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Paper Citation Record · LEDGER

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.23107.

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

pith.paper-citation-record.v1
2506.23107 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:54:43.849763Z

measured 44 of 44 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 6cb3ac98-cb2c-4a83-aef4-0f859e3d1fe0 · outbound

This paper cites Transportation Research Part E: Logistics and Transportation Review 197, 104075 (2025).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Transportation Research Part E: Logistics and Transportation Review 197, 104075 (2025)

Reference 1

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This paper cites A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

Reference 2

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This paper cites Massachusetts Medical Society (2025) 16.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Massachusetts Medical Society (2025) 16

Reference 3

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This paper cites In: The 2024 ACM Conference on Fairness, Accountability, and Transparency, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: The 2024 ACM Conference on Fairness, Accountability, and Transparency, pp

Reference 4

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Unresolved cited work

Reference 5

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Observation 2413f787-9fa7-4300-a7ac-e0583250e42a · outbound

This paper cites : The effect of using a large language model to respond to patient messages.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study : The effect of using a large language model to respond to patient messages

Reference 6

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Observation f8c1abda-e513-432e-9e00-fb708980fcdf · outbound

This paper cites Evidence and Insights on Mode Choice (August 26, 2024) (2024).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Evidence and Insights on Mode Choice (August 26, 2024) (2024)

Reference 7

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Observation 40840c86-716c-4448-9d60-7adc0b22317c · outbound

This paper cites Travel Behaviour and Society 40, 101039 (2025).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Travel Behaviour and Society 40, 101039 (2025)

Reference 8

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This paper cites Transactions of the Association for Computational Linguistics 12, 1011–1026 (2024).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Transactions of the Association for Computational Linguistics 12, 1011–1026 (2024)

Reference 9

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This paper cites Marketing Science 43(2), 254–266 (2024).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Marketing Science 43(2), 254–266 (2024)

Reference 10

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Unresolved cited work

Reference 11

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Observation 7d2fdb16-2e12-416c-bd85-8208c95df309 · outbound

This paper cites In: Handbook of the Fundamentals of Financial Decision Making: Part I, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: Handbook of the Fundamentals of Financial Decision Making: Part I, pp

Reference 12

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This paper cites Princeton university press, ??? (2005).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Princeton university press, ??? (2005)

Reference 13

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study offloads

Reference 14

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Unresolved cited work

Reference 15

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study American Economic Review 94(2), 33–40 (2004)

Reference 16

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Cognitive psychology 43(1), 1–22 (2001)

Reference 17

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study GPT-4 Technical Report

Reference 18

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Observation 60716906-0efd-4f03-be34-786d8d5d6397 · outbound

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Gemini: A Family of Highly Capable Multimodal Models

Reference 19

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Observation 0d9d30e4-89ad-4b68-bc49-95079e11edff · outbound

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents

Reference 20

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This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 21

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Observation d4a35b7f-1104-4fce-a4ea-295eb0d14111 · outbound

This paper cites In: Proceedings of the 17th ACM Conference on Recommender Systems, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: Proceedings of the 17th ACM Conference on Recommender Systems, pp

Reference 22

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Observation 5e6272c5-e96d-4ee1-9a47-80b499b6220a · outbound

This paper cites CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents

Reference 23

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Observation 1e9b2fe4-3b0e-4b96-baea-8121dc87e849 · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Reference 24

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This paper cites arXiv preprint arXiv:2406.17675 (2024).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study arXiv preprint arXiv:2406.17675 (2024)

Reference 25

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Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Reference 26

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This paper cites OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models

Reference 27

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This paper cites In: Proceedings of the 47th Interna- tional ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: Proceedings of the 47th Interna- tional ACM SIGIR Conference on Research and Development in Information Retrieval, pp

Reference 28

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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.

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Observation 8337f1bc-b904-40fe-9a9f-cb7821e90139 · outbound

This paper cites In: Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, pp

Reference 29

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Source-reported events for the cited work

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Observation 565d26f8-50f6-4ca3-bc8f-c364e1a2fbf8 · outbound

This paper cites In: International Conference on Computers Helping People with Special Needs, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: International Conference on Computers Helping People with Special Needs, pp

Reference 30

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This paper cites Accident Analysis & Prevention 125, 257–266 (2019).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Accident Analysis & Prevention 125, 257–266 (2019)

Reference 31

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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.

