Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T01:13:57.368874Z
Paper Citation Record · LEDGER
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
As of 6 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 100 inbound Pith citation observations for arXiv:2504.07615.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:03:31.357707Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T03:17:51.904109Z
Reference resolution
61 of 61 outbound references displayed
- verified exact34
- verified fuzzy26
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 23851756-2cf5-4645-ac97-4be32c9f3c81 · outbound
This paper cites https://github.com/hiyouga/ EasyR1.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model https://github.com/hiyouga/ EasyR1
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.568179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d876a72b-1b40-4db6-8a81-ded882ac0cb4 · outbound
This paper cites GPT-4 Technical Report.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model GPT-4 Technical Report
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.403136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0d80caaa-4d7e-48e9-9b76-71be48d9def9 · outbound
This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:42:22.769824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d722ba59-8902-446f-afaf-86f2f6ff55fe · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Flamingo: a visual language model for few-shot learning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.537872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f561667-281c-4ced-a6f5-e96af9111c57 · outbound
This paper cites Concrete Problems in AI Safety.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Concrete Problems in AI Safety
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.515655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation befc5d16-58e5-4381-baa3-9fde0d0f54ea · outbound
This paper cites Qwen2.5-VL Technical Report.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Qwen2.5-VL Technical Report
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.518985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 54ded20d-c61f-4f0d-afe0-acdd9efd7b58 · outbound
This paper cites Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.522812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5cb3c842-f840-4ff6-a274-05f44a0ad88f · outbound
This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:08:13.182567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ce284a4-bdfa-49c4-abff-8f1609d72718 · outbound
This paper cites R1-v: Reinforcing super generalization ability in vision- language models with less than $3.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model R1-v: Reinforcing super generalization ability in vision- language models with less than $3
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.551540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f97b9fff-840d-4c74-a7a3-fb38cd2134f6 · outbound
This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.530850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6244dcf-3734-4ed9-a83f-90d621649de1 · outbound
This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.534553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 59d81237-41e9-41ce-ba6b-7ef537ba1516 · outbound
This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.412568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60aedddb-afe1-4913-b011-0ae596652a8f · outbound
This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Instructblip: Towards general- purpose vision-language models with instruction tuning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.562944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 87cfbd50-de8b-49ec-b945-027c72db7606 · outbound
This paper cites Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:13:57.417184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e2d588e2-fb9b-4a59-a291-399763e5552d · outbound
This paper cites Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T14:43:30.598089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 29bc51e1-8673-4c9e-99e7-0ccb6c6ff48d · outbound
This paper cites Open r1: A fully open reproduction of deepseek-r1.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Open r1: A fully open reproduction of deepseek-r1
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.570408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d65c834a-2372-447d-9e05-dbe0880a3c18 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.420952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4986add1-f871-42ba-9788-9a1eab24a6ec · outbound
This paper cites Lora: Low-rank adaptation of large language models.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Lora: Low-rank adaptation of large language models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.575484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ec121407-24bd-44b4-8d9c-34a06036a044 · outbound
This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.424812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 92a507b0-ac44-4c86-98cf-444840ef807a · outbound
This paper cites OpenAI o1 System Card.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model OpenAI o1 System Card
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.428243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation df3eeafd-ec40-49ea-90a6-77f32fe11478 · outbound
This paper cites Chatrex: Tam- ing multimodal llm for joint perception and understanding.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Chatrex: Tam- ing multimodal llm for joint perception and understanding
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.581888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 96620c89-e9fd-4328-9187-83e56a18f2ee · outbound
This paper cites Grounding language models to images for multimodal in- puts and outputs.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Grounding language models to images for multimodal in- puts and outputs
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.584232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 40f9d804-f7f2-4d01-bb7e-06e0785fcac8 · outbound
This paper cites Buy 4 reinforce samples, get a baseline for free! 2019.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Buy 4 reinforce samples, get a baseline for free! 2019
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.586321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d1c924ca-ac83-4baa-97d1-2ef15c5cbd5f · outbound
This paper cites Lisa: Reasoning segmentation via large language model.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Lisa: Reasoning segmentation via large language model
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.588915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 39ab7beb-e441-48b4-b580-beb318e51e0e · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model LLaVA-OneVision: Easy Visual Task Transfer
