DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification | Paper Citation Record

Observation 5879cfb6-b351-4b6a-a0d1-f3a6e905a593 · outbound

This paper cites Qwen3-VL Technical Report.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Qwen3-VL Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.295028Z

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Observation 0c62d594-07ab-4aa6-b87a-64e137cbb3ef · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.603346Z

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Observation beff6b32-0c4e-4e49-913d-7aa713cb5529 · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Mllm-as-a-judge: Assessing multimodal llm-as- a-judge with vision-language benchmark

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.703241Z

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Observation 721fd5d2-f459-4a16-bb02-45c142a95eb7 · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.684737Z

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Observation 9d32ec0f-a3ba-43e5-bbd1-5de9823bc9c3 · outbound

This paper cites CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.281809Z

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Observation e76484cd-742b-4f30-89b0-7804273f59ea · outbound

This paper cites NVLM: Open Frontier-Class Multimodal LLMs.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification NVLM: Open Frontier-Class Multimodal LLMs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.444129Z

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Observation 63e8f2bc-c183-470b-a1c6-d7a81ff910b5 · outbound

This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Deepseek-v4: Towards highly efficient million-token context intelligence

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.698451Z

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Observation 4a7e8e15-c74a-41b7-9da5-85144ed0bd88 · outbound

This paper cites Molmo and pixmo: Open weights and open data for state-of-the-art vision-language models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Molmo and pixmo: Open weights and open data for state-of-the-art vision-language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.692834Z

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Observation e557804f-5c5e-4380-88d4-25009bd235b7 · outbound

This paper cites Arm-thinker: Reinforcing multimodal generative reward models with agentic tool use and visual reasoning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Arm-thinker: Reinforcing multimodal generative reward models with agentic tool use and visual reasoning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.429052Z

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Observation 0c44c035-3c16-4f7a-b0ea-0d993eedbdd5 · outbound

This paper cites VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:08:19.955297Z

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Observation cf011423-04e0-46e1-98c8-978acf86f2a8 · outbound

This paper cites The Llama 3 Herd of Models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification The Llama 3 Herd of Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.506738Z

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Observation b3e0c731-125b-405c-851e-0013630e2485 · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:56.884714Z

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Observation d5b69159-a3cd-4b4d-9d6c-41c5f44e20e6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.470450Z

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Observation 523982d0-2968-4c72-8130-c3fd81a068b7 · outbound

This paper cites Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.734575Z

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Observation 51564e78-31fb-4dc0-a3a0-559410604284 · outbound

This paper cites Reinforcement Learning with Rubric Anchors.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Reinforcement Learning with Rubric Anchors

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.455347Z

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Observation 19145b6f-a13f-44a0-93dc-15ecfaa5f144 · outbound

This paper cites AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.590349Z

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Observation b220222e-417c-4acb-87c9-4d0357f2f929 · outbound

This paper cites Prometheus: Inducing fine-grained evaluation capability in language models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Prometheus: Inducing fine-grained evaluation capability in language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.756042Z

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Observation fd478e17-5cc3-4e11-a8ca-58fdda61b457 · outbound

This paper cites Reinforcement Learning from Human Feedback.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Reinforcement Learning from Human Feedback

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.420238Z

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Observation f597b9fb-6654-4b1b-8dec-2bf762075d70 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.260624Z

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Observation aeddf4f5-023a-4ad1-84c9-aed1bc01d76e · outbound

This paper cites Rewardbench: Evaluating reward models for language modeling.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Rewardbench: Evaluating reward models for language modeling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.769381Z

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Observation c46d7b98-661c-4377-80a2-e04da4941c49 · outbound

This paper cites Vl-rewardbench: a challenging benchmark for vision-language generative reward models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Vl-rewardbench: a challenging benchmark for vision-language generative reward models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.751702Z

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Observation ca736119-30ee-4cae-9c82-f376cb704189 · outbound

This paper cites Self-Rewarding Vision-Language Model via Reasoning Decomposition.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Self-Rewarding Vision-Language Model via Reasoning Decomposition

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.251497Z

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Observation 725f7bef-73d7-4d9a-b52f-75d9f9a78d84 · outbound

This paper cites Stable and efficient single-rollout rl for multimodal reasoning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Stable and efficient single-rollout rl for multimodal reasoning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.216769Z

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Observation 32e8f812-a10f-45f5-9af5-50317690d48e · outbound

This paper cites V ogue: Guiding exploration with visual uncertainty improves multimodal reasoning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification V ogue: Guiding exploration with visual uncertainty improves multimodal reasoning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.388524Z

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Observation aef104c3-1531-41d6-8438-dfae74c1807b · outbound

This paper cites arXiv preprint arXiv:2510.07743 , year=.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification arXiv preprint arXiv:2510.07743 , year=

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.242097Z

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Observation b6efb9dc-d12f-432a-9d13-b20f05622242 · outbound

This paper cites Decoupled weight decay regularization.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Decoupled weight decay regularization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.765087Z

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Observation 2603bb94-aa15-46d5-abb0-9e2a6b308547 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.743511Z

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Observation 21ac7b83-9bd5-4d5b-8aef-b8f8d329fa74 · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Direct preference optimization: Your language model is secretly a reward model

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.717473Z

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Observation ef7f680b-328d-47bf-a816-051e1af342cc · outbound

