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Paper Citation Record · LEDGER

Model Tensor Planning

As of 17 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.01059.

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

pith.paper-citation-record.v1
2505.01059 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:26.941807Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:59:53.079090Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:59:53.362326Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db723f84-6fc8-4c22-99c8-47d74c841c67 · outbound

This paper cites A method of bivariate interpolation and smooth surface fitting based on local procedures.

Model Tensor Planning A method of bivariate interpolation and smooth surface fitting based on local procedures

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.678564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.695414Z digest=sha256:ce25f46025bd134ccdac07532be88e2f8ad36ab2c57e8eba327e879197569129

Observation f51b01a5-4ab7-4c58-8369-44e2a68b12b5 · outbound

This paper cites Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control.

Model Tensor Planning Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control

Reference 2

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no resolver link, observed 2026-08-16T04:35:26.701619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.701619Z digest=sha256:72cd2754e1144dd032e21c82ed1988d36b25d721786112bcfa6a31a0a94ab49b

Observation 4080a07c-4811-418d-8b2d-41d1925a37e0 · outbound

This paper cites Learning dexterous in-hand manipulation.

Model Tensor Planning Learning dexterous in-hand manipulation

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.707643Z digest=sha256:5677e8f660beb01920b10773097c5b0ae41b7805e1342fb4b65014a97af4fdf5

Observation 7f49d56e-5c29-4f47-9d24-050cb0293cb3 · outbound

This paper cites Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation.

Model Tensor Planning Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.658171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.714332Z digest=sha256:c943ceb36fda8137c5fb781bfaac3888b12a9cba7bbc025450df4c85a01501ba

Observation af0d06c1-1fa6-4121-a6b9-66bd76e31b6b · outbound

This paper cites Massively parallelizing the rrt and the rrt.

Model Tensor Planning Massively parallelizing the rrt and the rrt

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.644687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.721285Z digest=sha256:fd0ff235c216ab22037e59f43a8272a30747381ed1f777adef55809f455ded57

Observation c89d6b18-81f0-450d-9942-89ff3531f7c2 · outbound

This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Model Tensor Planning JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 6

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raw_fallback, observed 2026-08-16T04:35:27.631623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.727545Z digest=sha256:2ef4e74cfacef95c225c206c439fa4ca6d6d694507fc37d2759fb9a38880117f

Observation a2e06d01-a228-41c5-86a8-f7c967743e95 · outbound

This paper cites Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models.

Model Tensor Planning Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

Reference 7

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no resolver link, observed 2026-08-16T04:35:26.733268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.733268Z digest=sha256:44cf9a9c5b5f13dbd7bc6e40e4eb332f738469f875e9410799bee05d4903e610

Observation 4ddee45c-b72c-48a5-81a4-e96b98efe53d · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models.

Model Tensor Planning Motion planning diffusion: Learning and planning of robot motions with diffusion models

Reference 8

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no resolver link, observed 2026-08-16T04:35:26.739260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.739260Z digest=sha256:3b72ed56a904cfd6c38da360ce03c3f93a95be584fa256238bc2953c133c5da9

Observation 8173d9e9-cf51-4864-8a2b-2e79e0b46991 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Model Tensor Planning Diffusion policy: Visuomotor policy learning via action diffusion

Reference 9

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no resolver link, observed 2026-08-16T04:35:26.743682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.743682Z digest=sha256:58818633dff63d0dff152b47e1ffbd748e45ca0d12814ca893aba920456ab56b

Observation 7238b0e5-45e3-4447-a86b-f80eba092be8 · outbound

This paper cites A tutorial on the cross-entropy method.

Model Tensor Planning A tutorial on the cross-entropy method

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.603249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.750632Z digest=sha256:0a0420d65426de08dfd151eb5854d7738d46b0cd988f3f05666ddb5888f6fab4

Observation fa1e4b72-ebe8-40ad-921f-51b0104683aa · outbound

This paper cites Package for calculating with b-splines.

