Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T00:51:20.977937Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2607.26120.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T00:51:20.977937Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
80 of 80 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 68b09eaa-e9b9-4228-a05e-7892052ff0e9 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Sage Open , volume=
Reference 1
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Observation caade47d-8db5-4deb-b926-d17bf5653a60 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems The Neuropsychological Basis of Deception , isbn =
Reference 2
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Observation 07092300-9dbd-4bb2-aa5a-0e4579cb6df7 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2025 , eprint=
Reference 3
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Observation 9029474e-6e8b-41a2-96e4-c54192649bc5 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Computers and Games , year=
Reference 4
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Observation d13f2119-7d62-4406-a013-0608aaa7d144 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Mafia: A theoretical study of players and coalitions in a partial information environment , volume=
Reference 5
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Observation cea59bd0-307e-4026-8b27-4dab24eeb954 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2008 , eprint=
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Observation 9d26f3c9-5298-466b-8ccf-fbc2fc76c891 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Everyday deception or a few prolific liars? The prevalence of lies in text messaging , volume =
Reference 7
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Observation cb8f0f2c-2d1d-444d-95bd-bb13d888130b · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Cognitive-load approaches to detect deception: Searching for cognitive mechanisms , volume =
Reference 8
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Observation 2183fe99-de1d-4cb8-a581-59a627ebd255 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems The effect of statement type and repetition on deception detection , volume =
Reference 9
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Observation 085671c1-06ca-41ab-9399-3215a54dce86 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Lie prevalence, lie characteristics and strategies of self-reported good liars
Reference 10
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Observation dd562481-ed6d-4fee-965d-7131502141e1 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Gender Differences in Honesty: The Role of Social Value Orientation , volume =
Reference 11
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Observation 3739a23c-aca1-4b9a-9b7c-2a26091561bd · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Nobody likes a rat: On the willingness to report lies and the consequences thereof
Reference 12
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4438e436-c256-4f0a-b81f-97f230409d04 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Meta‐Analysis of Theory‐of‐Mind Development: The Truth about False Belief , volume =
Reference 13
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Observation d94cc21c-02e4-4f99-b014-e81797ae592d · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Advances in child development and behavior , volume=
Reference 14
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Observation b2e5d68f-f89b-48bc-87ee-c9ec7205e917 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Deception Styles in Deception Games: A Psychological Perspective , volume =
Reference 15
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Observation 8d13ed49-d904-448a-9067-c771c82ba09c · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Plos one , volume=
Reference 16
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Observation 9c2c1e02-8c9c-4b59-b3e2-ffbccc77c4c1 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems arXiv preprint arXiv:2510.15501 , year=
Reference 17
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Observation 3ddfa9af-6242-46c9-afc6-3e673bb525f8 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia
Reference 18
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Observation 3950041e-32a3-4c2f-8295-315214d481aa · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Linguistic Studies: Theory and Practice , year=
Reference 19
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Observation 2046bd5a-cfb1-401e-b1f4-95b39dd84b20 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Scientific Reports , volume=
Reference 20
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Observation cfcc6fde-02c8-4ec8-829b-3211ef641117 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Association for Computational Linguistics: ACL 2023 , year=
Reference 21
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Observation 463d455a-9452-4134-91c8-8726fbab1839 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Proceedings of the 33rd ACM International Conference on Multimedia , pages=
Reference 22
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Observation 265c3f38-112f-4031-9892-a0db2140d62d · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Ethical Considerations of Large Language Models in Game Playing
Reference 23
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Observation d7991f4a-9ab7-435e-be06-216379daaed3 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Deceive, Detect, and Disclose: Large Language Models Play Mini-Mafia
Reference 24
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Observation 3cb49133-ca80-4211-8734-0b288efe0921 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems arXiv preprint arXiv:2512.09187 , year=
Reference 25
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Observation 9246ee90-fbc7-4a75-88e2-d7e6ff72f502 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game
Reference 26
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Observation 18585a22-5ed8-4c90-bf85-0990a2baedef · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems AvalonBench: Evaluating LLMs Playing the Game of Avalon
Reference 27
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Observation 7c24ec0a-7b16-4175-9e18-178acb6d433e · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Advances in Neural Information Processing Systems , volume=
Reference 28
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Observation 4d19343b-bada-4ef0-933b-0773c7bfddbb · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction
Reference 29
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Observation 2b9886b0-0def-4523-be33-b59410f71942 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios
Reference 30
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Observation c1f7c4e4-d739-4fe8-9eec-2dddb8ff1816 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Advances in Neural Information Processing Systems , volume=
Reference 31
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Observation d2a70289-04a0-4e8a-975f-ab3b55d344dd · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game
Reference 32
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Observation ebd4e628-690b-43ac-9377-9eecbeacd8c1 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment , volume=
Reference 33
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Observation ac328de7-7d72-41df-967a-f7d2b31f930f · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2014 , eprint=
Reference 34
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Observation 13aafbc3-5b61-4621-8df8-630a7a68ee31 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems arXiv preprint arXiv:2407.14937 , year=
Reference 35
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Observation 2b38bbf2-0f89-4ae9-97a5-cf391504ee9a · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2024 , eprint=
Reference 36
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Observation ff634ec0-87b9-4832-b114-0dce24d0d4dc · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2022 , eprint=
Reference 37
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Observation 0645f6b6-f509-4e18-b0aa-44ffe56ba668 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
Reference 38
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Observation 8c0812d1-ec47-4d1d-9c93-6422367a0c42 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems I njec A gent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Reference 39
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Observation cd8514f1-e460-4072-a0ac-dafb684db710 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2023 , eprint=
Reference 40
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Observation bb512c75-8f62-4e46-b944-31d088422180 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Advances in Neural Information Processing Systems , volume=
Reference 41
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Observation 1aa731a2-36a4-44e4-85b0-818ff43ed3db · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
Reference 42
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Observation cbdde26c-c822-4154-8f48-b5dcc0516983 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
Reference 43
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Observation 3a8265d5-c1d3-43e6-926f-e7a450d7b949 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
Reference 44
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Observation cb027c41-408f-447f-8fd5-54a79d7df231 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromise
Reference 45
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Observation 2d477d59-f1eb-4e36-8c2f-ef2517b87934 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems arXiv preprint arXiv:2511.05269 , year=
Reference 46
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Observation 773b3310-e45e-4e2a-bada-1eed7cd2b555 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Multi-Agent Systems Execute Arbitrary Malicious Code
Reference 47
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Observation d3ccc87c-573f-41b7-b316-1cb26f989253 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Findings of the Association for Computational Linguistics: ACL 2025 , pages=
Reference 48
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Observation 2bf6f29e-2b1f-45e9-a5d1-bdad848deb26 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 49
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Observation ee97143e-e748-4638-ab40-58c58479a479 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems arXiv preprint arXiv:2507.04724 , year=
Reference 50
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Observation 27f219cb-1084-4895-b312-3b85c5d8d52c · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Reference 51
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Observation fc54ad4e-8fb5-431d-a7db-4bf523d743da · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities
Reference 52
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Observation 9c4fea56-56f1-4573-9edc-c014b46dd919 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Combating Adversarial Attacks with Multi-Agent Debate
Reference 53
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Observation 448f30a6-1b27-4f8c-a839-49195b3463a4 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2024 , eprint=
Reference 54
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Observation a333f119-b519-4813-8df6-651fb27210bd · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V
Reference 55
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Observation d8eac7f9-6d74-4d3c-9e4a-9487d5d471fd · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
Reference 56
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Observation a3df7ab3-fd88-4b4b-97ad-53e64cc46bbe · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2024 , eprint=
Reference 57
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Observation 830a2329-a02a-4805-8333-74d84439e98b · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Advances in neural information processing systems , volume=
Reference 58
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Observation ea846249-10a5-4987-813a-0dbefb7ff20a · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Nature , volume=
Reference 59
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Observation 7b682ac5-46ed-471b-ac05-343110dae1a4 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Qwen3.5: Accelerating Productivity with Native Multimodal Agents , url =
Reference 60
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Observation ccdd60fb-2b5f-405e-801a-379858eba60f · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 61
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Observation bf35c31b-8352-4c96-830e-28165993749e · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems International Conference on Learning Representations , volume=
Reference 62
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Observation e7d431ec-988e-4a83-8e09-93e7486c20dc · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process
Reference 63
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Observation 6666c684-21b1-4bc7-b4e0-94afe17f4afb · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Unresolved cited work
Reference 64
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Observation 2b58ae7c-5d3b-4630-a0b8-eccc2dc0ac0b · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2026 , eprint=
Reference 65
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Observation 5245fa61-114a-4ac8-aadd-31a7f47156ba · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems The leadership quarterly , volume=
Reference 66
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Observation 85f10bca-aa6e-46b8-9a2d-aa6b15450f8f · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 67
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Observation 25640121-a2ad-4eb1-bba7-2c3b647161a9 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Vicinagearth , volume=
Reference 68
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Observation ed90eb10-14eb-437b-ba6d-2c0f48b1234f · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Advances in Neural Information Processing Systems , volume=
Reference 69
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Observation c8ec385d-7667-4974-8359-cde142b867e6 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems and Wiest, Olaf and Zhang, Xiangliang , booktitle =
Reference 70
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Observation b8da0dc0-8da0-4fed-a15f-820955d40a26 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2025 , eprint=
Reference 71
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Observation bdca09b6-80ef-4dc4-a949-d805eee4c545 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems 2015 , eprint=
Reference 72
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Observation 2e6641f5-9e75-4e0d-9526-6b08ff19bed7 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 73
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Observation 5b19a7a8-4af0-4c09-8842-234a1960b6ce · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 74
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Observation 0863194a-8332-4ce4-aa7d-04b6980f06c1 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems The journal of Finance , volume=
Reference 75
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Observation b7647662-2b0f-4900-af88-826706d4c0ec · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Journal of Economic perspectives , volume=
Reference 76
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Observation 34bf9241-5595-44ff-b47a-a192ceaebe85 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Large Language Models (LLM) in Industry: A Survey of Applications, Challenges, and Trends , year=
Reference 77
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Observation 307dd109-81ae-43d3-ac0c-a97dae5bc473 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems The American Economic Review , volume=
Reference 78
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Observation 220a301a-6ed7-464a-8854-cc0ade8bccf4 · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Synthese , volume=
Reference 79
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Observation 18375502-e723-4286-b180-5f89b10315cd · outbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Environmental and Resource Economics , volume=
Reference 80
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No inbound Pith citation observations are available.