Paper Citation Record · LEDGER

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 4 inbound Pith citation observations for arXiv:2505.11615.

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

pith.paper-citation-record.v1
2505.11615 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:38.204999Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:22:51.856819Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:05:47.019328Z

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy26
unresolved19
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd85b3ef-2114-4bed-a22c-db25d866730b · outbound

This paper cites Leveraging large language models to estimate clinically relevant psychological constructs in psychotherapy transcripts.medRxiv, pages 2025–03, 2025.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Leveraging large language models to estimate clinically relevant psychological constructs in psychotherapy transcripts.medRxiv, pages 2025–03, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.700089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d336197-5dc4-48a8-8641-d8dc879ead57 · outbound

This paper cites Monte Carlo calculations of the radial distribution functions for a proton-electron plasma.Australian Journal of Physics, 18(2):119–134, 1965.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Monte Carlo calculations of the radial distribution functions for a proton-electron plasma.Australian Journal of Physics, 18(2):119–134, 1965

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.687925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 491adfb3-b5de-43da-9844-e8724392b84e · outbound

This paper cites Exploring variability in risk taking with large language models.Journal of Experimental Psychology: General, 153(7):1838, 2024.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Exploring variability in risk taking with large language models.Journal of Experimental Psychology: General, 153(7):1838, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.677602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9970f6f9-2d5f-4363-b3d8-64d433320fd1 · outbound

This paper cites Language models are few-shot learners.Advances in Neural Information Processing Systems, 33:1877–1901, 2020.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Language models are few-shot learners.Advances in Neural Information Processing Systems, 33:1877–1901, 2020

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.054128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9edd798b-3440-44c4-b33b-8cb91d5eb816 · outbound

This paper cites AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.058612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 628dd1f0-b78a-4343-aa27-1a5505850a73 · outbound

This paper cites Bias correction of learned generative models using likelihood-free importance weighting.Advances in Neural Information Processing Systems, 32, 2019.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Bias correction of learned generative models using likelihood-free importance weighting.Advances in Neural Information Processing Systems, 32, 2019

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.660166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a5b210b-6aac-4a71-ac72-d4e495a947d2 · outbound

This paper cites Predictions about indifference curves inside the unit triangle: A test of variants of expected utility theory.Journal of Economic Behavior & Organization, 18(3):391–414, 1992.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Predictions about indifference curves inside the unit triangle: A test of variants of expected utility theory.Journal of Economic Behavior & Organization, 18(3):391–414, 1992

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.648332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 513b9545-ad28-40c2-9084-fedc9abbe8e1 · outbound

This paper cites Gibbs sampling with people.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Gibbs sampling with people

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.635550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e124fb8-f600-48d1-b1fe-92cf4a1f5d21 · outbound

This paper cites Taylor & Francis, 2025.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Taylor & Francis, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.076234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5579810b-25df-409b-b350-7765dbb32bcc · outbound

This paper cites Aligning AI With Shared Human Values.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Aligning AI With Shared Human Values

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.079833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5515d2ce-f803-4ad0-b457-2706ac816d63 · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Inspecting and Editing Knowledge Representations in Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.083209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3f2d8a-9d18-4ab9-918c-4657f35ada45 · outbound

This paper cites Prospect theory: An analysis of decision under risk.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Prospect theory: An analysis of decision under risk

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.617228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 43e183f1-e858-45c7-9423-b4309c5496f3 · outbound

This paper cites World color survey.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations World color survey

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.607062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7541a21-716f-47b9-a744-bec146441142 · outbound

This paper cites Uncovering category representations with linked mcmc with people.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Uncovering category representations with linked mcmc with people

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.595487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2d88693-a9b2-4ff5-9c35-473ace777cb5 · outbound

