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Paper Citation Record · LEDGER

AI Agent Behavioral Science

As of 9 August 2026, this Paper Citation Record lists 100 of 196 outbound references and 3 inbound Pith citation observations for arXiv:2506.06366.

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

pith.paper-citation-record.v1
2506.06366 v3

Coverage vector

measured 100 of 196 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:00:53.750838Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:57.931702Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

100 of 196 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9705055-00e1-4ab5-99b5-af0fc5d96764 · outbound

This paper cites Coopera- tion, competition, and maliciousness: Llm-stakeholders interactive negotiation.Advances in Neural Information Processing Systems, 37:83548–83599, 2024.

AI Agent Behavioral Science Coopera- tion, competition, and maliciousness: Llm-stakeholders interactive negotiation.Advances in Neural Information Processing Systems, 37:83548–83599, 2024

Reference 1

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source=pdf_text observed=2026-08-07T11:00:53.262552Z digest=sha256:12ac1162bb1893b32cfb1ede92467e046f7a70466bb1e516effa929de8f6dd22

Observation 4619b45a-8d8f-4ec3-87c1-7d630d125c07 · outbound

This paper cites Large language models show human-like content biases in transmission chain experiments.Proceedings of the National Academy of Sciences, 120(44):e2313790120, 2023.

AI Agent Behavioral Science Large language models show human-like content biases in transmission chain experiments.Proceedings of the National Academy of Sciences, 120(44):e2313790120, 2023

Reference 2

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Observation 851ea83e-3feb-425c-ae29-da8661cf55e5 · outbound

This paper cites Playing repeated games with Large Language Models.

AI Agent Behavioral Science Playing repeated games with Large Language Models

Reference 3

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source=pdf_text observed=2026-08-07T11:00:53.274854Z digest=sha256:5fcc4b188b5eda52bb380c4d340876b077c7192070151f98004c694f9a2b02ad

Observation d6461f96-66ad-4f5b-974a-e63c11b9de1c · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022.

AI Agent Behavioral Science Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022

Reference 4

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source=pdf_text observed=2026-08-07T11:00:53.281400Z digest=sha256:7379ae7327e630b21f311d397f1491aec5893264ba4dab90617583ce7cf41678

Observation d83c74a7-3863-4eac-86a7-e2023a61a1a7 · outbound

This paper cites Characterizing the role of bots’ in polarized stance on social media.Social Network Analysis and Mining, 12(1):30, 2022.

AI Agent Behavioral Science Characterizing the role of bots’ in polarized stance on social media.Social Network Analysis and Mining, 12(1):30, 2022

Reference 5

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source=pdf_text observed=2026-08-07T11:00:53.287229Z digest=sha256:e77c3ff64e2da6413094c5f0906e7eb4fc92657a90f9dff612f888f2238089e0

Observation ec12c66b-50db-47dd-aa2f-f2d907b0bdac · outbound

This paper cites Investigating Cultural Alignment of Large Language Models.

AI Agent Behavioral Science Investigating Cultural Alignment of Large Language Models

Reference 6

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source=pdf_text observed=2026-08-07T11:00:53.292375Z digest=sha256:81347d64054012c10aa8dda5be60a8213c5226a3541576ed43f7eee9a135f570

Observation e669799f-6b5e-4c36-a8fd-f7011e9720ec · outbound

This paper cites Direct Preference Optimization with an Offset.

AI Agent Behavioral Science Direct Preference Optimization with an Offset

Reference 7

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source=pdf_text observed=2026-08-07T11:00:53.302553Z digest=sha256:c6fcf1f47d3bbfc03419b17e3f4a93a02a683575763d5806de40d24988555a14

Observation cf145b7f-e214-473a-8f35-9b7e3e6a6121 · outbound

This paper cites Embodied cognition: A field guide.Artificial intelligence, 149(1):91– 130, 2003.

AI Agent Behavioral Science Embodied cognition: A field guide.Artificial intelligence, 149(1):91– 130, 2003

Reference 8

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source=pdf_text observed=2026-08-07T11:00:53.308292Z digest=sha256:20e5b791a7b4e20f5835a1cf7f6427c843557419c233bf259f76fe65e34c2c64

Observation 80969970-613f-4ae8-8042-06e304dba322 · outbound

This paper cites The moral machine experiment.Nature, 563(7729):59–64, 2018.

AI Agent Behavioral Science The moral machine experiment.Nature, 563(7729):59–64, 2018

Reference 9

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Observation 216ec829-4573-4c7e-9e80-1bf76cc5db30 · outbound

This paper cites Explicitly un- biased large language models still form biased associations.Proceedings of the National Academy of Sciences, 122(8):e2416228122, 2025.

AI Agent Behavioral Science Explicitly un- biased large language models still form biased associations.Proceedings of the National Academy of Sciences, 122(8):e2416228122, 2025

Reference 10

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Observation ef48afea-5d0e-49c8-bbeb-4f874f625408 · outbound

This paper cites Emergent Tool Use From Multi-Agent Autocurricula.

