Paper Citation Record · LEDGER

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2502.03699.

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

pith.paper-citation-record.v1
2502.03699 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:08:52.401981Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:50.289327Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:26:55.832369Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy7
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76fe5319-e7fa-4d24-af88-a2e61e644c49 · outbound

This paper cites GPT-4 Technical Report.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:50.955917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73d84378-cb7f-4400-888a-ea88aea6d08b · outbound

This paper cites w. current.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective w. current

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:08:53.399702Z

Source-reported events for the cited work

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

Observation 54c53931-f9ee-4c86-9d6a-57b05da0f170 · outbound

This paper cites As the number (N) of retrieved responses increases, the retrieval recall increases.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective As the number (N) of retrieved responses increases, the retrieval recall increases

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:08:53.789885Z

Source-reported events for the cited work

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

Observation 42601634-a9db-45d0-a53f-55ca2c825252 · outbound

This paper cites in-batch negatives.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective in-batch negatives

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:08:53.851481Z

Source-reported events for the cited work

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

Observation 8e4bfde4-bb0d-4683-a010-175cf8146e34 · outbound

This paper cites For AlpacaEval2, we report the result with both opensource LLM evaluator alpaca eval llama3 70b fn and GPT4 evaluator alpaca eval gpt4 turbo fn.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective For AlpacaEval2, we report the result with both opensource LLM evaluator alpaca eval llama3 70b fn and GPT4 evaluator alpaca eval gpt4 turbo fn

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:08:53.564744Z

Source-reported events for the cited work

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

Observation c1f5c3d6-53c7-4d0b-b26c-70b1f98de59e · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.424076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f899329-eeeb-4975-a10f-9638b1848321 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective KTO: Model Alignment as Prospect Theoretic Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.433852Z

Source-reported events for the cited work

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Observation c124081d-487d-4d44-9c0f-09880e7e44e4 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Direct Language Model Alignment from Online AI Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.439639Z

Source-reported events for the cited work

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Observation 863b84ed-5a22-4b9b-8a23-d8a3220b1db1 · outbound

This paper cites Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.444744Z

Source-reported events for the cited work

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Observation fb7a7fe1-8661-4954-9ac5-d6a5b9cc41c6 · outbound

This paper cites Mistral 7B.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Mistral 7B

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.463091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1bd6fa-dce3-4982-a340-cdfec74cdcc9 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Dense Passage Retrieval for Open-Domain Question Answering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.562157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 385d2405-60e4-462c-b6a5-1595e6ad2afd · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective RewardBench: Evaluating Reward Models for Language Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.669984Z

Source-reported events for the cited work

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Observation 829c2c00-7db5-49f3-a51a-747a545cc2d7 · outbound

This paper cites From Matching to Generation: A Survey on Generative Information Retrieval.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective From Matching to Generation: A Survey on Generative Information Retrieval

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.714428Z

Source-reported events for the cited work

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Observation bde4c4a1-91de-42ed-ac10-3695cbf60e06 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.741471Z

Source-reported events for the cited work

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Observation 8ed1b2e7-df5c-42be-a1f5-9480b05bf95e · outbound

This paper cites Passage Re-ranking with BERT.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Passage Re-ranking with BERT

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.777482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d353fc4-1597-4cc9-9813-e0681c393432 · outbound

This paper cites Document Ranking with a Pretrained Sequence-to-Sequence Model.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.791525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec8409b5-0173-49ee-9f53-106c5931d72c · outbound

This paper cites Disentangling Length from Quality in Direct Preference Optimization.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Disentangling Length from Quality in Direct Preference Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.815624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855c5902-532f-4aab-85f1-7ec604c04db5 · outbound

This paper cites RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.824811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caeada24-616c-401f-9508-afbefbb737ad · outbound

This paper cites Proximal Policy Optimization Algorithms.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Proximal Policy Optimization Algorithms

