Paper Citation Record · LEDGER

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners

As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2505.20573.

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

pith.paper-citation-record.v1
2505.20573 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:25.022770Z

measured 51 of 51 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 2026-05-23T04:32:05.138744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:32.377933Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy17
unresolved32
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa04de3c-a4b5-459e-a2c7-57b7c09f6197 · outbound

This paper cites an unresolved cited work.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:20.100554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09340c08-fe93-4044-aba0-d06271f692bc · outbound

This paper cites Temporal and modal logic.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Temporal and modal logic

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:28.983223Z

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 fc33fb74-22cb-42b5-a3ac-c09624e62521 · outbound

This paper cites Auto- tamp: Autoregressive task and motion planning with llms as translators and checkers.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Auto- tamp: Autoregressive task and motion planning with llms as translators and checkers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:28.729658Z

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 162c839e-29b3-4eea-8f60-9eaedb2ece5b · outbound

This paper cites Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:20.260729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aad3c755-42ed-4f03-8124-946eea6904dd · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:20.384875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ba1819-c011-4449-9bfb-882ce5814cdc · outbound

This paper cites Deepcoder: A fully open-source 14b coder at o3-mini level.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Deepcoder: A fully open-source 14b coder at o3-mini level

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:20.489979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a66639-4038-42f9-babe-ffbcba97dd3b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:20.682400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c68b87-1cd4-4d5e-ad89-25b86ea2ae0f · outbound

This paper cites Code-r1: Reproducing r1 for code with reliable rewards.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Code-r1: Reproducing r1 for code with reliable rewards

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:20.781961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d12455-9562-4b23-904e-b97d8b2a4a80 · outbound

This paper cites Audere: Automated strategy decision and realization in robot planning and control via llms.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Audere: Automated strategy decision and realization in robot planning and control via llms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:20.888782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6713fc9b-3512-499f-853e-6556c6960a91 · outbound

This paper cites an unresolved cited work.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:57:28.515415Z

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 5183f96e-4c69-4d9c-a64e-ea21f08ca64b · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:21.077445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa46827-25c6-4f17-b2e2-ec460f8eb4c3 · outbound

This paper cites Roco: Dialectic multi-robot collaboration with large language models, 2023.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Roco: Dialectic multi-robot collaboration with large language models, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:28.264780Z

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 d3809a7c-f590-4cf0-8946-6cdd863f2bdd · outbound

This paper cites Multi-agent motion planning from signal temporal logic specifications.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Multi-agent motion planning from signal temporal logic specifications

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:28.012414Z

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 c418bec1-f213-4f0e-b40c-8735895680e2 · outbound

This paper cites Gcbf+: A neural graph control barrier function framework for distributed safe multi-agent control.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Gcbf+: A neural graph control barrier function framework for distributed safe multi-agent control

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:27.808815Z

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 200f96ca-2c3c-4b83-a08c-29af9fa7f556 · outbound

This paper cites Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:21.509097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db86c0c5-dbad-4496-9254-00322d3c03c2 · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:21.614228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bbe1411-8d76-44d5-93ef-4f89297a99f6 · outbound

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

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Mujoco: A physics engine for model-based control

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:27.593974Z

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 54460a68-4b78-4f54-81c9-0dcebb9f5192 · outbound

This paper cites Loshchilov and F.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Loshchilov and F

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:21.815824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c000a728-3cac-4185-ac6c-9e17770d1d24 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:21.906336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea3c1cf-ef0c-4427-8cb6-158f407731b6 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners HybridFlow: A Flexible and Efficient RLHF Framework

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86460a6f-3be9-4dc4-bdd5-a3acdc24373b · outbound

This paper cites Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:22.130397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b217afe-bb80-42bd-9bcb-f42e0d11cf38 · outbound

This paper cites Dualformer: Controllable fast and slow thinking by learning with randomized reasoning traces.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Dualformer: Controllable fast and slow thinking by learning with randomized reasoning traces

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:27.397285Z

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 0f642f19-ffd3-4b8d-bfde-472e3e9e9eb6 · outbound

This paper cites Lee, and Sanjeev Arora.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Lee, and Sanjeev Arora

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:22.372020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4859b4d-49a9-417b-8aab-688172e73484 · outbound

This paper cites Leveraging pre- trained large language models to construct and utilize world models for model-based task planning.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Leveraging pre- trained large language models to construct and utilize world models for model-based task planning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:22.484694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 774a9e94-1f37-48c2-b592-e6aae5d86a26 · outbound

This paper cites Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:22.600174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10165055-8f31-475e-83aa-045c3d18fa7c · outbound

This paper cites Lew, Tim Vieira, and Timothy J.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Lew, Tim Vieira, and Timothy J

