d880e11104c22bd84e6959f24bd95a69d37530b87daa09b300b8fc1ae4

Observation 3907921b-bdb8-4b56-ac5f-c3f350288dc3 · outbound

This paper cites Monte carlo tree search with spectral expansion for planning with dynamical systems.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Monte carlo tree search with spectral expansion for planning with dynamical systems

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.621801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.459320Z digest=sha256:770a5e92854b41fc98392d69664c01345f3593f7ca954d96dd9a741601b8bf13

Observation c80605fc-c556-4eba-bfd5-73ef270fdf5f · outbound

This paper cites From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:52.534958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:52.534958Z digest=sha256:037d8b6268163dea78c807f12844510882ddcc9f21299baef5952426ddf36c36

Observation e681a534-3089-4517-bb83-21d088f48f1d · outbound

This paper cites Asymptotically near-optimal rrt for fast, high-quality motion planning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Asymptotically near-optimal rrt for fast, high-quality motion planning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.601401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.595996Z digest=sha256:a77701f770121925023dfca59e253f34b518f5e98bc1fb0048e641ab503ac23f

Observation 9976f289-e528-47d0-9548-66fa7993ed98 · outbound

This paper cites Savostyanov and Ivan V.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Savostyanov and Ivan V

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.577609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.655136Z digest=sha256:def2897917b044ec04f825d67913241830356376b5fc78dbc91dc150f3876d87

Observation 93ee8cad-53e3-4cf8-8110-9e60cdadd384 · outbound

This paper cites Motion planning with sequential convex optimization and convex collision checking.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Motion planning with sequential convex optimization and convex collision checking

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.557638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.710495Z digest=sha256:a223da0b0e0fb41603c8d4221c280bbeb14cd369bd28de552d8f833fb0c5cffc

Observation e6b81520-c10a-454f-8e83-c8989b6ab1c9 · outbound

This paper cites Tensor train for global optimization problems in robotics.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Tensor train for global optimization problems in robotics

Reference 51

Resolution
verified exact
doi, observed 2026-08-06T19:45:53.065458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.744206Z digest=sha256:ba7c0059683bb22f6505d930e842492a5b42332f932c072e4a465de5ceb2d9b0

Observation d7246450-7f9a-4745-830c-fe41ff50ac68 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Mastering the game of go with deep neural networks and tree search

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:52.780348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:52.780348Z digest=sha256:9bfb4db851914ca31a81d0577766756ee42130d50242e22c0f0b68050206e97a

Observation e99de5c3-0f32-4c3b-995e-cd69aff02380 · outbound

This paper cites Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.521727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.874880Z digest=sha256:5124c1ad09c68f02ba4db479ea16b3886e55f82a25d7cec692eb89264f9af26f

Observation ab347a5d-a6a9-4602-b353-aed27b55417b · outbound

This paper cites Ttopt: A maximum volume quantized tensor train-based optimization and its application to reinforcement learning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Ttopt: A maximum volume quantized tensor train-based optimization and its application to reinforcement learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.497383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.905149Z digest=sha256:99ecac002c1074001170a17742e6a15ff65617828b4d62707ecf961bfae36129

Observation 1c788579-c642-4077-8c67-52270d48376e · outbound

This paper cites Riemannian optimization for high-dimensional tensor completion.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Riemannian optimization for high-dimensional tensor completion

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.477871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.911743Z digest=sha256:999e52ab4f10c3bea244893c2b00f5b0c909e6ba1e6f9423936a38d1e9a3c9bf

Observation 2390ca0e-8b2d-482a-973b-871e8fba096f · outbound

This paper cites Synthesis and stabilization of complex behaviors through online trajectory optimization.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Synthesis and stabilization of complex behaviors through online trajectory optimization

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.460359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.917239Z digest=sha256:13c76b9bbb0adb4c9de85f36630e70219e420d4bc03a14ee6430e598ceb12389

Observation 5ad60f28-7548-4c42-9dc6-a0205ff381c0 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Mujoco: A physics engine for model-based control

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.436107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.923295Z digest=sha256:f84e98fc0a8d14c0a6fcd4d17f4ebe10314ca85023e9204942eaa9cc48ef494a

Observation b4ca6d8d-aa6b-4bf5-b68b-cf5647a62d87 · outbound

This paper cites Logic-geometric programming: an optimization-based approach to combined task and motion planning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Logic-geometric programming: an optimization-based approach to combined task and motion planning

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.411091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.930720Z digest=sha256:ed694d1b04fe9c07b7b2561f4117970dc7905ed9751c2ddc6faf9e6152c8ed7f