This paper cites Self-critiquing models for assisting human evaluators.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Self-critiquing models for assisting human evaluators

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:25:41.981797Z

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Observation e5ff6404-54a1-40ab-b09e-c11afc607563 · outbound

This paper cites DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:00:28.487879Z

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Observation d852f360-6bb7-4d8f-a8a5-d40d39f39964 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.366769Z

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Observation 932d95d9-3453-4e4a-85e8-5af2d9cf89d8 · outbound

This paper cites arXiv preprint arXiv:2602.10885 , year=.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification arXiv preprint arXiv:2602.10885 , year=

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.271966Z

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

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

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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Observation ff946a35-3462-4f25-afcb-daa9f650cf43 · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Aligning large multimodal models with factually augmented rlhf

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.707894Z

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Observation 3517bce8-c0c5-4222-a544-0919d999f018 · outbound

This paper cites ReFT: Reasoning with reinforced fine-tuning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification ReFT: Reasoning with reinforced fine-tuning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.712808Z

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Observation 74e056fc-f5d1-4b6a-9dc0-272562497052 · outbound

This paper cites R e FT : Reasoning with reinforced fine-tuning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification R e FT : Reasoning with reinforced fine-tuning

Reference 36

Resolution: metadata mismatch; doi, observed 2026-05-12T05:16:23.874409Z

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Observation 813ab63e-583d-4ddf-9d75-735ff016222d · outbound

This paper cites Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, and Jingbo Zhu.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, and Jingbo Zhu

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:24.401201Z

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Observation 12b6094e-4cc1-4e5a-ae09-2b5122137a63 · outbound

This paper cites Msrl: Scaling generative multimodal reward modeling via multi-stage reinforcement learning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Msrl: Scaling generative multimodal reward modeling via multi-stage reinforcement learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.484234Z

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Observation af2cc219-e8a8-4cc8-9b79-1180bdc3fa53 · outbound

This paper cites Unified multimodal chain-of-thought reward model through reinforcement fine-tuning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Unified multimodal chain-of-thought reward model through reinforcement fine-tuning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.410905Z

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Observation 4d4cfac3-a999-46fb-9a3f-a68183138aa6 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Chain-of-thought prompting elicits reasoning in large language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.760409Z

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Observation 48325d23-b0ba-4b51-82cb-733e2e0cf397 · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Llava-critic: Learning to evaluate multimodal models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.747646Z

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Observation 880f99d9-7df2-4c46-89cd-d2a57caebb1a · outbound

This paper cites arXiv preprint arXiv:2602.01511 , year=.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification arXiv preprint arXiv:2602.01511 , year=

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.573347Z

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

This paper cites Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models.

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

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Observation 90fb2227-de76-4f6c-9864-882575feae60 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:24.303618Z

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Observation 0a3fb8f6-bc8a-4139-a563-448799a4da7b · outbound

This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.730161Z

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Observation bc0a6206-20c3-414f-b6fd-b9c53bd5925a · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Rlaif-v: Open-source ai feedback leads to super gpt-4v trustworthiness

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.721727Z

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Observation 26517c6e-f81a-43aa-95a6-ff49946f9574 · outbound

This paper cites Benchmarking Large Multimodal Models against Common Corruptions.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Benchmarking Large Multimodal Models against Common Corruptions

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.267389Z

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

This paper cites R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning.

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 2026-08-04T06:34:03.388597+00:00.

Observation 6868191b-257a-47b9-9050-a49334d09a96 · outbound

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

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.331700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 787fec71-615b-40f6-ac3e-5b0818cb4e29 · outbound

This paper cites Basereward: A strong baseline for multimodal reward model.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Basereward: A strong baseline for multimodal reward model

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.773460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2cbe5227-9cba-44b3-a2c2-257944ce121e · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in neural information processing systems, 36:46595–46623.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in neural information processing systems, 36:46595–46623

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.726088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cca0ac9b-fc25-41ba-a2b9-ef19002ac348 · outbound

This paper cites Parallel-R1: Towards Parallel Thinking via Reinforcement Learning.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.337093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e6090ce-cd54-4a0b-a880-4601e42475f1 · outbound

This paper cites Easyr1: An efficient, scalable, multi-modality rl training framework.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Easyr1: An efficient, scalable, multi-modality rl training framework

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:56:36.738458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 35a22826-9bed-4c54-ad0b-4b26450c99e0 · outbound

This paper cites A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.230952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec9d4ab1-8589-4aa9-b5f2-0a0bbd25eeec · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 55

Resolution: malformed identifier; local_arxiv, observed 2026-05-12T06:01:24.379421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5b12c00-4a40-4616-a19e-63b611fcaced · outbound

This paper cites an unresolved cited work.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:51:38.004569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e78a21ec-1ec1-43fb-90d8-845a7129140c · outbound

This paper cites an unresolved cited work.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:51:37.989158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c6a62fd2-3ccb-4bd2-89ba-9697b5d693f2 · outbound

This paper cites an unresolved cited work.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:51:37.994662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2e9dfcfa-35b5-45ec-b8c7-8c690445f80e · outbound

This paper cites an unresolved cited work.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:51:38.000376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dab923f-89f5-464c-a8db-e70758b72d13 · outbound

This paper cites DeltaRubric Evaluation Prompt You are a fair judge.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification DeltaRubric Evaluation Prompt You are a fair judge

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:37.984268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers