Paper Citation Record · LEDGER

Prompting Robot Teams with Natural Language

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2509.24575.

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

pith.paper-citation-record.v1
2509.24575 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:52:25.014748Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:25:39.771740Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy0
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 3b01e12c-ca0e-432b-a28c-3f2c127ddcf7 · outbound

This paper cites Long-horizon Multi-robot Rearrangement Planning for Construction Assembly,.

Prompting Robot Teams with Natural Language Long-horizon Multi-robot Rearrangement Planning for Construction Assembly,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:18.633825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116c4842-76fd-4acf-aad3-ae56295a3ed7 · outbound

This paper cites On Collaborative Robot Teams for Environmental Monitoring: A Macro- scopic Ensemble Approach,.

Prompting Robot Teams with Natural Language On Collaborative Robot Teams for Environmental Monitoring: A Macro- scopic Ensemble Approach,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:18.774742Z

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Unavailable: canonical work link unavailable.

Observation 3f99152b-1835-47de-9890-adb7134dd49f · outbound

This paper cites Multi-robot Multi-room Exploration with Geometric Cue Extraction and Circular Decomposition,.

Prompting Robot Teams with Natural Language Multi-robot Multi-room Exploration with Geometric Cue Extraction and Circular Decomposition,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:18.934742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37baa4ba-0c62-4516-b571-0a22bb9d1451 · outbound

This paper cites Multi-Robot Target Tracking with Sensing and Communication Danger Zones.

Prompting Robot Teams with Natural Language Multi-Robot Target Tracking with Sensing and Communication Danger Zones

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:19.073413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac65cb0-d96a-4dd8-aacf-b9be694031e6 · outbound

This paper cites A survey of robotic language grounding: tradeoffs between symbols and embeddings,.

Prompting Robot Teams with Natural Language A survey of robotic language grounding: tradeoffs between symbols and embeddings,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:19.204739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1599fd08-4666-4dc1-9317-367b14a20297 · outbound

This paper cites Corpus-based Robotics: A Route Instruction Example,.

Prompting Robot Teams with Natural Language Corpus-based Robotics: A Route Instruction Example,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:19.374745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9bcd6ef-454e-42ff-8c9c-e26cd6c4857d · outbound

This paper cites Toward Understanding Natural Language Directions,.

Prompting Robot Teams with Natural Language Toward Understanding Natural Language Directions,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:19.644735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ba6c25-4309-4a6b-9f75-30252194c1cc · outbound

This paper cites Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation.

Prompting Robot Teams with Natural Language Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:19.744735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b77d0a-6c86-48e7-b104-3d022d0dab7d · outbound

This paper cites Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication.

Prompting Robot Teams with Natural Language Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:19.844742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf28d41e-b17e-41c9-a2b8-17b0b852f0ab · outbound

This paper cites Foundation Models to the Rescue: Deadlock Resolution in Connected Multi-Robot Systems.

Prompting Robot Teams with Natural Language Foundation Models to the Rescue: Deadlock Resolution in Connected Multi-Robot Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:20.104749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7906af8-7045-4d59-b381-854d605dcc99 · outbound

This paper cites Distilling On-device Language Models for Robot Planning with Minimal Human Intervention,.

Prompting Robot Teams with Natural Language Distilling On-device Language Models for Robot Planning with Minimal Human Intervention,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:20.424739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d895a930-08fc-4163-8525-c40cfd9b7f9f · outbound

This paper cites Language-Conditioned Offline RL for Multi-Robot Navigation.

Prompting Robot Teams with Natural Language Language-Conditioned Offline RL for Multi-Robot Navigation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:20.624864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17540eb0-8bb0-44d0-a7c4-c381392722e5 · outbound

This paper cites Learning to Discover Abstractions for LLM Reasoning,.

Prompting Robot Teams with Natural Language Learning to Discover Abstractions for LLM Reasoning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:21.064747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09b927b7-6421-425e-a9a4-5f447829023e · outbound

This paper cites LATMOS: Latent Automaton Task Model from Observation Sequences.

Prompting Robot Teams with Natural Language LATMOS: Latent Automaton Task Model from Observation Sequences

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:21.274750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfc8db22-b285-4907-8b31-866205b111bd · outbound

This paper cites The Cambridge RoboMaster: An Agile Multi-Robot Research Platform.

Prompting Robot Teams with Natural Language The Cambridge RoboMaster: An Agile Multi-Robot Research Platform

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:21.464738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77be61af-2bac-4b63-b873-c9aad7bd96eb · outbound

This paper cites Interpretation of Spatial Language in a Map Navigation Task,.

Prompting Robot Teams with Natural Language Interpretation of Spatial Language in a Map Navigation Task,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:21.615713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ac4707-7441-42d7-add0-89742f1271f2 · outbound

This paper cites Walk the talk: connecting language, knowledge, and action in route instructions,.