Observation 07f787ee-63d4-4956-b0b2-313452ff8037 · outbound

This paper cites Implications of factor analysis of three-way matrices for measurement of change.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Implications of factor analysis of three-way matrices for measurement of change

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.388894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.936033Z digest=sha256:17e74b0688f9554b952d20db450f9dbbb8d655e3d7cc13e0cda584e32c3576ac

Observation be1a605a-e685-494c-be96-62e5b2edea82 · outbound

This paper cites Constrained trajectory optimization for planetary entry via sequential convex programming.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Constrained trajectory optimization for planetary entry via sequential convex programming

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.365680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.941945Z digest=sha256:2c3fec75e764a97b7c2b66ee032ecf1e81f0c21f8ed865380f13870f6493b318

Observation b121474e-198d-42b6-a271-f33269c75489 · outbound

This paper cites Demonstration-guided optimal control for long-term non-prehensile planar manipulation.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Demonstration-guided optimal control for long-term non-prehensile planar manipulation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.347787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.948395Z digest=sha256:80d73e8f1216f9e74f7af4cc90827630c5d21165baa7a9fdee082dcda06e4f20

Observation f4515951-4867-4530-a850-22ab93e1c73a · outbound

This paper cites D-LGP : Dynamic logic-geometric program for reactive task and motion planning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics D-LGP : Dynamic logic-geometric program for reactive task and motion planning

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.326985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.954127Z digest=sha256:b76d0c91ca9fb8e3b063bd477e1396d0b35a5e3f0a0ecd45d8d0692f74b0249e

Observation cca311ae-c831-4839-866f-54e630912395 · outbound

This paper cites Robust manipulation primitive learning via domain contraction.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Robust manipulation primitive learning via domain contraction

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.300898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.960368Z digest=sha256:a5dc6dcb79dfe14248610c6671a85f69dd56a72dd3d3ef6c49dd21cee7f2d1ce

Observation 380eaeab-ae3a-4066-a289-ae378eea7268 · outbound

This paper cites Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.283297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.965822Z digest=sha256:95cd3dc56063160661f0e8933e16ef4310ff6927b9a1c7067c0a19de8aabe0c1

Observation 98369e7e-b182-4cff-9b9d-512e66d3c2ab · outbound

This paper cites Robust contact-rich manipulation through implicit motor adaptation.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Robust contact-rich manipulation through implicit motor adaptation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.264286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.971578Z digest=sha256:e0be97af35cd3ee1140cc0030536822c9cccbb2456c66f0f6c9f2db99ad2f920

Observation ff622f17-a190-4272-8a13-a3228c33b97f · outbound

This paper cites Genesis: A generative and universal physics engine for robotics and beyond, December 2024.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Genesis: A generative and universal physics engine for robotics and beyond, December 2024

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.227882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.978057Z digest=sha256:e24a88f8ce567566de931eae682de14b9058f535cdd0deb458d96550dc07960e

Observation 21fab52e-6663-46ee-a367-70b01bf90f7e · outbound

This paper cites Efficient object manipulation planning with monte carlo tree search.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics Efficient object manipulation planning with monte carlo tree search

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.205779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T19:45:52.983544Z digest=sha256:d694a6f09ff41074e98976b768afdac420316a43f2b4cb9fa5cdda82da772fe2

Observation 3d56b49a-193d-4454-9f06-1430fa7ff85f · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics , " * write output.state after.block = add.period write newline

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:52.988424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:52.988424Z digest=sha256:74f0adba3ac1f415362c72ad1676dc5fdc70a1bf5500976a097e78d36341b21e

Observation b90ff0b4-519a-4dee-b2b3-c1035e9b336d · outbound

This paper cites write newline.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics write newline

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:52.993501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:52.993501Z digest=sha256:eded07c32bc4e4dea5ab3b749a38f3d3faf603767e59868e4bb35d972216a023

Observation 2828f68b-c504-4366-9145-dace81f13101 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics , " * write output.state after.block = add.period write newline

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:52.999185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:52.999185Z digest=sha256:5accff84e47fbcb606d74e976b615ea5f378aeb6323a16d57ab50ad8cba37bd1

Observation fcbc2be0-8938-4e52-87cf-e13afb1a967e · outbound

This paper cites write newline.

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics write newline

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:53.004852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:53.004852Z digest=sha256:9b9010013892d8160949d527e6d268454c05411a0093c132ac5cebb353363c94

Pith citing papers

No inbound Pith citation observations are available.