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.864748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780ebc08-f491-4ed6-803c-edc08895bff9 · outbound

This paper cites BOND: Aligning LLMs with Best-of-N Distillation.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective BOND: Aligning LLMs with Best-of-N Distillation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.973560Z

Source-reported events for the cited work

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Observation 10b2bfe1-2e97-43ff-84ea-926ff5b48a99 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.034749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63c5adc-abad-494f-8605-abccd89c4418 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.072899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818504ca-51be-4dbd-bcb2-03e2a091b13b · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Aligning Large Language Models with Human: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.078672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7339df-a957-4429-9187-a0870b3f8513 · outbound

This paper cites Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.094738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2968a6cf-ff46-4227-a412-69d962d63f3f · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.104766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d911d71a-bd4d-4443-9239-5ab309c3d01e · outbound

This paper cites Curriculum learning for dense retrieval distillation.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Curriculum learning for dense retrieval distillation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:08:54.024718Z

Source-reported events for the cited work

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

Observation ff55ae22-d549-4c47-bb36-1e8685b45293 · outbound

This paper cites SLiC-HF: Sequence Likelihood Calibration with Human Feedback.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.221810Z

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Observation 7d544be6-869f-4a5c-a40a-fa75e9e1658a · outbound

This paper cites We consider two base models: Mistral-7b-base and Mistral-7b-it.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective We consider two base models: Mistral-7b-base and Mistral-7b-it

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:08:53.774929Z

Source-reported events for the cited work

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

Observation 74668662-f023-4d21-8c85-9e044b489e73 · outbound

This paper cites We generate 4/6/8/10 responses with the LLM and score the responses with the off-the-shelf reward model (Dong et al., 2024).

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective We generate 4/6/8/10 responses with the LLM and score the responses with the off-the-shelf reward model (Dong et al., 2024)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:08:53.345216Z

Source-reported events for the cited work

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

Observation d11b961d-6358-4b2e-bf97-52626eef8fbe · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 1952

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.155101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c721f883-1ae1-43dc-9f9e-aa39314a6c33 · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.086973Z

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Unavailable: canonical work link unavailable.

Observation bdb5b3ed-d9ff-4cd1-9f16-1847d43020e8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Evaluating Large Language Models Trained on Code

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.177806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32c006a-4cd4-4c32-9c59-53719ade133b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Training Verifiers to Solve Math Word Problems

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.192884Z

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Observation d7679d1e-e52f-465b-9e9c-008b54927d1f · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.251439Z

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Observation 813c0465-420d-40b7-b806-df77bd1c0e38 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Representation Learning with Contrastive Predictive Coding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.808118Z

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Unavailable: canonical work link unavailable.

Observation e3d3ef6e-1b92-4c03-a865-6301d853366a · outbound

This paper cites A Survey of Large Language Models.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective A Survey of Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.133724Z

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Unavailable: canonical work link unavailable.

Observation 8b1e524f-e854-4e74-b820-d5a26e47e936 · outbound

This paper cites LiPO: Listwise Preference Optimization through Learning-to-Rank.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective LiPO: Listwise Preference Optimization through Learning-to-Rank

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.724809Z

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Unavailable: canonical work link unavailable.

Observation f51955d9-5e2b-4572-bf71-eefcf0854e34 · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective RLHF Workflow: From Reward Modeling to Online RLHF

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.365242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a89aed-cdc5-4984-ab27-839566a6f2c2 · outbound

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

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.055689Z

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Unavailable: canonical work link unavailable.

Observation 7120ae5c-e864-4839-b264-e5eee69331c8 · outbound

This paper cites MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:51.755786Z

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Pith citing papers

Observation 717a137d-4795-4d92-aa45-2f3bd6b12ce5 · inbound

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents cites this paper.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents LLM Alignment as Retriever Optimization: An Information Retrieval Perspective

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:26:55.887278Z

Source-reported events for the cited work

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