Paper Citation Record · LEDGER

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.17451.

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

pith.paper-citation-record.v1
2411.17451 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:23:50.023089Z

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

2
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 07bc4a16-2f98-491a-9d28-29b500f400ec · inbound

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment cites this paper.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.023089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b3665e-75b0-4ddd-b286-cf514d4af1b8 · inbound

Unified Reward Model for Multimodal Understanding and Generation cites this paper.

Unified Reward Model for Multimodal Understanding and Generation VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:44:30.937637Z

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 a47a3280-bb79-4785-b7ff-8a93183828c4 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:32:01.194932Z

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 33b32872-3a47-4d49-9582-00ed23d0e82a · inbound

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos cites this paper.

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:46.762139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd565f7-0142-4d59-aa9c-f1161f838f38 · inbound

RewardBench 2: Advancing Reward Model Evaluation cites this paper.

RewardBench 2: Advancing Reward Model Evaluation VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:22:16.810618Z

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 350c9168-2d72-4d6f-92d7-aba2d8543642 · inbound

MiMo-VL Technical Report cites this paper.

MiMo-VL Technical Report VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:14.123685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf97bcee-cb13-452b-a8e5-636f7213a605 · inbound

VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training cites this paper.

VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:33:54.034506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4bef8c0-b8c5-474b-8a7d-b23863924a88 · inbound

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents cites this paper.

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:43.531337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de18d49c-57ed-402f-a32f-3de92e04252b · inbound

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model cites this paper.

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:39.696801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a99e2e-16d4-4109-8098-4ff0b1785f3f · 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 VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:05:28.943625Z

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.