Model Tensor Planning Package for calculating with b-splines

Reference 11

Resolution
verified exact
doi, observed 2026-08-16T04:35:26.977801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.756599Z digest=sha256:38bd2555a8d928b19678e53d9f952f1a9dfbd6dd9b3fdaaa343798819f9db523

Observation 1af1b952-8ce5-4594-a9ba-6dbbed71e944 · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Model Tensor Planning The CMA Evolution Strategy: A Tutorial

Reference 12

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no resolver link, observed 2026-08-16T04:35:26.761508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.761508Z digest=sha256:93dce630efdffed03050c6b889ded319191d30ad98be485872432d548d5d71f7

Observation d172849a-c989-467a-bf3c-e3dc4401e66a · outbound

This paper cites Denoising diffusion probabilistic models.

Model Tensor Planning Denoising diffusion probabilistic models

Reference 13

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no resolver link, observed 2026-08-16T04:35:26.767176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.767176Z digest=sha256:31c6f1d54551fdab76de4dc690c8ccfd26d658e143d0f5e799e104551835eed5

Observation d9021ec0-f17a-4d74-923c-c041af70f076 · outbound

This paper cites Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo.

Model Tensor Planning Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.771805Z digest=sha256:9a4c86aa3aefeb63c0e2925ff81edba3c4e3611a8cc1e32f5adf8f91d3bbd774

Observation 3f27b575-5868-4aff-b275-dc7b58c7474a · outbound

This paper cites prrtc: Gpu-parallel rrt-connect for fast, consistent, and low-cost motion planning.

Model Tensor Planning prrtc: Gpu-parallel rrt-connect for fast, consistent, and low-cost motion planning

Reference 15

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no resolver link, observed 2026-08-16T04:35:26.776664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.776664Z digest=sha256:7bc9ebb62caf79d4ac0a3427787782c4eb9b65e352306feded2102b047483f30

Observation f9c20458-f29e-43ed-b252-9118fe6cc11b · outbound

This paper cites DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning.

Model Tensor Planning DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning

Reference 16

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no resolver link, observed 2026-08-16T04:35:26.782127Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.782127Z digest=sha256:a9417c8b30e33bd807b8bff2f984791f4ffeec0cf7773b752e7128cb25b4b224

Observation 2e203545-d94c-457c-8dca-feb568103134 · outbound

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

Model Tensor Planning Vp-sto: Via-point-based stochastic trajectory optimization for reactive robot behavior

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.582794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.788064Z digest=sha256:d7c2ed5c30fdac9905ac6f7b8e5cef1a2c64668422696613f76fe1064271fc3b

Observation 6e8de761-688e-42ea-b125-4a587be171ef · outbound

This paper cites Rrt-connect: An efficient approach to single-query path planning.

Model Tensor Planning Rrt-connect: An efficient approach to single-query path planning

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.568823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.794253Z digest=sha256:df600b84174281811d6bc41f0199d29063d4d10651549f3e20b624e99ee69a4a

Observation ea7bf044-63b0-470a-aa75-8cbb353a8d27 · outbound

This paper cites Hydrax: Sampling-based model predictive control on gpu with jax and mujoco mjx, 2024.

Model Tensor Planning Hydrax: Sampling-based model predictive control on gpu with jax and mujoco mjx, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.555932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.799570Z digest=sha256:0e9279a20075279d6c6ce55b99e8ab301abc509577a9add65a781afbe9332673

Observation 694fd673-af14-4e41-a824-3f3a3836677b · outbound

This paper cites evosax: Jax-based evolution strategies.

Model Tensor Planning evosax: Jax-based evolution strategies

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.544104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.805490Z digest=sha256:057999208fafa2bb449a648ca6dc2800d508b4dd0e8fc32f4016065ecec09c16

Observation 92f19877-a778-4c14-ae06-3696e31d657d · outbound

This paper cites Gpu parallelization of policy iteration rrt.

Model Tensor Planning Gpu parallelization of policy iteration rrt

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.530866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.810887Z digest=sha256:9c2cb5fcb650b3e4746d20b0a50be87b6ae822589baa3e513f1bb44170274393

Observation 042a4812-18ae-4d92-9f23-0e5bd58f9a82 · outbound

This paper cites Accelerating motion planning via optimal transport.

Model Tensor Planning Accelerating motion planning via optimal transport

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.518827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.816216Z digest=sha256:f1d0170ad8a4b2cd12a66c7faf984c8c4c3fb587d719c9cc8904662bd167a975

Observation 5ac97b3e-ad2b-4b59-a271-0e68f11ccbe0 · outbound

This paper cites Global Tensor Motion Planning.

Model Tensor Planning Global Tensor Motion Planning

Reference 23

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no resolver link, observed 2026-08-16T04:35:26.820575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.820575Z digest=sha256:0f371e8e9ec559593613f661c9fda32b19aea9571f5032be8f011d3866a7b89c

Observation 70399163-ba77-4283-b398-f610dcf04ec5 · outbound

This paper cites DROP: Dexterous Reorientation via Online Planning.

Model Tensor Planning DROP: Dexterous Reorientation via Online Planning

Reference 24

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no resolver link, observed 2026-08-16T04:35:26.826254Z

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source=arxiv_source observed=2026-08-16T04:35:26.826254Z digest=sha256:512a836a3ad33b0acdf65103542536d224d53f42fc8347948b60533336e900be

Observation 9611f0c6-225b-4e9a-8d95-ddd296bf494d · outbound

This paper cites Stochastic mpc with offline uncertainty sampling.

Model Tensor Planning Stochastic mpc with offline uncertainty sampling

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.833863Z digest=sha256:6a641a023bc8d8c6c78c5b3f9e2904400d0f2edeafdb88b2d0cba66b3a44f79f

Observation 9068ed63-7fd2-495e-a4c7-a74b763e7d73 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Model Tensor Planning Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 26

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no resolver link, observed 2026-08-16T04:35:26.838754Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.838754Z digest=sha256:f7891937b1010def8eb41e0bfa00535a8d9a7dbcf49f4f5b2c7eb762f33131f9

Observation c51d1f59-3c9d-4fb5-83b8-6346a3284d1c · outbound

This paper cites Model predictive control: Recent developments and future promise.

Model Tensor Planning Model predictive control: Recent developments and future promise

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.499582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.843737Z digest=sha256:59f9435c1850cc59171b3ca5e620218a8309cb81bfdef9c06f6af69dbf281af9

Observation 3054d852-6fbf-4b46-924a-73b910d09690 · outbound

This paper cites FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching.

Model Tensor Planning FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Reference 28

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no resolver link, observed 2026-08-16T04:35:26.848308Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.848308Z digest=sha256:a26504d9dfeccb269b900e45fc35d217666f239a5c88ed5415f01c55315b3345

Observation 7f84d4c7-24a8-422f-b5dc-634c54bcf6ee · outbound

This paper cites Gpu-based parallel collision detection for fast motion planning.

Model Tensor Planning Gpu-based parallel collision detection for fast motion planning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.487401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.852756Z digest=sha256:454a24ed4b6c06d1681cd6a4844510f78d1711d7dec15771cc8ba24fde146c5d

Observation 0ab53c59-2809-4383-9917-9489f9ab976f · outbound

This paper cites Kino-pax: Highly parallel kinodynamic sampling-based planner.

Model Tensor Planning Kino-pax: Highly parallel kinodynamic sampling-based planner

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.473792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.857380Z digest=sha256:689735ce4fa8d9b3c00b4c6851cc7c5b5f081c37c0b0bf90bc7958ba926c80e6

Observation 692bfd5c-27cb-413e-8e57-2fb6adba5321 · outbound

This paper cites Sampling-based model predictive control leveraging parallelizable physics simulations.

Model Tensor Planning Sampling-based model predictive control leveraging parallelizable physics simulations

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.460498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.862212Z digest=sha256:eeeac336b11f57c5af0272fd5b34e95b68046b503d25bff1bb25280998696d8d

Observation 9e0c7202-561e-4aff-bf24-efccc897d0d3 · outbound

This paper cites Sample-efficient cross-entropy method for real-time planning.

Model Tensor Planning Sample-efficient cross-entropy method for real-time planning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.448539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.866873Z digest=sha256:7d90017508f6b3da10df7285d7bc590b5dab684fb03054871a2c12e1884b8b65

Observation 3328cef8-3661-4dce-9969-9e6034e6c761 · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Model Tensor Planning Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 33

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no resolver link, observed 2026-08-16T04:35:26.871139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.871139Z digest=sha256:a3aafff710df0199b26812ef25fe9ca824cbc4a2a8927d92e013e7e47278c4d0

Observation 1dd5f542-93b6-4d96-a36c-7d9477d16320 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Model Tensor Planning Proximal Policy Optimization Algorithms

Reference 34

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no resolver link, observed 2026-08-16T04:35:26.875514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.875514Z digest=sha256:643e23913d19d6d3f9ed43d36d0ff7f6e13943a9b16fd14a3b2320b8f0dc93b4

Observation 2159d4db-c1a1-4cbe-9522-03592998856c · outbound

This paper cites Curobo: Parallelized collision-free robot motion generation.

Model Tensor Planning Curobo: Parallelized collision-free robot motion generation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.434316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.880148Z digest=sha256:0ad733914b506686eba1ffb8911ffcfb41280c09a632055e802380953e336ae9

Observation 1c7fd68d-b01f-4d59-8939-ae7be0e661b2 · outbound

This paper cites Motions in microseconds via vectorized sampling-based planning.

Model Tensor Planning Motions in microseconds via vectorized sampling-based planning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.419747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T04:35:26.884606Z digest=sha256:8e9092f810a3ede8c85e155ff7c46cb96908a84cbdeb0a31c2523e1e05b253de

Observation f4612abc-f154-481f-8304-e4ced7aead3a · outbound

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

Model Tensor Planning Mujoco: A physics engine for model-based control

Reference 37

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no resolver link, observed 2026-08-16T04:35:26.888690Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.888690Z digest=sha256:b0c8919439dd3e370001033ceec3e1e840e23025dddd0d88f9f745a9915d620e

Observation 4032a085-1ceb-4e4e-a7bb-ce72cf7a82c2 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Model Tensor Planning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:35:26.893733Z digest=sha256:9f93cbeeaba2fa131c9bbfadbd124705d2d2438120c561e1b933c348c6735348

Observation 1d5a3160-ac6a-47c8-ac65-b51d1334dcde · outbound

This paper cites Learning implicit priors for motion optimization.

Model Tensor Planning Learning implicit priors for motion optimization

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.395395Z

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Observation 23c59880-1a6d-4942-90ac-c1ffe25a3a99 · outbound

This paper cites Mppi-generic: A cuda library for stochastic optimization.

Model Tensor Planning Mppi-generic: A cuda library for stochastic optimization

Reference 40

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no resolver link, observed 2026-08-16T04:35:26.903263Z

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source=arxiv_source observed=2026-08-16T04:35:26.903263Z digest=sha256:d0e522d7347ec22c52cc58ecd55f228b64cff7cf106bcd67d2a57baa483f110a

Observation d609f2a7-64e6-45ed-9521-73349a5eebf6 · outbound

This paper cites Inferring smooth control: Monte carlo posterior policy iteration with gaussian processes.

Model Tensor Planning Inferring smooth control: Monte carlo posterior policy iteration with gaussian processes

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.381782Z

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source=arxiv_source observed=2026-08-16T04:35:26.908009Z digest=sha256:f3918b1a1605fdf2c2393b44d7ca05db787a1dd5a39f8a81c8def62e05ee9515

Observation b9da26b1-4237-4558-a780-7ae3f914bb66 · outbound

This paper cites Natural evolution strategies.