AI Agent Behavioral Science Emergent Tool Use From Multi-Agent Autocurricula

Reference 11

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source=pdf_text observed=2026-08-07T11:00:53.331363Z digest=sha256:b6c13366d3a9184e4d2f369905e2d0338ea0b506221b98f666aa392d87af2009

Observation 1cbe9cad-3a9b-401c-b824-c99d1a9c84de · outbound

This paper cites Miller, Sandra Mitts, Adithya Renduchintala, Stephen Roller, Dirk Rowe, Weiyan Shi, Joe Spisak, Alexander Wei, David J.

AI Agent Behavioral Science Miller, Sandra Mitts, Adithya Renduchintala, Stephen Roller, Dirk Rowe, Weiyan Shi, Joe Spisak, Alexander Wei, David J

Reference 12

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source=pdf_text observed=2026-08-07T11:00:53.336431Z digest=sha256:0ceb4ffc9cdc62c9abc2f9babedbf58d8b003d7673c79934f956ad426bf92085

Observation ea037c8c-863e-4f66-ab9e-602a21c98962 · outbound

This paper cites Social cognitive theory: An agentic perspective.Annual review of psychol- ogy, 52(1):1–26, 2001.

AI Agent Behavioral Science Social cognitive theory: An agentic perspective.Annual review of psychol- ogy, 52(1):1–26, 2001

Reference 13

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Observation 86ae5dad-8856-4daf-b3e7-9af72ca9eb40 · outbound

This paper cites Preventing Rogue Agents Improves Multi-Agent Collaboration.

AI Agent Behavioral Science Preventing Rogue Agents Improves Multi-Agent Collaboration

Reference 14

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Observation 94d052a4-0642-4b3f-b7eb-b4c798304b92 · outbound

This paper cites Multi-Agent Large Language Models for Conversational Task-Solving.

AI Agent Behavioral Science Multi-Agent Large Language Models for Conversational Task-Solving

Reference 15

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Observation 47f75d80-186a-4462-9d66-d2c179b03936 · outbound

This paper cites Reflective multi-agent collaboration based on large language models.Advances in Neural Information Processing Systems, 37:138595–138631, 2024.

AI Agent Behavioral Science Reflective multi-agent collaboration based on large language models.Advances in Neural Information Processing Systems, 37:138595–138631, 2024

Reference 16

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Observation 13da3b81-5645-431d-87d5-8c722a0bc565 · outbound

This paper cites Machine culture.Nature Human Behaviour, 7(11):1855–1868, 2023.

AI Agent Behavioral Science Machine culture.Nature Human Behaviour, 7(11):1855–1868, 2023

Reference 17

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Observation f17127d3-1733-4ad3-b8e6-be7fc6cd8952 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

AI Agent Behavioral Science RT-1: Robotics Transformer for Real-World Control at Scale

Reference 18

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Observation 9529d80f-f8b2-4791-b77d-8c247b33a912 · outbound

This paper cites Scalable AI Safety via Doubly-Efficient Debate.

AI Agent Behavioral Science Scalable AI Safety via Doubly-Efficient Debate

Reference 19

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Observation 446cb640-4dde-45e8-afda-0735735f05b2 · outbound

This paper cites Behavioural science is unlikely to change the world without a heterogeneity revolution.Nature human behaviour, 5(8):980– 989, 2021.

AI Agent Behavioral Science Behavioural science is unlikely to change the world without a heterogeneity revolution.Nature human behaviour, 5(8):980– 989, 2021

Reference 20

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source=pdf_text observed=2026-08-07T11:00:53.371557Z digest=sha256:e4b0cc670716dbb7b9b973edc784b8475dc252af6263816303be09260898b336

Observation 5a3af2d9-9d05-489e-8077-a865ae9c9d9f · outbound

This paper cites Motivat- ing voter turnout by invoking the self.Proceedings of the National Academy of Sciences, 108(31):12653–12656, 2011.

AI Agent Behavioral Science Motivat- ing voter turnout by invoking the self.Proceedings of the National Academy of Sciences, 108(31):12653–12656, 2011

Reference 21

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source=pdf_text observed=2026-08-07T11:00:53.376067Z digest=sha256:e89e01606a5ff12df670032486d3fdb8177bd2500ca065b7f34189a11d32f922

Observation 1b16e75a-d08b-4aa7-9cc8-cb61e729f44b · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

AI Agent Behavioral Science Discovering Latent Knowledge in Language Models Without Supervision

Reference 22

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Observation 9e6051a6-69d4-415c-8ee3-61b71c07225d · outbound

This paper cites an unresolved cited work.

AI Agent Behavioral Science Unresolved cited work

Reference 23

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Observation 310f587a-d45e-4010-b332-9fe2584e583d · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

AI Agent Behavioral Science ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 24

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Observation 83c51626-b378-40b0-943d-6579909daa31 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

AI Agent Behavioral Science AutoAgents: A Framework for Automatic Agent Generation

Reference 25

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Observation 5d3c20b9-ec80-4818-b818-4671909126f3 · outbound

This paper cites Step-level Value Preference Optimization for Mathematical Reasoning.

