A Long Way to Go: Investigating Length Correlations in RLHF | Paper Citation Record

Observation fd3428c7-f9a8-4efb-8e9a-a8e07503d536 · inbound

Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework cites this paper.

Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework A Long Way to Go: Investigating Length Correlations in RLHF

Reference 176

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Observation bda6611a-462d-4a5e-a4f9-bfdf8590a683 · inbound

Interpreting Language Reward Models via Contrastive Explanations cites this paper.

Interpreting Language Reward Models via Contrastive Explanations A Long Way to Go: Investigating Length Correlations in RLHF

Reference 17

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Observation 34899596-ca26-4c55-96fb-253fc2dd3352 · inbound

Self-Generated Critiques Boost Reward Modeling for Language Models cites this paper.

Self-Generated Critiques Boost Reward Modeling for Language Models A Long Way to Go: Investigating Length Correlations in RLHF

Reference 45

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Observation 022c3f76-94d8-4d24-baa9-1edd7347be15 · inbound

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models cites this paper.

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models A Long Way to Go: Investigating Length Correlations in RLHF

Reference 50

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Observation 699e0a8f-d3cd-489a-b6e3-dfbdf36a16e7 · inbound

When Can Proxies Improve the Sample Complexity of Preference Learning? cites this paper.

When Can Proxies Improve the Sample Complexity of Preference Learning? A Long Way to Go: Investigating Length Correlations in RLHF

Reference 32

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Observation fb2ff56d-3b00-4d5a-b7bf-0229e9336553 · inbound

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis cites this paper.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis A Long Way to Go: Investigating Length Correlations in RLHF

Reference 28

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Observation 7baf5ce8-b921-4106-9d79-cf2c0f44a7b0 · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety A Long Way to Go: Investigating Length Correlations in RLHF

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:10.614544Z

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Observation 571b9802-8a55-474e-81c0-c2e5a4ec0f20 · inbound

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models cites this paper.

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models A Long Way to Go: Investigating Length Correlations in RLHF

Reference 22

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Observation 9d594349-e429-4e62-a5f7-ff968947da6e · inbound

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment cites this paper.

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment A Long Way to Go: Investigating Length Correlations in RLHF

Reference 56

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Observation 4974abf7-e451-4b7c-b3a2-52f85b3ce142 · inbound

Online Preference Alignment for Language Models via Count-based Exploration cites this paper.

Online Preference Alignment for Language Models via Count-based Exploration A Long Way to Go: Investigating Length Correlations in RLHF

Reference 56

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Observation 5e01346b-9df2-4ca3-b2cd-0c293fc45593 · inbound

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling cites this paper.

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

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Observation 7f7c52d3-b3d6-435b-9a49-90fde801f122 · inbound

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models cites this paper.

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models A Long Way to Go: Investigating Length Correlations in RLHF

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T23:18:40.210360Z

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Observation b5e176e0-f468-4289-ba89-d9ffca8f0654 · inbound

Copilot Arena: A Platform for Code LLM Evaluation in the Wild cites this paper.

Copilot Arena: A Platform for Code LLM Evaluation in the Wild A Long Way to Go: Investigating Length Correlations in RLHF

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T21:56:20.465030Z

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Observation 823f03aa-ab4a-4e29-9d59-69a72139f1aa · inbound

Preference learning made easy: Everything should be understood through win rate cites this paper.

Preference learning made easy: Everything should be understood through win rate A Long Way to Go: Investigating Length Correlations in RLHF

Reference 44

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Observation b57e7a6a-64d3-4f8a-b014-b0291c7ecc5c · inbound

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning cites this paper.

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T00:19:22.253420Z

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Observation bba7c405-e8ce-4887-a676-306ec8f27e85 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback A Long Way to Go: Investigating Length Correlations in RLHF

Reference 10

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Observation 6b1f4f8d-a4ec-484e-8542-d04f3331f5f3 · inbound

MPO: Multilingual Safety Alignment via Reward Gap Optimization cites this paper.

MPO: Multilingual Safety Alignment via Reward Gap Optimization A Long Way to Go: Investigating Length Correlations in RLHF

Reference 59

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Observation c90c595a-7ad6-4f05-85fa-4eaec3bd05a3 · inbound

Multi-Domain Explainability of Preferences cites this paper.

Multi-Domain Explainability of Preferences A Long Way to Go: Investigating Length Correlations in RLHF

Reference 69

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Observation a3844b5c-fc83-4018-b6a9-5f94054c4f26 · inbound

Debiasing Online Preference Learning via Preference Feature Preservation cites this paper.

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 5b442089-496d-4b5a-98ed-c8938c82a44c · inbound

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning cites this paper.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 22

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Observation 73af5cdd-1b0c-49a1-ad4f-8d4ee91000e7 · inbound

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control cites this paper.

