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Paper Citation Record · LEDGER

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context

As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.03546.

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

pith.paper-citation-record.v1
2506.03546 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:22.562818Z

measured 56 of 56 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 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

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved22
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0aea5390-4491-4781-a9f0-5d4e2cbecb5c · outbound

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

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Language models are few-shot learners,

Reference 1

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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.

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Observation 794ed3b0-8ad3-4f28-adfb-06886b719aa6 · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges,

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.066313Z digest=sha256:b8f580c626287921823f60993b92c5eddc9cb73dd2b29505578f3cdc619e23d8

Observation a4a2e435-5914-40af-b5b2-2cf6982b1871 · outbound

This paper cites Accessed: 2025-05-02.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Accessed: 2025-05-02

Reference 3

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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.

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Observation 46a5aeac-19d4-47dc-a952-227da7c73f9c · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 4

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source=pdf_text observed=2026-08-07T11:05:22.086861Z digest=sha256:030779f0834b91ca05ad152b52d48b200017420b6954b20c60b16e34b3d19e99

Observation b30d7e22-ce01-49c9-8636-6e74ddecbd12 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context ChatDev: Communicative Agents for Software Development

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.095176Z digest=sha256:6d149ea32113a5ad4f38ebd276b172a61ba21e8bd4e7808d48df95c956e81416

Observation ce48bcdc-efc7-4906-a7ff-e3ede87fdf76 · outbound

This paper cites Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.111620Z digest=sha256:628cedbb4f2272f75dabd6163f5f8ca1d95c99ef49febd6fd3a61c36161d9bbb

Observation 9ef59085-72d7-4c15-b7a8-333ec910d528 · outbound

This paper cites Simulating Classroom Education with LLM-Empowered Agents.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Simulating Classroom Education with LLM-Empowered Agents

Reference 7

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source=pdf_text observed=2026-08-07T11:05:22.127834Z digest=sha256:22b2d0e4a1797d8edcec6247ba538a0e44a998818db5f627132e74efef485bf2

Observation d698a9eb-99f6-4638-9e90-2a1bb36c516d · outbound

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

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Roco: Dialectic multi-robot collaboration with large language models,

Reference 8

Resolution
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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.

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Observation dcca3c06-2cb1-41a8-bdb6-8e1ca0490855 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 9

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source=pdf_text observed=2026-08-07T11:05:22.139492Z digest=sha256:991dd428fd3b0f8feec3f360c23cfb5bac3521fdc662e94a4af5233840283d35

Observation ae4e6e13-af8f-455b-932e-4f63e54acade · outbound

This paper cites Hospitals of the future: Designing interactive robotic systems for resilient emergency departments,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Hospitals of the future: Designing interactive robotic systems for resilient emergency departments,

Reference 10

Resolution
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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.

source=pdf_text observed=2026-08-07T11:05:22.145983Z digest=sha256:237e9ad6f10a66395d7f196b6e086525d7959289b0ae5b2b8cf3bffa6b4d0da5

Observation 28db9635-22a3-4cd7-b8bf-25f61dfbada8 · outbound

This paper cites Rapidly built medical crash cart! lessons learned and impacts on high-stakes team collaboration in the emergency room,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Rapidly built medical crash cart! lessons learned and impacts on high-stakes team collaboration in the emergency room,

Reference 11

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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.

source=pdf_text observed=2026-08-07T11:05:22.159488Z digest=sha256:3a9b5b54480b9b3d167c48d94f2d7281e66ca550c8c7d64f3f09d45b1286fc43

Observation a7c3c0ca-62e4-4664-a84f-2fdd715966b5 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Chain-of-thought prompting elicits reasoning in large language models,

Reference 12

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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.

source=pdf_text observed=2026-08-07T11:05:22.172986Z digest=sha256:a825bc2585e66cc328f99de42f4105d5941ac541e57547b5eb820b68a8e23ddd

Observation e9e8b77c-d732-4000-9e9e-1f20640590fe · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Reflexion: Language agents with verbal reinforcement learning,

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.189928Z digest=sha256:2d31651fa5674c61a6cc91c3fa94f3a50ac2203f1ebccfb5d270bfafcbeb9475

Observation ca1e4969-d346-41f9-8c03-fa9da389bbf0 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Toolformer: Language models can teach themselves to use tools,

Reference 14

Resolution
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raw_fallback, observed 2026-08-07T11:05:24.348584Z

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.

