Paper Citation Record · LEDGER

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 23 inbound Pith citation observations for arXiv:2505.02835.

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

pith.paper-citation-record.v1
2505.02835 v2

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:55.083191Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:04.359664Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:29.062496Z

Reference resolution

78 of 78 outbound references displayed

verified exact0
verified fuzzy69
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb3da6f0-176d-4687-8ed3-ea513e5b55e9 · outbound

This paper cites Pixtral 12b.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Pixtral 12b.arXiv, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.625774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5159fb98-5c63-4e79-b22a-264fd0f65345 · outbound

This paper cites Qwen2.5-vl technical report.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Qwen2.5-vl technical report

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.606516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5b7fb8ec-7d7d-4531-92af-255041bfeb12 · outbound

This paper cites Mllm-as-a-judge: Assessing multimodal llm-as- a-judge with vision-language benchmark.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Mllm-as-a-judge: Assessing multimodal llm-as- a-judge with vision-language benchmark

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T00:45:55.286878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0847718-5782-4db8-81f8-7a6fe733c833 · outbound

This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.arXiv, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.593108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb81d020-4d5d-42e8-90a3-e340f87c56a3 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.arXiv, 2023.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.arXiv, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.579108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b712200-ce9d-4d5c-ab84-7d5071faebce · outbound

This paper cites Sft memorizes, rl generalizes: A comparative study of foundation model post-training.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Sft memorizes, rl generalizes: A comparative study of foundation model post-training.arXiv, 2025

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.564393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 144d6781-ff14-453b-ae5c-76e5569b233d · outbound

This paper cites Process reinforcement through implicit rewards.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Process reinforcement through implicit rewards.arXiv, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.551719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f7225c0-7e6d-4c92-b7b8-6ddfbaf51743 · outbound

This paper cites Nvlm: Open frontier-class multimodal llms.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Nvlm: Open frontier-class multimodal llms.arXiv, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.539203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b45b43a4-1f50-4f86-9368-af0f72100062 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.arXiv, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.514826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3b754c6-3549-447f-9814-4726b341c733 · outbound

This paper cites Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models.arXiv, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.495121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06880698-8e6f-4e08-831d-1c0a50aa2d42 · outbound

This paper cites Video-r1: Reinforcing video reasoning in mllms.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Video-r1: Reinforcing video reasoning in mllms.arXiv, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.478824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 044552c2-92d9-409b-9fff-637ec2c0412c · outbound

This paper cites Vita: Towards open-source interactive omni multimodal llm.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Vita: Towards open-source interactive omni multimodal llm.arXiv, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.463839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e1422f8-75f4-4421-9ba1-bebec8f9aac1 · outbound

This paper cites Vita-1.5: Towards gpt-4o level real-time vision and speech interaction.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Vita-1.5: Towards gpt-4o level real-time vision and speech interaction.arXiv, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.446471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94e1e321-9c7f-4ae4-bf68-276b742b1f0c · outbound

This paper cites Mme-survey: A comprehensive survey on evaluation of multimodal llms.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Mme-survey: A comprehensive survey on evaluation of multimodal llms.arXiv, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.433285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8504d21-e52b-4733-9ac5-ffdf864ceb6c · outbound

This paper cites Trips to the zoo last year.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Trips to the zoo last year

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.420023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf6781c0-2064-4d0d-b120-a3bf4e541ef6 · outbound

This paper cites The question asks for the number of members who went to the zoo fewer than 2 times.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning The question asks for the number of members who went to the zoo fewer than 2 times

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.406618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe3fca72-1f83-4d48-8cd2-7d375d2ee741 · outbound

This paper cites Trips to the zoo last year.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Trips to the zoo last year

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.391366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 22bf5ec8-3028-4ca4-9873-d7ad5d388c63 · outbound

This paper cites How many members went to the zoo fewer than 2 times?.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning How many members went to the zoo fewer than 2 times?

