Paper Citation Record · LEDGER

Guiding LLM Decision-Making with Fairness Reward Models

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2507.11344.

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

pith.paper-citation-record.v1
2507.11344 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:16:36.596455Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:04:43.641141Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy17
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc0a3585-45aa-400c-838d-eacbb62a00c1 · outbound

This paper cites Measuring Gender and Racial Biases in Large Language Models.

Guiding LLM Decision-Making with Fairness Reward Models Measuring Gender and Racial Biases in Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:32.884393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4590bfba-9322-4d44-873f-0f74b1f7c85a · outbound

This paper cites Machine bias.

Guiding LLM Decision-Making with Fairness Reward Models Machine bias

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:40.945369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6913c2f1-197a-417e-ad0d-12708f06defb · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Guiding LLM Decision-Making with Fairness Reward Models Constitutional AI: Harmlessness from AI Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:33.065618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bef5e4b2-8799-4ec8-9c16-6493857ec85b · outbound

This paper cites Fairness and Machine Learning.

Guiding LLM Decision-Making with Fairness Reward Models Fairness and Machine Learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:40.754525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3eb81b7a-0873-4112-a139-5ff3577d6dc2 · outbound

This paper cites Scaling test-time compute with open models, 2024.

Guiding LLM Decision-Making with Fairness Reward Models Scaling test-time compute with open models, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:33.257599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4fe649e-1b8b-4dc1-89ca-8e56190bfcda · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, 2021.

Guiding LLM Decision-Making with Fairness Reward Models On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, 2021

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:40.598198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc893af8-465b-4303-8687-e6e0658b8567 · outbound

This paper cites Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment.

Guiding LLM Decision-Making with Fairness Reward Models Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:33.404516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d27a1c-2a61-4ff2-90cc-dfa72e7dab6e · outbound

This paper cites Nuanced metrics for measuring unintended bias with real data for text classification.

Guiding LLM Decision-Making with Fairness Reward Models Nuanced metrics for measuring unintended bias with real data for text classification

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T17:16:37.508219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4262d806-a84a-47fd-b2a0-ee476739ab06 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Guiding LLM Decision-Making with Fairness Reward Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:33.556042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239b4c31-6913-46f3-9ac9-11e8803335b2 · outbound

This paper cites Alphamath almost zero: Process supervision without process.

Guiding LLM Decision-Making with Fairness Reward Models Alphamath almost zero: Process supervision without process

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:40.391505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbf97b6b-53b1-4d69-a55f-9a8f909d4e79 · outbound

This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.

Guiding LLM Decision-Making with Fairness Reward Models Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:40.258768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 343f7e75-8f04-4cd2-94e2-ecf33192fb98 · outbound

This paper cites Bias in bios: A case study of semantic representation bias in a high-stakes setting.

Guiding LLM Decision-Making with Fairness Reward Models Bias in bios: A case study of semantic representation bias in a high-stakes setting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:33.731709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a43689-dcc9-4192-bb08-549b22fc27af · outbound

This paper cites Evaluation of A frican A merican language bias in natural language generation.

Guiding LLM Decision-Making with Fairness Reward Models Evaluation of A frican A merican language bias in natural language generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:33.808567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03e6d9e-b996-492b-aec9-b8026dcf5c23 · outbound

This paper cites The accuracy, fairness, and limits of predicting recidivism.

Guiding LLM Decision-Making with Fairness Reward Models The accuracy, fairness, and limits of predicting recidivism

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:40.061471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b10125fd-8937-4a2b-992b-c60ee033dfe7 · outbound

This paper cites Gaebler, Sharad Goel, Aziz Huq, and Prasanna Tambe.

Guiding LLM Decision-Making with Fairness Reward Models Gaebler, Sharad Goel, Aziz Huq, and Prasanna Tambe

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:33.978846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0451b8b3-e928-4242-98f0-b59fb8bd9c21 · outbound

This paper cites Gallegos, Ryan A.

Guiding LLM Decision-Making with Fairness Reward Models Gallegos, Ryan A

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.020800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a90cb941-9963-4151-ac92-b617a720e87a · outbound

This paper cites Debiasing pre-trained language models via efficient fine-tuning.

Guiding LLM Decision-Making with Fairness Reward Models Debiasing pre-trained language models via efficient fine-tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.109032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b79ff65-f079-4643-808a-ac6998336767 · outbound

This paper cites Bias in Large Language Models: Origin, Evaluation, and Mitigation.

Guiding LLM Decision-Making with Fairness Reward Models Bias in Large Language Models: Origin, Evaluation, and Mitigation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.192370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd06d18d-8403-4b1c-ab91-237c5b3ab031 · outbound

This paper cites Equality of opportunity in supervised learning.

Guiding LLM Decision-Making with Fairness Reward Models Equality of opportunity in supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:39.817344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38241025-f83b-4642-b5c0-b8ff424c9674 · outbound

This paper cites V- ST ar: Training verifiers for self-taught reasoners.

Guiding LLM Decision-Making with Fairness Reward Models V- ST ar: Training verifiers for self-taught reasoners

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:39.593074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 947a5ebd-3ab4-4f84-bdae-3aba1c02254e · outbound

This paper cites Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes.

Guiding LLM Decision-Making with Fairness Reward Models Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.481000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2332d80b-b2c0-4c99-a2ea-c78009ee6401 · outbound

This paper cites Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting.

Guiding LLM Decision-Making with Fairness Reward Models Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.600067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4162730-f66a-4fd6-a73f-a2ff60492451 · outbound

This paper cites Gender bias and stereotypes in large language models.

Guiding LLM Decision-Making with Fairness Reward Models Gender bias and stereotypes in large language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:39.391977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53e20214-70cc-4ab7-9c6c-fc3770a5e16d · outbound

This paper cites When do pre-training biases propagate to downstream tasks? a case study in text summarization.

Guiding LLM Decision-Making with Fairness Reward Models When do pre-training biases propagate to downstream tasks? a case study in text summarization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.751145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be259f34-6ba6-4adb-8604-6aafe16ff023 · outbound

This paper cites Let's verify step by step.

Guiding LLM Decision-Making with Fairness Reward Models Let's verify step by step

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.831656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190bf357-95f7-4a39-aaa5-303b39125cf7 · outbound

This paper cites Debiasing large language models with structured knowledge.

Guiding LLM Decision-Making with Fairness Reward Models Debiasing large language models with structured knowledge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:34.904157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2598aec9-9663-4997-98ea-eabef42f61dc · outbound

This paper cites Fairness-guided few-shot prompting for large language models.

Guiding LLM Decision-Making with Fairness Reward Models Fairness-guided few-shot prompting for large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:39.143969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9462b191-baa9-4f9c-94b9-b23826ce9b3b · outbound

This paper cites Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models.

Guiding LLM Decision-Making with Fairness Reward Models Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:16:37.148249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 859b9ccb-1d88-421a-a44e-d564ed349bdf · outbound

This paper cites GPT-4 Technical Report.

Guiding LLM Decision-Making with Fairness Reward Models GPT-4 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.181824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783d5837-a48e-499d-a173-cb7bbc3cbe03 · outbound

This paper cites Bias in word embeddings.

Guiding LLM Decision-Making with Fairness Reward Models Bias in word embeddings

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.257114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e44a4c7-fa98-46e4-9acf-a30085eee4c7 · outbound

This paper cites BBQ : A hand-built bias benchmark for question answering.

Guiding LLM Decision-Making with Fairness Reward Models BBQ : A hand-built bias benchmark for question answering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.331592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc90f10-3013-4f17-84e3-a0c5d69a5fa5 · outbound

This paper cites Divine LL a MA s: Bias, stereotypes, stigmatization, and emotion representation of religion in large language models.

Guiding LLM Decision-Making with Fairness Reward Models Divine LL a MA s: Bias, stereotypes, stigmatization, and emotion representation of religion in large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.390548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ffbd460-dc6e-49e7-ad19-a74ea5f316da · outbound

This paper cites Proximal Policy Optimization Algorithms.

Guiding LLM Decision-Making with Fairness Reward Models Proximal Policy Optimization Algorithms

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.420119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61e2c6e-e099-4736-b1a5-13274a76cb76 · outbound

This paper cites On second thought, let ' s not think step by step! bias and toxicity in zero-shot reasoning.

Guiding LLM Decision-Making with Fairness Reward Models On second thought, let ' s not think step by step! bias and toxicity in zero-shot reasoning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.468808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245ea5f8-203a-4e87-bff7-c98f74010643 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Guiding LLM Decision-Making with Fairness Reward Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.536089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 030d9034-1f56-404f-8756-deceb6222eda · outbound

This paper cites Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning.

Guiding LLM Decision-Making with Fairness Reward Models Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.586343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95250af8-c97c-46be-a444-562177b8bedc · outbound

This paper cites Unveiling Gender Bias in Terms of Profession Across LLMs: Analyzing and Addressing Sociological Implications.

Guiding LLM Decision-Making with Fairness Reward Models Unveiling Gender Bias in Terms of Profession Across LLMs: Analyzing and Addressing Sociological Implications

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.620778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8608611d-f52e-4665-9817-335e646aebb2 · outbound

This paper cites Toward self-improvement of llms via imagination, searching, and criticizing.

Guiding LLM Decision-Making with Fairness Reward Models Toward self-improvement of llms via imagination, searching, and criticizing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:38.931655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7875b3e-8f1c-4a5f-8efc-69c0403a9a3d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Guiding LLM Decision-Making with Fairness Reward Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.783003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c9db766-0caa-4e05-9fec-c551aea0eb4b · outbound

This paper cites an unresolved cited work.

Guiding LLM Decision-Making with Fairness Reward Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:16:38.742876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3dc15b25-52bb-478c-806a-b86504c164a0 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

Guiding LLM Decision-Making with Fairness Reward Models Solving math word problems with process- and outcome-based feedback

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.915640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b12e44ce-f502-4ebc-bb0c-56257c9e3fd6 · outbound

This paper cites ``kelly is a warm person, joseph is a role model'': Gender biases in LLM -generated reference letters.

Guiding LLM Decision-Making with Fairness Reward Models ``kelly is a warm person, joseph is a role model'': Gender biases in LLM -generated reference letters

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:35.989318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29756c0c-8d77-4321-9d5a-05cec139544b · outbound

This paper cites Alphazero-like tree-search can guide large language model decoding and training.

Guiding LLM Decision-Making with Fairness Reward Models Alphazero-like tree-search can guide large language model decoding and training

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:38.444517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e181325b-299b-43e9-bb30-c8b23d172bf4 · outbound

This paper cites Math-shepherd: Verify and reinforce LLM s step-by-step without human annotations.

Guiding LLM Decision-Making with Fairness Reward Models Math-shepherd: Verify and reinforce LLM s step-by-step without human annotations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:36.088433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c31743d-7da5-4686-854c-00a05a8c5382 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Guiding LLM Decision-Making with Fairness Reward Models Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:36.146401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772ded21-26f9-4b76-b258-59b652fba045 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Guiding LLM Decision-Making with Fairness Reward Models Chain-of-thought prompting elicits reasoning in large language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:36.231787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bccc54-0090-4147-bc83-1e6642df3a25 · outbound

This paper cites Blueprint for an ai bill of rights: Making automated systems work for the american people, 2022.

Guiding LLM Decision-Making with Fairness Reward Models Blueprint for an ai bill of rights: Making automated systems work for the american people, 2022

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:38.256514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c54b5ecf-f6f7-4f39-9b13-2616c96509ba · outbound

This paper cites Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval, page 1578–1590.

Guiding LLM Decision-Making with Fairness Reward Models Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval, page 1578–1590

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:38.048677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d5547e0-35a6-46fd-99a2-8b8afe9eff28 · outbound

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

Guiding LLM Decision-Making with Fairness Reward Models Tree of thoughts: Deliberate problem solving with large language models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:37.868649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb3dabd6-abbe-4d12-8f41-a7466d145002 · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Guiding LLM Decision-Making with Fairness Reward Models Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:36.465705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9ef331-a297-4a24-8175-a6f9d936f503 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Guiding LLM Decision-Making with Fairness Reward Models Star: Bootstrapping reasoning with reasoning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:37.780741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a49fec15-69e9-48ca-ac85-03ab78d9f5f8 · outbound

This paper cites Towards effective discrimination testing for generative ai.

Guiding LLM Decision-Making with Fairness Reward Models Towards effective discrimination testing for generative ai

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:37.675829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 9610f636-a3ec-4be5-8de9-6de0de29ed12 · inbound

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation Guiding LLM Decision-Making with Fairness Reward Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:43.641141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.