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Observation 79ea35fb-f23c-42c1-92c2-aeaa5831f7c7 · outbound

This paper cites Llm-based multi-agent sys- tems for software engineering: Literature review, vision and the road ahead,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Llm-based multi-agent sys- tems for software engineering: Literature review, vision and the road ahead,

Reference 15

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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.

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Observation 4974a0bd-bfa1-4af3-a61b-a2de95838b1f · outbound

This paper cites Improvingfactualityandreasoninginlanguagemodelsthrough multiagent debate,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Improvingfactualityandreasoninginlanguagemodelsthrough multiagent debate,

Reference 16

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

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Observation 8fd76e65-4174-4054-a909-fd102d2949e3 · outbound

This paper cites Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.234548Z digest=sha256:b205f06538aa82b36b388d9a3f2a2052216d1bca84015ccb3e50952b09d9a943

Observation ee431c0e-abb8-49aa-8c47-0b9f67830b80 · outbound

This paper cites Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 18

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source=pdf_text observed=2026-08-07T11:05:22.252022Z digest=sha256:ed4ea51ed59059c4be736bdf00184ccfb02bfae26ab92e682216b2618098daa4

Observation 60c034e5-2452-48d4-b789-18af120ad3a0 · outbound

This paper cites Delegating responsibility benefits or- ganizations).

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Delegating responsibility benefits or- ganizations)

Reference 19

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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.

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Observation e06bd83d-eff7-44ed-ab4e-de6e6fa7f8a2 · outbound

This paper cites Organization design: An information process- ing view,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Organization design: An information process- ing view,

Reference 20

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

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Observation 5a8b6839-d881-4f66-b69f-f302c7040cdb · outbound

This paper cites On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 21

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source=pdf_text observed=2026-08-07T11:05:22.275643Z digest=sha256:8189c1adef3f2f2f42782729954711930cedb56277510be13a70df92236e38ee

Observation b403ddef-ec93-4379-a714-5085ed69b3e9 · outbound

This paper cites A scop- ing review exploring the impact and negotiation of hierarchy in healthcare organisations,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context A scop- ing review exploring the impact and negotiation of hierarchy in healthcare organisations,

Reference 22

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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.

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Observation 6627917c-4638-4fd2-b083-09029c5b155e · outbound

This paper cites Coordinating clinical teams: Using robots to empower nurses to stop the line,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Coordinating clinical teams: Using robots to empower nurses to stop the line,

Reference 23

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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.

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Observation 668737b6-0237-45f9-a662-fdabcc6548b0 · outbound

This paper cites Towards col- laborative crash cart robots that support clinical teamwork,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Towards col- laborative crash cart robots that support clinical teamwork,

Reference 24

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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.

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Observation ceba705c-5566-4b3d-8a77-03b77d9afc3e · outbound

This paper cites Decision-making under pressure: medical errors in uncertain and dynamic environments,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Decision-making under pressure: medical errors in uncertain and dynamic environments,

Reference 25

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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.

source=pdf_text observed=2026-08-07T11:05:22.326289Z digest=sha256:845f858bc496031a0a1c5f0e4e7940b96d6385b3cc78d89c7bedf36586999218

Observation 52b64223-a359-4eb1-bccf-2d81b2b4db09 · outbound

This paper cites Why do multiagent systems fail?,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Why do multiagent systems fail?,

Reference 26

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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.

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Observation e17a8712-cd7c-48e4-be75-aeeee20155c4 · outbound

This paper cites Knowledge - what is knowledge in crewai and how to use it.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Knowledge - what is knowledge in crewai and how to use it

Reference 27

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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.