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control A Long Way to Go: Investigating Length Correlations in RLHF

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:00:45.978822Z

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Observation 24e63f3c-ad87-44a4-b51f-3942077965e3 · inbound

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning cites this paper.

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T23:25:45.297132Z

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Observation 5536e894-0fde-41a3-a091-46ab96deea3a · inbound

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains cites this paper.

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains A Long Way to Go: Investigating Length Correlations in RLHF

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:56.839208Z

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Observation 44618efe-8da3-4200-a188-dd2b0be30815 · inbound

Factored Causal Representation Learning for Robust Reward Modeling in RLHF cites this paper.

Factored Causal Representation Learning for Robust Reward Modeling in RLHF A Long Way to Go: Investigating Length Correlations in RLHF

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:20:13.606475Z

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Observation 06669edc-9c7d-46b5-a87f-e90a72d29701 · inbound

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

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation A Long Way to Go: Investigating Length Correlations in RLHF

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:44.349733Z

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Observation 4182d5ab-7695-4523-805c-a384433e185d · inbound

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling cites this paper.

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling A Long Way to Go: Investigating Length Correlations in RLHF

Reference 2017

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Observation 7e485b73-f283-4343-adc9-cc9062d905b9 · inbound

Same Words, Different Judgments: How Preferences Vary Across Modalities cites this paper.

Same Words, Different Judgments: How Preferences Vary Across Modalities A Long Way to Go: Investigating Length Correlations in RLHF

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:36:33.025808Z

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Observation 7d7e801c-58d9-4e73-828a-34b0499054ed · inbound

Grounded Chess Reasoning in Language Models via Master Distillation cites this paper.

Grounded Chess Reasoning in Language Models via Master Distillation A Long Way to Go: Investigating Length Correlations in RLHF

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-13T21:26:43.149095Z

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Observation 13e706f7-5350-42c3-acef-a4f37a21c5d3 · inbound

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models cites this paper.

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models A Long Way to Go: Investigating Length Correlations in RLHF

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:16.846395Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb6bad19-b6c0-470f-90d7-156a88a82d12 · inbound

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges A Long Way to Go: Investigating Length Correlations in RLHF

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:00:28.520666Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5703def-dd90-49d8-8885-be064697dd6a · inbound

Robust Reward Modeling for Large Language Models via Causal Decomposition cites this paper.

Robust Reward Modeling for Large Language Models via Causal Decomposition A Long Way to Go: Investigating Length Correlations in RLHF

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:00:29.614432Z

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Observation 247c5220-c7e8-4d73-8e78-925f1bbfb5f3 · 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 A Long Way to Go: Investigating Length Correlations in RLHF

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:26:27.556587Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df56be47-4138-4850-ae37-4b4363f25a25 · inbound

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

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs A Long Way to Go: Investigating Length Correlations in RLHF

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:54:16.716341Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da880bd9-6413-4078-b427-eb13109afe13 · inbound

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification cites this paper.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification A Long Way to Go: Investigating Length Correlations in RLHF

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.374651Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4a8e0f9-5531-4d4e-b214-f3b43b419a14 · inbound

Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training cites this paper.

Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training A Long Way to Go: Investigating Length Correlations in RLHF

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:32:24.323187Z

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Observation 793a6de8-4a36-483c-8c96-0eca0a88efe2 · inbound

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination cites this paper.

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination A Long Way to Go: Investigating Length Correlations in RLHF

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T18:02:42.351806Z

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Observation aacc4150-6bc4-421e-8d49-e55e0eda8a76 · inbound

Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders cites this paper.

Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders A Long Way to Go: Investigating Length Correlations in RLHF

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.113914Z

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Observation ba470ddb-b949-421d-9f72-ae3edd45db43 · inbound

General Preference Reinforcement Learning cites this paper.

General Preference Reinforcement Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:48:17.700027Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76522607-8b4f-426f-a9a5-41d61fd44997 · inbound

General Preference Reinforcement Learning cites this paper.

General Preference Reinforcement Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:54:02.903499Z

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Observation 860c78bb-120c-4aaa-ab83-a06d8f332584 · inbound

General Preference Reinforcement Learning cites this paper.

General Preference Reinforcement Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:24:45.692068Z

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Observation 9c15c34c-e713-4b2c-869e-825dca8795c8 · inbound

Fine-Tuning Improves Information Conveyance in Language Models cites this paper.

Fine-Tuning Improves Information Conveyance in Language Models A Long Way to Go: Investigating Length Correlations in RLHF

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.635308Z

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Observation 24dd6509-284b-4608-be64-273d1da92917 · inbound

HARVE: Hacking-Aware Reward-Head Vector Editing for Robust Reward Models cites this paper.

