Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T19:08:45.818851Z
Paper Citation Record · LEDGER
Learning to Interrupt in Language-based Multi-agent Communication
As of 5 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2604.06452.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T07:38:10.286071Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact17
- verified fuzzy30
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 98ee165d-5d10-4fe6-bdca-a0bf3b9a09e3 · outbound
This paper cites write newline.
Learning to Interrupt in Language-based Multi-agent Communication write newline
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.424063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57babd40-a357-4e8c-a096-ace07bb7ed54 · outbound
This paper cites https://www.anthropic.com/engineering/multi-agent-research-system.
Learning to Interrupt in Language-based Multi-agent Communication https://www.anthropic.com/engineering/multi-agent-research-system
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.421321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 926dab36-6f57-49d1-97af-05b29a6b1da5 · outbound
This paper cites Interruptions and the interpretation of conversation.
Learning to Interrupt in Language-based Multi-agent Communication Interruptions and the interpretation of conversation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.437565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36eb84ed-8978-4293-a709-4879cc315d1e · outbound
This paper cites Why Do Multi-Agent LLM Systems Fail?.
Learning to Interrupt in Language-based Multi-agent Communication Why Do Multi-Agent LLM Systems Fail?
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:42:59.242121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0d1ef41-ab18-47c0-96b5-f0df27058a47 · outbound
This paper cites Chateval: Towards better LLM -based evaluators through multi-agent debate.
Learning to Interrupt in Language-based Multi-agent Communication Chateval: Towards better LLM -based evaluators through multi-agent debate
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.429013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a024894e-6ea9-46a3-a124-df3087e8ce02 · outbound
This paper cites Autoagents: A framework for automatic agent generation.
Learning to Interrupt in Language-based Multi-agent Communication Autoagents: A framework for automatic agent generation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.426667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 93a1ffad-dabd-437f-8aa7-8d98a91b72ca · outbound
This paper cites Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate.
Learning to Interrupt in Language-based Multi-agent Communication Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:25:53.830634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3a194e2f-cfa6-48fa-9002-37860e70f85f · outbound
This paper cites Mechanism design for multi-agent meeting scheduling.
Learning to Interrupt in Language-based Multi-agent Communication Mechanism design for multi-agent meeting scheduling
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.441207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f07494cb-9b30-40d2-a84d-7b02a41068c9 · outbound
This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.
Learning to Interrupt in Language-based Multi-agent Communication Improving Factuality and Reasoning in Language Models through Multiagent Debate
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:01:45.301651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a6016d6-f3fb-465f-a8d1-b625bf04f205 · outbound
This paper cites Alpacafarm: A simulation framework for methods that learn from human feedback.
Learning to Interrupt in Language-based Multi-agent Communication Alpacafarm: A simulation framework for methods that learn from human feedback
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.404761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 27b12289-0739-46de-8e32-76732aec461b · outbound
This paper cites Thinkless: LLM Learns When to Think.
Learning to Interrupt in Language-based Multi-agent Communication Thinkless: LLM Learns When to Think
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:25:53.825958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 881630e7-f221-43be-b74f-118542c356d0 · outbound
This paper cites The Llama 3 Herd of Models.
Learning to Interrupt in Language-based Multi-agent Communication The Llama 3 Herd of Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:25:53.807818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 601cd43f-3e95-4481-bcea-7fbdcaa8dc9e · outbound
This paper cites Large language model based multi-agents: A survey of progress and challenges.
Learning to Interrupt in Language-based Multi-agent Communication Large language model based multi-agents: A survey of progress and challenges
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.440023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5155a18d-90bf-4b3d-b0e9-840e488e363f · outbound
This paper cites Training large language models to reason in a continuous latent space.
Learning to Interrupt in Language-based Multi-agent Communication Training large language models to reason in a continuous latent space
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.417470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 781acf6e-56e9-4a2e-a7b8-1b9646b47c19 · outbound
This paper cites Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead.
Learning to Interrupt in Language-based Multi-agent Communication Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.437491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a5e7f40c-59f5-4f14-840a-0695c7ef58dc · outbound
This paper cites Self-evolving multi-agent collaboration networks for software development.
Learning to Interrupt in Language-based Multi-agent Communication Self-evolving multi-agent collaboration networks for software development
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:42:37.684753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cf13485c-3f32-4740-8b5c-d7f10b8a2a37 · outbound
This paper cites GPT-4o System Card.
Learning to Interrupt in Language-based Multi-agent Communication GPT-4o System Card
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:25:53.815481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d841d2d6-7edd-4e31-bf3a-ef6008e6a655 · outbound
This paper cites C3ot: Generating shorter chain-of-thought without compromising effectiveness.
Learning to Interrupt in Language-based Multi-agent Communication C3ot: Generating shorter chain-of-thought without compromising effectiveness
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.424831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2135d42c-17ef-4de7-93e4-ec4f33a6a5d9 · outbound
This paper cites Debating with more persuasive llms leads to more truthful answers.
Learning to Interrupt in Language-based Multi-agent Communication Debating with more persuasive llms leads to more truthful answers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:42:37.687146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a43dd97a-c822-4dc2-bfe0-a357f1672516 · outbound
This paper cites Codi: Co-evolving contrastive diffusion models for mixed-type tabular synthesis.
Learning to Interrupt in Language-based Multi-agent Communication Codi: Co-evolving contrastive diffusion models for mixed-type tabular synthesis
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:42:37.689822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6948e335-6fe4-4347-a355-42ecf6eb7836 · outbound
This paper cites Improving Multi-Agent Debate with Sparse Communication Topology , booktitle =.
Learning to Interrupt in Language-based Multi-agent Communication Improving Multi-Agent Debate with Sparse Communication Topology , booktitle =
Reference 21
- Resolution
- verified exact
- doi, observed 2026-05-10T19:10:45.093082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce76c828-77b3-417c-aac8-cd88b7cecd3a · outbound
This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.
Learning to Interrupt in Language-based Multi-agent Communication Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T00:00:16.565169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0f6b636-1db1-4220-93ab-21c9b039e7a8 · outbound
This paper cites Dynamic llm-agent network: An llm-agent collaboration framework with agent team optimization.
Learning to Interrupt in Language-based Multi-agent Communication Dynamic llm-agent network: An llm-agent collaboration framework with agent team optimization
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.412476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da7e8390-8840-4930-aa9d-947112f0e590 · outbound
This paper cites Conversation, politeness, and interruption.
Learning to Interrupt in Language-based Multi-agent Communication Conversation, politeness, and interruption
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.433548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ceb67e37-5bf0-4fa3-ac1d-f65bc6cacc7b · outbound
This paper cites Interruption and influence in discussion groups.
Learning to Interrupt in Language-based Multi-agent Communication Interruption and influence in discussion groups
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.444515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 10131305-243c-403a-a243-8dd1e01a8558 · outbound
This paper cites Openclaw.
Learning to Interrupt in Language-based Multi-agent Communication Openclaw
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.431124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5aac8694-54eb-4827-8ec9-4ff9b5028bc2 · outbound
This paper cites Generative agents: Interactive simulacra of human behavior.
Learning to Interrupt in Language-based Multi-agent Communication Generative agents: Interactive simulacra of human behavior
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.461798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation efe1a8a9-5e17-4058-a206-3ab20910e469 · outbound
This paper cites Scaling large language model-based multi-agent collaboration.
Learning to Interrupt in Language-based Multi-agent Communication Scaling large language model-based multi-agent collaboration
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:42:37.682067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7af4589f-d8a4-49bf-9d55-0a0efb559975 · outbound
This paper cites Concise: Confidence-guided compression in step-by-step efficient reasoning.
Learning to Interrupt in Language-based Multi-agent Communication Concise: Confidence-guided compression in step-by-step efficient reasoning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:25:53.786540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d2b7ebe1-8d6b-48dc-9df9-5f23a6984d1a · outbound
This paper cites Multi-agent meeting scheduling: A negotiation perspective.
Learning to Interrupt in Language-based Multi-agent Communication Multi-agent meeting scheduling: A negotiation perspective
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.409727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0dee787c-287c-4710-ab61-e75c5f3f21ae · outbound
This paper cites Coding theorems for a discrete source with a fidelity criterion.
Learning to Interrupt in Language-based Multi-agent Communication Coding theorems for a discrete source with a fidelity criterion
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.429352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation add43bd7-216b-4811-a522-c2aa968ebfda · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Learning to Interrupt in Language-based Multi-agent Communication Gemini: A Family of Highly Capable Multimodal Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:25:53.780337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d81c0721-a500-47d1-a56c-16bcd0982fc4 · outbound
This paper cites Kimi K2.5: Visual Agentic Intelligence.
Learning to Interrupt in Language-based Multi-agent Communication Kimi K2.5: Visual Agentic Intelligence
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:25:53.740626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 66438047-eca0-4bb4-84b2-6694b11f181c · outbound
This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.
Learning to Interrupt in Language-based Multi-agent Communication Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:54:55.141401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bdc072b7-e456-4613-a1db-3f96d0937446 · outbound
This paper cites Beyond turn-based interfaces: Synchronous llms as full-duplex dialogue agents.
Learning to Interrupt in Language-based Multi-agent Communication Beyond turn-based interfaces: Synchronous llms as full-duplex dialogue agents
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.453574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation be02165e-5ce4-41ea-befe-c5b9c28ec921 · outbound
This paper cites Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.
Learning to Interrupt in Language-based Multi-agent Communication Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:25:53.758955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 257fc655-8afa-464e-b1af-32aaa8c104f3 · outbound
This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.
Learning to Interrupt in Language-based Multi-agent Communication Mmlu-pro: A more robust and challenging multi-task language understanding benchmark
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.402042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 08955207-feed-4880-8b44-7e202015ef22 · outbound
This paper cites A gent D ropout: Dynamic agent elimination for token-efficient and high-performance LLM -based multi-agent collaboration.
Learning to Interrupt in Language-based Multi-agent Communication A gent D ropout: Dynamic agent elimination for token-efficient and high-performance LLM -based multi-agent collaboration
Reference 38
- Resolution
- verified exact
- doi, observed 2026-05-10T19:10:45.091256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 001e78a9-399a-49ea-ade6-0c31b5ce76b9 · outbound
This paper cites Tokenskip: Controllable chain-of-thought compression in llms.
Learning to Interrupt in Language-based Multi-agent Communication Tokenskip: Controllable chain-of-thought compression in llms
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.447381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation de1553ad-53fe-445f-b278-4c878f3d80e5 · outbound
This paper cites Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf.
Learning to Interrupt in Language-based Multi-agent Communication Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:25:53.724112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cfeea46a-d084-491d-a478-2638013f955c · outbound
This paper cites Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems.
Learning to Interrupt in Language-based Multi-agent Communication Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-27T02:04:27.865242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b7d00e21-e9fb-4da8-b37a-e356d254d14b · outbound
This paper cites Exchange-of-thought: Enhancing large language model capabilities through cross-model communication.
Learning to Interrupt in Language-based Multi-agent Communication Exchange-of-thought: Enhancing large language model capabilities through cross-model communication
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.451523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 00bf0861-0530-4255-b047-6d49da90b78d · outbound
This paper cites Cut the crap: An economical communication pipeline for LLM -based multi-agent systems.
Learning to Interrupt in Language-based Multi-agent Communication Cut the crap: An economical communication pipeline for LLM -based multi-agent systems
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.455691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 27aeef04-a951-4db2-9039-0a4cf968b9c1 · outbound
This paper cites Beyond the turn-based game: Enabling real-time conversations with duplex models.
Learning to Interrupt in Language-based Multi-agent Communication Beyond the turn-based game: Enabling real-time conversations with duplex models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.449519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 82d3e24e-499e-41a8-97e5-77f066be08e8 · outbound
This paper cites Chain of agents: Large language models collaborating on long-context tasks.
Learning to Interrupt in Language-based Multi-agent Communication Chain of agents: Large language models collaborating on long-context tasks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.459894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e3f84698-33d2-44e5-9f24-aed5a9073c27 · outbound
This paper cites NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.
Learning to Interrupt in Language-based Multi-agent Communication NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:25:53.687359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c6de8881-5808-41b3-8d3f-5cf78b6f36af · outbound
This paper cites arXiv preprint arXiv:2502.02533 , year=.
Learning to Interrupt in Language-based Multi-agent Communication arXiv preprint arXiv:2502.02533 , year=
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:25:53.768952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7195f635-e8d6-4222-b9b1-b1f26c3e49c5 · outbound
This paper cites Language Agents as Optimizable Graphs.
Learning to Interrupt in Language-based Multi-agent Communication Language Agents as Optimizable Graphs
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:25:53.732225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec5c7dc4-4ece-4be2-a827-24c0b711fba8 · outbound
This paper cites @esa (Ref.
Learning to Interrupt in Language-based Multi-agent Communication @esa (Ref
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:40:47.457889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation edfa8970-bf98-4c47-9fdb-73b90d3daef8 · outbound
This paper cites an unresolved cited work.
Learning to Interrupt in Language-based Multi-agent Communication Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:40:47.398592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3af91ffa-0e65-4d99-ac65-1b536eddbfb0 · outbound
This paper cites Most results are obtained on an NVIDIA RTX 4090 GPU, while experiments involving ViT-L/14 are performed on an NVIDIA RTX A6000 GPU.
Learning to Interrupt in Language-based Multi-agent Communication Most results are obtained on an NVIDIA RTX 4090 GPU, while experiments involving ViT-L/14 are performed on an NVIDIA RTX A6000 GPU
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:25:53.821004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation e23069f0-63e0-417d-b060-fd20fef93732 · inbound
AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration cites this paper.
AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration Learning to Interrupt in Language-based Multi-agent Communication
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T07:38:10.286071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.