Prompting Robot Teams with Natural Language Walk the talk: connecting language, knowledge, and action in route instructions,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:21.754744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29b0441-3864-4b81-a59a-5ada2ac18bca · outbound

This paper cites An Intelligence Architecture for Grounded Language Communication with Field Robots,.

Prompting Robot Teams with Natural Language An Intelligence Architecture for Grounded Language Communication with Field Robots,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:21.851959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b5b38f-cc47-4416-adf0-6ac3cad7ecd0 · outbound

This paper cites Language models are few-shot learners,.

Prompting Robot Teams with Natural Language Language models are few-shot learners,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:22.027915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef9e491-725b-4e17-a248-0b14d41e8a8a · outbound

This paper cites Tidybot: Personalized Robot As- sistance with Large Language Models,.

Prompting Robot Teams with Natural Language Tidybot: Personalized Robot As- sistance with Large Language Models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:22.234742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa8380a-7407-4e08-a1cd-1b77055b3948 · outbound

This paper cites SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments.

Prompting Robot Teams with Natural Language SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:22.411452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83098a56-0a92-4f42-8802-4217f9543488 · outbound

This paper cites Open X-embodiment: Robotic Learning Datasets and RT-X Models: Open x-embodiment Collaboration 0,.

Prompting Robot Teams with Natural Language Open X-embodiment: Robotic Learning Datasets and RT-X Models: Open x-embodiment Collaboration 0,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:22.635712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d7e7e83-e385-479b-86d7-f04f8267cf6d · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

Prompting Robot Teams with Natural Language Gemini Robotics: Bringing AI into the Physical World

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:22.794746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac04def-1e7d-4651-9bf5-853e151251bd · outbound

This paper cites Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models.

Prompting Robot Teams with Natural Language Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.009411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2b662e-d402-4e43-ae49-1acc74e25a2b · outbound

This paper cites SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments.

Prompting Robot Teams with Natural Language SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.151187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ff3600-1cb9-4d2e-93f7-85f509776019 · outbound

This paper cites HELM: Human-Preferred Exploration with Language Models.

Prompting Robot Teams with Natural Language HELM: Human-Preferred Exploration with Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.304735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f538087f-e9d4-4ac8-b601-f9f35ea31906 · outbound

This paper cites Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration.

Prompting Robot Teams with Natural Language Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.440920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b58ece4-738f-437f-84fb-5f91822c8284 · outbound

This paper cites Large Language Model Guided Reinforcement Learning Based Six-Degree-of-Freedom Flight Control,.

Prompting Robot Teams with Natural Language Large Language Model Guided Reinforcement Learning Based Six-Degree-of-Freedom Flight Control,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.633012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b88f2ef-8c0a-424b-8142-d64baf09e143 · outbound

This paper cites Air-Ground Collaboration for Language-Specified Missions in Unknown Environments.

Prompting Robot Teams with Natural Language Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.797367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f07030-6024-4239-b486-fd44de865da7 · outbound

This paper cites ZeroCAP: Zero-Shot Multi-Robot Context Aware Pattern Formation via Large Language Models.

Prompting Robot Teams with Natural Language ZeroCAP: Zero-Shot Multi-Robot Context Aware Pattern Formation via Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.863167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1643066-f815-4de3-bcce-ea92e4c6c988 · outbound

This paper cites LUMOS: Language-Conditioned Imitation Learning with World Models.

Prompting Robot Teams with Natural Language LUMOS: Language-Conditioned Imitation Learning with World Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:24.041112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d20c536-29c4-4018-92b0-18e5ccc1e8ef · outbound

This paper cites MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation.

Prompting Robot Teams with Natural Language MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:24.201572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48f3795-591a-49a6-8e3f-bb6c36cc5bb1 · outbound

This paper cites Connecting weighted automata, tensor networks and recurrent neural networks through spectral learn- ing,.

Prompting Robot Teams with Natural Language Connecting weighted automata, tensor networks and recurrent neural networks through spectral learn- ing,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:24.365487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 906d5629-2b19-4973-a8f0-512c4ba4fc02 · outbound

This paper cites Optimal Scene Graph Planning with Large Language Model Guidance,.

Prompting Robot Teams with Natural Language Optimal Scene Graph Planning with Large Language Model Guidance,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:24.542177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b2331b-a72a-44f8-abcc-51e862c81d61 · outbound

This paper cites AutoTAMP: Autoregressive task and motion planning with llms as translators and checkers,.

Prompting Robot Teams with Natural Language AutoTAMP: Autoregressive task and motion planning with llms as translators and checkers,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:24.707562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7574a889-ebc4-4b62-9796-423ce18d3f59 · outbound

This paper cites Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs.

Prompting Robot Teams with Natural Language Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:24.838819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04800163-95f2-40c6-8822-fafd796b8690 · outbound

This paper cites The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games,.

Prompting Robot Teams with Natural Language The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:25.014748Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2b5194a9-b782-405b-88f2-92d4164699ae · 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 Prompting Robot Teams with Natural Language

Reference 104

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:28:39.046316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.