Paper Citation Record · LEDGER

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2506.00276.

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

pith.paper-citation-record.v1
2506.00276 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:03.015143Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:27:03.979319Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:33:59.401876Z

Reference resolution

41 of 41 outbound references displayed

verified exact3
verified fuzzy24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86a75095-9be3-42ed-b1bc-378ce1871626 · outbound

This paper cites Spinning up in deep reinforcement learning.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Spinning up in deep reinforcement learning

Reference 1

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Observation c3b7ecb7-93aa-4907-a974-68342262fd20 · outbound

This paper cites An overview of evolutionary algorithms for parameter optimization.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward An overview of evolutionary algorithms for parameter optimization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:08.650271Z

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Observation 56f6dd30-d1c6-4e6a-b581-48175e1c6564 · outbound

This paper cites On the use of the coefficient of variation as a measure of diversity.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward On the use of the coefficient of variation as a measure of diversity

Reference 3

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Observation c39deb73-73fa-4ddf-8b78-a85d876b4ef6 · outbound

This paper cites Convergence of alternating optimization.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Convergence of alternating optimization

Reference 4

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Observation 4a48866d-f3e4-435f-b64e-56dc84c68f25 · outbound

This paper cites Evolution gym: A large-scale benchmark for evolving soft robots.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Evolution gym: A large-scale benchmark for evolving soft robots

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:07.996255Z

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Observation 50093849-61fc-4daa-9d57-62a99bb76594 · outbound

This paper cites One robot for many tasks: Versatile co-design through stochastic programming.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward One robot for many tasks: Versatile co-design through stochastic programming

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:07.682571Z

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Observation 0308f27a-be8a-4fc5-a2d7-7e3e8f635fa8 · outbound

This paper cites Learning navigation behaviors end-to-end with autorl.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Learning navigation behaviors end-to-end with autorl

Reference 7

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Observation d3f7ca33-9f99-4fef-bbaf-fc31911e75c0 · outbound

This paper cites GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill

Reference 8

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Observation 1d6b1797-87ba-4bed-92f5-4f0250950f5a · outbound

This paper cites Evolving Rewards to Automate Reinforcement Learning.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Evolving Rewards to Automate Reinforcement Learning

Reference 9

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Source-reported events for the cited work

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Observation 38db53ad-0a1d-4a13-9daf-6a912f3a0b6b · outbound

This paper cites A Tutorial on Bayesian Optimization.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward A Tutorial on Bayesian Optimization

Reference 10

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Source-reported events for the cited work

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Observation ad2150c0-8d9d-4645-81fc-090f9d2c4fb2 · outbound

This paper cites Forward and inverse problems in the mechanics of soft filaments.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Forward and inverse problems in the mechanics of soft filaments

Reference 11

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Source-reported events for the cited work

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Observation 7e007ff8-ba7a-4db3-ae4b-2e762c73f5da · outbound

This paper cites Somogym: A toolkit for developing and evaluating controllers and reinforcement learning algorithms for soft robots.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Somogym: A toolkit for developing and evaluating controllers and reinforcement learning algorithms for soft robots

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:06.743201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af6011cf-bfc4-428a-a884-83329df25250 · outbound

This paper cites Reinforcement learning for improving agent design.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Reinforcement learning for improving agent design

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:06.538694Z

Source-reported events for the cited work

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Observation b7de47cd-bf6e-48e3-9cab-c35ff0cf4ade · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Soft Actor-Critic Algorithms and Applications

Reference 14

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Source-reported events for the cited work

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Observation ea2391a2-373b-4d5e-a13e-84b4802ccc3a · outbound

This paper cites Generating and evolving reward functions for highway driving with large language models.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Generating and evolving reward functions for highway driving with large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:06.387397Z

Source-reported events for the cited work

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Observation 486ad48a-ba41-4943-a6c0-596cd89bc46d · outbound

This paper cites Generative adversarial imitation learning.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Generative adversarial imitation learning

Reference 16

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Source-reported events for the cited work

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Observation 3c47191d-3ef6-418f-bc89-b8d23f5a61c3 · outbound

This paper cites Reward (mis) design for autonomous driving.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Reward (mis) design for autonomous driving

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:06.185212Z

Source-reported events for the cited work

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Observation 0866b83b-1f2f-4300-8ce1-dae26dbc3970 · outbound

This paper cites Evolution through large models.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Evolution through large models

Reference 18

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Source-reported events for the cited work

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Observation 0382b66b-0f39-4aaa-b2c1-3290c1c138c0 · outbound

This paper cites BodyGen: Advancing Towards Efficient Embodiment Co-Design.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward BodyGen: Advancing Towards Efficient Embodiment Co-Design

Reference 19

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Observation e6fe206d-9292-4c46-a9a4-aeb3c984bf47 · outbound

This paper cites Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:05.774423Z

Source-reported events for the cited work

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Observation 2768ce7e-1f88-43a0-ad4d-2e5b7ad9f9c0 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 21