Model Tensor Planning Natural evolution strategies

Reference 42

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verified fuzzy
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source=arxiv_source observed=2026-08-16T04:35:26.912106Z digest=sha256:1a8753fa2041d09fa0bedd940e002e5866240d6faddd7bdff70bb6e3ad3af7a7

Observation 901efdf3-01b5-4dd7-b014-741c49a44d47 · outbound

This paper cites Model predictive path integral control: From theory to parallel computation.

Model Tensor Planning Model predictive path integral control: From theory to parallel computation

Reference 43

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unresolved
no resolver link, observed 2026-08-16T04:35:26.916243Z

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source=arxiv_source observed=2026-08-16T04:35:26.916243Z digest=sha256:ef635c3c2f1bba0af128bf579b6159d9fd0ad9b462eb6468711f3a2ebc4618fa

Observation d9e3a182-19b9-4dd2-8da1-8acafe3fc029 · outbound

This paper cites Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing.

Model Tensor Planning Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing

Reference 44

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no resolver link, observed 2026-08-16T04:35:26.920443Z

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source=arxiv_source observed=2026-08-16T04:35:26.920443Z digest=sha256:cd5233375ae6b2b77be0399cbe93f96a02a44843ef2492f0fd8677b28c89a59d

Observation ba758f03-5d3f-41b2-8350-17f9e6de07eb · outbound

This paper cites Covo-mpc: Theoretical analysis of sampling-based mpc and optimal covariance design.

Model Tensor Planning Covo-mpc: Theoretical analysis of sampling-based mpc and optimal covariance design

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.335253Z

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source=arxiv_source observed=2026-08-16T04:35:26.925515Z digest=sha256:85e32ce8b0900596871ce35e75d8230a834239c22dd76c9da6510a39fba600d9

Observation d12fbcd7-d7f6-4f5c-b751-eaa94946d6f1 · outbound

This paper cites Diffusion Models are Evolutionary Algorithms.

Model Tensor Planning Diffusion Models are Evolutionary Algorithms

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T04:35:26.929705Z

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source=arxiv_source observed=2026-08-16T04:35:26.929705Z digest=sha256:a84cd369212d3a72943d56d95d2e4d51254cc22412607d6353ce2282cde12b0b

Observation f3aadc49-e9d2-40ce-88bd-5f2d53a25b97 · outbound

This paper cites A simple decentralized cross-entropy method.

Model Tensor Planning A simple decentralized cross-entropy method

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.322126Z

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source=arxiv_source observed=2026-08-16T04:35:26.933701Z digest=sha256:4ca64fb8196e9c7f28267d796a8e3bba5bf057bf2c3f578ab2caa2a1158f3128

Observation 1243760e-f7a5-455b-ab89-f3027bfd7783 · outbound

This paper cites Chomp: Covariant hamiltonian optimization for motion planning.

Model Tensor Planning Chomp: Covariant hamiltonian optimization for motion planning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:35:27.307457Z

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source=arxiv_source observed=2026-08-16T04:35:26.937972Z digest=sha256:61da6bbf8aa0ec3410e99324c8530f2af304808512141e10621d8e6d2e004e86

Observation decea9a2-d66f-4e93-a25b-4cbc983f1c84 · outbound

This paper cites write newline.

Model Tensor Planning write newline

Reference 49

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unresolved
no resolver link, observed 2026-08-16T04:35:26.941807Z

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source=arxiv_source observed=2026-08-16T04:35:26.941807Z digest=sha256:d51eef506b303f37275c0e5bc53cd5382f2881feb8379c897cf9f1cb140d0c70

Pith citing papers

Observation 5a0b58f8-4ce7-4dbe-8cb7-f12014c7a62d · inbound

MOSAIC: Skill-Centric Manipulation Planning with Physics Simulation cites this paper.

MOSAIC: Skill-Centric Manipulation Planning with Physics Simulation Model Tensor Planning

Reference 12

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local_arxiv, observed 2026-08-16T10:59:53.365896Z

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