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Paper Citation Record · LEDGER

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models

As of 20 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.02726.

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

pith.paper-citation-record.v1
2506.02726 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:21:43.077882Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

56 of 56 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 35378862-893b-4597-b95b-05288e3f5877 · outbound

This paper cites Large language models: A survey of their development, capabilities, and applications.Knowledge and Information Systems, pages 1–56, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Large language models: A survey of their development, capabilities, and applications.Knowledge and Information Systems, pages 1–56, 2024

Reference 1

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raw_fallback, observed 2026-08-07T11:21:47.731516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d7bbc86f-e931-45c9-8953-57ef7582e0ec · outbound

This paper cites Nlp for social good: A survey of challenges, opportunities, and responsible deployment.arXiv preprint arXiv:2505.22327, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Nlp for social good: A survey of challenges, opportunities, and responsible deployment.arXiv preprint arXiv:2505.22327, 2025

Reference 2

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source=pdf_text observed=2026-08-07T11:21:38.860198Z digest=sha256:281ae217d0966463c0ac172e5e1762bd12d19a798bb248eb6e5f5c3883b21eee

Observation bb19e456-97f4-405b-aae1-7bae18f537a2 · outbound

This paper cites Current applications and challenges in large language models for patient care: a systematic review.Communications Medicine, 5(1):26, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Current applications and challenges in large language models for patient care: a systematic review.Communications Medicine, 5(1):26, 2025

Reference 3

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:38.949163Z digest=sha256:e579857c0e3082b9d8acb7091cbac18adfc0a859ebfa951f910d49db80242d5e

Observation 57b394cb-018e-46af-be82-05bfc3318205 · outbound

This paper cites A Survey on Large Language Models with some Insights on their Capabilities and Limitations.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 4

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source=pdf_text observed=2026-08-07T11:21:39.055557Z digest=sha256:3e2ae4b17a34e3e82bbd1e2456cec43571251a0bec5f03765036f0c23af1e514

Observation 44ab70e2-1c85-4c56-a568-e9ce0a935689 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023

Reference 5

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source=pdf_text observed=2026-08-07T11:21:39.094280Z digest=sha256:e628a0202760622400c2d0ae7cc0fbb42aacaeea5b3334c024f51de56910348e

Observation 74c35b06-33bc-4769-a41d-ee2412b33a4e · outbound

This paper cites Reinforcement Learning Enhanced LLMs: A Survey.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Reinforcement Learning Enhanced LLMs: A Survey

Reference 6

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source=pdf_text observed=2026-08-07T11:21:39.153862Z digest=sha256:a58a52c2e86093f1f2448339382c1dd8c9f0b82341b361ca3e34d159c9c37125

Observation a381681a-455a-4ea2-9fb1-fabb69e82004 · outbound

This paper cites LLMs for Explainable AI: A Comprehensive Survey.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models LLMs for Explainable AI: A Comprehensive Survey

Reference 7

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source=pdf_text observed=2026-08-07T11:21:39.242160Z digest=sha256:80e2b2033a8569ef1f24a781d8cb8ffd76e62aa4e437c2677a5c4f7010279983

Observation ba7746db-7ab2-49c0-9c0d-d2fe3e7f91eb · outbound

This paper cites Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024

Reference 8

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raw_fallback, observed 2026-08-07T11:21:47.331458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:39.392138Z digest=sha256:afbae76ed5bbc30f467485b5c8440c96ae563b265754f31a6fa37e551218a448

Observation ab4988a7-bbac-49a4-8d43-ae72784b60c7 · outbound

This paper cites Understand what llm needs: Dual preference alignment for retrieval-augmented generation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Understand what llm needs: Dual preference alignment for retrieval-augmented generation

Reference 9

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source=pdf_text observed=2026-08-07T11:21:39.447414Z digest=sha256:dee184f482b0b2a126bda52d0c13a9f64188423d330bea3dd8cb0b66102ecb21

Observation 4f2b9230-9f4f-41fa-b65c-682f64177050 · outbound

This paper cites Chain of preference optimization: Improving chain-of-thought reasoning in llms.Advances in Neural Information Processing Systems, 37:333–356, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Chain of preference optimization: Improving chain-of-thought reasoning in llms.Advances in Neural Information Processing Systems, 37:333–356, 2024

Reference 10

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source=pdf_text observed=2026-08-07T11:21:39.545398Z digest=sha256:693db8bd9ca212fe5261672123a1aaf42dc78b8ae4143434de1272f18e6bc7d6

Observation 5faf9fb3-54ce-4de8-99ab-631bf7637757 · outbound

This paper cites Context-DPO: Aligning Language Models for Context-Faithfulness.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Context-DPO: Aligning Language Models for Context-Faithfulness

