Pith. sign in

Paper Citation Record · LEDGER

AI Agent Behavioral Science

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.262552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.262552Z digest=sha256:7117548b86311a95df0aec46aa1551b490263a908a3c28126fbc484aa8c07fdd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.269248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.269248Z digest=sha256:43f100972ea02c6b7be86c42a4426c98397b820a1b3bcde87053c7af5ccbf069

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.274854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.274854Z digest=sha256:9beaae7c4e60fc836f5699aef722024df511d82f446a656082fb7acd752fd295

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.281400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.281400Z digest=sha256:d8f28c3f62fdec2f7a61468d18cd26cb5d9ee5e028794db99c29c0a85604ca5f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.287229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.287229Z digest=sha256:0b0f33887603d750da6081d3b4f2b4f56b76de049706a2204b3d8bcc26564445

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.292375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.292375Z digest=sha256:024a7c5e4620a2d88bb9b79014dd0fe639411b673f9e0421178dea47a16d1305

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.302553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.302553Z digest=sha256:03e71f823e75cbf4b7ef81e4e0503b255982eda0405783d514da6c670cdc08d4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.308292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.308292Z digest=sha256:7b6fb55696bb8904557e65181dd0e2fbe3c6d9f0dac93b4a65f451455aa9785a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.322256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.322256Z digest=sha256:8e0d635ae176301270c776cf87378c9d7c2f20aee6a7bb65e9a30a2845da9acc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.326884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.326884Z digest=sha256:84acfcd686a006bc6df6e82a0f7ffc6f3236514f7642c21d3afb6f2928dad1be

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.331363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.331363Z digest=sha256:a79a3589b8301637b5a649cf3074025c2d1d0fc801795a96805f7f94fbc7989a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.336431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.336431Z digest=sha256:56bcbf9d72ffb45229dd3a61241c3ed357c5a0b9f7d586de54a559de042ef0ef

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.340700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.340700Z digest=sha256:230712a4076aceb4cf697165d585d3656c760ba9d304a707f0b2101a417a545a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.345027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.345027Z digest=sha256:31d8453eb7495acd2c3bfd9990a11978b488b75fb02a48dfdf19695e2fb4d1fc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.349580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.349580Z digest=sha256:11ec15ce930b435254e99e175c9360d363a2c866975ca90424d8c0266d2b21b9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.354026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.354026Z digest=sha256:73a74d1347f155d95379e42024acf881a2cf2496016e5bd339b54af63c660d11

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.357996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.357996Z digest=sha256:def4c71b513ce824107eceb6e361c7a2ee746758411991fcb4b49bb7c35366c1

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.362150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.362150Z digest=sha256:f05a6d5d02880315d653f94279565bcdfb5be4ebd82a125ea79245950dd59305

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.366862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.366862Z digest=sha256:e403396583b866a355bf66946a585a1673baecb082e4fc026c6000c5ecfab8e7

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.371557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.371557Z digest=sha256:598521f778868bca7f6bf1cf211a1230c6bb5aa016dcb04ad5ed561fd05cc282

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.376067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.376067Z digest=sha256:55621339591200749e4bacdfdc1d47fc4abd68c8a7fd4696793984cc762773c9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.380523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.380523Z digest=sha256:5a99c977c429892d552c61faf17bc69f46dbd518390502177138fbfd4cbc6ced

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

This paper cites an unresolved cited work.

AI Agent Behavioral Science Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.384816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.384816Z digest=sha256:8d2c8458b3a713a8a7061f22e9c7040cd3c5758e236b8774971655bca965786d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.388957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.388957Z digest=sha256:a4fd9c438c5d6d07245f6ee7e413c3fd8e958b7f82f92e35f2fd12b900044360

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.394086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.394086Z digest=sha256:beaa8ca165324d93aadf184350c2792541b2dee15b7f3b3382572e5a9aa84a32

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.398869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.398869Z digest=sha256:3b4eb6e464660f71e9d19b04f0f76ecfc36c360360afbe4cdf74385cf78117b5