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.372692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f55effb-6617-47ee-be73-09c9c8f5733c · outbound

This paper cites fewer than 2 times.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning fewer than 2 times

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.351935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a0510bc8-d4cd-4edd-a30d-f1790e2e30b8 · outbound

This paper cites fewer than 2 times.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning fewer than 2 times

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.334667Z

Source-reported events for the cited work

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Observation 651623cd-0644-4741-83a2-2d1a7ba97fc0 · outbound

This paper cites Fewer Than.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Fewer Than

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.316276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55a16e12-8896-4a63-9fd4-b821f7c694d2 · outbound

This paper cites </think> <answer>2</answer> R1-Reward Re�lection patterns! Figure 6:An example of the R1-Reward output.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning </think> <answer>2</answer> R1-Reward Re�lection patterns! Figure 6:An example of the R1-Reward output

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.295886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97d8f434-e052-4cc0-b888-6e8d90a513c4 · outbound

This paper cites Openrlhf: An easy-to-use, scalable and high-performance rlhf framework.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Openrlhf: An easy-to-use, scalable and high-performance rlhf framework.arXiv, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.281527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 75fe7630-2955-4703-8b7e-5f45e6a14300 · outbound

This paper cites Vision-r1: Incentivizing reasoning capability in multimodal large language models.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Vision-r1: Incentivizing reasoning capability in multimodal large language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.262438Z

Source-reported events for the cited work

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Observation 392f5164-3226-40b1-9fde-d910ea6e82f5 · outbound

This paper cites Minimax-01: Scaling foundation models with lightning attention.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Minimax-01: Scaling foundation models with lightning attention.arXiv, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.245856Z

Source-reported events for the cited work

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Observation b8fa6320-d3dd-4f88-a8f9-f2189aa021ce · outbound

This paper cites Llava-onevision: Easy visual task transfer.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Llava-onevision: Easy visual task transfer.arXiv, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.225446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 285971ee-67f0-456f-8969-b20fce5f2c7e · outbound

This paper cites Vision-language intelligence: Tasks, representation learning, and large models.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Vision-language intelligence: Tasks, representation learning, and large models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.205364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06d1bb01-8744-4a2c-b76f-9d2877b485b1 · outbound

This paper cites Vlrewardbench: A challenging benchmark for vision-language generative reward models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Vlrewardbench: A challenging benchmark for vision-language generative reward models.arXiv, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.182797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d80e271e-652e-4fdc-a78e-8e2a3234084b · outbound

This paper cites Silkie: Preference distillation for large visual language models.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Silkie: Preference distillation for large visual language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.168284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 326f4dbd-c8ec-4924-ab5d-a171f74e2e4f · outbound

This paper cites Baichuan-omni-1.5 technical report.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Baichuan-omni-1.5 technical report.arXiv, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.154717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4856f6d7-c358-461e-be78-df354c8dabe9 · outbound

This paper cites Skywork-reward: Bag of tricks for reward modeling in llms.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Skywork-reward: Bag of tricks for reward modeling in llms.arXiv, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.138876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6201145-dadc-4886-a7a3-143e5c127ca4 · outbound

This paper cites Understanding r1-zero-like training: A critical perspective.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Understanding r1-zero-like training: A critical perspective.arXiv, 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.116111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3f3550a-d01d-4233-96c2-6d4f473e9a48 · outbound

This paper cites Inference-time scaling for generalist reward modeling.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Inference-time scaling for generalist reward modeling.arXiv, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:54.791273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c03cab-f52f-442a-824e-e8f9b52ff860 · outbound

This paper cites Visual-rft: Visual reinforcement fine-tuning.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Visual-rft: Visual reinforcement fine-tuning.arXiv, 2025

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.085846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa51adfd-45af-4502-b78c-2158638a176b · outbound

This paper cites Uncertainty-aware reward model: Teaching reward models to know what is unknown.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Uncertainty-aware reward model: Teaching reward models to know what is unknown.arXiv, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.071826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a1d03dc-ffae-4dc0-9404-fceadd76089b · outbound

This paper cites Dama: Data- and model-aware alignment of multi-modal llms.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Dama: Data- and model-aware alignment of multi-modal llms.arXiv, 2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.053529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2dc2cd77-b5b7-4c09-8597-2f7d6b6ab41b · outbound

This paper cites Wildvision: Evaluating vision-language models in the wild with human preferences.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Wildvision: Evaluating vision-language models in the wild with human preferences.arXiv, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.032286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e9e9852-610b-449f-b8ab-4623c874f83e · outbound

This paper cites Mm-eureka: Exploring visual aha moment with rule-based large-scale reinforcement learning.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Mm-eureka: Exploring visual aha moment with rule-based large-scale reinforcement learning.arXiv, 2025