HARVE: Hacking-Aware Reward-Head Vector Editing for Robust Reward Models A Long Way to Go: Investigating Length Correlations in RLHF

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:46:26.825310Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8624b820-36b4-4fcf-8606-1021e9b205ae · inbound

Large Language Models Hack Rewards, and Society cites this paper.

Large Language Models Hack Rewards, and Society A Long Way to Go: Investigating Length Correlations in RLHF

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:46:26.991887Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fba79bae-8cef-4297-9bb8-9c4fe7ed7e51 · inbound

Human agency in initial human-AI proof formalization workflows cites this paper.

Human agency in initial human-AI proof formalization workflows A Long Way to Go: Investigating Length Correlations in RLHF

Reference 297

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T04:06:34.867868Z

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Observation e8546286-d4ec-4628-9077-4670da119ae9 · inbound

AIP: A Graph Representation for Learning and Governing Agent Skills cites this paper.

AIP: A Graph Representation for Learning and Governing Agent Skills A Long Way to Go: Investigating Length Correlations in RLHF

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:36:47.772402Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4322c478-5d0e-4084-9a60-68818d879b10 · inbound

Boosting Self-Consistency with Ranking cites this paper.

Boosting Self-Consistency with Ranking A Long Way to Go: Investigating Length Correlations in RLHF

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T06:51:44.326365Z

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Observation 27d1cab7-fd2c-4458-88ae-476ae13a737a · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling A Long Way to Go: Investigating Length Correlations in RLHF

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.623629Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0733ceff-fd0a-4cca-af74-700a880fc8c7 · inbound

A Unifying Lens on Reward Uncertainty in RLHF cites this paper.

A Unifying Lens on Reward Uncertainty in RLHF A Long Way to Go: Investigating Length Correlations in RLHF

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:27:29.828062Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8eaf8cee-75bb-42df-bc50-f16fd6e34f46 · inbound

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization cites this paper.

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization A Long Way to Go: Investigating Length Correlations in RLHF

Reference 263

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:37:30.510079Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 567ca9a4-00b3-4f25-bd9d-3914b2a0ac2b · inbound

Are LLMs Bad at Moral Reasoning? cites this paper.

Are LLMs Bad at Moral Reasoning? A Long Way to Go: Investigating Length Correlations in RLHF

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:18:12.661096Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 879baf7e-c75c-44cb-ac42-e2b1b5283fb9 · inbound

Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning cites this paper.

Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.830653Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 018f614d-34df-478e-9f14-e90945783695 · inbound

Safe to Check, Unsafe to Use: Relinking at the Compression Boundary of LLM Agents cites this paper.

Safe to Check, Unsafe to Use: Relinking at the Compression Boundary of LLM Agents A Long Way to Go: Investigating Length Correlations in RLHF

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:29:39.123429Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9c2fe608-fda4-420c-983c-7e2db25faa88 · inbound

BabelJudge: Measuring LLM-as-a-Judge Reliability Across Languages and Agent Trajectories cites this paper.

BabelJudge: Measuring LLM-as-a-Judge Reliability Across Languages and Agent Trajectories A Long Way to Go: Investigating Length Correlations in RLHF

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:49:41.493565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 83f3ef1f-c4fa-4943-8d0e-a742b4e7142b · inbound

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation cites this paper.

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation A Long Way to Go: Investigating Length Correlations in RLHF

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:07.164699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b4ceae58-6152-4a00-b8e1-c7389e305a3a · inbound

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation cites this paper.

Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation A Long Way to Go: Investigating Length Correlations in RLHF

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:39.580781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03d1d8a0-9e02-4791-b5f4-f5df460b8a94 · inbound

Attention Limited Reward Learning cites this paper.

Attention Limited Reward Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T16:47:52.768236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fad3a143-a4bd-4dc4-9ba6-2eac61ce336e · inbound

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges cites this paper.

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges A Long Way to Go: Investigating Length Correlations in RLHF

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-08T21:25:38.638530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b333ee2-fdde-45d5-8f8d-ccbc3e91ba2d · inbound

Style over Substance: A Shortcut Audit of Emotion-Description Preference Evaluation cites this paper.

Style over Substance: A Shortcut Audit of Emotion-Description Preference Evaluation A Long Way to Go: Investigating Length Correlations in RLHF

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:17:58.814427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e5f632-57cd-45c6-84be-0c6db6879aa0 · inbound

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists cites this paper.

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists A Long Way to Go: Investigating Length Correlations in RLHF

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:20.503770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2cbe56d-c148-4c65-b989-9cd4ecd9fb20 · inbound

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists cites this paper.

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists A Long Way to Go: Investigating Length Correlations in RLHF

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T17:43:23.532685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers