Paper Citation Record · LEDGER

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2509.06759.

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

pith.paper-citation-record.v1
2509.06759 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:11:33.916383Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:06:15.623188Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:26:28.843655Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b7ddbe5-6805-4d44-8d87-936c0c175228 · outbound

This paper cites Visual instruction tuning,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Visual instruction tuning,

Reference 1

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Observation 82d881f1-e063-4db4-87d4-7c06c0718ac1 · outbound

This paper cites MiniGPT-4: Enhancing vision-language understanding with advanced large language models,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization MiniGPT-4: Enhancing vision-language understanding with advanced large language models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:11:35.750942Z

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Observation a9705884-29bd-481d-ad90-0883b4698e2a · outbound

This paper cites FuRL: visual-language models as fuzzy rewards for reinforcement learning,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization FuRL: visual-language models as fuzzy rewards for reinforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:11:35.741768Z

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Observation 285986a1-08cd-473a-b33e-adbfa20b63a4 · outbound

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

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Direct preference optimization: your language model is secretly a reward model,

Reference 4

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Observation 937d651a-f762-4345-9648-4634aaeccb1f · outbound

This paper cites Proximal Policy Optimization Algorithms.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Proximal Policy Optimization Algorithms

Reference 5

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Observation 81e810d6-b6a1-4164-b624-1301cfb1878b · outbound

This paper cites Deep reinforcement learning for cyber security,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Deep reinforcement learning for cyber security,

Reference 6

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Observation 2530fe82-4bf8-404e-b646-29e7b055609f · outbound

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

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 7

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Observation 5eb4008c-f784-4649-a0cc-4dd41817ff9d · outbound

This paper cites Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

Reference 8

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Observation 96de6b97-b3f9-44e5-8037-ad88ddfeb846 · outbound

This paper cites GPT-4V(ision) System Card,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization GPT-4V(ision) System Card,

Reference 9

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Observation f32b6995-f3cb-4e21-a4d0-c354ea1c84f7 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 10

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Observation 2b2055ae-7013-4777-aa96-0396d55ff61c · outbound

This paper cites The Claude 3 model family: Opus, Sonnet, Haiku,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization The Claude 3 model family: Opus, Sonnet, Haiku,

Reference 11

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Observation d4d1a607-5086-4fe1-8c10-dd42cd967546 · outbound

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

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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Observation c7afd6ff-f37d-48fc-8971-c23572d2a6f2 · outbound

This paper cites The Llama 3 Herd of Models.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization The Llama 3 Herd of Models

Reference 13

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Observation 06c642ba-e757-4f1a-b582-dd08acd688e4 · outbound

This paper cites Qwen2.5-VL Technical Report.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Qwen2.5-VL Technical Report

Reference 14

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Observation 6dea6216-c277-41e8-8d9c-deff99a9c82c · outbound

This paper cites The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation,

Reference 15

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Observation 05d60a77-9a45-47f1-aa8b-e5d7ef872968 · outbound

This paper cites Aligning large multimodal models with factually augmented RLHF,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Aligning large multimodal models with factually augmented RLHF,

Reference 16

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Observation 5515cda2-59b6-4b31-9a73-4a4ed8eef351 · outbound

This paper cites Fusing pre-trained language models with multimodal prompts through reinforcement learning,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Fusing pre-trained language models with multimodal prompts through reinforcement learning,

Reference 17

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Observation eca955ef-ec96-4f6a-bc04-9842a5ae3694 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Learning transferable visual models from natural language supervision,

Reference 18

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This paper cites Improving Vision-Language-Action Model with Online Reinforcement Learning.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 19

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This paper cites Fine-tuning large vision-language models as decision-making agents via reinforcement learning,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Fine-tuning large vision-language models as decision-making agents via reinforcement learning,

Reference 20

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Observation 9dd998c8-ec99-4eb2-951b-5774943f28c6 · outbound

This paper cites VLFeedback: A large-scale AI feedback dataset for large vision-language models alignment,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization VLFeedback: A large-scale AI feedback dataset for large vision-language models alignment,

Reference 21

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Observation 1e71b9a7-b5a1-432e-9845-65efc072eef0 · outbound

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

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 22

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This paper cites Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Reference 23

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Observation 73f1b11e-3aba-4ab6-9a34-d35332c2bece · outbound

This paper cites Training language models to follow instructions with human feedback,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Training language models to follow instructions with human feedback,

Reference 24

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Observation dd0286eb-b055-4f36-99dd-9cb8bb277b00 · outbound