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.403135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.403135Z digest=sha256:9ab02ed38647c8369f27dcbd4f81fa8d82dc0e199fa6370030fc4a936f7b8973

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.407589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.407589Z digest=sha256:f23a5bd6b1d873e924da754631e77c24dce53670b17977726598b32395565b8c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.412532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.412532Z digest=sha256:94e9ebf7b865d0138250280e272c188e3bdf364c6c329763f02a3e66ff683b46

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.419620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.419620Z digest=sha256:42b4ff7e16cfb72ed202418cf04e6dd9c6ebf91f536d4179fa94222164875772

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.424864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.424864Z digest=sha256:bb30dbabf57da42d8cf99fe1108175bd1461d14a85c85fd9bd7e0a7af5183bbc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.429632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.429632Z digest=sha256:d18892358672281a4069ea43e45454ff8d436fc5c3a99d049fefbb0afdc2a536

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.434105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.434105Z digest=sha256:f7fce0b3e9608edc35033fd2155967a3aa964958c3185944d5bb51719fb025b0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.439443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.439443Z digest=sha256:be66d4ef8385d014353101a36a896942422b546b18be6efba18a9c0890c63608

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.444665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.444665Z digest=sha256:18cc3d59e2fc46819040ff0b0d756bc5e82fccd2d274ae3adfe54c30aef5cb24

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.448944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.448944Z digest=sha256:53254de255c7b663d11251920fb1d84a327989b534e7c1bbcb415cb6c30fc80a

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

This paper cites MIT press, 1998.

AI Agent Behavioral Science MIT press, 1998

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.453558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.453558Z digest=sha256:31daac26e69fc0a86e1d6a5aee917039224032446995a324fe187a4c884222c5

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.458415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.458415Z digest=sha256:777c39e33ef0c39b23782e4fde9b9395290660ef39a96e950da70351455ca6dc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.463434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.463434Z digest=sha256:e9f7d2d30d14ef45b6e13d92d0cb482e67bef10426296f26bda232245148582c

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

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.469013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.469013Z digest=sha256:bf9917607e50103c4321b183f19623febac2719ac4d12799b7c8fbe9e914e197

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

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.473420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.473420Z digest=sha256:50f3bd41276c681df48d072bbf7e6e5ba64afc9bd8007877e09aa428ea15204e

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

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.478059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.478059Z digest=sha256:76fecb96f650e7f50070c907d69e6c4f1dcb553547410509097a11fb1bef6990

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

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.482355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.482355Z digest=sha256:237c6ac5fd6ccc18b39b0d9e017c0a2f4742d0797ffe3c964f9c352a484c28a8

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

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.486440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.486440Z digest=sha256:4b687fc7f03ce7ea2156e59fc148df09bc362f170570168b4350b04c6cc0f180

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.491854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.491854Z digest=sha256:04992d9757faed48e3734abb17d3aa846f29f8a2ab20e3d6baa9b5e423db2d36

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.496242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.496242Z digest=sha256:20ae83a6ae5c3a3581c36c625d0fc5bca684b7690898bf83fab708cc99a39c46

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

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.500482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.500482Z digest=sha256:5e42f7b421868f6208514a95c2026355b8cfc9b802364c558cc95c840a2fc65e

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

This paper cites Springer, 2019.

AI Agent Behavioral Science Springer, 2019

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.505150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.505150Z digest=sha256:5c79db380557d2127682216f59ed652048055fa5b2325d845b282957b747cfb3

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.509332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.509332Z digest=sha256:b844e961ceabd3cf0c527b1bee45f4ed10f8d1cfd5d2a42aaba893381ab83da1

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.513986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.513986Z digest=sha256:cfecb036fdb0e2491630c8de33b098410ac0df76c1c57f6a2e97ba22ac9d14ab

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

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.518559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.518559Z digest=sha256:a74b095ce9e54515bde59485f9990c170b74b6daf2e399cc5c0c54ac12f2ceb8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.522520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.522520Z digest=sha256:bfe2bcac1e1ecf437506638febe9164e3911671cc03a1e73a2a5e199330be96b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.527046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.527046Z digest=sha256:d50dbbf3c924a39408d18403d5b891ea4f4b21f9c75b327728a053261d8787ea

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

This paper cites Brookings Institution Press, 1996.

