Paper Citation Record · LEDGER

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 3 inbound Pith citation observations for arXiv:2502.00814.

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

pith.paper-citation-record.v1
2502.00814 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:46:29.322067Z

measured 60 of 60 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T09:40:58.067398Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:42:14.018543Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy3
unresolved54
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e56f5ee-7e9f-43eb-a339-7cec12a716b0 · outbound

This paper cites GPT-4 Technical Report.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.116171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e687054-2d8a-4129-afdf-829a66dce354 · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.120431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d39e875-6eee-42c7-b8b1-e0d907b9e23a · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Constitutional AI: Harmlessness from AI Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.124817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1851354-1fa4-40e3-b08d-319ce8a0f1b7 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.128796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 639fa08c-a265-4ea5-8b7e-60be1ec09e59 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.132420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 895328f6-ddd7-41ce-bd66-3f7585ec7d44 · outbound

This paper cites Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, and 13 others.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, and 13 others

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:46:29.902546Z

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 5e2afa0f-02b2-4f15-b42a-8db7b9025f3f · outbound

This paper cites Noise Contrastive Alignment of Language Models with Explicit Rewards.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Noise Contrastive Alignment of Language Models with Explicit Rewards

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.139910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b53fb7d2-d286-4eab-9a26-13e94c5e1500 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.892194Z

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 90e4d899-9355-48da-9094-f0bca6d4f7ff · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.147056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01613714-7209-4ffd-9a3b-3301336890b3 · outbound

This paper cites The Llama 3 Herd of Models.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.150402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b1f528-7d4a-43d9-a2b4-282d6622d2cb · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.154202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b68a731-4f52-4543-82ab-7af54c4d0614 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.874901Z

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 e9650ee8-d8bd-418b-aa70-d80e0581fa81 · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling KTO: Model Alignment as Prospect Theoretic Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.161466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32ba3a61-ea14-4c2d-a423-e7d232e4e000 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.165055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48bd23ca-8018-44b6-bd0e-0f42d18fcf4d · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.168467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f09260-d306-4ede-8fe5-6f7ccad15201 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.171987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a113081c-5738-4ae5-b925-73739651f750 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.175463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9fa1fa6-77fe-4932-b1a5-42ca979a86ca · outbound

This paper cites GPT-4o System Card.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling GPT-4o System Card

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.178757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93666958-02ac-4f04-aad1-5e24a011bbba · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.851094Z

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 8189cc2d-8c2e-48a8-a87d-38025becc9b4 · outbound

This paper cites Smith, Yejin Choi, and Hannaneh Hajishirzi.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Smith, Yejin Choi, and Hannaneh Hajishirzi

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:46:29.840025Z

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 6f5e6ebf-4922-4756-ba64-7020c4f606e1 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.828400Z

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 8781ca82-6335-4fac-8dfc-b7b335b52a1c · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.193590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd90ed0-67ab-4ecf-a737-3d6991d3750e · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R \.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling o pf, Yannic Kilcher, Dimitri von R \

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:46:29.818069Z

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 c6244b72-6611-425a-9530-51d8f06b9be6 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.200234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d995181b-647d-4fa4-aa1f-7ba9fa2467c6 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.807852Z

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 18fe0b8c-1553-4484-875b-0d72e477049e · outbound

This paper cites The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.206702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c49e95d-6763-498a-b9ae-8338a9fdac8a · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling RewardBench: Evaluating Reward Models for Language Modeling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.210313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deed4d9b-04f2-4c85-aaf5-3b5df0d3df2c · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.213913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93579785-6e5e-480c-98ef-d69d6e2fc840 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.797693Z

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 f75e4305-dbf3-4c81-9146-00684ed25f74 · outbound

This paper cites LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.220861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86bd11ef-ef1d-460a-9c8a-e014d7947641 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.224467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16dc55fe-fe52-4719-84a2-43320d48ddf1 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.228268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132237d9-77a9-4f51-8cea-c6efd0fd23e7 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.780132Z

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 5bb56b2a-80fe-4d09-bf07-d307e47eea2f · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Disentangling Length from Quality in Direct Preference Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.235461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1da4260-4dd8-41f0-beab-a4499c2decb1 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.242728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ed2454-363a-430c-b1c0-d2f248191382 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.246805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 988612c6-fb9c-4508-8a18-3d04be348795 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.762929Z

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 ff9b348c-7716-48ce-b735-f284b88385fd · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.253981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd98b722-028c-4980-8079-1ceae83db87f · outbound

This paper cites WARM: On the Benefits of Weight Averaged Reward Models.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling WARM: On the Benefits of Weight Averaged Reward Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.257425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372f1231-5464-4e35-a624-9d8cdafa3132 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Proximal Policy Optimization Algorithms

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.260970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f7d9d3-3b58-4538-a665-abd9caa2bc19 · outbound

This paper cites Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.264777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d7361c-5354-4e99-83d3-a0503e86928a · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.746397Z

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 5e01346b-9df2-4ca3-b2cd-0c293fc45593 · outbound

This paper cites A Long Way to Go: Investigating Length Correlations in RLHF.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling A Long Way to Go: Investigating Length Correlations in RLHF

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.272056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1566380e-2250-4489-8b79-5214692ccddc · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.735480Z

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 51a0f741-798b-4b3a-aec1-31155760caea · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.278935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c63ca5-29e6-45f7-be52-9c311174f437 · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Gemini: A Family of Highly Capable Multimodal Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.282181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f4e3dc2-949e-4e33-a572-987686e0971a · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.285926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ef00cd-320d-4638-9330-b947142d06bf · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.289278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98cbafc3-e6d1-4391-ad86-82a413e2baba · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:46:29.712191Z

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 1a0f8728-8f31-4002-8b7b-e39d4c193fba · outbound

This paper cites Qwen2 Technical Report.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Qwen2 Technical Report

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.295841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae705c90-d7b1-4065-86eb-f4a8027ba4af · outbound

This paper cites DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.299748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 671d4dca-2f6d-4b70-9a05-76c3579da0d1 · outbound

This paper cites Following Length Constraints in Instructions.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Following Length Constraints in Instructions

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.303481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b96025-ddea-4fdc-8cb8-39c29ce3ccd9 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.307123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c349acb-28db-4358-b755-102c3c8626a4 · outbound

This paper cites an unresolved cited work.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.310451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37292ebc-18f4-4ea9-91dd-c8adcabab1c6 · outbound

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

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Fine-Tuning Language Models from Human Preferences

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.313959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34222efa-989c-4f61-ab43-5acd0b07059e · outbound

This paper cites online" 'onlinestring :=.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling online" 'onlinestring :=

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.317766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f722cb3-3e73-4e09-abb8-92656311dea5 · outbound

This paper cites write newline.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling write newline

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.322067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 02c42889-d3d5-4bcb-b8e2-d9ce36aaa618 · inbound

Exploring the Secondary Risks of Large Language Models cites this paper.

Exploring the Secondary Risks of Large Language Models Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:42:14.020377Z

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 35d456f8-5298-4500-804d-5153ae5aaa8e · inbound

Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction cites this paper.

Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:26:27.559015Z

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Observation 7f107fd6-152e-4728-859a-cb51dd97adeb · inbound

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs cites this paper.

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:16:09.497274Z

Source-reported events for the cited work

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