This paper cites RLHF-V: Towards trustworthy MLLMs via behavior alignment from fine-grained correctional human feedback,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization RLHF-V: Towards trustworthy MLLMs via behavior alignment from fine-grained correctional human feedback,

Reference 25

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Observation 1ed9281b-9ea0-449d-809a-5428edc78ccd · outbound

This paper cites RLAIF-V: Aligning MLLMs through open- source AI feedback for super GPT-4V trustworthiness,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization RLAIF-V: Aligning MLLMs through open- source AI feedback for super GPT-4V trustworthiness,

Reference 26

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Observation 9c0e0dba-87fe-4724-8c9b-7450768ae793 · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 27

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Observation 4d9d970f-7b5a-4ed0-ba28-4912501b0c8b · outbound

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

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Aligning modalities in vision large language models via preference fine-tuning,

Reference 28

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Observation 98be5315-ceb8-4cbd-9ca8-eb2959294c31 · outbound

This paper cites Re-Align: Aligning vision language models via retrieval-augmented direct preference optimization,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Re-Align: Aligning vision language models via retrieval-augmented direct preference optimization,

Reference 29

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Observation 44d826cd-ca6d-4d51-a385-502c419dcf59 · outbound

This paper cites Enhancing visual-language modality alignment in large vision language models via self-improvement,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Enhancing visual-language modality alignment in large vision language models via self-improvement,

Reference 30

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Observation 340830de-37de-418f-a89a-309ae2e27376 · outbound

This paper cites VILA: On pre-training for visual language models,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization VILA: On pre-training for visual language models,

Reference 31

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Observation 08d7f4a5-692d-40ce-a274-cc75b88179e0 · outbound

This paper cites SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model

Reference 32

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Observation cb03875e-d4b2-4db5-be8d-34f9a673557b · outbound

This paper cites DRESS: Instructing large vision-language models to align and interact with humans via natural language feedback,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization DRESS: Instructing large vision-language models to align and interact with humans via natural language feedback,

Reference 33

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Observation 4f1bbaf7-89cd-4365-bcb9-edf78b7b875c · outbound

This paper cites Active learning for vision-language models,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Active learning for vision-language models,

Reference 34

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Observation 947346f9-f031-49f6-8893-3e196311fc20 · outbound

This paper cites S-CLIP: Semi-supervised vision- language learning using few specialist captions,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization S-CLIP: Semi-supervised vision- language learning using few specialist captions,

Reference 35

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Observation 39cd1753-ca90-4451-b2a6-3e7b88b37ceb · outbound

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Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization RL-VLM-F: reinforcement learning from vision language foundation model feedback,

Reference 36

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Observation 8f86d631-de35-4c62-b3b9-ab9639bc0c06 · outbound

This paper cites VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Reference 37

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This paper cites Text-to-decision agent: Offline meta-reinforcement learning from natural language supervision,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Text-to-decision agent: Offline meta-reinforcement learning from natural language supervision,

Reference 38

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Observation 275b609a-a0c7-4d8e-87f6-14be0bb1e33e · outbound

This paper cites Zero-shot model-based reinforcement learning using large language models,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Zero-shot model-based reinforcement learning using large language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:11:35.492893Z

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Observation 81da2cfc-2953-4d37-9707-0803e844cfca · outbound

This paper cites Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Reference 40

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This paper cites Open-ended VQA benchmarking of vision-language models by exploiting classification datasets and their semantic hierarchy,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Open-ended VQA benchmarking of vision-language models by exploiting classification datasets and their semantic hierarchy,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:11:35.213474Z

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Observation b37a8033-2b5a-4f9b-b754-91d30b904049 · outbound

This paper cites VLP: Vision-Language Preference Learning for Embodied Manipulation.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization VLP: Vision-Language Preference Learning for Embodied Manipulation

Reference 42

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Observation c0650d6e-0169-4640-a19c-fd7cc2086343 · outbound

This paper cites Multi-agent deep reinforcement learning with human strategies,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization Multi-agent deep reinforcement learning with human strategies,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:11:34.879301Z

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Observation 7336f9a6-1f18-42b4-a64b-401378996dcb · outbound

This paper cites ETA: Evaluating then align- ing safety of vision language models at inference time,.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization ETA: Evaluating then align- ing safety of vision language models at inference time,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:11:34.656421Z

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Pith citing papers

Observation f4c65fd8-781c-4f7a-88f2-3b0a19ee93ef · inbound

Beyond the Literal: Decomposing Pragmatic Intent in Multimodal Meme Understanding cites this paper.

Beyond the Literal: Decomposing Pragmatic Intent in Multimodal Meme Understanding Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:28.845645Z

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