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.431959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4af7bb55-f1f2-412e-ab54-6c910469b73d · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.593975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eb622797-c1b5-4bd4-9032-0072634c0e27 · outbound
This paper cites Microsoft coco: Common objects in context.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Microsoft coco: Common objects in context
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.596465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3ffb07b7-fc52-4abd-88c1-6c08f724bfe1 · outbound
This paper cites Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T16:18:01.701777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e116865a-fc3d-4f9d-9c6e-00bbf0a1694c · outbound
This paper cites Improved baselines with visual instruction tuning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Improved baselines with visual instruction tuning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.601079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 519c1a2b-a43b-473b-96cd-1602b7642589 · outbound
This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Llava-next: Im- proved reasoning, ocr, and world knowledge
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.540727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4cb96c4-7587-4556-8540-4b484a9f306f · outbound
This paper cites Visual instruction tuning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Visual instruction tuning
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.543304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 714d51d7-5cdc-4a95-99ee-c9a4ee2fc06a · outbound
This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.546459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 32ddb30e-97e4-434d-b92a-a0e9df2442ba · outbound
This paper cites LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.439123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 719603ed-ff0c-4359-a776-32914a220135 · outbound
This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Understanding R1-Zero-Like Training: A Critical Perspective
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.442465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0768d0b9-8533-41be-ad6d-9c493fd87e07 · outbound
This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Visual-RFT: Visual Reinforcement Fine-Tuning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:16:16.677111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 312176dd-1196-4fa3-8c1e-fcf728b6ac8c · outbound
This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.451871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 576a9a96-81bf-465d-a663-ecf7c733f8d4 · outbound
This paper cites Generation and comprehension of unambiguous object descriptions.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Generation and comprehension of unambiguous object descriptions
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.565635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ff7a526d-feeb-4460-bd3f-958d0d85ffd4 · outbound
This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.456642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 92950f75-d039-474b-990a-1d00d26232f1 · outbound
This paper cites Training language models to follow instructions with human feedback.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Training language models to follow instructions with human feedback
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.577736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3e905d17-97ac-4822-9855-bdfcdb3f7df4 · outbound
This paper cites Feedback Loops With Language Models Drive In-Context Reward Hacking.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Feedback Loops With Language Models Drive In-Context Reward Hacking
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.461019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e015528a-d976-4523-bd6f-cd551e166221 · outbound
This paper cites Spontaneous Reward Hacking in Iterative Self-Refinement.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Spontaneous Reward Hacking in Iterative Self-Refinement
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.464983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0a5012b6-ab47-4ea5-ba0e-2123d4e15ffd · outbound
This paper cites LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T15:15:46.589538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4260cbdf-4111-46a3-924b-0795a670a64f · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Learning transferable visual models from natural language supervi- sion
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.549047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a4c6fa0-345c-4a6c-8450-e3c305b51d1a · outbound
This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.473789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c7dd6100-c3bf-4b53-820a-23ed941ebf2a · outbound
This paper cites Proximal Policy Optimization Algorithms.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Proximal Policy Optimization Algorithms
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.477597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0bcfd00e-02d1-49a0-b713-31c1c48b6d53 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.481688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0a0c0629-f13f-49fd-8b7a-bdcf99bef568 · outbound
This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model EVA-CLIP: Improved Training Techniques for CLIP at Scale
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:54:22.133331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 97464a48-6f5b-4f1d-865f-85cc5f5f6761 · outbound
This paper cites Mea- suring multimodal mathematical reasoning with math-vision dataset.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Mea- suring multimodal mathematical reasoning with math-vision dataset
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.579846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4dc7ce2f-2b29-4453-a42b-bdc1b9ca76e6 · outbound
This paper cites Large Language Models are not Fair Evaluators.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Large Language Models are not Fair Evaluators
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:10:42.624770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8852da8b-6d3d-4006-b01d-eab1f18e271e · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:13:57.493907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac9d3ad7-dcab-4178-9e0e-76e51601f9aa · outbound
This paper cites Language Models Learn to Mislead Humans via RLHF.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Language Models Learn to Mislead Humans via RLHF