AI Agent Behavioral Science Step-level Value Preference Optimization for Mathematical Reasoning

Reference 26

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source=pdf_text observed=2026-08-07T11:00:53.398869Z digest=sha256:c7cdba589cacb30325f67e0f5d34b52dd2bd1a586123c50c67a654e34a8c7e64

Observation 20001372-fcd0-4556-aba5-5c91a86697c3 · outbound

This paper cites Multi-Agent Consensus Seeking via Large Language Models.

AI Agent Behavioral Science Multi-Agent Consensus Seeking via Large Language Models

Reference 27

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Observation 64a52dcc-ce77-4f14-bf38-74f768ca6152 · outbound

This paper cites Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena.

AI Agent Behavioral Science Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena

Reference 28

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source=pdf_text observed=2026-08-07T11:00:53.407589Z digest=sha256:626f77beadcdd341f0a3f8994b6aace6912e221272e66af09a3f902f7a4c61f1

Observation 03faee50-4dd7-4a90-963e-6d82b0e6fea8 · outbound

This paper cites S-Agents: Self-organizing Agents in Open-ended Environments.

AI Agent Behavioral Science S-Agents: Self-organizing Agents in Open-ended Environments

Reference 29

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source=pdf_text observed=2026-08-07T11:00:53.412532Z digest=sha256:797207a366c0a5e3c773fb82965b021cb99ac4ba19e3233fcb8eaddb99b9ee57

Observation 8a59047d-d378-4917-a402-e0d2e64f782d · outbound

This paper cites Decision transformer: Reinforcement learn- ing via sequence modeling.Advances in neural information processing systems, 34:15084– 15097, 2021.

AI Agent Behavioral Science Decision transformer: Reinforcement learn- ing via sequence modeling.Advances in neural information processing systems, 34:15084– 15097, 2021

Reference 30

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source=pdf_text observed=2026-08-07T11:00:53.419620Z digest=sha256:08502dbf4cc9323e6f844780ce835aae382b124df36c9c76963769a89b0c20aa

Observation d2f089a9-3cec-46a1-9576-06b4abdfcee6 · outbound

This paper cites GRATH: Gradual Self-Truthifying for Large Language Models.

AI Agent Behavioral Science GRATH: Gradual Self-Truthifying for Large Language Models

Reference 31

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source=pdf_text observed=2026-08-07T11:00:53.424864Z digest=sha256:6ebcbb286709900af37c06dfe56da96fc73a174fcbc699cc68a0aa3cea9e0d40

Observation 640e3b71-7446-47c0-bac6-e910fc7d59d5 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

AI Agent Behavioral Science AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 32

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Observation 37ccd495-ac9c-4e45-8c2b-edf8c4943a18 · outbound

This paper cites EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models.

AI Agent Behavioral Science EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

Reference 33

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Observation fcddcda7-d4fd-40ed-9969-b6ceb0847ecf · outbound

This paper cites Deep reinforcement learning from human preferences.Advances in neural information pro- cessing systems, 30, 2017.

AI Agent Behavioral Science Deep reinforcement learning from human preferences.Advances in neural information pro- cessing systems, 30, 2017

Reference 34

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Observation 7f332a23-e52d-4dc4-92ee-df668df47813 · outbound

This paper cites Simulating Opinion Dynamics with Networks of LLM-based Agents.

AI Agent Behavioral Science Simulating Opinion Dynamics with Networks of LLM-based Agents

Reference 35

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source=pdf_text observed=2026-08-07T11:00:53.444665Z digest=sha256:9095917a6a9860bb251443564a9585e2b1a24e2872f4c0fafd52d6c55c995833

Observation a5af3d35-4222-45a9-a4bf-94e582a61d21 · outbound

This paper cites The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents.

AI Agent Behavioral Science The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents

Reference 36

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Observation 0147d112-524a-4da7-a91d-fbdeaa3b45a5 · outbound

This paper cites MIT press, 1998.

AI Agent Behavioral Science MIT press, 1998

Reference 37

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Observation 68a3dba3-bc8c-47d9-8123-271173328cf5 · outbound

This paper cites What Does BERT Look At? An Analysis of BERT's Attention.

AI Agent Behavioral Science What Does BERT Look At? An Analysis of BERT's Attention

Reference 38

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Observation bda32900-7291-46cc-9e6b-05664bda5087 · outbound

This paper cites CogBench: a large language model walks into a psychology lab.

AI Agent Behavioral Science CogBench: a large language model walks into a psychology lab

Reference 39

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Observation bcc55527-23d6-4421-a91d-103be5df966c · outbound

This paper cites Durably reducing conspiracy beliefs through dialogues with ai.Science, 385(6714):eadq1814, 2024.

AI Agent Behavioral Science Durably reducing conspiracy beliefs through dialogues with ai.Science, 385(6714):eadq1814, 2024

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Observation 967b0ec1-29e4-4caf-8250-87475c7d8b15 · outbound

This paper cites Ultrafeedback: Boosting language models with high-quality feedback.

AI Agent Behavioral Science Ultrafeedback: Boosting language models with high-quality feedback

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Observation 1b0a22dd-9cfb-4cda-8803-af37ef68b8b0 · outbound

This paper cites Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory.