AI Agent Behavioral Science Brookings Institution Press, 1996

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.532067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.532067Z digest=sha256:9bdc630b3e6874f7e74d916747cc4b0a572fbc03639cd866a6077a39c99b1169

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.539387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.539387Z digest=sha256:424088112f25354eaaef06fd12dde8dc14ad2a6a1f376dde5a1b1c7af2042641

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.551101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.551101Z digest=sha256:66ad377e070cb9a96ecf3604e258c6452ff455c7e16739d39f2207c1ef9fd798

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.555300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.555300Z digest=sha256:c341d8fcaff943259ea20d65dd126fdbf3f1bf520e8b0e89e0c60b5970fc71eb

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.560262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.560262Z digest=sha256:82b10c4e56020e89728152ccc731aff2c32951fadbcc2d4b1bc5cea1a902aa7e

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

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.565136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.565136Z digest=sha256:3304fafd70ea2c697a17d62c18b5abc2456791e1b4c32e9ec87e841d7dbc0973

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

This paper cites an unresolved cited work.

AI Agent Behavioral Science Unresolved cited work

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.569600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.569600Z digest=sha256:4c505f7bd6d3d5502ff50aab806220b6a699b83a1414a186a00b04e370c2815e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.574042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.574042Z digest=sha256:2ccc418b711a12fa190d92fe6a38b716a0609f59fe769d4ba5250d492d956963

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

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.580009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.580009Z digest=sha256:13b68eb0bde57f004d495f5e24f64c6c0d581b82c9c6baf4a37a6e9e46008b3c

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

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.584482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.584482Z digest=sha256:e1b7fc3540473cde2959cae4355f384d9edb05ce1839231c75f4339c75051db1

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

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.588512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.588512Z digest=sha256:c85232317d281dc388cd93a50ddccb87c5686ef4a6f26d2799a982b23419ecd6

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

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.592691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.592691Z digest=sha256:c9aa7a0bd47b84f29786831cfbd7211e8c0667f32b4b0319b92ee7be134a033e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.596987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.596987Z digest=sha256:f33f8c840155d86dfc4978be029f91df98bcf65f5034169df7e66fcc301b58b4

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

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.601742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.601742Z digest=sha256:fce4fda90600242541eb38d58ebb0f4765a7f0717547aaccf0799ea0c64f8d7f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.605928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.605928Z digest=sha256:9782150896191bb5a3e2fab373766917a85b2cc21cc4465baa5a956c5667012b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.609923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.609923Z digest=sha256:cf99ed01b9ead54ae3fdd761d13473157f074cdc6f0ed94cdb6f625836bf9f3d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.614973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.614973Z digest=sha256:881035f0b93e0cc8ea178e257f2d5dbe5912e043599eda3b684dc05a568dac3c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.620200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.620200Z digest=sha256:576c86ee41bde1c463c319bf32fe0d0ca90a1535120c79f51137d5eb82adf240

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:00:55.137054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:00:53.624618Z digest=sha256:35b28e3eaec1415eb3935838fbaaae673449cb83bfe6ff40fe0908b3c65e3774

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.630371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.630371Z digest=sha256:92476406056c1091f9881cd1a0d7a3ac4a87f8bcf378ae149b4cc3e68f6cf6e9

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

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.635125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.635125Z digest=sha256:fcef8ea8289cf9ce8a958ef89bc3dba993a05f3ccad7ef9e97b90bc40a7133d4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.639774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.639774Z digest=sha256:1f905f601b2a41fc281c950f35b933e44b0803e37caf2f6b39af0295d7037c86

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

This paper cites Hachette UK, 2021.