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:56.016283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4752bed-97a4-42c5-ac4a-fecb68d08260 · outbound

This paper cites Inf-orm-llama3.1-70b, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Inf-orm-llama3.1-70b, 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:54.829038Z

Source-reported events for the cited work

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Observation 2e3de1cc-1edb-4a45-bd67-db7abbb59b52 · outbound

This paper cites Introducing openai o1-preview.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Introducing openai o1-preview

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.988798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb282e8e-29ee-426b-884f-ae9e8b78b4ad · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 2022.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Training language models to follow instructions with human feedback.Advances in neural information processing systems, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.975346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b6e2fd9-13df-4532-89a5-3948b032c380 · outbound

This paper cites an unresolved cited work.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:55.958613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 869b177d-1f3a-4b6d-8dd5-9c71d98604e6 · outbound

This paper cites Lmm-r1: Empowering 3b lmms with strong reasoning abilities through two-stage rule-based rl.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Lmm-r1: Empowering 3b lmms with strong reasoning abilities through two-stage rule-based rl.arXiv, 2025

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.937245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7337b76c-517e-43ca-912c-a73aef08800f · outbound

This paper cites Judge anything: Mllm as a judge across any modality.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Judge anything: Mllm as a judge across any modality.arXiv, 2025

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.909795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 59d9b895-07e9-4d3a-911b-907cf7295574 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Direct preference optimization: Your language model is secretly a reward model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:54.859765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9a62a2-969f-4ca0-9829-5f8e11288e03 · outbound

This paper cites Tapered off-policy reinforce: Stable and efficient reinforcement learning for llms.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Tapered off-policy reinforce: Stable and efficient reinforcement learning for llms.arXiv, 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.882684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17647f99-f08e-4d4e-a706-ee3db05d3947 · outbound

This paper cites Proximal Policy Optimization Algorithms.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:54.873206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c898939a-3f5d-483c-a4c6-69dd25cbf92d · outbound

This paper cites A survey of deep reinforcement learning in video games.arXiv, 2019.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning A survey of deep reinforcement learning in video games.arXiv, 2019

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.867920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 457ef7e6-6e07-4bc2-9fa9-64107bb3c4d0 · outbound

This paper cites an unresolved cited work.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:55.854657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76f93430-e0ee-4ea5-ae70-015f30d53ed1 · outbound

This paper cites Deepseekmath: Pushing the limits of mathematical reasoning in open language models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Deepseekmath: Pushing the limits of mathematical reasoning in open language models.arXiv, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.833166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f074774-1988-4478-bde0-7de7fde38731 · outbound

This paper cites Vlm-r1: A stable and generalizable r1-style large vision-language model.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Vlm-r1: A stable and generalizable r1-style large vision-language model.arXiv, 2025

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:54.894302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6c7e1b-0bd9-40ff-a58d-7409a260058f · outbound

This paper cites Long-vita: Scaling large multi-modal models to 1 million tokens with leading short-context accuracy, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Long-vita: Scaling large multi-modal models to 1 million tokens with leading short-context accuracy, 2025

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.798113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 507636cd-09ca-41fa-92d9-0ec6824fff84 · outbound

This paper cites Reinforcement learning in robotic applications: a comprehensive survey.Artificial Intelligence Review, 2022.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Reinforcement learning in robotic applications: a comprehensive survey.Artificial Intelligence Review, 2022

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.780791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a16e692-3fd3-45e0-b64f-413706271031 · outbound

This paper cites Aligning large multimodal models with factually augmented rlhf.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Aligning large multimodal models with factually augmented rlhf

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:54.912547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dad2849-615c-4abd-8f29-f012d87d53ae · outbound

This paper cites Chameleon: Mixed-modal early-fusion foundation models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Chameleon: Mixed-modal early-fusion foundation models.arXiv, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.755070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f205254f-772b-40fc-b5fa-c5387f33c3fb · outbound

This paper cites The llama 3 herd of models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning The llama 3 herd of models.arXiv, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.737732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc20a886-4df0-495b-b118-778fff32e309 · outbound

This paper cites Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution.arXiv, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.711585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9f27689-2eff-49bc-8524-5af18b0daec5 · outbound

This paper cites Visualprm: An effective process reward model for multimodal reasoning, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Visualprm: An effective process reward model for multimodal reasoning, 2025