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.497300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0bb6fb3e-5c44-4609-9991-6cae86b810ba · outbound
This paper cites Described object detection: Liberating ob- ject detection with flexible expressions.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Described object detection: Liberating ob- ject detection with flexible expressions
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.556933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 32c79bb6-a543-416a-a4de-de98b4996187 · outbound
This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T00:19:20.780377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b0d54564-a0a2-4f3b-a323-1f5002bf9c74 · outbound
This paper cites How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.504666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c12a8a19-e14d-4903-b53d-cd91c3f4f356 · outbound
This paper cites Modeling context in referring expres- sions.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Modeling context in referring expres- sions
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.591143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4a697026-1be9-46ed-b0f5-473b729784fc · outbound
This paper cites InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.508448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 983bf605-c8de-4172-855f-4c222e59ceda · outbound
This paper cites Sigmoid loss for language image pre-training.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Sigmoid loss for language image pre-training
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.554184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4cf301d3-284d-4ff2-826c-b2041dda12f0 · outbound
This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.559930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bd5c7bf4-fd3b-4804-9941-6e554ecaee2b · outbound
This paper cites Omdet: Language-aware object detection with large-scale vision-language multi-dataset pre-training.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Omdet: Language-aware object detection with large-scale vision-language multi-dataset pre-training
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.572920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f10f13e6-8ffa-40a6-87cc-4a8590c18a86 · outbound
This paper cites Omdet: Large-scale vision-language multi-dataset pre-training with multimodal detection network.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model Omdet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:13:57.598711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75430d7b-4914-4aba-98af-b33c3d837f81 · outbound
This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T07:13:47.672124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 50d153ac-52ee-4466-896c-13f87e16a723 · inbound
OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles cites this paper.
OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T06:59:03.247850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a3daa44e-cd7e-4449-8cf8-95b9598be724 · inbound
ToolRL: Reward is All Tool Learning Needs cites this paper.
ToolRL: Reward is All Tool Learning Needs VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 31
- Resolution
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- local_arxiv, observed 2026-05-14T00:26:48.524669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2d815fe0-132c-418e-85ce-a5460afe14c3 · inbound
LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models cites this paper.
LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T13:51:37.657422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3dfb7bd1-d7df-41ee-85bf-a5370b257c62 · inbound
GRIT: Teaching MLLMs to Think with Images cites this paper.
GRIT: Teaching MLLMs to Think with Images VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T13:31:36.050924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bb345abe-abe4-468e-a46a-62ccefe84103 · inbound
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? cites this paper.
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T05:40:56.038031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d2e7c93f-81ec-4202-b55c-70010487c3c6 · inbound
Grounded Reinforcement Learning for Visual Reasoning cites this paper.
Grounded Reinforcement Learning for Visual Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T01:05:52.018468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 39ad2883-297c-44a7-82b1-c22f2c117995 · inbound
VGR: Visual Grounded Reasoning cites this paper.
VGR: Visual Grounded Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T09:12:14.430161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 120e63a5-c52e-4a26-af2f-5fc7486869f2 · inbound
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T06:52:08.138562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b33e7b31-7f1a-48da-a873-cd18218f6cbf · inbound
Perception-Aware Policy Optimization for Multimodal Reasoning cites this paper.
Perception-Aware Policy Optimization for Multimodal Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T05:12:04.869640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e2202ed7-56a4-4e24-b511-601fe3c97091 · inbound
Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection cites this paper.
Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c062ded-f0fa-4b2a-9f15-fb05a5f08c6d · inbound
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience cites this paper.
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc0e6dd3-3e5a-460d-9af1-a39a376e33f0 · inbound
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models cites this paper.
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e14cdb62-4b47-44b7-b911-927b3d75e9d3 · inbound
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal cites this paper.
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2fde7dc-d960-434c-bf0f-741f24278e8a · inbound
Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data cites this paper.
Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e87cc55c-343f-44f9-afe5-824b64073806 · inbound
UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning cites this paper.
UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T22:21:53.326591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8413d793-d6fe-4cb9-9d0b-d81a2125a553 · inbound
KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge cites this paper.
KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:11:52.381315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e87eb0b-6014-49ed-9520-7068b771d9c2 · inbound
BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens cites this paper.
BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:04:38.739210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57ac40bf-5d47-480f-9deb-01ad51d2eccb · inbound
MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use cites this paper.
MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:22:51.550260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64f4bad2-df1b-4476-9751-a4f2260e6bc2 · inbound
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation cites this paper.
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:10:34.579065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a608ce7-6121-43d2-9c7f-03ef9b84989d · inbound
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding cites this paper.
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:10:16.788157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2f5d191-9c2c-4fbd-98a7-87d562b885a1 · inbound
Reinforced Visual Perception with Tools cites this paper.
Reinforced Visual Perception with Tools VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 47
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f7faa12-999d-4112-81b0-bde24626ac86 · inbound
Omnidirectional Spatial Modeling from Correlated Panoramas cites this paper.
Omnidirectional Spatial Modeling from Correlated Panoramas VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23566f1d-f878-43b8-a99f-e53dd0a8d5e6 · inbound
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 226
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T19:21:48.450263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 084b67f3-fa5d-4c0f-b1bd-84c94ccd18af · inbound
From Long to Short: LLMs Excel at Trimming Own Reasoning Chains cites this paper.
From Long to Short: LLMs Excel at Trimming Own Reasoning Chains VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8ad9147-4c07-4378-9304-b9ce605681db · inbound
Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and Exploration cites this paper.
Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and Exploration VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 2025
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3735ede-680f-4e86-ba9c-427534286499 · inbound
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 148
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:07:39.282457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3e93839-5817-4919-88f0-c24341bfb23e · inbound
Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning cites this paper.
Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T14:11:27.514218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 40732e49-d2d2-40ce-8a94-1ee1e59b3e1c · inbound
Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework cites this paper.
Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T12:32:36.398678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7810c525-b166-4904-87dd-21826e7fabb3 · inbound
Unlocking Zero-Shot Geospatial Reasoning via Indirect Rewards cites this paper.
Unlocking Zero-Shot Geospatial Reasoning via Indirect Rewards VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T11:46:19.520512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 50481eac-6e75-479f-bb53-dabbba35c617 · inbound
VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation cites this paper.
VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:40:41.865785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b282ff1-f0d4-4fb3-982e-3019f96ae079 · inbound
RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning cites this paper.
RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:33:40.274255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68b632cc-79aa-4d74-86a2-db543070fd90 · inbound
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning cites this paper.
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T20:24:21.295605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5446b5af-5cd3-4782-82a3-40fd3211f52b · inbound
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T04:40:53.027955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5b06dcdd-4fdf-4144-841c-ee1bdde8cf1c · inbound
VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy Distillation cites this paper.
VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy Distillation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:57:25.675221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 922c2d2e-5f95-4679-b54e-25d430a55103 · inbound
Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning cites this paper.
Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:02:43.058582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2c3109a-1f58-43d4-928f-67fa88d2b826 · inbound
REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding cites this paper.
REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:20:22.826442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fcbcb43b-483a-4ad3-b779-e84dab31f7b5 · inbound
Boosting Reasoning in Large Multimodal Models via Activation Replay cites this paper.
Boosting Reasoning in Large Multimodal Models via Activation Replay VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T05:09:04.004788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation df2d44da-ba2d-454b-b5ea-d86e7af558d9 · inbound
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling cites this paper.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.175943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d768473f-179d-44a3-8a5f-c31fc1858d95 · inbound
OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.
OneThinker: All-in-one Reasoning Model for Image and Video VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:11:26.532514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d828343-faca-4796-998e-a3172586f1a0 · inbound
TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning cites this paper.
TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:18:52.253010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e1296e17-1939-44a6-8446-7d675f11bdad · inbound
RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension cites this paper.
RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:15:06.983726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e5eac96-d3a7-4977-b03f-6de7d9092c6a · inbound
Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding cites this paper.
Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.523998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9e602e11-1181-4cc5-b439-85e1db6cec2f · inbound
Grounding Everything in Tokens for Multimodal Large Language Models cites this paper.
Grounding Everything in Tokens for Multimodal Large Language Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T23:31:21.862892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a367bd6e-2075-498d-a6fc-45066e86f294 · inbound
Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics cites this paper.
Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:27:34.117502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3e7f2e0-f35c-443c-b62a-4bfc073645f3 · inbound
OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving cites this paper.
OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T22:38:37.859935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 914eb0af-1b85-4fde-956b-89ab985962d8 · inbound
AdaTooler-V: Adaptive Tool-Use for Images and Videos cites this paper.
AdaTooler-V: Adaptive Tool-Use for Images and Videos VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T21:28:34.318011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4d20d988-de98-49b9-85ca-d52942405647 · inbound
Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning cites this paper.
Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:31:16.953290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc2e5b03-15dd-4679-80c1-38a641ff3aec · inbound
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? cites this paper.
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T14:53:00.547163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8f080b0-a003-4722-887e-ae769e568b88 · inbound
Structure Over Scale: Learning Visual Reasoning from Pedagogical Video cites this paper.
Structure Over Scale: Learning Visual Reasoning from Pedagogical Video VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:22:40.191829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eed7d692-0306-4517-b330-34f47c25dd15 · inbound
CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning cites this paper.
CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:02:42.482049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed327e9d-cab1-40b6-89ba-62a38fb440b9 · inbound
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension cites this paper.
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T03:30:33.075965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9ede4606-d07b-4c39-bc6f-5ba72652507a · inbound
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking cites this paper.
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T20:50:17.290213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ba2cd276-f181-4a38-8a66-1b6db929aa31 · inbound
OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents cites this paper.
OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:10:52.040247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c4ac23c-cb4d-45c5-a42a-e5687e6cd6d7 · inbound
RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection cites this paper.
RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T20:36:35.289766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bab4e334-fae2-4c1e-9a71-35ae3a90e4cb · inbound
HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework cites this paper.
HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:19:15.914946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d24340bd-d641-4b58-9af2-91abae61c2c1 · inbound
Topo-R1: Detecting Topological Anomalies via Vision-Language Models cites this paper.
Topo-R1: Detecting Topological Anomalies via Vision-Language Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T11:45:32.863537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d88e741c-b566-4753-a169-5bd6d602c2c9 · inbound
From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation cites this paper.
From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T00:15:23.806078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87762264-c57f-424c-9ee5-131cc2f8cd53 · inbound
Fully Spiking Neural Networks with Target Awareness for Energy-Efficient UAV Tracking cites this paper.
Fully Spiking Neural Networks with Target Awareness for Energy-Efficient UAV Tracking VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:55:20.099628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2ccc4dd-40fd-4eb5-93e6-34465de90ef2 · inbound
Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs cites this paper.
Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:38:00.974574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d98bb4a2-87a3-49a4-8ddc-3a8e3e69a78d · inbound
Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models cites this paper.
Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T20:53:16.242557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8e58e6d3-6608-4a82-912e-4955c72ecbe9 · inbound
Discovering Failure Modes in Vision-Language Models using RL cites this paper.
Discovering Failure Modes in Vision-Language Models using RL VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 45ff02e8-4bc7-44eb-830e-861a206ba9b6 · inbound
CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models cites this paper.
CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 644fa6b0-d39a-40b9-8181-83ed4e26ef8d · inbound
OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks cites this paper.
OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 558253d9-6193-4e14-8cd1-4bde4fbb394c · inbound
Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models cites this paper.
Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b54b29fe-c74b-488b-846b-361f34758cb1 · inbound
OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling cites this paper.
OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:30:16.474205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3b667d81-2581-4c67-9edd-12839033cef5 · inbound
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 193
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5a1fb6a-5f47-4201-af1b-736d1bcc01b9 · inbound
Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning cites this paper.
Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7da63503-002e-4858-ac03-28b130b5c731 · inbound
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 147
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a67ee26-dc25-4400-9898-6c88daf9116e · inbound
Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems cites this paper.
Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2e0ce69b-2b9b-47b9-9ed4-16a00ac1b5e8 · inbound
CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding cites this paper.
CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 556148bc-c795-41eb-b6a4-212a585ea028 · inbound
Can Multimodal Large Language Models Truly Understand Small Objects? cites this paper.
Can Multimodal Large Language Models Truly Understand Small Objects? VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7c99fd3-1d62-4345-bd59-091916a71229 · 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 VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d54c7844-3153-4215-be7a-09283c4ae2d5 · inbound
Improving Vision-language Models with Perception-centric Process Reward Models cites this paper.
