Paper Citation Record · LEDGER

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2505.11861.

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

pith.paper-citation-record.v1
2505.11861 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:39.018526Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:06:24.211756Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy16
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91566ab8-f96c-473a-b41e-bc3d64d748ef · outbound

This paper cites A new perspective on equity theory: The equity sensitivity construct.Academy of management Review, 12(2):222–234, 1987.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity A new perspective on equity theory: The equity sensitivity construct.Academy of management Review, 12(2):222–234, 1987

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.677862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f3ce3d1-a08e-4bb9-979b-18fb70e4b1c6 · outbound

This paper cites Understanding equity sensitivity through the lens of personality: a review of associations and underlying nature.Management Research Review, 46(9):1261–1277, 2023.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Understanding equity sensitivity through the lens of personality: a review of associations and underlying nature.Management Research Review, 46(9):1261–1277, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.664044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 463eab7c-5c29-4f7e-8d60-8fc3ebeea4b0 · outbound

This paper cites Beavertails: Towards improved safety alignment of llm via a human-preference dataset.Advances in Neural Information Processing Systems, 36:24678–24704, 2023.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Beavertails: Towards improved safety alignment of llm via a human-preference dataset.Advances in Neural Information Processing Systems, 36:24678–24704, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.838476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1b7dea-18d3-48d3-89c8-ceb86f3bea72 · outbound

This paper cites Safety Alignment Should Be Made More Than Just a Few Tokens Deep.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.843317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d47cac-ec78-4b5d-8d5a-98751afd4fba · outbound

This paper cites Safeworld: Geo-diverse safety alignment.Advances in Neural Information Processing Systems, 37:128734– 128768, 2024.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Safeworld: Geo-diverse safety alignment.Advances in Neural Information Processing Systems, 37:128734– 128768, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.641261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6be5ed1f-de88-4259-88ee-ff43ace4a653 · outbound

This paper cites Lisa: Lazy safety alignment for large language models against harmful fine-tuning attack.Advances in Neural Information Processing Systems, 37:104521–104555, 2024.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Lisa: Lazy safety alignment for large language models against harmful fine-tuning attack.Advances in Neural Information Processing Systems, 37:104521–104555, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.853521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4316d7a1-acd1-44c5-811e-ae737aad23e7 · outbound

This paper cites Cultural bias and cultural alignment of large language models.PNAS nexus, 3(9):pgae346, 2024.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Cultural bias and cultural alignment of large language models.PNAS nexus, 3(9):pgae346, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.858892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2457dc-5390-4415-887d-884686078ef0 · outbound

This paper cites Investigating cultural alignment of large language models.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Investigating cultural alignment of large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.609917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fec1c1a-d75c-4a6e-976b-bfb2d264c335 · outbound

This paper cites Culturellm: Incorporating cultural differences into large language models.Advances in Neural Information Processing Systems, 37:84799–84838, 2024.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Culturellm: Incorporating cultural differences into large language models.Advances in Neural Information Processing Systems, 37:84799–84838, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.595846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a409ffd2-d7f3-4f3f-980f-3d28eb8e90d9 · outbound

This paper cites CulturePark: Boosting Cross-cultural Understanding in Large Language Models.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity CulturePark: Boosting Cross-cultural Understanding in Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.873768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d25348c-82ab-4e22-8f63-72532e1738f0 · outbound

This paper cites Towards Measuring the Representation of Subjective Global Opinions in Language Models.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Towards Measuring the Representation of Subjective Global Opinions in Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.879068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf824fc-be3d-4e77-9476-f87e16fd0b83 · outbound

This paper cites Whose opinions do language models reflect? InInternational Conference on Machine Learning, pages 29971–30004.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Whose opinions do language models reflect? InInternational Conference on Machine Learning, pages 29971–30004

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.884112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58aba649-f9fe-4235-b17b-f660c70e7117 · outbound

This paper cites Value kaleidoscope: Engaging ai with pluralistic human values, rights, and duties.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Value kaleidoscope: Engaging ai with pluralistic human values, rights, and duties

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.573141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e97dc35-00f9-4d14-b071-ff288f2638b5 · outbound

This paper cites Worldvaluesbench: A large-scale benchmark dataset for multi-cultural value awareness of language models.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Worldvaluesbench: A large-scale benchmark dataset for multi-cultural value awareness of language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.558900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a734ce05-0027-4f3f-bcc3-d1346ed54ddc · outbound

This paper cites Alpacafarm: A simulation framework for methods that learn from human feedback.Advances in Neural Information Processing Systems, 36:30039–30069, 2023.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Alpacafarm: A simulation framework for methods that learn from human feedback.Advances in Neural Information Processing Systems, 36:30039–30069, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.898232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1125d3c4-c60e-4164-88e1-a4547c630372 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.902605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8fe175-902c-4320-935c-ea6857a67779 · outbound

This paper cites Social change, cultural evolution, and human development.Current Opinion in Psychology, 8:84–92, 2016.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Social change, cultural evolution, and human development.Current Opinion in Psychology, 8:84–92, 2016

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.535672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1509fc6-c73c-40a3-9c65-3e0aabc2fa99 · outbound

This paper cites Humans adapt to social diversity over time.Proceedings of the National Academy of Sciences, 116(25):12244– 12249, 2019.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Humans adapt to social diversity over time.Proceedings of the National Academy of Sciences, 116(25):12244– 12249, 2019