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.686727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8bfa70aa-7d6a-4bfa-88e1-3093e4ae0726 · outbound

This paper cites Zhang, Makesh Narsimhan Sreedhar, and Oleksii Kuchaiev.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Zhang, Makesh Narsimhan Sreedhar, and Oleksii Kuchaiev

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.661167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33151fcb-0fc7-4b94-9f69-18902dc4b638 · outbound

This paper cites Show-o: One single transformer to unify multimodal understanding and generation.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Show-o: One single transformer to unify multimodal understanding and generation.arXiv, 2024

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.637820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bdcbe9c-c530-49d5-855a-d4da9a6385d0 · outbound

This paper cites Logic-rl: Unleashing llm reasoning with rule-based reinforcement learning.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Logic-rl: Unleashing llm reasoning with rule-based reinforcement learning.arXiv, 2025

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.619227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83dec038-2016-4f86-ab72-e0c84b32dceb · outbound

This paper cites Mme-unify: A comprehensive benchmark for unified multimodal understanding and generation models.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Mme-unify: A comprehensive benchmark for unified multimodal understanding and generation models.arXiv, 2025

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.601489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 62d898d1-0f5f-400c-bd3e-362c787d7758 · outbound

This paper cites Llava-critic: Learning to evaluate multimodal models.CVPR, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Llava-critic: Learning to evaluate multimodal models.CVPR, 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.584491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 528c7a75-1878-4df9-81af-e5c079fea70f · outbound

This paper cites Multimodal rewardbench: Holistic evaluation of reward models for vision language models.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Multimodal rewardbench: Holistic evaluation of reward models for vision language models.arXiv, 2025

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.569880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aac0d211-846d-40c9-bf9c-573071b2b175 · outbound

This paper cites Dapo: An open-source llm reinforcement learning system at scale.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Dapo: An open-source llm reinforcement learning system at scale.arXiv, 2025

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.555225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b1c8a2e-6e2b-4d99-8b1e-3cfc264d91c1 · outbound

This paper cites Aligning multimodal llm with human preference: A survey.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Aligning multimodal llm with human preference: A survey.arXiv, 2025

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.538884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03ce78c1-5db6-425f-8db2-685505623d6b · outbound

This paper cites Rlaif-v: Open-source ai feedback leads to super gpt-4v trustworthiness.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Rlaif-v: Open-source ai feedback leads to super gpt-4v trustworthiness

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.519764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4c0cb6f-f282-4512-a554-0d768cfa02f0 · outbound

This paper cites Self-generated critiques boost reward modeling for language models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Self-generated critiques boost reward modeling for language models.arXiv, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.503179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92cec4b3-6936-4796-84eb-a3167730e1bd · outbound

This paper cites Internlm-xcomposer2.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Internlm-xcomposer2

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.481839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4f051c1-a2b4-4033-9295-a45670e74357 · outbound

This paper cites Benchmarking large multimodal models against common corruptions.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Benchmarking large multimodal models against common corruptions.arXiv, 2024

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.465118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81a79dd1-9db7-4108-b271-b5e2f1600257 · outbound

This paper cites Llava-mini: Efficient image and video large multimodal models with one vision token, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Llava-mini: Efficient image and video large multimodal models with one vision token, 2025

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.449361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a458172-c9d5-42e8-a7ef-af9a43e89d8f · outbound

This paper cites Beyond llava-hd: Diving into high-resolution large multimodal models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Beyond llava-hd: Diving into high-resolution large multimodal models.arXiv, 2024

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.433664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2f11ca7-88fe-4900-b21a-5a96a4474275 · outbound

This paper cites Mm-rlhf: The next step forward in multimodal llm alignment.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Mm-rlhf: The next step forward in multimodal llm alignment.arXiv, 2025

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.418170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f1a756e-2a93-42a6-94a1-2a6725489171 · outbound

This paper cites Debiasing multimodal large language models.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Debiasing multimodal large language models.arXiv, 2024

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.402478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db63b4c7-af3e-4e00-a030-5eb62b81ff64 · outbound

This paper cites Mme-realworld: Could your multimodal llm challenge high-resolution real-world scenarios that are difficult for humans?ICLR, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Mme-realworld: Could your multimodal llm challenge high-resolution real-world scenarios that are difficult for humans?ICLR, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.383192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 256abbf7-03c3-4ec7-8b47-95948fded276 · outbound

This paper cites R1-omni: Explainable omni-multimodal emotion recognition with reinforcing learning.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning R1-omni: Explainable omni-multimodal emotion recognition with reinforcing learning.arXiv, 2025

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.349884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5eda74c5-2b04-4faa-bdf5-5a5b47387517 · outbound

This paper cites Aligning modalities in vision large language models via preference fine-tuning.arXiv, 2024.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Aligning modalities in vision large language models via preference fine-tuning.arXiv, 2024

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.327768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 254773cd-5e44-4800-a0f5-5b7d39e966bc · outbound

This paper cites Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models.arXiv, 2025.

