Paper Citation Record · LEDGER

Debiasing Online Preference Learning via Preference Feature Preservation

As of 20 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.11098.

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

pith.paper-citation-record.v1
2506.11098 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:05:32.728004Z

measured 49 of 49 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

49 of 49 outbound references displayed

verified exact1
verified fuzzy0
unresolved48
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97cd3f7b-566b-455b-9cdd-a3f0b49084f3 · outbound

This paper cites online" 'onlinestring :=.

Debiasing Online Preference Learning via Preference Feature Preservation online" 'onlinestring :=

Reference 1

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Observation c393ac49-6827-468f-9471-6b4e1b397011 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation write newline

Reference 2

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Source-reported events for the cited work

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Observation b14c64b4-b5fe-4978-a3d5-703f650aecdc · outbound

This paper cites write newline.

Debiasing Online Preference Learning via Preference Feature Preservation write newline

Reference 3

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Source-reported events for the cited work

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Observation a67aad3a-e58a-4e61-a615-7a741689fdc0 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.532490Z

Source-reported events for the cited work

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Observation 2acc3515-d81f-4cc2-8512-0b46352bdb5c · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.518687Z

Source-reported events for the cited work

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Observation 44a430db-54fa-440b-b31f-c752a6d5620a · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Debiasing Online Preference Learning via Preference Feature Preservation A General Language Assistant as a Laboratory for Alignment

Reference 6

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Source-reported events for the cited work

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Observation 54f27b40-29ad-4e25-8375-2ab3cc997f5a · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.504015Z

Source-reported events for the cited work

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Observation 4638ed7e-9013-4d13-a010-f0d005282a97 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa1e298-330f-4b76-91a0-94a7d1af9242 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.479058Z

Source-reported events for the cited work

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Observation 39cd5008-b9f1-45cb-b3e0-b8c2368a4106 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 15bfb751-8677-430a-ba9e-c97906086dd8 · outbound

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

Debiasing Online Preference Learning via Preference Feature Preservation UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:32.567554Z

Source-reported events for the cited work

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Observation 37b32f76-af8f-48b6-844a-3ffdeb628b8b · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.452443Z

Source-reported events for the cited work

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Observation 14915f7f-eb95-403e-91cc-6af505725a08 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Debiasing Online Preference Learning via Preference Feature Preservation Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:32.576314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe05557-40df-4a4b-a544-a963a7750947 · outbound

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

Debiasing Online Preference Learning via Preference Feature Preservation RLHF Workflow: From Reward Modeling to Online RLHF

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:32.580792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67bf7084-0174-4fcb-99f5-a281574c56aa · outbound

This paper cites The Llama 3 Herd of Models.

Debiasing Online Preference Learning via Preference Feature Preservation The Llama 3 Herd of Models

Reference 15

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Source-reported events for the cited work

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Observation 0209bffc-0395-4431-9978-bde3421de69e · outbound

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

Debiasing Online Preference Learning via Preference Feature Preservation Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:32.589245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec8188f9-2433-4f22-a2bf-cdf944df81a2 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.438711Z

Source-reported events for the cited work

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Observation 4a59ccb9-e276-465a-8636-d63bbbbe37c0 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation af5dfd71-9369-4733-ac9b-992386de1f21 · outbound

This paper cites Mistral 7B.

Debiasing Online Preference Learning via Preference Feature Preservation Mistral 7B

Reference 19

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Source-reported events for the cited work

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Observation df7810e6-6911-4b53-9744-df9bc024dc31 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.412157Z

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Observation 231ed846-a0a5-4267-8112-b3975ad68ce0 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.399238Z

Source-reported events for the cited work

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Observation b44231d1-45fd-4c50-8cbb-88ba9410d503 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.385631Z

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Observation 2c603c55-2ae5-4eba-ab22-10ea4b4bced8 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.372321Z

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Observation 3955dbab-d44d-4b18-82f6-e7a3f4bea961 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.358683Z

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Observation 94169d60-021c-4f72-8000-9e67f334bd5d · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.343913Z

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Observation 7c27b1ca-6f27-474e-8f27-021ee75597fa · outbound

This paper cites Dissecting Human and LLM Preferences.

Debiasing Online Preference Learning via Preference Feature Preservation Dissecting Human and LLM Preferences

Reference 26

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Observation 4cd640aa-6fef-45cd-ab5a-98e22d37fa91 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Decoupled Weight Decay Regularization

Reference 27

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Source-reported events for the cited work

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Observation 6c8ed455-6fc1-4c28-9a79-47d7443ba863 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:33.330752Z

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Observation 0050e4e5-2c19-42df-b80a-5aefc823c192 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 134dfb4e-b7b2-4554-a56a-0ec9ccb4fb01 · outbound

This paper cites GPT-4 Technical Report.

Debiasing Online Preference Learning via Preference Feature Preservation GPT-4 Technical Report

Reference 30

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Observation 0d800e66-12e2-4516-a0b7-70f26436693b · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 31

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Observation c16bedea-7899-4537-b161-7e33e1cf8054 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 32

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Observation e3c64ba8-a585-434f-8d09-81744b4e0b12 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 33

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Observation 7ccfae8f-eb6d-4547-99b4-4b9439e73479 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 34

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Observation 0449bcc5-cd22-43c8-8a98-5a9be9064e05 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 35

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Observation 0fc2bec0-5495-40c1-a5e9-18cfb280fb3c · outbound

This paper cites Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences.

Debiasing Online Preference Learning via Preference Feature Preservation Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Reference 36

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Debiasing Online Preference Learning via Preference Feature Preservation A Long Way to Go: Investigating Length Correlations in RLHF

Reference 37

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Observation c1ca1cb8-b1c0-4130-afcc-3099e44ece02 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 38

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Observation 0b4f36e2-831a-4a94-b610-5e9d3d917d0f · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 39

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Observation 362a54b7-755f-4ab6-b9d8-4a615b1153db · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Debiasing Online Preference Learning via Preference Feature Preservation Gemini: A Family of Highly Capable Multimodal Models

Reference 40

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Observation 242ee8b0-5754-4c86-9e0e-6a9315e892ae · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Zephyr: Direct Distillation of LM Alignment

Reference 41

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Observation fdd9d55c-10bc-41fe-9be2-aeac5ce84b3b · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 42

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Observation 9192bb21-5105-4608-9b76-1f00beb25dc1 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 43

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Observation 0d0b9669-c8b2-4b83-8629-aa35d4e4397f · outbound

This paper cites Self-Play Preference Optimization for Language Model Alignment.

Debiasing Online Preference Learning via Preference Feature Preservation Self-Play Preference Optimization for Language Model Alignment

Reference 44

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Observation 944ea925-9df0-422d-bede-ecfb6cef2c23 · outbound

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Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 45

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Source-reported events for the cited work

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Observation 8a00e02c-ef7c-4cd6-b98f-5b30ad389630 · outbound

This paper cites Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss.

Debiasing Online Preference Learning via Preference Feature Preservation Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:32.715738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9520ea74-8889-43c0-bd1b-372e99a61b44 · outbound

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

Debiasing Online Preference Learning via Preference Feature Preservation SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 47

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Observation 0bea02bf-8970-4335-b3c0-29668a3e6023 · outbound

This paper cites an unresolved cited work.

Debiasing Online Preference Learning via Preference Feature Preservation Unresolved cited work

Reference 48

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Observation 385a7655-4429-4b52-86ac-4b787c317a94 · outbound

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

Debiasing Online Preference Learning via Preference Feature Preservation Fine-Tuning Language Models from Human Preferences

Reference 49

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Pith citing papers

No inbound Pith citation observations are available.