AI Agent Behavioral Science Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory

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Observation e62db63e-697b-40aa-91c2-182d05077382 · outbound

This paper cites Behavioural nudges increase covid-19 vaccinations.Nature, 597(7876):404–409, 2021.

AI Agent Behavioral Science Behavioural nudges increase covid-19 vaccinations.Nature, 597(7876):404–409, 2021

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source=pdf_text observed=2026-08-07T11:00:53.482355Z digest=sha256:291ac126d74049428d4f4d852178e5e1affae8d47eeb5a93a1e19cc8a7ec4ed0

Observation fea46a8e-1d74-47f1-80aa-2efd4af74803 · outbound

This paper cites MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents.

AI Agent Behavioral Science MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents

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Observation cf8b26b1-c617-41fb-8402-69cd75043951 · outbound

This paper cites Springer Science & Business Media, 2013.

AI Agent Behavioral Science Springer Science & Business Media, 2013

Reference 45

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source=pdf_text observed=2026-08-07T11:00:53.491854Z digest=sha256:cb2c2dfaf1907bda2210abdfaca5c5e95b57e40f33b2872513c581c2dcf1bfcc

Observation 6731264b-e8ca-42ce-940d-a0163bc016ad · outbound

This paper cites Shared mental models: Ideologies and institutions.

AI Agent Behavioral Science Shared mental models: Ideologies and institutions

Reference 46

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Observation 37a2c130-730f-4b4e-934c-e80db71905f9 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 2019.

AI Agent Behavioral Science Bert: Pre-training of deep bidirectional transformers for language understanding, 2019

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source=pdf_text observed=2026-08-07T11:00:53.500482Z digest=sha256:98a2ce72c5ee4542db29e506f2ab94bb6ec208999aeae72fb32ab5ab27d9a1ea

Observation 7e02b46f-2185-4bdb-8769-6939d0d300d0 · outbound

This paper cites Springer, 2019.

AI Agent Behavioral Science Springer, 2019

Reference 48

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Observation 38e0616d-10cc-40de-b8a5-57bda2e087d4 · outbound

This paper cites Humaine: human multi-agent immersive negotiation competition.

AI Agent Behavioral Science Humaine: human multi-agent immersive negotiation competition

Reference 49

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source=pdf_text observed=2026-08-07T11:00:53.509332Z digest=sha256:c6abd55f78d99205fe5515d06f7e298b82a3aeae36051b81bd9cd9352434895e

Observation 52b3cfbb-932f-4145-8fd3-909a7c9cd47f · outbound

This paper cites Towards a rigorous science of interpretable machine learning, 2017.

AI Agent Behavioral Science Towards a rigorous science of interpretable machine learning, 2017

Reference 50

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source=pdf_text observed=2026-08-07T11:00:53.513986Z digest=sha256:aec60a8b77eb6f2c8ffa4537c6e7f611f790979ebcfdbd00b8a38f956f8797e4

Observation 6973fe7c-5c22-4f9c-9287-546da7a46ff2 · outbound

This paper cites Algorithmic agents in the hybrid media system: Social bots, selective amplifica- tion, and partisan news about covid-19.Human Communication Research, 48(3):516–542, 2022.

AI Agent Behavioral Science Algorithmic agents in the hybrid media system: Social bots, selective amplifica- tion, and partisan news about covid-19.Human Communication Research, 48(3):516–542, 2022

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Observation 302fcce4-03e5-4b25-81a5-a0393fc1744b · outbound

This paper cites EtiCor: Corpus for Analyzing LLMs for Etiquettes.

AI Agent Behavioral Science EtiCor: Corpus for Analyzing LLMs for Etiquettes

Reference 52

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source=pdf_text observed=2026-08-07T11:00:53.522520Z digest=sha256:c7e89282b03b1d088ad69f22324ba45abe336038bb5e87ee4ca4a1dba783d1ba

Observation c4ff2955-3424-48be-8d20-2a0f7ac631ff · outbound

This paper cites Chatgpt outperforms humans in emotional awareness evaluations.Frontiers in psychology, 14:1199058, 2023.

AI Agent Behavioral Science Chatgpt outperforms humans in emotional awareness evaluations.Frontiers in psychology, 14:1199058, 2023

Reference 53

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source=pdf_text observed=2026-08-07T11:00:53.527046Z digest=sha256:c2780deb4e7bd0cd3ec9d8556032e67fb1ff46b35b5a29f0df13e6df048f674c

Observation 0e2a777d-3e0c-49b5-a4c8-583b99977b6a · outbound

This paper cites Brookings Institution Press, 1996.

AI Agent Behavioral Science Brookings Institution Press, 1996

Reference 54

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source=pdf_text observed=2026-08-07T11:00:53.532067Z digest=sha256:3821f620a3bfdb54e2f2c0f7c78de359ae21282b8fce8122c35a0abe5fd82e62

Observation 4424d991-1402-4adb-93bd-b41012099676 · outbound

This paper cites Why does unsuper- vised pre-training help deep learning? InProceedings of the thirteenth international confer- ence on artificial intelligence and statistics, pages 201–208.

AI Agent Behavioral Science Why does unsuper- vised pre-training help deep learning? InProceedings of the thirteenth international confer- ence on artificial intelligence and statistics, pages 201–208

Reference 55

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Observation b6de590c-78e8-4e2d-a62b-f5c036fc4674 · outbound

This paper cites Can large language models serve as ra- tional players in game theory? a systematic analysis.

AI Agent Behavioral Science Can large language models serve as ra- tional players in game theory? a systematic analysis

Reference 56

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Observation 738ec1d7-419c-4eb8-b399-dd72f314a1e0 · outbound

This paper cites A behavior model for persuasive design.

AI Agent Behavioral Science A behavior model for persuasive design

Reference 57

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source=pdf_text observed=2026-08-07T11:00:53.555300Z digest=sha256:268bfe00df773b6b6cf021c8f865d3b0a46803ca973708184315c868a8219572

Observation 10108a32-8531-4830-ad83-6421022d3719 · outbound

This paper cites Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?.

AI Agent Behavioral Science Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?

Reference 58

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Observation c7ffc13a-6a23-4ed6-a2a1-f1367ae1779f · outbound

This paper cites Bias and fairness in large language models: A survey.Computational Linguistics, 50(3):1097–1179, 2024.

AI Agent Behavioral Science Bias and fairness in large language models: A survey.Computational Linguistics, 50(3):1097–1179, 2024

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source=pdf_text observed=2026-08-07T11:00:53.565136Z digest=sha256:8e0c0d11618c8ad0603396e6272231d7b7d3f3b845bff8a046c2026feab5390d

Observation c0045b91-560c-4499-a0e5-a819b7c88d06 · outbound

This paper cites an unresolved cited work.

AI Agent Behavioral Science Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-07T11:00:53.569600Z digest=sha256:490561f5eab8b6d7e6c0e3e7da7e15cabea2f08ce69783d269b4b5b33ad15220

Observation 7580147b-d25c-4c33-80cf-69a7c0fa555c · outbound

This paper cites S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents.

AI Agent Behavioral Science S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 61

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source=pdf_text observed=2026-08-07T11:00:53.574042Z digest=sha256:ce364590941735ffd5ec1be0195fe438a03c1daec9b1d0f8f3f909f2f828e3b0

Observation 8b9d9137-f639-424b-9588-0d50ee3a1f4b · outbound

This paper cites How human–ai feedback loops alter human perceptual, emotional and social judgements.Nature Human Behaviour, pages 1–15, 2024.

AI Agent Behavioral Science How human–ai feedback loops alter human perceptual, emotional and social judgements.Nature Human Behaviour, pages 1–15, 2024

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source=pdf_text observed=2026-08-07T11:00:53.580009Z digest=sha256:5a13108e2a12c8813474894ea88cabbe8c18a6d6d1ca864ed0da46f8b9751f51

Observation 8951716d-a854-4535-a269-5df387763520 · outbound

This paper cites Deception abilities emerged in large language models.Proceedings of the National Academy of Sciences, 121(24):e2317967121, 2024.

AI Agent Behavioral Science Deception abilities emerged in large language models.Proceedings of the National Academy of Sciences, 121(24):e2317967121, 2024

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Observation 9ed94c98-a0af-49c0-bd85-ef949e5fa2af · outbound

This paper cites Human-like intuitive behavior and rea- soning biases emerged in large language models but disappeared in chatgpt.Nature Compu- tational Science, 3(10):833–838, 2023.

AI Agent Behavioral Science Human-like intuitive behavior and rea- soning biases emerged in large language models but disappeared in chatgpt.Nature Compu- tational Science, 3(10):833–838, 2023

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source=pdf_text observed=2026-08-07T11:00:53.588512Z digest=sha256:9db2a38b4d9430a4899a8217cc4e4396cf20336b1db2838fa7580da0338795f8

Observation 34dd7d9a-d905-4b43-8109-3b30ed149d01 · outbound

This paper cites A survey on vision transformer.IEEE transactions on pattern analysis and machine intelligence, 45(1):87–110, 2022.

AI Agent Behavioral Science A survey on vision transformer.IEEE transactions on pattern analysis and machine intelligence, 45(1):87–110, 2022

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Observation 8d829d3f-4707-4bbf-980a-bc7a1b772542 · outbound

This paper cites Large language models are bad game theoretic reasoners: Evaluating performance and bias in two- player non-zero-sum games.

AI Agent Behavioral Science Large language models are bad game theoretic reasoners: Evaluating performance and bias in two- player non-zero-sum games

Reference 66

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source=pdf_text observed=2026-08-07T11:00:53.596987Z digest=sha256:333b86bf03cb9d53f22d51bde1d76b37954f0d64267bb34f1ec7a35803148a3f

Observation 32e4e515-30b2-4355-8bba-5dcadb586978 · outbound

This paper cites Ai generates covertly racist decisions about people based on their dialect.Nature, 633(8028):147–154, 2024.

AI Agent Behavioral Science Ai generates covertly racist decisions about people based on their dialect.Nature, 633(8028):147–154, 2024

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Observation 940e043d-a436-458e-bacc-461970c86ebb · outbound

This paper cites Wang, Chenhui Zhang, Zhangheng LI, Bo Li, and Zhangyang Wang.

AI Agent Behavioral Science Wang, Chenhui Zhang, Zhangheng LI, Bo Li, and Zhangyang Wang

Reference 68

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source=pdf_text observed=2026-08-07T11:00:53.605928Z digest=sha256:92e6e92cb45775119d7896326b005526c94df2830ebb2a699787a278b5b7db39

Observation 8d36eb49-0732-42bd-8c41-c066cb1e4eee · outbound

This paper cites Generative Language Models Exhibit Social Identity Biases, June 2024.

AI Agent Behavioral Science Generative Language Models Exhibit Social Identity Biases, June 2024

Reference 69

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source=pdf_text observed=2026-08-07T11:00:53.609923Z digest=sha256:c000910061b53d8ad36b6ba8565ac9339d3f58f8a976426fbb70301e0cd1ba03

Observation f4f28718-4d9a-4ac6-a9d4-680a507534d1 · outbound

This paper cites War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

AI Agent Behavioral Science War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 70

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source=pdf_text observed=2026-08-07T11:00:53.614973Z digest=sha256:8e004cdb30a8de1540781fcf1b82546db3feded68f91639cc074ac339ece2e64

Observation 2869919f-991f-40d7-be36-cb9a0982251f · outbound

This paper cites Competing large language models in multi-agent gaming environments.

AI Agent Behavioral Science Competing large language models in multi-agent gaming environments

Reference 71

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source=pdf_text observed=2026-08-07T11:00:53.620200Z digest=sha256:bf53a68875fc5cebcd81a6cab8cd41526dfec776bf97f1adc4a623ac9133df7d

Observation efffb5c6-3a7f-4b6e-8f88-49e4dc8cd26a · outbound

This paper cites Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems.

AI Agent Behavioral Science Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems

Reference 72

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:00:53.624618Z digest=sha256:375e626eab983c6f77c5bdf76717ec85fcd9c983a90142d3222233d361d66864

Observation 5c044a57-8491-44ee-b65a-07a953415983 · outbound

This paper cites Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

AI Agent Behavioral Science Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Reference 73

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source=pdf_text observed=2026-08-07T11:00:53.630371Z digest=sha256:42f2b11ce322dba16b5bb5829056c3f11da33b1ee0f844aaac91d28a49cff3ea

Observation c06692f9-c2a0-42e9-9f60-a1ba8a3bd909 · outbound

This paper cites Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T.

AI Agent Behavioral Science Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T

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source=pdf_text observed=2026-08-07T11:00:53.635125Z digest=sha256:9eb807af5424310a1b336ec5839674a400fc29391e2dfc8015359f2197568358

Observation 7c9f4a13-f27d-4d55-bc88-70764be5e847 · outbound

This paper cites The global landscape of ai ethics guidelines.

AI Agent Behavioral Science The global landscape of ai ethics guidelines

Reference 75

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source=pdf_text observed=2026-08-07T11:00:53.639774Z digest=sha256:20de70c97591db439f00a3b95e6cc14e10a25e3b4e4f69954a877338694882f9

Observation c66534b2-005f-4517-a613-6d22fc2ff4e3 · outbound

This paper cites Hachette UK, 2021.

AI Agent Behavioral Science Hachette UK, 2021

Reference 76

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source=pdf_text observed=2026-08-07T11:00:53.644034Z digest=sha256:927215fcb4d257d3e87edb46c4e613140dd43d22fea3bd8a33a727c6ac0f50b4

Observation b1a01a2b-57b2-40ae-9c79-94c5165b817b · outbound

This paper cites POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization.

AI Agent Behavioral Science POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization

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source=pdf_text observed=2026-08-07T11:00:53.648319Z digest=sha256:42e4008404251a231878657f018b361e2ce8f36730d5749bc20099260794a252

Observation 33c3e096-7239-4367-bba9-5060062900a0 · outbound

This paper cites Human-centered mechanism design with Democratic AI.

AI Agent Behavioral Science Human-centered mechanism design with Democratic AI

Reference 78

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:00:53.653125Z digest=sha256:ed37b20c5451d5f732417de3e1850670e110d92298b8e9a22020127383a32308

Observation 60f6b22c-477d-497c-a562-16fedd968a5f · outbound

This paper cites Socially situated artificial intelligence enables learning from human interaction.Proceedings of the National Academy of Sciences, 119(39):e2115730119, 2022.

AI Agent Behavioral Science Socially situated artificial intelligence enables learning from human interaction.Proceedings of the National Academy of Sciences, 119(39):e2115730119, 2022

Reference 79

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source=pdf_text observed=2026-08-07T11:00:53.658191Z digest=sha256:e8ec9236003c23a6b0cac601ddd8d406b7827923f6b47518a0667ad797a923cf

Observation 112fb250-d4e5-4b53-a4f9-5f9e618f8f30 · outbound

This paper cites Understanding the Effects of Iterative Prompting on Truthfulness.