Reference 11

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source=pdf_text observed=2026-08-07T11:21:39.613828Z digest=sha256:45eede2d96a159d3b18ebd5f433e9c328e65b203eced0e1162b03cb73eb75106

Observation bb9969f1-74a8-4879-9709-705b98e488d6 · outbound

This paper cites PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization

Reference 12

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local_arxiv, observed 2026-08-07T11:21:44.178173Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:39.749604Z digest=sha256:61383a3dd618c64008e77752fb1c7eaad7ca544677d3096270154c5c9c8f7726

Observation 26010888-1271-453c-9889-bb799a52a1a3 · outbound

This paper cites Knowpo: Knowledge-aware preference optimization for controllable knowledge selection in retrieval- augmented language models.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Knowpo: Knowledge-aware preference optimization for controllable knowledge selection in retrieval- augmented language models

Reference 13

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raw_fallback, observed 2026-08-07T11:21:47.090260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:39.821944Z digest=sha256:a0e73bf9e11130cbae8e6867fc72cab8f529ac2b9d86f4ecb95f308d7732ba34

Observation 9d28fa35-cf80-4ed3-9bc1-053bd929396d · outbound

This paper cites Iterative reasoning preference optimization.Advances in Neural Information Processing Systems, 37:116617–116637, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Iterative reasoning preference optimization.Advances in Neural Information Processing Systems, 37:116617–116637, 2024

Reference 14

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Observation 903b4620-bbfa-4740-b989-c9aa6a4f3c2d · outbound

This paper cites Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning

Reference 15

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source=pdf_text observed=2026-08-07T11:21:40.015790Z digest=sha256:3ab4dae53414506fcd19bbe111c6fe46c968941c24e83047b035a17cde3df94f

Observation a6cab298-93e4-432d-a3cd-31d582c665e6 · outbound

This paper cites Solving Maxwell's Equations.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Solving Maxwell's Equations

Reference 16

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local_arxiv, observed 2026-08-07T11:21:44.000302Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:40.090748Z digest=sha256:2b7f6c209d639d285909cbdd262264688f13fd67a4a7f88a9210a20ce4f8df4d

Observation a9a06361-e0ee-4ac3-abe2-d72c8f9d7519 · outbound

This paper cites A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Knowledge-Oriented Retrieval-Augmented Generation

Reference 17

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Observation 23df82cc-59c2-4a25-bebe-450afeb4def6 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 18

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Observation fa508398-e9cd-4894-bbe0-055d2e765f73 · outbound

This paper cites A Survey on Post-training of Large Language Models.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Post-training of Large Language Models

Reference 19

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Observation fdf48b54-8869-47c6-bf9a-03f922f803a9 · outbound

This paper cites A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications

Reference 20

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source=pdf_text observed=2026-08-07T11:21:40.479121Z digest=sha256:3cb57630ae1ad430008a3388f17ded2156a1be0914a5814176bdf44e09f1abcf

Observation 9b0ec985-fb2e-429e-bbeb-c23793eb36c8 · outbound

This paper cites MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 21

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Observation 0204eac1-f9af-4dc2-881c-4b43e76c53fe · outbound

This paper cites Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Reference 22

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Observation 0434a918-f900-4b85-946d-c03d54180b4b · outbound

This paper cites RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation

Reference 23

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Observation 82e0992e-7473-4faf-b2b3-07506c9ccda4 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 24

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Observation 12271706-1c52-45c2-9b33-393f1be2538e · outbound

This paper cites Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF

Reference 25

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Observation fad7e606-d01f-4894-84a3-b0e44b075c91 · outbound

This paper cites an unresolved cited work.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bbe81107-5f30-4627-ad40-7fa6c65256cc · outbound

This paper cites Safer-Instruct: Aligning Language Models with Automated Preference Data.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Safer-Instruct: Aligning Language Models with Automated Preference Data

Reference 27

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source=pdf_text observed=2026-08-07T11:21:41.130792Z digest=sha256:2a84be61dddeab6f9d66d6995e9f28c2eb132e258cbd4e9c7012495cad7bb4c3

Observation 710738de-a91c-4664-8a43-71f3c1dc08e5 · outbound

This paper cites Self-Boosting Large Language Models with Synthetic Preference Data.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Self-Boosting Large Language Models with Synthetic Preference Data

Reference 28

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Observation a28d5641-84b1-4e89-a0e7-5e53d514116e · outbound

This paper cites A comprehensive review of large language models: issues and solutions in learning environments.Discover Sustainability, 6(1):27, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A comprehensive review of large language models: issues and solutions in learning environments.Discover Sustainability, 6(1):27, 2025

Reference 29

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raw_fallback, observed 2026-08-07T11:21:46.524500Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 148f7fa5-3df2-48f8-93f9-b611bc3a5f75 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 30