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Observation e3e37480-7dbe-4fb0-9131-de8b3afc8740 · outbound

This paper cites Umcp: A sound and complete procedure for hierarchical task-network planning.,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Umcp: A sound and complete procedure for hierarchical task-network planning.,

Reference 28

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raw_fallback, observed 2026-08-07T11:05:24.111889Z

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.

source=pdf_text observed=2026-08-07T11:05:22.346583Z digest=sha256:48148c1a55eed7623ffaea3e24a78315d141c86cac8450a8ca5b848ccfe9a615

Observation 9a287ff5-f24e-43fc-808d-cdf5095131ff · outbound

This paper cites Hierarchical planning: Relating task and goal decompo- sition with task sharing.,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Hierarchical planning: Relating task and goal decompo- sition with task sharing.,

Reference 29

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raw_fallback, observed 2026-08-07T11:05:24.051769Z

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.

source=pdf_text observed=2026-08-07T11:05:22.351611Z digest=sha256:e80b1a3982b737fcec4b6e5cac380f7aeb9e383a8f45b2523645c4c28b66d938

Observation 7e7c57e6-4c80-4ec8-be95-9169c204cadc · outbound

This paper cites Hierarchical reinforcement learning: A comprehensive survey,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Hierarchical reinforcement learning: A comprehensive survey,

Reference 30

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raw_fallback, observed 2026-08-07T11:05:24.006796Z

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.

source=pdf_text observed=2026-08-07T11:05:22.358972Z digest=sha256:311aab90564358343fcaf92ca190cad9e44103735d710016004c795949aa9d78

Observation 18c17678-b136-437a-a235-a6c13a3a79db · outbound

This paper cites Coordinated Multi-Robot Navigation with Formation Adaptation.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Coordinated Multi-Robot Navigation with Formation Adaptation

Reference 31

Resolution
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local_arxiv, observed 2026-08-07T11:05:23.233475Z

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.

source=pdf_text observed=2026-08-07T11:05:22.366022Z digest=sha256:5d206cbbd47356477dc0cc9a0a2eea2df01cb50973be339547011ee1692defa2

Observation 1004a88c-79fa-4a81-ba32-28e1ca5dab92 · outbound

This paper cites Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.371773Z digest=sha256:d4647fee4a584b82df9ba7f11b44bcf0226dfba8c2a1646a11c0561bf8736287

Observation 36dec07c-bf19-4783-9c20-044e66741452 · outbound

This paper cites COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models

Reference 33

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no resolver link, observed 2026-08-07T11:05:22.377540Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.377540Z digest=sha256:7d4a578f35c130ac4d866bbae1428e0bad711c92d208af50595e28940c22f94e

Observation 9e468929-ec79-4e89-89e5-d978fd1e923d · outbound

This paper cites HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale

Reference 34

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no resolver link, observed 2026-08-07T11:05:22.385418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.385418Z digest=sha256:90aeaabe9319e40d0e1bc97fc1408851453e847ad0ac8f50b900b5364998fe69

Observation bf08a241-c5e3-4f44-959d-52709e8348d3 · outbound

This paper cites Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems

Reference 35

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source=pdf_text observed=2026-08-07T11:05:22.392106Z digest=sha256:23eeb97676fb75dba65c2162e12b40a84855fe12dbc9a0ba8cd64a62b16c6702

Observation 4dd12b97-eb69-4212-a0c6-4ffcf7ab180a · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.973233Z

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.

source=pdf_text observed=2026-08-07T11:05:22.398711Z digest=sha256:267f55adf107d45016834b665287ad8d096b537b524bc5a43c1a0ba7252cba6b

Observation 6b30ab77-7fa3-4fd5-a3ef-37bcfaa3d691 · outbound

This paper cites Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Reference 37

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no resolver link, observed 2026-08-07T11:05:22.406174Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:05:22.406174Z digest=sha256:80d3064d1c1f486c08b546952b5e54349b84165a457d5c3e7043e24cec7ebe8d

