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Paper Citation Record · LEDGER

Consensus-based optimization (CBO): Towards Global Optimality in Robotics

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2602.06868.

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

pith.paper-citation-record.v1
2602.06868 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:51:43.996043Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:31:32.846894Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T04:43:03.574266Z

Reference resolution

30 of 30 outbound references displayed

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Outbound references

Observation 74afca33-dc86-4d1a-9923-6df561d2a1fe · outbound

This paper cites Optimization-based control for dynamic legged robots.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Optimization-based control for dynamic legged robots

Reference 1

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Observation 48a4ebae-f3ee-480b-ad2c-d66b16ac9cd1 · outbound

This paper cites Learning- based legged locomotion: State of the art and future perspectives.The International Journal of Robotics Research, 44(8):1396–1427, 2025.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Learning- based legged locomotion: State of the art and future perspectives.The International Journal of Robotics Research, 44(8):1396–1427, 2025

Reference 2

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source=pdf_text observed=2026-08-03T03:51:43.905101Z digest=sha256:bb597994f53ddf913384bf32f07c3a6775e1b36375d6978fe083c96900b51fb8

Observation b3d9230f-1dbe-46f2-b32b-80a866925768 · outbound

This paper cites Visual Imitation Enables Contextual Humanoid Control.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Visual Imitation Enables Contextual Humanoid Control

Reference 3

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source=pdf_text observed=2026-08-03T03:51:43.908539Z digest=sha256:38660932ec9bd317394ce19e3ecd8b618e7b7dd6e4555e57a541d376217db803

Observation 8f9000f2-6a45-47ae-adca-5277a2f2aa99 · outbound

This paper cites OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction

Reference 4

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source=pdf_text observed=2026-08-03T03:51:43.912494Z digest=sha256:7537d8e11af0433e0d7bed140f8243655c02f8ff84332293a09a64f7e4aa5b72

Observation 4be49760-c648-458e-83a4-01abf08e536c · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10-11):1684–1704, 2025.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10-11):1684–1704, 2025

Reference 5

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source=pdf_text observed=2026-08-03T03:51:43.916731Z digest=sha256:a42bc8876514f545d99ee851e5f85a722155e50c55e8a2c53ce7bf742f9f95d8

Observation f429bd4f-dda0-41d3-87bd-1f735a17ee52 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 6

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source=pdf_text observed=2026-08-03T03:51:43.920039Z digest=sha256:7f327eaf73f79561d97524dd57b9fbc625cb311250a25d891822bca6698c9870

Observation dcc6450a-7ac1-4db7-b223-12fcd29e6f12 · outbound

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

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 8

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source=pdf_text observed=2026-08-03T03:51:43.923846Z digest=sha256:e0f2c057acbbc9028edaa93a10593020642b81b4918aac7ea2a377ab6a81de81

Observation 6dc828eb-0ef4-4456-a15a-e21496e4860f · outbound

This paper cites An introduction to zero-order op- timization techniques for robotics.arXiv preprint arXiv:2506.22087, 2025.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics An introduction to zero-order op- timization techniques for robotics.arXiv preprint arXiv:2506.22087, 2025

Reference 9

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source=pdf_text observed=2026-08-03T03:51:43.927731Z digest=sha256:fd0e4bb6950c818d9c114eb721d636c0435f881c802958426e8f38e379f49732

Observation f9d83cbc-7dc4-48f9-94fb-a6a801463ed0 · outbound

This paper cites Sampling-based methods for optimal control: Theory, algorithms, and applications.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Sampling-based methods for optimal control: Theory, algorithms, and applications

Reference 10

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source=pdf_text observed=2026-08-03T03:51:43.930856Z digest=sha256:e3ada4dab126abf8fb383514f19c7f76d54faa496e88e443fcf6844347170ef3

Observation 270d9a89-5940-4a68-a7e3-510e3f4dde55 · outbound

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

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Aggressive driving with model predictive path integral control

Reference 11

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source=pdf_text observed=2026-08-03T03:51:43.933895Z digest=sha256:c74799615b8f81cc95a1846f002592a3f55141789beda0519ea3b3613a55dfc9

Observation d9d4bcfe-5d04-43f1-8a94-2d7b56ed32d8 · outbound

This paper cites Springer Science & Business Media, 2004.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Springer Science & Business Media, 2004

Reference 12

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source=pdf_text observed=2026-08-03T03:51:43.937036Z digest=sha256:34992b96f1e7f6c1fcc63ecc1442d500d18264bf2b7262886be94e2a5f4d01cf

Observation b4048108-519f-4434-bc4f-b0637d664ca8 · outbound

This paper cites Completely derandomized self-adaptation in evolution strategies.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Completely derandomized self-adaptation in evolution strategies