Improving Vision-language Models with Perception-centric Process Reward Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a443c9d2-ee01-4222-879c-4cf925ed77ce · inbound
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 98
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 460e0320-59c6-49d9-9733-236fa7616836 · inbound
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 98
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a81389c6-a2b6-40a6-b5d9-93a8301ae4f9 · inbound
Perceptual Flow Network for Visually Grounded Reasoning cites this paper.
Perceptual Flow Network for Visually Grounded Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 28c62c2e-3fe9-432a-b5be-a4011a0207d0 · inbound
Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning cites this paper.
Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 658ab417-45af-4dca-a5bb-0218e6afd046 · inbound
GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning cites this paper.
GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 67237bf4-4e75-4358-a145-afa3a8758ff2 · inbound
GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning cites this paper.
GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T00:45:12.113174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ad232e79-e2fc-469c-8fa9-801c3359fa6f · inbound
MHPR: Multidimensional Human Perception and Reasoning Benchmark for Large Vision-Languate Models cites this paper.
MHPR: Multidimensional Human Perception and Reasoning Benchmark for Large Vision-Languate Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da8d7f24-f5c8-4597-a479-d30a643b25c2 · inbound
RemoteZero: Geospatial Reasoning with Zero Human Annotations cites this paper.
RemoteZero: Geospatial Reasoning with Zero Human Annotations VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 59973c7d-2181-407f-b537-ede3c94155a3 · 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 VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T07:42:30.856741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d0cdbd11-541b-46a3-8084-81a3914bf203 · inbound
Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning cites this paper.
Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fcf3f8e9-7323-4a66-b103-bb7f5d2fbf20 · inbound
AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition cites this paper.
AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 69960409-cda5-4e13-939c-a65f79365450 · inbound
LiteGUI: Distilling Compact GUI Agents with Reinforcement Learning cites this paper.
LiteGUI: Distilling Compact GUI Agents with Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f8acd791-5df8-4dd7-bbd6-c5a2498e6c76 · inbound
SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation cites this paper.
SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:13:57.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c24febd-35b3-4a49-9703-83a62fa63925 · inbound
SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation cites this paper.
SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 87
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:53:02.231111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b56d0797-9ee0-43fc-8cae-06e47e8fcb9a · inbound
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone cites this paper.
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T02:57:09.524296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cfe4d501-f8f1-44c0-b010-d17b2a2fdd09 · inbound
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone cites this paper.
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:29:28.677881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cc0f7559-f10b-461a-b8f7-da4e4af1109f · inbound
From Web to Pixels: Bringing Agentic Search into Visual Perception cites this paper.
From Web to Pixels: Bringing Agentic Search into Visual Perception VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:52:22.870026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8612d913-230e-44a5-8cd4-73577d5900c8 · inbound
Learning to See What You Need: Gaze Attention for Multimodal Large Language Models cites this paper.
Learning to See What You Need: Gaze Attention for Multimodal Large Language Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 116
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T20:19:28.539146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2780cb40-bb28-4db9-a1fa-814241f6ab2b · inbound
Dual-Pathway Circuits of Object Hallucination in Vision-Language Models cites this paper.
Dual-Pathway Circuits of Object Hallucination in Vision-Language Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:19:23.972127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa8cacb8-9afb-4e41-bea9-bf05ffde4c41 · inbound
CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves cites this paper.
CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:39:48.032650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cc8e34e9-c739-44a8-b4e4-9ec6fcefc36f · inbound
CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves cites this paper.
CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:43:43.454906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f748a5f6-7558-4d9c-a256-802773430a75 · inbound
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination cites this paper.
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T19:33:42.146995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3e34dc19-2157-4cb6-a67f-45f662c6b6cf · inbound
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination cites this paper.
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T19:55:01.633954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0755c88d-71fc-4f4d-8870-a80a1415419a · inbound
From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding cites this paper.
From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:43:38.806515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d2089e9-74ca-4f76-801f-e0c3b3565e8e · inbound
Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning cites this paper.
Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:23:37.672397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 390cf3a5-ba9a-4ac8-bb4e-a3208d65369c · inbound
VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation cites this paper.
VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T19:38:56.071277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e0f8ecf4-68d3-45a7-baa9-88106c6b4874 · inbound
ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation cites this paper.
ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T19:33:42.052215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.