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source=pdf_text observed=2026-08-07T11:21:41.322841Z digest=sha256:0b21bba34766434eae481af935ce277875f41d53a30e8f3c476cd823fcf5ea06

Observation cdf321d2-69d2-4864-8466-81151cfdede6 · outbound

This paper cites Zhang and J.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Zhang and J

Reference 31

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raw_fallback, observed 2026-08-07T11:21:46.337621Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:41.393033Z digest=sha256:afa4f8e6359c468282d99cd1fad1783164780d8d462d3982e2cf3a5b033ac3bd

Observation 3535564f-345b-4253-9118-ffd667784e46 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 32

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source=pdf_text observed=2026-08-07T11:21:41.484804Z digest=sha256:b48fc86d18e08c75e167ec01092a31253f74bb10bc1a6327959360aeb799bc3d

Observation f5a0a599-c7ff-48f5-93b9-bc6aa98de06c · outbound

This paper cites an unresolved cited work.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:41.550399Z digest=sha256:e5959f1ea4056cd6532bbef0e6c854fd117136c6a112011205d9e48fdb457599

Observation 4a09417b-8f90-4f45-8b86-de503559f55b · outbound

This paper cites Wang and Y.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Wang and Y

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:45.870818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:41.601069Z digest=sha256:d8e5325792519b8a3c40b97b6e854eb8035bc78102f17d00adb64dd7e6e6dcb1

Observation a92a8db8-8f5d-4ba3-9e81-588b0fa43f84 · outbound

This paper cites Feng and L.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Feng and L

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:45.725340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:41.653470Z digest=sha256:73edef2691cbbfa49d1e6f2db65bd0bb7274594239b26cbaec01664ef16cd87f

Observation aedea759-c1d4-422f-bc74-d0649ca28f24 · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:41.722040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:41.722040Z digest=sha256:175e1ac92c7c3619f0ee49ccb65e74b1ab4d59cd4cd4301c02be62071b62114b

Observation a8369b8b-1fca-444f-92c3-4f022cc3f304 · outbound

This paper cites Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:41.804315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:41.804315Z digest=sha256:47a86cb419dd94c9a2dd0dfac2d6d296be5ff6828ae437a99137459be314a1f0

Observation a465f5ba-829c-4790-8c3e-56fc59df58af · outbound

This paper cites Enhancing chain of thought prompting in large language models via reasoning patterns.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Enhancing chain of thought prompting in large language models via reasoning patterns

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:45.550033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:41.874814Z digest=sha256:bb5e1b65afcced8eb2208da69229cd51a2d409820864370ec2fe0a4e83d771d0

Observation 09bcebd1-1f60-478e-90b7-79b246d1c87f · outbound

This paper cites Transformers Provably Solve Parity Efficiently with Chain of Thought.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Transformers Provably Solve Parity Efficiently with Chain of Thought

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:41.931755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:41.931755Z digest=sha256:b7c9e3b9dcb45842c6ea1e28d8db13c2100b1138dabc2f8a92913e0fccc30f0e

Observation 43ec6d05-cebe-4146-a919-e602bba05855 · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Chain of Draft: Thinking Faster by Writing Less

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:41.999082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:41.999082Z digest=sha256:7d81c7f9abd80de2cd3675a5a5c2cc9ffd6ba5fc790bc98cc99f78443e003eeb

Observation 4f1fe121-7f15-46fa-906c-5d85df9b3985 · outbound

This paper cites Tool learning with large language models: A survey.Frontiers of Computer Science, 19(8):198343, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Tool learning with large language models: A survey.Frontiers of Computer Science, 19(8):198343, 2025

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:42.046502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:42.046502Z digest=sha256:8f64e1f0dfa85d555d507edbdb61019a238b4971b570a60f7c297ae71671096b

Observation b3030e9e-68e9-480a-9bf1-70470f0c9d15 · outbound

This paper cites Making Large Language Models Better Reasoners with Alignment.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Making Large Language Models Better Reasoners with Alignment

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:42.079243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:42.079243Z digest=sha256:444758676d4a1cc785069b5ebed56e419d51b3e11cbbead5c38f6dab7a443881

Observation e9913d1b-478a-4d3d-b1c3-a4700efdfbb5 · outbound

This paper cites PORT: Preference Optimization on Reasoning Traces.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models PORT: Preference Optimization on Reasoning Traces

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:21:43.674287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.154602Z digest=sha256:630bb566d4c508c0a7d2b6c11017b3678878f15b7ee65d368d02cbfa9893ef89

Observation e709ee68-ea43-4f99-907c-ab3a2df57a1d · outbound

This paper cites Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:42.204519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:42.204519Z digest=sha256:f0cdcbd3498e887367f76895984d138c3d7ffa88df33f709b2005ec525b00c0c

