Perceptual Flow Network for Visually Grounded Reasoning | Paper Citation Record

Observation d03f9924-7868-4d02-aa94-fef5ffe3dcd3 · outbound

This paper cites Qwen3-VL Technical Report.

Perceptual Flow Network for Visually Grounded Reasoning Qwen3-VL Technical Report

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.808532Z

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Observation 51ace5b3-3943-44d3-b41b-1ba05d653159 · outbound

This paper cites Qwen2.5-VL Technical Report.

Perceptual Flow Network for Visually Grounded Reasoning Qwen2.5-VL Technical Report

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.858186Z

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Observation a1f5fec5-32a8-40d5-9643-6a4e870645a7 · outbound

This paper cites Vicinal risk minimization.Advances in neural information processing systems, 13.

Perceptual Flow Network for Visually Grounded Reasoning Vicinal risk minimization.Advances in neural information processing systems, 13

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.330589Z

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Observation 690df2cb-1b5e-48c5-aac0-1f8201173ee9 · outbound

This paper cites Multi-object hallucination in vision language models.Advances in Neural Information Processing Systems, 37: 44393–44418.

Perceptual Flow Network for Visually Grounded Reasoning Multi-object hallucination in vision language models.Advances in Neural Information Processing Systems, 37: 44393–44418

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.326972Z

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Observation 4ccc9680-77e0-4b08-ba81-be07cd2bc7e1 · outbound

This paper cites Seeclick: Harnessing gui grounding for advanced visual gui agents.

Perceptual Flow Network for Visually Grounded Reasoning Seeclick: Harnessing gui grounding for advanced visual gui agents

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.322948Z

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Observation 6c30ec8a-d0a3-4433-9c08-8b7983b501fc · outbound

This paper cites Gemini-3-flash.https://deepmind.google/models/gemini/flash/.

Perceptual Flow Network for Visually Grounded Reasoning Gemini-3-flash.https://deepmind.google/models/gemini/flash/

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.334009Z

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Observation 5255d94d-c2b1-4402-bafb-eb843a23a91b · outbound

This paper cites Gemini-3-pro.https://deepmind.google/models/gemini/pro/.

Perceptual Flow Network for Visually Grounded Reasoning Gemini-3-pro.https://deepmind.google/models/gemini/pro/

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.319331Z

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Observation d66df7ea-1683-4d03-acc4-3baf5c1e37cb · outbound

This paper cites Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents.

Perceptual Flow Network for Visually Grounded Reasoning Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:09:01.446022Z

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Observation 92d355c1-b648-4ea0-9225-e99b3c3af553 · outbound

This paper cites Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models.

Perceptual Flow Network for Visually Grounded Reasoning Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.375158Z

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Observation 42d13a26-4565-415f-a9bd-fbdba5ef2483 · outbound

This paper cites Detecting and preventing hallucinations in large vision language models.

Perceptual Flow Network for Visually Grounded Reasoning Detecting and preventing hallucinations in large vision language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.366062Z

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Observation 00b472c5-175a-4f87-a9a3-e5c28814cf46 · outbound

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

Perceptual Flow Network for Visually Grounded Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-09T06:15:38.975491Z

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Observation 3853f9ff-e339-4bf5-a7cd-9cf5f15b5235 · outbound

This paper cites Seed1.5-VL Technical Report.

Perceptual Flow Network for Visually Grounded Reasoning Seed1.5-VL Technical Report

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:06.820639Z

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Observation 9bae1b68-dbbf-4989-ab98-e80bb6049a51 · outbound

This paper cites DeepEyesV2: Toward Agentic Multimodal Model.

Perceptual Flow Network for Visually Grounded Reasoning DeepEyesV2: Toward Agentic Multimodal Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:32:29.694372Z

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Observation 8ece9cdd-0f46-4117-b86e-b21a0f0e7bd6 · outbound

This paper cites The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use.

Perceptual Flow Network for Visually Grounded Reasoning The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.873140Z

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Observation 6a455e61-a13b-409e-a01d-626a6a0803e4 · outbound

This paper cites Visual sketchpad: Sketching as a visual chain of thought for multimodal language models.Advances in Neural Information Processing Systems, 37:139348–139379.

Perceptual Flow Network for Visually Grounded Reasoning Visual sketchpad: Sketching as a visual chain of thought for multimodal language models.Advances in Neural Information Processing Systems, 37:139348–139379

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.362470Z

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Observation 8243bba0-66b1-4c28-95a8-0c40596e4190 · outbound

This paper cites VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought.

Perceptual Flow Network for Visually Grounded Reasoning VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.910256Z

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Observation 43424181-65a9-4fe2-a15d-3016eff905ca · outbound

This paper cites A diagram is worth a dozen images.

