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Paper Citation Record · LEDGER

RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2307.04738.

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

pith.paper-citation-record.v1
2307.04738 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:42:29.682230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:55:40.216265Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b003fe29-28dc-44e9-86e1-8cf696fc6a8f · inbound

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

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:03:18.824765Z

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.

source=pdf_text observed=2026-05-13T13:03:18.765496Z digest=sha256:0c6464ce6213a59899732c98102a46e507efbdbb9ac4589a000e696bd83acdec

Observation 12875a35-0b29-4dd0-806c-60d04f280dae · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:01.319613Z

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.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:127d8c1ca98f54f53a3e8c4fa6bf8c4f798476de069f8b20e69232d17cb4563c

Observation f2154be7-9915-446e-88a5-b030081f7266 · inbound

Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.

Large Language Model based Multi-Agents: A Survey of Progress and Challenges RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:58:56.217415Z

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.

source=pdf_text observed=2026-05-12T06:58:54.921355Z digest=sha256:8fff07d9b0e95e997667b9e671d058541c18409eb477a388b6377648da262bb5

Observation b5be90eb-2dab-4fff-b4f3-f2d7ac89d9da · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 171

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.675839Z

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.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:19dcbd51126585228de711a7878569a5e9805f87690ac33051599f6e69d16ee9

Observation 6e3ded65-c98a-43eb-9c1d-9d77336f8bb6 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.031352Z

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.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:ae2f8a50f22d5ddd84aa8a379da111ef1fee59ebb60b71dc74a9188b210867ee

Observation 2e7d2c0e-353b-4999-a12d-7ef984f4ed83 · inbound

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning cites this paper.

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:29.682230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:29.682230Z digest=sha256:e115678e22ec3c0fc757285c238e6f04fe2fafc5c0bd61dd1eb843daddb5d9eb

Observation 2ed1d7ae-5f5d-4f55-ae9b-2eceb6e50b15 · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T17:21:26.006380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:21:26.006380Z digest=sha256:78395fcb884725c83d8333251aed23ba1c415b89647741f35387838025bcc14d

Observation ea169ccf-166d-447f-99a4-e8a6995ad413 · inbound

OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence cites this paper.

OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T21:00:05.911327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:00:05.911327Z digest=sha256:1e27a565980726f292584e7a2dd303c6fb2b82c42da91b435f4a4dd88c06bc13

Observation a31dadd7-1c1f-4b84-b3a3-857e77c316a6 · inbound

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking cites this paper.

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:56:29.442940Z

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.

source=arxiv_source observed=2026-05-10T04:27:16.043186Z digest=sha256:f6c38dd160bd5fafd4b2e9fe6e4dd1cc9efa9d009add6db7388987e79c354b63

Observation e40e52a1-9aa9-4d36-a6d4-3ae9942abcbd · inbound

Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits cites this paper.

Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:43:19.582827Z

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.

source=pdf_text observed=2026-05-20T13:40:04.275438Z digest=sha256:43d540454a4a093865134f99c0201432920e8d37bec8319f6e9ffec155c25546

Observation a3f54024-fb44-4551-8748-24306435cf9a · inbound

Sentinel: Embodied Cooperative Spatial Reasoning and Planning cites this paper.

Sentinel: Embodied Cooperative Spatial Reasoning and Planning RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T23:04:01.444601Z

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.

source=pdf_text observed=2026-06-29T22:58:41.050531Z digest=sha256:111cda32701f1d6440b4f18281b52d8efeb82b5f2a7b5e54ffb45ab9d0bda203

Observation 8d030ba9-6362-452e-8620-ecdd6ae16269 · inbound

AERIS: Aerial-Edge Role-Driven Intelligence at Runtime via Orchestrated Language-Model Swarm cites this paper.

AERIS: Aerial-Edge Role-Driven Intelligence at Runtime via Orchestrated Language-Model Swarm RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:04:45.364409Z

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.

source=pdf_text observed=2026-06-30T05:37:05.222198Z digest=sha256:8c52cabeee99c632f7d9707d08ae30edd696b56e936c6d78e66cfa096aaff08e

Observation 57752086-84e0-4fc4-aa24-248b4ad76378 · inbound

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning cites this paper.

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:55:40.217894Z

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.

source=pdf_text observed=2026-07-01T06:09:22.431356Z digest=sha256:a4819ea450d74cb52d93adac225128a6607d892cbd47b0dde5e808440f39e9d1

Observation 6ec7e9b4-4ea9-4564-8373-ad016f8a9d14 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 175

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:35.022861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.022861Z digest=sha256:2a176bf8bbf3f453ce52f5ee4549d69c56afd9c44144eec321fc29aecdc57408

Observation 32fcdefb-445a-400f-a3b3-9c60a9a32450 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Reference 249

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.500717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.500717Z digest=sha256:7be0be4ccb7b5036c7e24762d8e2f1f969b700c00a4be43385b69c3f2104c4e5