AI Agent Behavioral Science Understanding the Effects of Iterative Prompting on Truthfulness

Reference 80

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source=pdf_text observed=2026-08-07T11:00:53.662278Z digest=sha256:e98cbc8beb0eccec2940abed942a9f9e986d52c066442f2d3c2bcd61d4418635

Observation 6ceda5bc-c695-4dc3-b045-40bf50c0f64d · outbound

This paper cites The first workshop on ai behavioral science.

AI Agent Behavioral Science The first workshop on ai behavioral science

Reference 81

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source=pdf_text observed=2026-08-07T11:00:53.667221Z digest=sha256:2be030f17ca149d45964f91229e2a3e0c89db28a488a3b3d93fde2500e3e2ab8

Observation 059a56e7-689e-425e-8ad6-5155c14d84e8 · outbound

This paper cites LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay.

AI Agent Behavioral Science LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Reference 82

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source=pdf_text observed=2026-08-07T11:00:53.671610Z digest=sha256:997f6c0a80de6d5e4043e2740e3319ab187b017c45f862256a8e9dcaf06a4079

Observation 4508cb11-d9ed-4f0c-81c9-00572a95a705 · outbound

This paper cites Uncovering the semantics of concepts using gpt-4.Proceedings of the National Academy of Sciences, 120(49):e2309350120, 2023.

AI Agent Behavioral Science Uncovering the semantics of concepts using gpt-4.Proceedings of the National Academy of Sciences, 120(49):e2309350120, 2023

Reference 83

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source=pdf_text observed=2026-08-07T11:00:53.677046Z digest=sha256:9519f4f812c26117ad1e20fd016984b1ebf6dde7fc2ded149cc0e12d2fe82648

Observation ccbaa325-c890-4e6d-a38b-ade2d79d18a2 · outbound

This paper cites Oxford University Press Oxford, 164–182, 2022.

AI Agent Behavioral Science Oxford University Press Oxford, 164–182, 2022

Reference 84

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source=pdf_text observed=2026-08-07T11:00:53.681017Z digest=sha256:396e6cf97285262d8d8c23af174f3e98cdf7aac574b7b81c223f3a60d5b3d125

Observation 9f786f60-0ee5-4725-b2f0-bb6e79b09ae3 · outbound

This paper cites Prompting fairness: Integrating causality to debias large language models.

AI Agent Behavioral Science Prompting fairness: Integrating causality to debias large language models

Reference 85

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source=pdf_text observed=2026-08-07T11:00:53.685073Z digest=sha256:5b465011dc6e1465295d097331c6f1a040f87d1cd4c8ac1637d22b745c3523bd

Observation 5687151e-2bb0-4ad0-ab1b-516580b3bd62 · outbound

This paper cites EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities.

AI Agent Behavioral Science EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

Reference 86

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:00:53.689607Z digest=sha256:76a2bfe6ca4ac55e72c178e538d940e160cc6ebfd2f02d7ae8e72072997cb468

Observation 7615888a-f70e-4fcf-8700-4ef6b25d2fae · outbound

This paper cites MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming.

AI Agent Behavioral Science MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming

Reference 87

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source=pdf_text observed=2026-08-07T11:00:53.694128Z digest=sha256:0aff61f7d5c2fe1f26b2848bc2312f4328ac8e34c2a9d35afc34634acdd37d4d

Observation 8d70c9ec-c893-4d34-8d8d-df13155dec60 · outbound

This paper cites an unresolved cited work.

AI Agent Behavioral Science Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-07T11:00:53.698194Z digest=sha256:f637b27c9234d89c4d649957e59613bb7b4ebcae7b2dd8749a6357c069c68b75

Observation 9978d921-17a5-4f28-b89f-914c23fc0dd9 · outbound

This paper cites Strategy selection as rational metareasoning.Psycho- logical review, 124(6):762, 2017.

AI Agent Behavioral Science Strategy selection as rational metareasoning.Psycho- logical review, 124(6):762, 2017

Reference 89

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source=pdf_text observed=2026-08-07T11:00:53.702204Z digest=sha256:b6d44f796637ae66d907f0604c9ab6bb9799892a3075ae6d348f3e40901410ea

Observation fb16a92a-dd27-429a-b4e7-a8c49c5b8cf3 · outbound

This paper cites Toward a better understanding of the emo- tional dynamics of negotiation with large language models.

AI Agent Behavioral Science Toward a better understanding of the emo- tional dynamics of negotiation with large language models

Reference 90

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source=pdf_text observed=2026-08-07T11:00:53.706013Z digest=sha256:eada6c3727946152e14c60e7971d604cca4ca82529922b6e6d9fc7fe9288bdf2

Observation 2423138d-d9dc-4b6e-b98d-2577dbf4af48 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

AI Agent Behavioral Science TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 91

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source=pdf_text observed=2026-08-07T11:00:53.709773Z digest=sha256:1f5bd600f1cc511c4b9925b08904715f565ced4056cca0fb6c9026b64aef0bcb

Observation 450271a1-9933-4d46-a078-5ef58a5d1e3f · outbound

This paper cites Explainable ai: A review of machine learning interpretability methods.Entropy, 23(1):18, 2020.

AI Agent Behavioral Science Explainable ai: A review of machine learning interpretability methods.Entropy, 23(1):18, 2020

Reference 92

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source=pdf_text observed=2026-08-07T11:00:53.714323Z digest=sha256:5b0b42d774d087c6b872d4fc5296bc656cd80a11bebbfcafdc347f8b5c9c7c48

Observation 0bd40fc6-7a4d-4959-add0-c74b23204634 · outbound

This paper cites LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.

AI Agent Behavioral Science LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models

Reference 93

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local_arxiv, observed 2026-08-07T11:00:54.930327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:00:53.718432Z digest=sha256:94d32be678eca8fa96b1b59f660e4f89bf9a02149a3523a11ee7ab96dfa12b96

Observation 225c1f65-d127-445e-b75e-2d4a6713d02a · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

AI Agent Behavioral Science Swin transformer: Hierarchical vision transformer using shifted windows

Reference 94

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source=pdf_text observed=2026-08-07T11:00:53.723520Z digest=sha256:ba417a7ee04b54d65573f90a3c69d58212148eb334ed1a06f7e21a4d19f35232

Observation 8035392a-2194-4b02-bf36-a4211e114b90 · outbound

This paper cites Strategic behavior of large language models and the role of game structure versus contextual framing.Scientific Reports, 14(1):18490, 2024.

AI Agent Behavioral Science Strategic behavior of large language models and the role of game structure versus contextual framing.Scientific Reports, 14(1):18490, 2024

Reference 95

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source=pdf_text observed=2026-08-07T11:00:53.728920Z digest=sha256:b2bdf8faf5bcf0cf5fa57efc0460fd9b6b0b754762f5b2d87b5190264b858bbe

Observation d3b9fbbb-4fa9-4258-b0bb-b5516d4e5a57 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.

AI Agent Behavioral Science Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 96

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:00:53.733037Z digest=sha256:60565449275e11c8b88d75e961aed1f19b99a3cf9104bab9cad98b137d5bbe65

Observation 024b735e-ab71-4cff-a7df-b8494aac1fbd · outbound

This paper cites LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play.

AI Agent Behavioral Science LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play

Reference 97

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source=pdf_text observed=2026-08-07T11:00:53.737737Z digest=sha256:621f380c80b1888fd4fc08cd304884ad6bf89b1a1d30e69e2c3f1e10407fa8f5

Observation 6f5d3e9c-c7a8-4e0c-b505-9ba4605c0837 · outbound

This paper cites Down the bot hole: Actionable insights from a one-year analysis of bot activity on twitter.First Monday, 2021.

AI Agent Behavioral Science Down the bot hole: Actionable insights from a one-year analysis of bot activity on twitter.First Monday, 2021

Reference 98

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source=pdf_text observed=2026-08-07T11:00:53.742164Z digest=sha256:ee3ce046be636fc85ab8be2bccd93ffb144a5e14caf208dac6dc519fbdbc3ab7

Observation 9039bf6c-1009-458d-9d64-3d7e48c0798c · outbound

This paper cites Red bots do it better: Compar- ative analysis of social bot partisan behavior.

AI Agent Behavioral Science Red bots do it better: Compar- ative analysis of social bot partisan behavior

Reference 99

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source=pdf_text observed=2026-08-07T11:00:53.746839Z digest=sha256:db80bb14362fefb0358d6f9518d65b91e5758a58072aeb1c504f34cf830f5337

Observation 3f1138a9-c49d-4495-b9d6-6c8355ea4e03 · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

AI Agent Behavioral Science ReFT: Reasoning with Reinforced Fine-Tuning

Reference 100

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:00:53.750838Z digest=sha256:cee810d9d0bdab009329bdfb1b912876a93b01b1740f2d7cea5d1ea670e5ff20

Pith citing papers

Observation 6f177dc1-6011-4264-afbd-f455507a6c56 · inbound

AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents cites this paper.

AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents AI Agent Behavioral Science

Reference 10

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source=arxiv_source observed=2026-08-07T10:54:57.931702Z digest=sha256:644d7d2dde49e57d695f334378011c8efd2f5a21a43816a792b14d317e764935

Observation 5c8dc11b-6984-4435-9ddd-842f235b5ce9 · inbound

An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies cites this paper.

An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies AI Agent Behavioral Science

Reference 45

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verified exact
arxiv_id, observed 2026-05-12T03:51:19.945669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:47:54.451357Z digest=sha256:ef78728a1fd4f4ab1f168b292ce94008c44ab4c66833ff63c972a81c6f7f6ae8

Observation 34851dfd-aacb-4783-a010-c871f88229b3 · inbound

Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning cites this paper.

Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning AI Agent Behavioral Science

Reference 11

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arxiv_id, observed 2026-06-29T13:43:29.021857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T13:38:01.819121Z digest=sha256:c028f868b443865e868c04564488ca3c538e2f5451454305667a294600ed600a