Reference 13

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source=pdf_text observed=2026-08-03T03:51:43.940684Z digest=sha256:0e8a71f64c5b88bf2c0e19def7230987cf8cd13fa7b4acf995e3faab9e9c24d5

Observation 167ddad9-f454-499d-a5e6-23a3383500b1 · outbound

This paper cites Full-order sampling-based mpc for torque- level locomotion control via diffusion-style annealing.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Full-order sampling-based mpc for torque- level locomotion control via diffusion-style annealing

Reference 14

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source=pdf_text observed=2026-08-03T03:51:43.943789Z digest=sha256:7c1a0c4ecdb77d03b579068a9cf4555e6c472fce5aefd5d1aa4bea531199e7a9

Observation d631b9e4-908b-4337-843c-9373a2734266 · outbound

This paper cites Control of legged robots using model predictive optimized path integral.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Control of legged robots using model predictive optimized path integral

Reference 15

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source=pdf_text observed=2026-08-03T03:51:43.946633Z digest=sha256:5918c96989cd13371989fd29532710fa35da7d5fc0fda09615d78db08daf3dc2

Observation 9d55278f-4409-4f2a-b683-48a3aab21f5f · outbound

This paper cites Sampling-based model predictive control leverag- ing parallelizable physics simulations.IEEE Robotics and Automation Letters, 2025.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Sampling-based model predictive control leverag- ing parallelizable physics simulations.IEEE Robotics and Automation Letters, 2025

Reference 16

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source=pdf_text observed=2026-08-03T03:51:43.949367Z digest=sha256:c72955994133fb764f784cff3124347d59442e12c7a3025159a13bac880dc17b

Observation ed7f24c7-5475-45d4-a83f-7a4b61a0657c · outbound

This paper cites Td-cd- mppi: Temporal-difference constraint-discounted model predictive path integral control.IEEE Robotics and Automation Letters, 11(1):498–505, 2025.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Td-cd- mppi: Temporal-difference constraint-discounted model predictive path integral control.IEEE Robotics and Automation Letters, 11(1):498–505, 2025

Reference 17

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source=pdf_text observed=2026-08-03T03:51:43.952135Z digest=sha256:14ee96e97be4985ffbfcdfce07b54fa3b44879f3c626dfe60db7a1210bb12512

Observation 28fe0135-6d28-426c-b3c8-62a2a5909691 · outbound

This paper cites Information-geometric optimization al- gorithms: A unifying picture via invariance principles.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Information-geometric optimization al- gorithms: A unifying picture via invariance principles

Reference 18

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source=pdf_text observed=2026-08-03T03:51:43.955137Z digest=sha256:d9201175c040571167f877c2cbb1ab1ec66f96ee88c80fc02fa0ffc5085b0071

Observation 20d78c2f-4deb-4501-86dd-39fdbb77b11f · outbound

This paper cites A consensus-based model for global optimization and its mean-field limit.Mathematical Models and Methods in Applied Sciences, 27(01):183–204, 2017.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics A consensus-based model for global optimization and its mean-field limit.Mathematical Models and Methods in Applied Sciences, 27(01):183–204, 2017

Reference 19

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Observation 7daca99d-a45a-44e1-b7d6-cde7ff033ae7 · outbound

This paper cites An analytical framework for consensus-based global optimization method.Mathematical Models and Methods in Applied Sciences, 28(06):1037–1066, 2018.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics An analytical framework for consensus-based global optimization method.Mathematical Models and Methods in Applied Sciences, 28(06):1037–1066, 2018

Reference 20

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Observation a0cb731d-c432-485c-aacb-9b72d5a78878 · outbound

This paper cites Consensus-based optimization methods converge glob- ally.SIAM Journal on Optimization, 34(3):2973–3004, 2024.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Consensus-based optimization methods converge glob- ally.SIAM Journal on Optimization, 34(3):2973–3004, 2024

Reference 21

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Observation caf814cc-d479-41e7-8e22-4d62a443da49 · outbound

This paper cites World Scientific Publishing Company, 1991.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics World Scientific Publishing Company, 1991

Reference 22

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source=pdf_text observed=2026-08-03T03:51:43.967422Z digest=sha256:74e241bbacae584652d6ce3f06d6dc76d10c21a1bf66e9789e7c4707f3480f1d

Observation 4505220f-7da3-41db-afa1-5ce09902b841 · outbound

This paper cites Analytical integral global optimization.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Analytical integral global optimization

Reference 23

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source=pdf_text observed=2026-08-03T03:51:43.970462Z digest=sha256:7857383a5d5a04a03d1da6c9562843956770adaad41ec75d4a55d108b01c7573

Observation 2e58b1b9-37ae-426e-a742-565a20b8b60c · outbound

This paper cites Springer Science & Business Media, 2001.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Springer Science & Business Media, 2001