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models.arXiv, 2025

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:55.307320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation e582f9d6-11e4-4597-8b15-4d8479bce771 · inbound

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games cites this paper.

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:04.359664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c8f6167-1acb-41c8-b638-8ff1fd1d1978 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:22.005729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aecb0807-75d4-4cd1-9858-fbf31d88585b · inbound

Reason-SVG: Enhancing Structured Reasoning for Vector Graphics Generation with Reinforcement Learning cites this paper.

Reason-SVG: Enhancing Structured Reasoning for Vector Graphics Generation with Reinforcement Learning R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:02:18.180265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c512187-0b0e-4e92-b81e-804a018e0106 · inbound

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

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:05:19.779262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c14f5cbe-4c50-4d78-8a14-f4c8a8024c93 · 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 R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:39.958836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f2a4b8-a266-44fe-b9f7-48d2ba1cb883 · inbound

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning cites this paper.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:25.091160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb148a72-3212-457f-8a67-f271635f405f · inbound

Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models cites this paper.

Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T03:37:50.232604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e55930e-bd20-4101-a527-91a1f656848d · 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 R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T19:56:33.297932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f7ae9c-bff9-4157-9b2c-6b5ac5d508e4 · inbound

Stabilizing Policy Optimization via Logits Convexity cites this paper.

Stabilizing Policy Optimization via Logits Convexity R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T19:53:08.856440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e4116c8-75f2-4c32-9b37-a1a6eb7e9797 · inbound

StaRPO: Stability-Augmented Reinforcement Policy Optimization cites this paper.

StaRPO: Stability-Augmented Reinforcement Policy Optimization R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:20:59.984367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3dc8ab51-8e38-4a81-9a20-817baa9ba334 · inbound

Reward-Aware Trajectory Shaping for Few-step Visual Generation cites this paper.

Reward-Aware Trajectory Shaping for Few-step Visual Generation R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:45:21.293870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38709681-ae0f-4c6b-be99-0233d59b65eb · 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 R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:03.799793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 876803e7-4eab-4ff8-8f2a-be4e5e29c7ac · inbound

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection cites this paper.

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:17.471032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61e56765-442a-4be9-8d1b-b0dac92a37be · inbound

Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling cites this paper.

Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:42:30.874973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe7449d0-f8bb-4331-ae5c-70692f8d852c · inbound

Beyond Uniform Credit Assignment: Selective Eligibility Traces for RLVR cites this paper.

Beyond Uniform Credit Assignment: Selective Eligibility Traces for RLVR R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:10.508835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fce63959-381a-47b7-97f9-ea0711fd5167 · 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 R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:58.385559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a04a95b7-c373-4b04-8db4-ace8ef5aa026 · inbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.224742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2321188-055e-40e6-8c19-fc000d9dd49c · inbound

Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs cites this paper.

Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:52.586888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc2c86d0-8265-4c27-8395-a029444a507c · inbound

OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization cites this paper.

OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:21:12.728691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4eadc967-8a10-4d7a-aed1-4aec89d466db · inbound

Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning cites this paper.

Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:00.573718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb54247d-0abd-426b-9a4a-ad51fb3942ac · inbound

See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding cites this paper.

See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:57:29.063754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 078cae58-a97a-4fe8-8ac4-a95bd8ec0d75 · inbound

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception cites this paper.

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 277

Resolution: unresolved; no resolver link, observed 2026-07-12T04:17:40.198357Z

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Unavailable: canonical work link unavailable.

Observation 59f68406-5f9f-496c-b3a2-8f6e11c5da4b · inbound

FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Verification cites this paper.

FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Verification R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-31T14:08:11.243120Z

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Unavailable: canonical work link unavailable.