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:27.160624Z

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 43998789-b546-4f4c-b3aa-9a2e94c330c3 · outbound

This paper cites Code as policies: Language model programs for embodied control.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Code as policies: Language model programs for embodied control

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:22.741877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a503d5-20e6-41e0-ae6a-c406a3eaa060 · outbound

This paper cites Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, A.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, A

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:27.036575Z

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 c0b06172-4e69-4f82-8de3-6e349f563abf · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Progprompt: Generating situated robot task plans using large language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:22.892715Z

Source-reported events for the cited work

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Observation a2d03661-7a48-4cad-a262-e2899a4f2cca · outbound

This paper cites Text2Motion: From Natural Language Instructions to Feasible Plans.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Text2Motion: From Natural Language Instructions to Feasible Plans

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:22.987732Z

Source-reported events for the cited work

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Observation ae2d434d-ab98-460b-8309-4f2f26ae495e · outbound

This paper cites Towards efficient llm grounding for embodied multi-agent collaboration.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Towards efficient llm grounding for embodied multi-agent collaboration

Reference 32

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Source-reported events for the cited work

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Observation d6286ac9-f48c-4514-ad7c-6f06f732c84d · outbound

This paper cites Embodied LLM Agents Learn to Cooperate in Organized Teams.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:23.195889Z

Source-reported events for the cited work

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Observation a7e36b4c-1e48-4c1a-b66a-c98af96c9156 · outbound

This paper cites Enhancing multi-robot semantic navigation through multimodal chain-of-thought score collaboration.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Enhancing multi-robot semantic navigation through multimodal chain-of-thought score collaboration

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:26.907603Z

Source-reported events for the cited work

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Observation a11ee505-a54d-4999-bdca-b2ea6ad893fa · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:23.409006Z

Source-reported events for the cited work

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Observation 5e14007f-8e82-48c7-82ca-15348a966e2c · outbound

This paper cites Competitive Programming with Large Reasoning Models.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Competitive Programming with Large Reasoning Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:23.521521Z

Source-reported events for the cited work

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Observation a3949b04-ba26-4a91-9234-96cf844a61d6 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:23.665597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac736a28-062b-4432-8e55-d486391b2472 · outbound

This paper cites Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:23.757024Z

Source-reported events for the cited work

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Observation ebb7737a-1fa5-4016-af44-6a9d953f2693 · outbound

This paper cites Agile: A novel reinforcement learning framework of llm agents.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Agile: A novel reinforcement learning framework of llm agents

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:26.780506Z

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Observation c5875b62-d4b9-48fb-b360-e4299fe027ea · outbound

This paper cites Introducing operator, 2024.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Introducing operator, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:26.595719Z

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 5e90f5b5-2338-45ef-b97c-806ceb17304c · outbound

This paper cites MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:23.945486Z

Source-reported events for the cited work

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Observation d7bda1a1-81f0-46b9-80fa-bd6b7b80c950 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:24.052477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e3de99c-8fa2-4f1d-a5a3-8be355d59d17 · outbound

This paper cites Thinkprune: Pruning long chain-of-thought of llms via reinforcement learning.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Thinkprune: Pruning long chain-of-thought of llms via reinforcement learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:26.421052Z

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 ccb92bbb-d27c-4958-8c4d-1a5fa4b5ff10 · outbound

This paper cites Quiet-star: Language models can teach themselves to think before speaking.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Quiet-star: Language models can teach themselves to think before speaking

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:26.229832Z

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 5db057e9-d6aa-44f5-82ce-10e74ecf65cb · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:24.327364Z

Source-reported events for the cited work

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Observation 12b7c5e7-6a15-41bc-bbaa-fc570bc3142b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Proximal Policy Optimization Algorithms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:24.450140Z

Source-reported events for the cited work

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Observation ddc09522-61e6-4b8e-b645-16039e04adfc · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:24.560325Z

Source-reported events for the cited work

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This paper cites Wait", "Hmm.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Wait", "Hmm

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:25.808321Z

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 05940778-2cc6-4115-b350-b75d838a5605 · outbound

This paper cites Let me see.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Let me see

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:25.966925Z

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 7ff278ac-d07e-40a2-af99-2483651e03e2 · outbound

This paper cites Wait", "Hmm.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Wait", "Hmm

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:25.654717Z

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 56de470c-ca3c-40eb-a5cd-a329984b4533 · inbound

Large Language Models for Multi-Robot Systems: A Survey cites this paper.

Large Language Models for Multi-Robot Systems: A Survey Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.381194Z

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 0fb06e80-1144-4d3b-9ebb-37c1a5f99b66 · inbound

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems cites this paper.

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:06:05.583610Z

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.