This paper cites Inference- time intervention: Eliciting truthful answers from a language model.Advances in Neural Information Processing Systems, 36:41451–41530, 2023.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Inference- time intervention: Eliciting truthful answers from a language model.Advances in Neural Information Processing Systems, 36:41451–41530, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.098481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0138723-636a-467a-8fbd-03a409ea5537 · outbound

This paper cites Large Language Models Assume People are More Rational than We Really are.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Large Language Models Assume People are More Rational than We Really are

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.101863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da69b50-0ac9-4237-833c-007cc27087da · outbound

This paper cites Wiley New York, 1959.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Wiley New York, 1959

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.105592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84af5b37-0bdf-4ff8-8973-1d5e35f0032c · outbound

This paper cites Expected utility.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Expected utility

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.569098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4357e74d-122a-4df6-b377-42396c09ef44 · outbound

This paper cites Large language models predict human sensory judgments across six modalities.Scientific Reports, 14(1):21445, 2024.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Large language models predict human sensory judgments across six modalities.Scientific Reports, 14(1):21445, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.557290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7ab2a3e-7a5f-4b11-ab4d-cd67f32cd36a · outbound

This paper cites Rational behavior, uncertain prospects, and measurable utility.Econometrica, 18(2):111–141, 1950.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Rational behavior, uncertain prospects, and measurable utility.Econometrica, 18(2):111–141, 1950

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.544815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1181c1e-6331-46d2-9a3b-8ba31c27d0c4 · outbound

This paper cites Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.118654Z

Source-reported events for the cited work

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Observation e98bc4ee-b57b-4b8f-95c5-093787e5cf02 · outbound

This paper cites Gpt as a financial advisor.Available at SSRN 4384861, 2023.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Gpt as a financial advisor.Available at SSRN 4384861, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.533807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04ed913b-b03c-4bf5-b4b3-38238d8b3223 · outbound

This paper cites Non-parametric estimation of the individual’s utility map.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Non-parametric estimation of the individual’s utility map

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.523046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 435a058b-d534-436f-9316-e9769dc7ede7 · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Steering Llama 2 via Contrastive Activation Addition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.128906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a75824ed-ba71-43d9-96df-32aca8fa9bce · outbound

This paper cites Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.132141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c8d9b4-edc8-4b89-a097-21daa6f8feb3 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Direct preference optimization: Your language model is secretly a reward model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.135468Z

Source-reported events for the cited work

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Observation 25c582c5-ad36-4528-90fe-e263ba9c3845 · outbound

This paper cites Viking, 2022.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Viking, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.504982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6ef7362-a2a1-4a06-9aed-c207b34eeb73 · outbound

This paper cites Markov chain Monte Carlo with people.Advances in Neural Information Processing Systems, 20, 2007.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Markov chain Monte Carlo with people.Advances in Neural Information Processing Systems, 20, 2007

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.494618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72d29b75-4b77-4580-8533-03a80085e19f · outbound

This paper cites Perception of risk.Science, 236(4799):280–285, 1987.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Perception of risk.Science, 236(4799):280–285, 1987

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.484075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a79b56a1-4c54-4267-9223-c094bd670ff1 · outbound

This paper cites Getting aligned on representational alignment.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Getting aligned on representational alignment

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.150112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b32b2763-3609-4230-9030-784b61e93d04 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Gemma 2: Improving Open Language Models at a Practical Size

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.154334Z

Source-reported events for the cited work

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Observation e33ccde9-2538-4967-ba28-375892034830 · outbound

This paper cites Steering Language Models With Activation Engineering.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Steering Language Models With Activation Engineering

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.158133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb847dbe-b2fb-4a39-b5e5-c0067e34f3c7 · outbound

This paper cites Advances in prospect theory: Cumulative representation of uncertainty.Journal of Risk and Uncertainty, 5:297–323, 1992.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Advances in prospect theory: Cumulative representation of uncertainty.Journal of Risk and Uncertainty, 5:297–323, 1992

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.473540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2f8b3db-87c2-418a-816e-0380a13e67b2 · outbound