Observation 4a132835-b69d-4dac-a6b5-9c45fea67eee · outbound

This paper cites A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 38

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no resolver link, observed 2026-08-07T11:05:22.418138Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:05:22.418138Z digest=sha256:9046314090872df80298e0203c6aca006cdd8c0a4535d40211e3da5e45080c84

Observation 4361d7dc-9f4a-4e53-9de3-ec7c721cf1b6 · outbound

This paper cites Ma-rag: Multi- agent retrieval-augmented generation via collaborative chain-of- thought reasoning,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Ma-rag: Multi- agent retrieval-augmented generation via collaborative chain-of- thought reasoning,

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:05:22.424254Z digest=sha256:2cdda0060d456b4f44eaebe7a37314c6b0aa44e3a4c67ff88188a25d4f40cb6a

Observation 6e323cab-b37c-487f-8306-10d0be9aaadf · outbound

This paper cites Langchain.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Langchain

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.939402Z

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.

source=pdf_text observed=2026-08-07T11:05:22.432212Z digest=sha256:5ab5e3df854fac38dcd9e3853047c7799dea21d823a797a6e86190d78ed370f7

Observation 711c10ae-145e-4a33-a9f8-dd87eb56607a · outbound

This paper cites Accessed: 2025-05-02.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Accessed: 2025-05-02

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.902453Z

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.

source=pdf_text observed=2026-08-07T11:05:22.440538Z digest=sha256:5430195fb57d403d6df634c1cbc19eca2ceaae20be0829033bccc18d228a56a0

Observation 71d428e4-bdcb-4ab9-8b79-50270f9653c2 · outbound

This paper cites Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things

Reference 42

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no resolver link, observed 2026-08-07T11:05:22.446088Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:05:22.446088Z digest=sha256:cc18e591b44416a1a77b1af8cde7e242c9409414ed994f94c5f7c1072f1c2db4

Observation 3cc4001b-cd0a-436c-aecf-03b6ad85f619 · outbound

This paper cites Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 43

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no resolver link, observed 2026-08-07T11:05:22.452219Z

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source=pdf_text observed=2026-08-07T11:05:22.452219Z digest=sha256:890145fbf7f0a3fb5daf63dbc5c26aac27ff49f6468f8dd61f1e00ecae4f4fce

Observation d211e30f-0065-4469-afb6-035f09c7cc58 · outbound

This paper cites Navigation bench- marking for autonomous mobile robots in hospital environ- ment,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Navigation bench- marking for autonomous mobile robots in hospital environ- ment,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.881281Z

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.

source=pdf_text observed=2026-08-07T11:05:22.458877Z digest=sha256:2edbbeec8079703070b1b3263e414e4f0b41a7561b56f359a8ee4e984e7b1d14

Observation e899f661-6258-483e-841d-c1210885a128 · outbound

This paper cites Tools - understanding and leveraging tools within the crewai framework for agent collaboration and task execution.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Tools - understanding and leveraging tools within the crewai framework for agent collaboration and task execution

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.848599Z

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.

source=pdf_text observed=2026-08-07T11:05:22.471991Z digest=sha256:f06b692a531bf9d592a6fad2dbcf231923313205ae92c812cae0b5c92b7ab88f

Observation bcdd52c4-0fe9-4836-bf5d-5c02a34786c4 · outbound

This paper cites PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC

Reference 46

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no resolver link, observed 2026-08-07T11:05:22.479426Z

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source=pdf_text observed=2026-08-07T11:05:22.479426Z digest=sha256:6cda1299c12f6e360a7906506a0b752c2886e3e1f27057ba4328da2af2ce8a34

Observation b3a75dca-c668-43d0-931e-e5c635d9d772 · outbound

This paper cites Agentops.ai.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Agentops.ai

Reference 47

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raw_fallback, observed 2026-08-07T11:05:23.818730Z

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.

source=pdf_text observed=2026-08-07T11:05:22.485220Z digest=sha256:1745270135e25c4fb21c39bebc50c1393413f45321d9b228d0c41a6382504d23

Observation 05246e21-d749-4008-bda0-1dd2c2d2303e · outbound

This paper cites Openai’s 5 levels of ‘super ai’ (agi to outperform human capability).

