Paper Citation Record · LEDGER

Debate2Create: Robot Co-design via Multi-Agent LLM Debate

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2510.25850.

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

pith.paper-citation-record.v1
2510.25850 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:27:04.004624Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 942ef378-66e0-4c75-a44d-8b95c66cf594 · outbound

This paper cites Morphological computation for adaptive behavior and cognition,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Morphological computation for adaptive behavior and cognition,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.533316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 791edf83-4df3-4402-9566-3c916d9f8954 · outbound

This paper cites Scalable co- optimization of morphology and control in embodied machines,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Scalable co- optimization of morphology and control in embodied machines,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.543691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076471b1-9317-420a-8670-ecd72a284857 · outbound

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

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Robomorph: Evolving robot morphology using large language models,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.547994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66850dfd-eaf4-4d85-b2d5-8c8b9a5f1778 · outbound

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

Debate2Create: Robot Co-design via Multi-Agent LLM Debate LASeR: Towards diversified and generalizable robot design with large language models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.552988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0a9e0e5-0662-4191-938c-733f17c2ebfb · outbound

This paper cites Code as Policies: Language Model Programs for Embodied Control.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Code as Policies: Language Model Programs for Embodied Control

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.557106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06fe451b-4923-4dbd-8f89-1910e8695632 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.561747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d659bf-5e99-4a88-9135-bbd915d1e6ff · outbound

This paper cites EUREKA: Human-level reward design via coding large language models,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate EUREKA: Human-level reward design via coding large language models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.566258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b032e869-f43a-4789-b55a-e09c405fcb85 · outbound

This paper cites Dreureka: Language model guided sim-to-real transfer,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Dreureka: Language model guided sim-to-real transfer,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.570566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8f315a-ac28-41c7-9764-8925f2e8c225 · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.573910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a26bdf5-8dfe-48d6-8488-bf2e84a7150d · outbound

This paper cites Improving factuality and reasoning in language models through multiagent debate,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Improving factuality and reasoning in language models through multiagent debate,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.577969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c51affd-231e-4bb3-855b-3f53922d37f7 · outbound

This paper cites Debating with More Persuasive LLMs Leads to More Truthful Answers.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Debating with More Persuasive LLMs Leads to More Truthful Answers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.581245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff26a630-3e1c-45cb-8c9a-43df16693aa9 · outbound

This paper cites OpenAI Gym.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate OpenAI Gym

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:48.961551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58eceb32-5d22-4921-9270-77de75fad223 · outbound

This paper cites Brax - a differentiable physics engine for large scale rigid body simulation,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Brax - a differentiable physics engine for large scale rigid body simulation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:02.510224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849dcb46-644a-4957-887a-dcf3a7ba5215 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Proximal Policy Optimization Algorithms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.925301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7cf4959-0f4d-4fdb-9f29-40f457398f6a · outbound

This paper cites Text2Robot: Evolutionary robot design from text descriptions,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Text2Robot: Evolutionary robot design from text descriptions,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.934736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7182a7d-daf9-4bc4-82b3-89d1677e696b · outbound

This paper cites Reward Design with Language Models.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Reward Design with Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.942685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e915944-7e6e-4289-9b4f-67d547764ee2 · outbound

This paper cites Language to Rewards for Robotic Skill Synthesis.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Language to Rewards for Robotic Skill Synthesis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.953190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b24b94-81d7-49e3-9076-3383c2994e5c · outbound

This paper cites Text2reward: Automated dense reward function generation for reinforcement learning,.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Text2reward: Automated dense reward function generation for reinforcement learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.960518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a36d9d1-4eca-4cc6-9fab-553fe9e60cac · outbound

This paper cites VLMgineer: Vision Language Models as Robotic Toolsmiths.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate VLMgineer: Vision Language Models as Robotic Toolsmiths

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.967235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward.

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

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.979319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362d78c3-a52d-4bf0-9de9-50f882c949c8 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.988676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e2b16b5-15f1-4cb7-bb0d-6ab14652239a · outbound

This paper cites A Survey on LLM-as-a-Judge.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate A Survey on LLM-as-a-Judge

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:03.996294Z

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Unavailable: canonical work link unavailable.

Observation d0f80efe-77d1-4ad1-a195-0bc56ddfee7f · outbound

This paper cites The Perfect Blend: Redefining RLHF with Mixture of Judges.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate The Perfect Blend: Redefining RLHF with Mixture of Judges

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T07:27:04.004624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590ec6f3-bf2c-45d6-808a-3d3a006962e6 · outbound

This paper cites an unresolved cited work.

Debate2Create: Robot Co-design via Multi-Agent LLM Debate Unresolved cited work

Reference 1291

Resolution: unresolved; no resolver link, observed 2026-08-04T07:26:34.538834Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.