This paper cites The time course of visual processing: from early perception to decision-making.Journal of Cognitive Neuroscience, 13(4):454–461, 2001.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations The time course of visual processing: from early perception to decision-making.Journal of Cognitive Neuroscience, 13(4):454–461, 2001

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.462495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ad7c7e7-961e-4a70-8703-b25389b0604e · outbound

This paper cites Prince- ton University Press, 1947.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Prince- ton University Press, 1947

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.450424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eecdb662-3c26-464c-965a-adfcf7a37608 · outbound

This paper cites A domain-specific risk-attitude scale: Mea- suring risk perceptions and risk behaviors.Journal of Behavioral Decision Making, 15(4):263– 290, 2002.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations A domain-specific risk-attitude scale: Mea- suring risk perceptions and risk behaviors.Journal of Behavioral Decision Making, 15(4):263– 290, 2002

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.439061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4fc2a28-f052-4651-aa99-1c47be2cae07 · outbound

This paper cites Common consequence conditions in decision making under risk.Journal of Risk and Uncertainty, 16:115–139, 1998.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Common consequence conditions in decision making under risk.Journal of Risk and Uncertainty, 16:115–139, 1998

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.424881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ea19ea2-96d9-4cc5-b246-25d5578a29e5 · outbound

This paper cites Quickly recovering comprehensive individual mental representations of facial affect.OSF, 2024.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Quickly recovering comprehensive individual mental representations of facial affect.OSF, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.410853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8fdf5c73-441f-4d90-b413-4097c80db5b8 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Tree of thoughts: Deliberate problem solving with large language models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.398513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e797f235-811b-4e94-8d43-9ca317355cc2 · outbound

This paper cites Steering large language models using ape.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Steering large language models using ape

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.387232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a402623-89e1-4557-8471-103c12706c1d · outbound

This paper cites Eliciting the Priors of Large Language Models using Iterated In-Context Learning.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.191765Z

Source-reported events for the cited work

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Observation f46f4d46-b1b5-4524-b971-d68d47f41c96 · outbound

This paper cites Incoherent Probability Judgments in Large Language Models.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Incoherent Probability Judgments in Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.195091Z

Source-reported events for the cited work

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Observation e965b5b9-f89c-4fc3-bd94-096c70433851 · outbound

This paper cites Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.198290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2504a992-3743-4329-aebb-85137627ac10 · outbound

This paper cites Recovering mental representations from large language models with Markov Chain Monte Carlo.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Recovering mental representations from large language models with Markov Chain Monte Carlo

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:38.374592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c440d9be-c103-4724-84d7-73f5569f3eb0 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Fine-Tuning Language Models from Human Preferences

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.204999Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 32a752d9-d242-4873-85e1-975b11a05e71 · inbound

Can Revealed Preferences Clarify LLM Alignment and Steering? cites this paper.

Can Revealed Preferences Clarify LLM Alignment and Steering? Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations

Reference 19

Resolution: malformed identifier; arxiv_id, observed 2026-05-12T02:11:15.341384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f072f0e-991e-4ae4-b59e-6c463f16f722 · inbound

Temporal Preference Concepts and their Functions in a Large Language Model cites this paper.

Temporal Preference Concepts and their Functions in a Large Language Model Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:47.020963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7d3974d-23a8-4a40-9828-b8d6b5b99a96 · inbound

Temporal Preference Concepts and their Functions in a Large Language Model cites this paper.

Temporal Preference Concepts and their Functions in a Large Language Model Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations

Reference 123

Resolution: unresolved; no resolver link, observed 2026-07-12T17:03:44.315006Z

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Observation 1ba6ebd8-f0f1-4214-8f72-164936310690 · inbound

High-Stakes Decisions with Language Models: Insights from Emergency Triage cites this paper.

High-Stakes Decisions with Language Models: Insights from Emergency Triage Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:22:51.856819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.