Reference 24

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source=pdf_text observed=2026-08-03T03:51:43.973470Z digest=sha256:ca1d7204621b560b0872859900796c749e3c3b78981e03d6846eb72b35edbbe5

Observation 6a53a6b7-2e11-46b7-9c78-575acd72a5b3 · outbound

This paper cites Random gradient-free minimization of convex functions.Foun- dations of Computational Mathematics, 17(2):527–566, April 2017.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Random gradient-free minimization of convex functions.Foun- dations of Computational Mathematics, 17(2):527–566, April 2017

Reference 25

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source=pdf_text observed=2026-08-03T03:51:43.976368Z digest=sha256:03eb598a8f217244829f0a04732de788c8f86bc45d2d14af0da4cbe152127d67

Observation 62cae30b-14d1-4212-aa34-34da152a9988 · outbound

This paper cites A generalized path integral control approach to rein- forcement learning.The Journal of Machine Learning Research, 11:3137–3181, 2010.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics A generalized path integral control approach to rein- forcement learning.The Journal of Machine Learning Research, 11:3137–3181, 2010

Reference 26

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source=pdf_text observed=2026-08-03T03:51:43.979347Z digest=sha256:b9a54987405a9f57b453aed6c5c216bdcc16ef3bd437a16cdfc6e91ecac2ebdd

Observation 01bbdcca-676c-418a-bd15-972f2ad66224 · outbound

This paper cites Model predictive path integral control: From theory to parallel computation.Journal of Guidance, Control, and Dynamics, 40(2):344–357, 2017.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Model predictive path integral control: From theory to parallel computation.Journal of Guidance, Control, and Dynamics, 40(2):344–357, 2017

Reference 27

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source=pdf_text observed=2026-08-03T03:51:43.982814Z digest=sha256:c54fbbaf54dd8d8da8190a5d47b6bfff2e28d7d3a69d92c6460ad9a69f0e7f81

Observation 249e7aa6-c062-472e-a6ff-7d76a9cf82db · outbound

This paper cites Bidirectional relation between cma evolution strategies and natural evolution strategies.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Bidirectional relation between cma evolution strategies and natural evolution strategies

Reference 28

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source=pdf_text observed=2026-08-03T03:51:43.985986Z digest=sha256:07e170953ef1ebef0d6cecc66e4264a5c3e19288ab7ee8d6622a1f7421ec9670

Observation 34a15b9b-90ad-4e10-811e-7b118bc93a2b · outbound

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

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Hydrax: Sampling-based model predic- tive control on gpu with jax and mujoco mjx, 2024

Reference 29

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source=pdf_text observed=2026-08-03T03:51:43.989536Z digest=sha256:523ffa5f0bb4e84a9e3cfb2b2ccba50ea3ce0b7ecfcc2435f61e0f442166a442

Observation e70d2092-b252-499e-85eb-d3af68396502 · outbound

This paper cites evosax: Jax-based evolution strate- gies.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics evosax: Jax-based evolution strate- gies

Reference 30

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source=pdf_text observed=2026-08-03T03:51:43.992980Z digest=sha256:3c42e7b3d7d0d45e4d3ede1cc7b303281c82b8bdc85e3fa1482d454afd78ef68

Observation 5a3f228f-459e-4889-a75c-c3313d5fdaab · outbound

This paper cites Spline-Interpolated Model Predictive Path Integral Control with Stein Variational Inference for Reactive Navigation.

Consensus-based optimization (CBO): Towards Global Optimality in Robotics Spline-Interpolated Model Predictive Path Integral Control with Stein Variational Inference for Reactive Navigation

Reference 31

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source=pdf_text observed=2026-08-03T03:51:43.996043Z digest=sha256:11eb67b2cbd74e65e0ec32ccbe4681d4b23525a73b7f13bdcbec058630e174f4

Pith citing papers

Observation d63f2b97-eff1-49f4-85fc-c0aac8cc38a3 · inbound

Convergence of Consensus-Based Particle Methods for Nonconvex Bi-Level Optimization cites this paper.

Convergence of Consensus-Based Particle Methods for Nonconvex Bi-Level Optimization Consensus-based optimization (CBO): Towards Global Optimality in Robotics

Reference 180

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arxiv_id, observed 2026-06-11T02:09:27.777994Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-20T04:41:01.326216Z digest=sha256:7cc2d14d47c513407c507b398ed0e6927824f4842e915499a0d3ef29769c86ba

Observation 0fbd8322-305e-491a-b221-8171bc325683 · inbound

Exploiting Structure with Anisotropic Consensus-Based Optimization cites this paper.

Exploiting Structure with Anisotropic Consensus-Based Optimization Consensus-based optimization (CBO): Towards Global Optimality in Robotics

Reference 89

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