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Observation 528fbca9-1b95-4f0d-b648-f10af6d2c319 · outbound

This paper cites Transportation Research Part C: Emerging Technologies 162, 104603 (2024).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Transportation Research Part C: Emerging Technologies 162, 104603 (2024)

Reference 32

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Observation 1108007d-7c3b-40ba-8699-999ef230605f · outbound

This paper cites Transport Policy82, 36–45 (2019).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Transport Policy82, 36–45 (2019)

Reference 33

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

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Observation a4b000ce-2b81-432b-bb0b-864b75be8c97 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Unresolved cited work

Reference 34

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

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Observation e957b308-22d2-455e-bcf9-8a54397ce9fe · outbound

This paper cites Nature 623(7987), 493–498 (2023).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Nature 623(7987), 493–498 (2023)

Reference 35

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no resolver link, observed 2026-08-06T21:54:43.811065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.811065Z digest=sha256:576114e0fdd28219ac1224c7db6788dd07bf7e6184004b8fe118c8d1c112331f

Observation ea49aa57-3ef7-4056-b1d8-8eb49959722e · outbound

This paper cites From Persona to Personalization: A Survey on Role-Playing Language Agents.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study From Persona to Personalization: A Survey on Role-Playing Language Agents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.816483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.816483Z digest=sha256:0fc9d436988aa4317a7aca4703b96275eff9b04bdbfdc77be6a862bf69b56b34

Observation 1400769a-7312-451b-8107-eaef8ba51645 · outbound

This paper cites arXiv e-prints, 2403 (2024).

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study arXiv e-prints, 2403 (2024)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.102780Z

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=2026-08-06T21:54:43.820193Z digest=sha256:c43b786f4137af085945acfa19822091194f5121010d831fd987fdf006383746

Observation d22710c8-9ae5-4cf8-93c7-27ad9046e3ad · outbound

This paper cites In: Proceedings of the 30th International Conference on Intelligent User Interfaces, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: Proceedings of the 30th International Conference on Intelligent User Interfaces, pp

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.093293Z

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=2026-08-06T21:54:43.824037Z digest=sha256:66f4b6c0f10025aa551eb6629142870e3e845d449b5444b97dfbe302841c26ca

Observation 08f2cc2d-4de8-4a76-9254-7c356f66b676 · outbound

This paper cites Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.827625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.827625Z digest=sha256:66c55cd39484e6b1c14c24b7c6af387bb73676151afd3a6743417735f787d86c

Observation 3ab66d84-5d89-449c-83d6-110d0ca06a3a · outbound

This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.083716Z

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=2026-08-06T21:54:43.831196Z digest=sha256:d431b3af7426eed99527628b8148fd9588dac8b8b1b7d94432fd0091ddc0da11

Observation 6f2ed1fc-a4ae-4bfb-9b05-89c4c0f21fa9 · outbound

This paper cites From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.836230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.836230Z digest=sha256:f2eb349771adc1bd0e9a229d2dcce4fe101fbeb99ddb023028831800f78a6155

Observation a936ec5e-1466-44e7-bdd4-389695b54129 · outbound

This paper cites Exploring the Universal Vulnerability of Prompt-based Learning Paradigm.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:54:43.896306Z

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=2026-08-06T21:54:43.841295Z digest=sha256:8b26a20b620ec6f81688d11379afc9409b3ab18c3c22b921f95ccafaeb789d22

Observation 4011012a-6387-440f-b47a-9928d3211456 · outbound

This paper cites In: Uncertainty in Economics, pp.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study In: Uncertainty in Economics, pp

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.073495Z

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=2026-08-06T21:54:43.845999Z digest=sha256:62060ba9f3a1dfb9df43c045dd83a6b8c4a0267e4fd3eb56225474a7412fd706

Observation 2419a3d1-e28d-49ac-845b-366de2d635a2 · outbound

This paper cites Travel behaviour and society 33, 100604 (2023) 20.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Travel behaviour and society 33, 100604 (2023) 20

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.063728Z

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=2026-08-06T21:54:43.849763Z digest=sha256:d15a694442789d1e130f99102e2104abf2da982f61553612ae44fddc3322c222

Pith citing papers

No inbound Pith citation observations are available.