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.521868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d633614-a64f-429e-b1b0-a27e3bef0b85 · outbound

This paper cites Modeling and Forecasting the Evolution of Preferences over Time: A Hidden Markov Model of Travel Behavior.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Modeling and Forecasting the Evolution of Preferences over Time: A Hidden Markov Model of Travel Behavior

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:51:39.292033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b8140dd-a815-48e4-bf3b-1f9488c736c9 · outbound

This paper cites The measurement of equity sensitivity.Journal of Occupational and Organizational Psychology, 67(2):133–142, 1994.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity The measurement of equity sensitivity.Journal of Occupational and Organizational Psychology, 67(2):133–142, 1994

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.508035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce1cb41b-ceac-4142-a124-3af79cc8a45f · outbound

This paper cites Britain’s choice: Polarisation or cohesion.The Political Quarterly, 92(1):119– 124, 2021.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Britain’s choice: Polarisation or cohesion.The Political Quarterly, 92(1):119– 124, 2021

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.494131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 869cd08b-87d8-4f14-b69c-6e220b6ca518 · outbound

This paper cites Belief in egalitarianism and meritocracy.Economics Letters, 221:110896, 2022.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Belief in egalitarianism and meritocracy.Economics Letters, 221:110896, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.478861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ae866a8-a041-4e7c-b3a0-61440489efca · outbound

This paper cites Procedural justice, distributive justice: How experiences with downsizing condition their impact on organizational commitment.Social Psychology Quarterly, 68(1):89–102, 2005.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Procedural justice, distributive justice: How experiences with downsizing condition their impact on organizational commitment.Social Psychology Quarterly, 68(1):89–102, 2005

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.465230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8634db0c-de9f-4e68-9132-9f135994e3cb · outbound

This paper cites Culture matters: Individualism vs.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Culture matters: Individualism vs

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.451096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bff639a7-669b-45df-ab7e-5b0b6f9fba56 · outbound

This paper cites Social norms and gender disparities with a focus on female labor force participation in south asia.The World Bank Research Observer, 39(1):124– 158, 2024.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Social norms and gender disparities with a focus on female labor force participation in south asia.The World Bank Research Observer, 39(1):124– 158, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.436449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f45c534-d8ea-4f51-b8fa-0300d3472d76 · outbound

This paper cites Achieving ethics and fairness in hiring: Going beyond the law.Journal of Business Ethics, 68:449–464, 2006.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Achieving ethics and fairness in hiring: Going beyond the law.Journal of Business Ethics, 68:449–464, 2006

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:51:39.422587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e66981d6-47d0-4d3a-a537-55ca4b8e0aa4 · outbound

This paper cites GPT-4 Technical Report.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity GPT-4 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.951246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f01a0e7-64bb-4a22-905a-8d5e83849752 · outbound

This paper cites Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.955640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e66a74a-f26a-41a7-97a7-3c86b2f6238c · outbound

This paper cites Falcon 3 family of open foundation models, December 2024.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Falcon 3 family of open foundation models, December 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.960073Z

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Observation 8b1e5f53-0103-457b-a9a0-98dfef9ac908 · outbound

This paper cites The Llama 3 Herd of Models.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity The Llama 3 Herd of Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.964332Z

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Unavailable: canonical work link unavailable.

Observation ff0258c2-0347-417b-85ce-e347954e0c5d · outbound

This paper cites Sea-lion: Southeast asian languages in one network.arXiv preprint arXiv:2504.05747, 2025.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Sea-lion: Southeast asian languages in one network.arXiv preprint arXiv:2504.05747, 2025

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.968695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa78e82-0ccc-43b9-a71b-0bc117625fe5 · outbound

This paper cites an unresolved cited work.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:51:39.399335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7a880fd-a807-4c24-ace2-2a860548b29a · outbound

This paper cites Qwen2.5 Technical Report.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Qwen2.5 Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.977641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076e2499-275a-4b7b-a1fa-619c482bfedc · outbound

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

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Direct preference optimization: Your language model is secretly a reward model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.982246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03126c2-dc42-4b9d-a6c5-3d1566d212dd · outbound

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

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Deep reinforcement learning from human preferences.Advances in neural information processing systems, 30, 2017

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.987090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e88f6df2-7afa-499a-9a12-2c05136ef592 · outbound

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

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Fine-Tuning Language Models from Human Preferences

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.991600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 430bc1b1-2636-4f34-b778-621e7e5d438d · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:38.995953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0021872-1f04-46b2-887b-8a0146472c5b · outbound

This paper cites NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:39.000552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab075e2a-8662-4f6d-a029-500854391bff · outbound

This paper cites an unresolved cited work.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:39.005224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58e751f0-fadd-49d6-a93b-0cf59d8d46a1 · outbound

This paper cites Group robust preference optimization in reward-free rlhf.Advances in Neural Information Processing Systems, 37:37100–37137, 2024.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Group robust preference optimization in reward-free rlhf.Advances in Neural Information Processing Systems, 37:37100–37137, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:39.009535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eed35dd-0409-4eaf-a662-fcff44e328fe · outbound

This paper cites Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:39.013746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df37fbc2-ad94-4ad9-85fc-1bcbafec0b67 · outbound

This paper cites Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas.

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:39.018526Z

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Pith citing papers

Observation 0f350215-e90e-4d8c-8481-074525852ad5 · inbound

Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective cites this paper.

Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T06:06:24.211756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.