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Openai’s 5 levels of ‘super ai’ (agi to outperform human capability)

Reference 48

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raw_fallback, observed 2026-08-07T11:05:23.798985Z

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.

source=pdf_text observed=2026-08-07T11:05:22.490523Z digest=sha256:6f7e51bfa7d532971398e0cfbf910c5f3e89c3206c433d1d6a6022790f0d2a8b

Observation 719c9192-e838-49e9-8daa-e7a57bf35964 · outbound

This paper cites Language grounded multi-agent reinforcement learning with human-interpretable communication,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Language grounded multi-agent reinforcement learning with human-interpretable communication,

Reference 49

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raw_fallback, observed 2026-08-07T11:05:23.752660Z

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.

source=pdf_text observed=2026-08-07T11:05:22.501711Z digest=sha256:ef8f080b7d1368643d473aec14f8c81007d37eec83433022d64fb7e3703adbb8

Observation c8224e94-42af-48df-b20d-62155299bb8c · outbound

This paper cites The dynamics of reinforcement learning in cooperative multiagent systems,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context The dynamics of reinforcement learning in cooperative multiagent systems,

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.727051Z

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.

source=pdf_text observed=2026-08-07T11:05:22.510786Z digest=sha256:84d73db5646d94947205ebe23bc513146c3032e6c7778bb245f7a5eeed18267f

Observation 8ebe0ff7-0c27-46a3-8e56-958debc7e8f8 · outbound

This paper cites LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions

Reference 51

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source=pdf_text observed=2026-08-07T11:05:22.527201Z digest=sha256:466eab222ced95733534c89565efa02f5d4e7cb80f327c93772b478d86d01d30

Observation 500b568b-a172-4148-9877-ce3446762942 · outbound

This paper cites Supervised learning-a systematic literature review,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Supervised learning-a systematic literature review,

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.706874Z

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.

source=pdf_text observed=2026-08-07T11:05:22.549517Z digest=sha256:9a0ac0ef2e36dad015836002d8afdfa8963e4ceefd9393c218c4a3be5363b32c

Observation 14eba27d-10d9-4057-98b8-ababa8d9ee51 · outbound

This paper cites A review of multi-agent reinforcement learning algorithms,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context A review of multi-agent reinforcement learning algorithms,

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.660597Z

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.

source=pdf_text observed=2026-08-07T11:05:22.554072Z digest=sha256:44d669256ff53d60f7b32461ad7c8c3684c0137322f175159ff6e79ad699b195

Observation b20494c2-3c0f-4e15-a05a-6b5be0bdf2d1 · outbound

This paper cites Chatgpt for robotics: Design principles and model abilities,.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Chatgpt for robotics: Design principles and model abilities,

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-07T11:05:23.634216Z

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.

source=pdf_text observed=2026-08-07T11:05:22.558425Z digest=sha256:f9d23d59d9e18e374904d1e6ca34e54570f0ab78f995509621da4651127baf04

Observation 868dbaa2-c0d3-49b8-b2c4-b2c3d3afb302 · outbound

This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context HealthBench: Evaluating Large Language Models Towards Improved Human Health

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.562818Z digest=sha256:88f7778b5fa63ed4f31c00d370f444a926f9cbe138a4bb495cfc37ccc516d79e

Observation a3e6d3a1-4e67-4acc-bcd6-a167c4365145 · outbound

This paper cites an unresolved cited work.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Unresolved cited work

Reference 2024

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parse uncertain
raw_fallback, observed 2026-08-07T11:05:23.781220Z

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.

source=pdf_text observed=2026-08-07T11:05:22.496024Z digest=sha256:718f532dbc34cb908d7c3c9a8ac1116c63e96df5d97599ef5dfe8ac85899baf0

Pith citing papers

No inbound Pith citation observations are available.