Observation 22ae8ed5-37c1-4c8a-95fe-75f8c167d131 · outbound

This paper cites Preference tree optimization: Enhancing goal- oriented dialogue with look-ahead simulations.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Preference tree optimization: Enhancing goal- oriented dialogue with look-ahead simulations

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:45.372913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.271188Z digest=sha256:67b9f62667b172f3b2c5edbba911f4de805b32463d256c7e2ae0339ea14ed45f

Observation f98649cf-13d2-4964-9fa3-e4f9334cfae4 · outbound

This paper cites Large language models in traditional chinese medicine: A scoping review.Journal of Evidence-Based Medicine, 18(1):e12658, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Large language models in traditional chinese medicine: A scoping review.Journal of Evidence-Based Medicine, 18(1):e12658, 2025

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:45.203522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.326058Z digest=sha256:baf3154e0f16d070edb58d6503552246e5ff4680a3854074300860244463a7ce

Observation 06d4c3d7-50f9-45b8-aae0-cfddaa4ce002 · outbound

This paper cites Tcmchat: A generative large language model for traditional chinese medicine.Pharmacological Research, 210:107530, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Tcmchat: A generative large language model for traditional chinese medicine.Pharmacological Research, 210:107530, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:45.046715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.411645Z digest=sha256:9d05790661a1edfd69762f9a1e7780b6691b291756bbbb1863dc90d8e6610023

Observation e99d14b3-39d3-4263-8b86-4882bb6c85ab · outbound

This paper cites Biancang: A traditional chinese medicine large language model.arXiv preprint arXiv:2411.11027, 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Biancang: A traditional chinese medicine large language model.arXiv preprint arXiv:2411.11027, 2024

Reference 48

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:21:43.446236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.480389Z digest=sha256:a0d0acde27887ebe519a65c79eb4c8381f7a0007532dcb3bc8e398be4f5db64b

Observation 17d4fd0d-80d0-4afe-b56d-8bcd6eb95937 · outbound

This paper cites Qibo: A Large Language Model for Traditional Chinese Medicine.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Qibo: A Large Language Model for Traditional Chinese Medicine

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:42.548438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:42.548438Z digest=sha256:405238e1213bc5e0ff22cab4cd7aae8f740f9a1fca0fe011bda2fed0792e59de

Observation 2ea30630-77fc-4016-a820-90eff300a36a · outbound

This paper cites Ai-powered lawyering: Ai reasoning models, retrieval augmented generation, and the future of legal practice.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Ai-powered lawyering: Ai reasoning models, retrieval augmented generation, and the future of legal practice

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:44.913465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.619817Z digest=sha256:cccb958aa4cac31ef3751bc9e81747d295626dae46b1ccd039a0b9ac3c732647

Observation 645540cd-f7b2-4593-be27-28e96ffafad7 · outbound

This paper cites A comprehensive review on financial explainable ai.Artificial Intelligence Review, 58(6):1–49, 2025.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A comprehensive review on financial explainable ai.Artificial Intelligence Review, 58(6):1–49, 2025

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:44.785971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.699536Z digest=sha256:7bf146113f86c201d48501f63ef4f89b86dd487c8f4ee6912ce5d7e11fd7a724

Observation 0595f1a3-41d5-4292-913c-e2cba6ba271f · outbound

This paper cites Findings of the association for computational linguistics: Eacl 2024.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Findings of the association for computational linguistics: Eacl 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:44.608922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.746394Z digest=sha256:e067079eca66491fe5fe7760f1f0079772f8a4e9b54c49a7638af720eb718123

Observation 673dff5e-42c1-4845-97dc-2fade4c69f74 · outbound

This paper cites ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:42.818394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:42.818394Z digest=sha256:b44cf78f534914af203457c85363f36fbe67c1d00d3d33912e35f16a9fa3263e

Observation 6dfbdf6e-383e-4290-b84e-a2609ada25ee · outbound

This paper cites Shennong-tcm: A traditional chinese medicine large language model.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Shennong-tcm: A traditional chinese medicine large language model

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:44.433484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:21:42.914094Z digest=sha256:dd1df15adc487049c69f1fd664269e422c5a2bf1edb22ec58f82a2d5568d0566

Observation aada8a85-a2e7-412f-bb92-483f6a257300 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Rouge: A package for automatic evaluation of summaries

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:42.986811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:42.986811Z digest=sha256:eb3d70957481304fa209c13f1bf3227cfad5ef8689844dbb95b1bc130e9f9369

Observation 5f72547f-2c79-4385-95ec-873c5c2c23f2 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Bleu: a method for automatic evaluation of machine translation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:43.077882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:43.077882Z digest=sha256:b70bc8c53b7bced50bc093b98be70eabbbc33f6cf4b52862c332568dcd4c2774

Pith citing papers

No inbound Pith citation observations are available.