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Observation e68b03ef-07e9-4f70-9cf5-014d2bee1c6b · outbound

This paper cites Learning to control self-assembling morphologies: a study of generalization via modularity.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Learning to control self-assembling morphologies: a study of generalization via modularity

Reference 22

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Source-reported events for the cited work

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Observation a60f996f-c605-4ef2-b9a5-38e8d24a3461 · outbound

This paper cites Robomorph: Evolving robot morphology using large language models.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Robomorph: Evolving robot morphology using large language models

Reference 23

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Source-reported events for the cited work

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Observation 64901313-bd3b-4a2f-bffd-06b4712922aa · outbound

This paper cites Gaussian processes in machine learning.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Gaussian processes in machine learning

Reference 24

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Observation 2b45066b-c4c4-4406-8988-d4258e4210b1 · outbound

This paper cites Intelligent robotic control.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Intelligent robotic control

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:05.586228Z

Source-reported events for the cited work

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Observation 5d6351fe-02b8-4bb1-ab86-fcf98e64f91c · outbound

This paper cites Evolving virtual creatures.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Evolving virtual creatures

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:05.421983Z

Source-reported events for the cited work

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Observation 5668808e-d06b-40b4-b9a4-eb70c51f1345 · outbound

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RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Unresolved cited work

Reference 27

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Observation bc92d420-28af-47ee-afc1-6728ca032d3d · outbound

This paper cites Laser: Towards diversified and generalizable robot design with large language models.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Laser: Towards diversified and generalizable robot design with large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:05.229127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5dc1b184-1e02-43b5-8534-b22204114768 · outbound

This paper cites The artificial life route to artificial intelligence: Building embodied, situated agents.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward The artificial life route to artificial intelligence: Building embodied, situated agents

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:05.074450Z

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Observation 99c6d92a-e03d-45d4-8e22-9cd58da40b1c · outbound

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

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 30

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Observation 90d0c364-155b-4771-ac95-3bf6f89aa34c · outbound

This paper cites Neural Graph Evolution: Towards Efficient Automatic Robot Design.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Neural Graph Evolution: Towards Efficient Automatic Robot Design

Reference 31

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Observation 8f3733fb-973f-477a-b90e-936365172893 · outbound

This paper cites SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments

Reference 32

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Observation a322076d-97fc-43ce-af1a-f9b6be6cbe66 · outbound

This paper cites Towards Socially and Morally Aware RL agent: Reward Design With LLM.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Towards Socially and Morally Aware RL agent: Reward Design With LLM

Reference 33

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Observation 0b8c121d-82d9-434f-b8d9-6f48a31914c9 · outbound

This paper cites Multi-objective graph heuristic search for terrestrial robot design.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Multi-objective graph heuristic search for terrestrial robot design

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:04.850714Z

Source-reported events for the cited work

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Observation 9db835ae-be75-4030-bf19-702ad8ff8e33 · outbound

This paper cites Text2reward: Reward shaping with language models for reinforcement learning.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Text2reward: Reward shaping with language models for reinforcement learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:04.682577Z

Source-reported events for the cited work

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Observation f497d150-ae42-4321-ba79-90671c21251b · outbound

This paper cites CUDA-Accelerated Soft Robot Neural Evolution with Large Language Model Supervision.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward CUDA-Accelerated Soft Robot Neural Evolution with Large Language Model Supervision

Reference 36

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Observation 11350fa3-8fe4-49a8-affa-b9bd1d7bf109 · outbound

This paper cites Modeling and simulation of complex dynamic musculoskeletal architectures.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Modeling and simulation of complex dynamic musculoskeletal architectures

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:04.518419Z

Source-reported events for the cited work

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Observation a28650ed-097c-4df9-a492-79661f313a9b · outbound

This paper cites Robogrammar: graph grammar for terrain-optimized robot design.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Robogrammar: graph grammar for terrain-optimized robot design

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:04.371635Z

Source-reported events for the cited work

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Observation 331c7712-c63f-42ee-8c21-1ac497b5eb22 · outbound

This paper cites def _get_rew():.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward def _get_rew():

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:04.180087Z

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Observation f55c7af3-d6a1-45f1-a842-21c934e0c50d · outbound

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RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Unresolved cited work

Reference 40

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Observation cd1e2244-90d2-4f16-9ecb-da541989e6b9 · outbound

This paper cites parameters.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward parameters

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:03.827116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 48514513-232f-4262-a485-d40201be6b63 · inbound

Debate2Create: Robot Co-design via Multi-Agent LLM Debate cites this paper.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward

Reference 20

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Observation 25eb0a28-0465-47f0-b52a-2b1ea96c04c9 · inbound

When Search Becomes Memory: Turning Robot Design Trials into Transferable Skills cites this paper.

When Search Becomes Memory: Turning Robot Design Trials into Transferable Skills RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:33:59.403530Z

Source-reported events for the cited work

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