Paper Citation Record · LEDGER

Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.14191.

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

pith.paper-citation-record.v1
2502.14191 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:19.719944Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bbd64e70-7770-4536-8d60-02c2d38e2c38 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:32:01.167091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1319239b-82a9-44d7-822c-8d284f2c19fd · inbound

RewardBench 2: Advancing Reward Model Evaluation cites this paper.

RewardBench 2: Advancing Reward Model Evaluation Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:22:16.608330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f95da42-0fbe-49f0-b7a7-b9d955e24ffa · inbound

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark cites this paper.

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:05:19.719944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2908560-f838-4916-a340-625aab08f338 · inbound

Activation Reward Models for Few-Shot Model Alignment cites this paper.

Activation Reward Models for Few-Shot Model Alignment Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:42.505501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf78738-ebe9-47ea-8cec-8709444bdde9 · inbound

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations cites this paper.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:27.091213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d46e00-8265-46f7-9b5d-b82fb86938ac · 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 Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:44.967292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2c75f4-4926-474b-a789-d457d18ac3e6 · inbound

Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation cites this paper.

Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T19:56:32.626573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109f52c6-f545-4e49-bd84-c8daf21b16f3 · inbound

Visual Preference Optimization with Rubric Rewards cites this paper.

Visual Preference Optimization with Rubric Rewards Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:00.849378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad5abe45-5d39-4f6f-90c2-04f93480da09 · inbound

Lost in Translation: Do LVLM Judges Generalize Across Languages? cites this paper.

Lost in Translation: Do LVLM Judges Generalize Across Languages? Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:05.856802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4daae0a-28c5-47f7-bf5e-79d00ad236eb · inbound

DT2IT-MRM: Debiased Preference Construction and Iterative Training for Multimodal Reward Modeling cites this paper.

DT2IT-MRM: Debiased Preference Construction and Iterative Training for Multimodal Reward Modeling Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:03.893380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0301289b-53ba-42bb-a78a-9253bb63f7ef · inbound

Building a Precise Video Language with Human-AI Oversight cites this paper.

Building a Precise Video Language with Human-AI Oversight Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:04.512494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation def1d5e6-910a-4f5e-8dea-a6d3c493f332 · inbound

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models cites this paper.

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:58.316951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a2bc0ff-d920-4e03-8077-660d03fc6295 · inbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.318015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c822b84-a066-493a-a62b-baf5fcfee596 · inbound

QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents cites this paper.

QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T06:05:29.027260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.