Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T11:30:47.877793Z
Paper Citation Record · LEDGER
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
As of 6 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 4 inbound Pith citation observations for arXiv:2506.02546.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T21:18:07.586683Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T20:57:34.696561Z
Reference resolution
74 of 74 outbound references displayed
- verified exact37
- verified fuzzy31
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e83c029c-7fa9-42cf-b48c-fbdbc1d6db8c · outbound
This paper cites Logic and conversation.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Logic and conversation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.198490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d5aee620-bbd6-4897-9101-8dfbd488dac8 · outbound
This paper cites Camel: Communicative agents for" mind" exploration of large language model society.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Camel: Communicative agents for" mind" exploration of large language model society
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.098030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 54258326-fb5f-43b6-855b-11131a447e51 · outbound
This paper cites AgentScope: A Flexible yet Robust Multi-Agent Platform.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems AgentScope: A Flexible yet Robust Multi-Agent Platform
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.202960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 74f77ec8-600e-455c-a0f0-32a1b31779e8 · outbound
This paper cites Large Language Model-Based Agents for Software Engineering: A Survey.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Large Language Model-Based Agents for Software Engineering: A Survey
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.284563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e36160fa-62e7-4986-8f9d-5a8eacd36216 · outbound
This paper cites Metagpt: Meta programming for a multi-agent collaborative framework.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Metagpt: Meta programming for a multi-agent collaborative framework
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.103860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9eeb923e-730a-41cc-b534-f1e14b31a3fc · outbound
This paper cites Planetary Scale Information Transmission in the Biosphere and Technosphere: Limits and Evolution.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Planetary Scale Information Transmission in the Biosphere and Technosphere: Limits and Evolution
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.290212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation db1cc2b3-e247-45b4-a223-2f6b9334f610 · outbound
This paper cites MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.238094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c5ebc780-aadf-46ca-8ec5-6fe2388603b2 · outbound
This paper cites Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.308537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2768b711-5bc0-466f-a10c-765d83ac9219 · outbound
This paper cites Chatgpt research group for optimizing the crystallinity of mofs and cofs.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Chatgpt research group for optimizing the crystallinity of mofs and cofs
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.078345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 14466ac8-9878-4c1c-8ec1-9d51fd19c5cc · outbound
This paper cites MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.320569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f280dfd4-55b5-41db-bd30-591c88eb102a · outbound
This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.356521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c021d5ec-86bf-4dfb-b430-8af76be9e76d · outbound
This paper cites Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.326204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4bc17a46-d09e-42ef-a4c5-2982947c98c6 · outbound
This paper cites Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.403211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2cbe5508-8e49-4172-a78e-72c52801b594 · outbound
This paper cites Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T11:32:17.272823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dfc2409e-3b9e-4efd-a012-6d2338f6f172 · outbound
This paper cites Red-Teaming LLM Multi-Agent Systems via Communication Attacks.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Red-Teaming LLM Multi-Agent Systems via Communication Attacks
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.362841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 25d1a4d1-c78a-4d83-8e16-d9bb1ae8c478 · outbound
This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.426155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 86ba392c-7e56-48aa-8453-6c8a7659fef5 · outbound
This paper cites Agent2agent (a2a) protocol.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Agent2agent (a2a) protocol
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.308006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4a9d12c4-7a56-46e9-a24f-58cbe6e6934f · outbound
This paper cites Knowledge-based Consistency Testing of Large Language Models.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Knowledge-based Consistency Testing of Large Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.375681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 39aa5865-4457-4ceb-8211-aea05c433325 · outbound
This paper cites Towards knowledge checking in retrieval-augmented generation: A representation perspective.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Towards knowledge checking in retrieval-augmented generation: A representation perspective
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.245626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dea6ff51-aa44-4ed8-852e-ba664d880741 · outbound
This paper cites Evaluation of an llm in identifying logical fallacies: A call for rigor when adopting llms in hci research.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Evaluation of an llm in identifying logical fallacies: A call for rigor when adopting llms in hci research
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.295537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6a17fbd4-fe60-41c9-b1c6-3bb5bbae6e62 · outbound
This paper cites Are LLMs Good Zero-Shot Fallacy Classifiers?.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Are LLMs Good Zero-Shot Fallacy Classifiers?
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.397155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5393f4bc-b312-4abb-92cd-b759de1f30c2 · outbound
This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.175365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 592f3775-e7cc-429c-9320-3829b6b3ca95 · outbound
This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.231620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98891d74-f711-49f2-b972-8e3616af3e5c · outbound
This paper cites Shepherd: A Critic for Language Model Generation.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Shepherd: A Critic for Language Model Generation
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.409057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5d7e859a-cfea-426f-aacc-81f6a4f2cf24 · outbound
This paper cites In-context Learning and Induction Heads.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems In-context Learning and Induction Heads
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.296209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4202bd62-c2d9-4d7b-beb3-a6ac69f92f39 · outbound
This paper cites Attention Tracker: Detecting Prompt Injection Attacks in LLMs.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Attention Tracker: Detecting Prompt Injection Attacks in LLMs
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.369840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ed3a0af8-9b98-495b-a1ef-b264678b1046 · outbound
This paper cites On the Role of Attention Heads in Large Language Model Safety.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems On the Role of Attention Heads in Large Language Model Safety
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.349169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ff19b961-2c6c-4c75-a2a8-7de80ebf4151 · outbound
This paper cites Successor Heads: Recurring, Interpretable Attention Heads In The Wild.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Successor Heads: Recurring, Interpretable Attention Heads In The Wild
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.224568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dcd5884d-048b-4c6b-afa6-599c67f3fa35 · outbound
This paper cites TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.278428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 314b81de-1db8-41db-a568-792542c785d7 · outbound
This paper cites A multi-dimensional trust evaluation model for large-scale p2p computing.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems A multi-dimensional trust evaluation model for large-scale p2p computing
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.147369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2dad105b-0377-429f-bd2f-c844acd92b13 · outbound
This paper cites On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.218371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1357d4f7-6800-4732-afc4-7ecded66c203 · outbound
This paper cites NetSafe: Exploring the Topological Safety of Multi-agent Networks.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems NetSafe: Exploring the Topological Safety of Multi-agent Networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.209280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b40cacb2-3408-4491-961f-38bf52cbbbcd · outbound
This paper cites FEVER: a large-scale dataset for fact extraction and VERification.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems FEVER: a large-scale dataset for fact extraction and VERification
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.153442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 30dcfc19-8ac7-4cb1-adda-c08e1c66c6cf · outbound
This paper cites Stereoset: Measuring stereotypical bias in pretrained language models.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Stereoset: Measuring stereotypical bias in pretrained language models
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.240660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cbf1d963-c10b-4e50-89f8-018ef8061e01 · outbound
This paper cites Why do most multi-agent llm systems fail?, March 2025.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Why do most multi-agent llm systems fail?, March 2025
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.168722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 122f18a0-d412-4dd3-8907-aa78f2d2b866 · outbound
This paper cites Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.381468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b0f3a5e1-65aa-4dc6-8853-d11f4654b860 · outbound
This paper cites The Llama 3 Herd of Models.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems The Llama 3 Herd of Models
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.184913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 317806cd-6ee4-4922-b2b5-e02087c97926 · outbound
This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Baseline Defenses for Adversarial Attacks Against Aligned Language Models
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.392020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3811c15b-4fce-40af-af94-5b024e4c88ba · outbound
This paper cites AI Control: Improving Safety Despite Intentional Subversion.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems AI Control: Improving Safety Despite Intentional Subversion
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.342323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 177014df-2b78-4fef-8a7a-b595734e3c19 · outbound
This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Hallucination is Inevitable: An Innate Limitation of Large Language Models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.386148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ef1bce58-14af-41af-ab05-73e7ccb48dd2 · outbound
This paper cites Measuring massive multitask language understanding.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Measuring massive multitask language understanding
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.228627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5838227b-c929-44e3-8f1d-eb9273086662 · outbound
This paper cites Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.235391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f057f022-0a55-40b9-b2ee-a22e73cbae6a · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Measuring Mathematical Problem Solving With the MATH Dataset
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.193143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e3853a24-7d9e-401d-846f-35cca5c99c3b · outbound
This paper cites Let’s verify step by step.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Let’s verify step by step
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.245583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea90519f-93f3-480f-b02f-98bd280f9720 · outbound
This paper cites Program Synthesis with Large Language Models.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Program Synthesis with Large Language Models
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.302157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7a89fbdc-a8cb-494c-be16-b28caf65339c · outbound
This paper cites S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.420662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 85f79573-7c39-4e66-ab8a-a57d4e3607ce · outbound
This paper cites Embodied LLM Agents Learn to Cooperate in Organized Teams.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Embodied LLM Agents Learn to Cooperate in Organized Teams
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.266880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 48e9303f-c0c7-439c-9a37-27e3179db960 · outbound
This paper cites Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.314349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 421e4568-b694-4e48-a0df-c0bc0021ae24 · outbound
This paper cites PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.261092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1653d3ed-85d1-4066-b3a5-9a9abaf869be · outbound
This paper cites MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:32:17.333772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a4c23310-f152-4746-ba84-705057857aef · outbound
This paper cites Qwen2.5 Technical Report.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Qwen2.5 Technical Report
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.414755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34bc7cee-adb2-4110-ba5e-2fc97295a01e · outbound
This paper cites Gemma 3 Technical Report.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Gemma 3 Technical Report
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:32:17.254628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 47e4f65f-5213-48c5-9470-e309f7ecca38 · outbound
This paper cites an unresolved cited work.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T11:32:18.119367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1a0cdea1-d95b-4f18-8af8-8d6bcc8987eb · outbound
This paper cites an unresolved cited work.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T11:32:18.127760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 89ee9adf-a63e-4dac-8ca2-5d9c3bd7c24c · outbound
This paper cites an unresolved cited work.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T11:32:18.132940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2c8bad43-2e3a-4070-847c-055bcccbec95 · outbound
This paper cites an unresolved cited work.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T11:32:18.214907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 60b9b764-758f-4cd9-94cf-424cc9280b50 · outbound
This paper cites an unresolved cited work.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T11:32:18.251574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 795c0a0c-052c-4208-873c-d4d3921b1aed · outbound
This paper cites 17 D Attention analysis on additional models We present additional attention analysis on Qwen2.5-7B [51] and Gemma3-4B [52] to illustrate the generalization of our observation.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems 17 D Attention analysis on additional models We present additional attention analysis on Qwen2.5-7B [51] and Gemma3-4B [52] to illustrate the generalization of our observation
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.088197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8062d356-f9c5-4789-9ac8-832455558fb5 · outbound
This paper cites (2) We develop A-Trust to evaluate the message trustworthiness leveraging the LLM’s attention mechanism.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems (2) We develop A-Trust to evaluate the message trustworthiness leveraging the LLM’s attention mechanism
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.113004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7890309e-fe6e-4e98-ad42-c04f5bc50135 · outbound
This paper cites Limitations.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Limitations
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.082944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5b24edc4-13d3-436e-a6ee-42f5b37e9d18 · outbound
This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not include theoretical results
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.181820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9dd9a394-7119-4a96-b441-d7c3881411d8 · outbound
This paper cites Guidelines: • The answer NA means that the paper does not include experiments.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not include experiments
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.204326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1c6b281a-f481-4e59-9535-cd09b44e06b1 · outbound
This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that paper does not include experiments requiring code
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.333080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f2fe0d1e-194c-4f92-9283-f80607d03783 · outbound
This paper cites Guidelines: • The answer NA means that the paper does not include experiments.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not include experiments
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.301714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c2de3f10-fe92-4d85-beb0-4efc0e086ea0 · outbound
This paper cites Guidelines: • The answer NA means that the paper does not include experiments.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not include experiments
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.313089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 25b12fea-93a5-4e32-8b21-cbd43d1a4c1d · outbound
This paper cites Guidelines: • The answer NA means that the paper does not include experiments.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not include experiments
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.324036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7df686bb-4545-4aca-bc37-d3b26b38d721 · outbound
This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.328616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6c3b84a0-94a5-4818-8912-881a63f29063 · outbound
This paper cites There is no potential negative social impact based on our knowledge.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems There is no potential negative social impact based on our knowledge
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.159884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c6a40093-eba1-4d7c-ae71-c782e2f1b855 · outbound
This paper cites There is no direct way to misuse them for malicious purposes.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems There is no direct way to misuse them for malicious purposes
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.193190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 19c3e8cc-73f5-4623-821d-6ddfda1a958d · outbound
This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not use existing assets
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.210127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6eac43e8-15b9-4f85-adb1-964c1f8d67fc · outbound
This paper cites The description of the dataset can be found in Section 2.1.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems The description of the dataset can be found in Section 2.1
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.139858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dc40825d-c5eb-44a6-9249-36df1d57ad20 · outbound
This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.188372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bd699a12-f676-4c18-ad59-30d8f105a7ee · outbound
This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.319231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 39daf218-040b-45f7-9fa2-de8cdb4495e0 · outbound
This paper cites Answer: [NA] Justification: The core method development in this research does not involve LLMs as any important, original, or non-standard components.
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Answer: [NA] Justification: The core method development in this research does not involve LLMs as any important, original, or non-standard components
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T11:32:18.222412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation be7c2f77-1e40-4e80-8e05-2dbed1c04708 · inbound
BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks cites this paper.
BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T23:41:54.599112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 09eede96-cec1-4678-860a-83710b0e5cb9 · inbound
Subjective-Graph LLM Agents for Simulating Uncertainty in Classroom Social Perception cites this paper.
Subjective-Graph LLM Agents for Simulating Uncertainty in Classroom Social Perception To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T21:18:07.586683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3357d8a-f13b-40d9-93be-ba9d9c86fe5d · inbound
GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems cites this paper.
GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:41:15.008354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6bf9402b-c279-4327-8b45-60adb90a03de · inbound
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems cites this paper.
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T20:57:34.711526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.