AI Agent Behavioral Science Hachette UK, 2021

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.644034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.644034Z digest=sha256:9401a242c29885a754831b27ca74b239b9949be964d45dbaa35e2fe0e70f2af0

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

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.648319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.648319Z digest=sha256:41b79a64ae4506c293e2449bad3db328722d08503feacab804efd96da6538a95

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T11:00:55.072150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:00:53.653125Z digest=sha256:8d68f8c9cc4edcd024ecab66ba12f044ac5fbb36c3e18c06ee196afc63151975

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.658191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.658191Z digest=sha256:8f11fd107e4475db377e290747fb7b8e9a7ddb629300473099f25ff413ed6222

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.662278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.662278Z digest=sha256:59b53dc8b80f3c5a2bf5246094f881e60d63d253d801972937741a4067e1540f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.667221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.667221Z digest=sha256:ea89a556cf1b2ded1f937c65c77eb9041dfcf7c52525d8d083f38dc5d2282518

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.671610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.671610Z digest=sha256:00cf1aab5468b184b3e834301d861414193371d7547e4dca6a391a15b334743c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.677046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.677046Z digest=sha256:1cc2ea2a04c863a2958468d9b488a3dd5fc6e6f7a2382df8ca44dc22ef7f8078

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.681017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.681017Z digest=sha256:07cc5fc9f7a982f7facbadac85702f9aef3db1f701da1f559ca27d8b3d02579c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.685073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.685073Z digest=sha256:14a0083e279ad9f74fc8a483562617d054cc2cb001ac031be8061e6af6269449

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.689607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.689607Z digest=sha256:6c7804c1932ba2979041f1d9645c4a41d29e370962b5f3dde54e8706639ed656

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.694128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.694128Z digest=sha256:ef45ea84dfe30355e07dc598412f2a15128ca0b7d5c2bf5847215c422b083cb4

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

This paper cites an unresolved cited work.

AI Agent Behavioral Science Unresolved cited work

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.698194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.698194Z digest=sha256:b0bb023069c4679817252342c1f36174fc1409ad6e458aa96c0e9ee8e3290196

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.702204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.702204Z digest=sha256:6a81a99743da74a21e0283eb6e0b9783fa26ca3af9b20032855d87fe1ee8342b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.706013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.706013Z digest=sha256:1e7e012d0e4374f1931842d951fc3e89dd43b6e1fe9cd7d846019071049b53ce

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.709773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.709773Z digest=sha256:24fbfbd46ff074b0157cde782f30180fd4a398ea7bc7c199518758984264faca

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.714323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.714323Z digest=sha256:e7e9813643fa21109b3c8b7f6091626729048199ab65bc5e4efb02b259ff0e34

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:00:53.718432Z digest=sha256:744674070d522d7ee241e0476c747a792ec2bcadce1abda29f0cdd02c704abed

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.723520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.723520Z digest=sha256:b4002ed6a6c275af3aaf8b7b9bb2d0e2101ef11920c7184085b167153555c7ed

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.728920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.728920Z digest=sha256:61b315d0f0f14e7336b592f5e2d6d7df7323b27d24ae2c7c2547ab0874c2092d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.733037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.733037Z digest=sha256:b1c6c37efa0efbcb12af59079096ea4d289286cc6b7b317ab8b5c730fcde289a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.737737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.737737Z digest=sha256:c94ece8ab66568469716250755677690b9a05a9d32fbfce3befa0a12c30c3173

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.742164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.742164Z digest=sha256:cfb62b66235ecf5553800b158eb3d99b029a30d4e76361a59299aaf762a70dfd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.746839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.746839Z digest=sha256:aabfaea883cf8ebbd3b94fb198148b8f86ed2b076b1cac894419aa89a7247cc8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.750838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.750838Z digest=sha256:e32fee7f2bd6d9be66c8892786e6bdcc348a052b26597fa1cdca0619a402cecd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:57.931702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:57.931702Z digest=sha256:153dba031f4064d0a7cdc6db49e026961337d7cf9b810a55afb87a4f45b8b535

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:47:54.451357Z digest=sha256:7654ba04a8b98678a35ef8960df9335c5c6a8efaaf19acb6f0893f916ffc8d72

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T13:38:01.819121Z digest=sha256:fe55ad9f2854aace6814bc54d950930eff29ff59508d4de76ab519b4f46fa811