Perceptual Flow Network for Visually Grounded Reasoning A diagram is worth a dozen images

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.369220Z

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Observation b34f3014-427a-45ac-8044-9e2b38503b96 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Perceptual Flow Network for Visually Grounded Reasoning Gonzalez, Hao Zhang, and Ion Stoica

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.372209Z

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Observation 82811d9a-860a-4dd9-a5ab-05aed6e62bd3 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Perceptual Flow Network for Visually Grounded Reasoning LLaVA-OneVision: Easy Visual Task Transfer

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.838668Z

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Observation 06c94115-6e53-466d-a423-fc62d6c0f880 · outbound

This paper cites Dyfo: A training-free dynamic focus visual search for enhancing lmms in fine-grained visual understanding.

Perceptual Flow Network for Visually Grounded Reasoning Dyfo: A training-free dynamic focus visual search for enhancing lmms in fine-grained visual understanding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.382120Z

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Observation fbd15183-87e5-4c1f-90e4-479d0adc0796 · outbound

This paper cites Screenspot-pro: Gui grounding for professional high-resolution computer use.

Perceptual Flow Network for Visually Grounded Reasoning Screenspot-pro: Gui grounding for professional high-resolution computer use

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.350037Z

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Observation 1142182e-cf02-4766-a44b-f99b9fedb515 · outbound

This paper cites Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

Perceptual Flow Network for Visually Grounded Reasoning Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.923328Z

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Observation 60f25f82-1032-411d-824b-b4bfac8cc294 · outbound

This paper cites arXiv preprint arXiv:2603.03857 (2026).

Perceptual Flow Network for Visually Grounded Reasoning arXiv preprint arXiv:2603.03857 (2026)

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.953868Z

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Observation 9bbe7f85-3904-4c30-8f5b-24271e8800f0 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Perceptual Flow Network for Visually Grounded Reasoning Evaluating Object Hallucination in Large Vision-Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:44:10.072171Z

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Observation 1e8d896b-5d56-4cf9-a435-ea9827dbe3b1 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

Perceptual Flow Network for Visually Grounded Reasoning A Survey on Hallucination in Large Vision-Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:10:10.379182Z

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Observation 8247fb7d-0ad2-44dd-b76f-cb60b85bacab · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916.

Perceptual Flow Network for Visually Grounded Reasoning Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.342731Z

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Observation 495c17ca-aa93-4950-980f-f50e411c6f5f · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge.https://llava-vl.github.io/blog/2024-01-30-llava-next/.

Perceptual Flow Network for Visually Grounded Reasoning Llava-next: Improved reasoning, ocr, and world knowledge.https://llava-vl.github.io/blog/2024-01-30-llava-next/

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.338815Z

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Observation 280ccb43-1365-4cec-8d79-965f4e89551c · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Perceptual Flow Network for Visually Grounded Reasoning Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.346600Z

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Observation 1392a791-a650-4c04-9439-6a34af18eab3 · outbound

This paper cites Look as you think: Unifying reasoning and visual evidence attribution for verifiable document rag via reinforcement learning.

Perceptual Flow Network for Visually Grounded Reasoning Look as you think: Unifying reasoning and visual evidence attribution for verifiable document rag via reinforcement learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.939789Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 963ceed0-7165-4296-a033-ba50d2872694 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233.

Perceptual Flow Network for Visually Grounded Reasoning Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.358600Z

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Observation db48f923-6577-4fbe-abaa-69289c49572b · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

Perceptual Flow Network for Visually Grounded Reasoning Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:16:16.677111Z

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Observation 6c77e42a-913e-4405-98e4-2bfc083b8fdb · outbound

This paper cites Visual Agentic Reinforcement Fine-Tuning.

Perceptual Flow Network for Visually Grounded Reasoning Visual Agentic Reinforcement Fine-Tuning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.959109Z

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Observation 9f4446c5-3ced-4497-86c2-aa4194159e55 · outbound

This paper cites Decoupled Weight Decay Regularization.

Perceptual Flow Network for Visually Grounded Reasoning Decoupled Weight Decay Regularization

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-09T06:15:38.862453Z

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Observation 34050e6a-4513-47ae-b94f-3533ad73f104 · outbound

This paper cites GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents.

Perceptual Flow Network for Visually Grounded Reasoning GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:10:58.174913Z

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Observation b3b68f45-4d24-4d24-9f03-b9ded88ddce3 · outbound

This paper cites Struvis: Enhancing reasoning-based text-to-image generation via thinking with structured vision.

Perceptual Flow Network for Visually Grounded Reasoning Struvis: Enhancing reasoning-based text-to-image generation via thinking with structured vision

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.891292Z

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Observation 42b92253-1357-44fc-b7ea-c07a2e37b357 · outbound

This paper cites Learning gflownets from partial episodes for improved convergence and stability.

Perceptual Flow Network for Visually Grounded Reasoning Learning gflownets from partial episodes for improved convergence and stability

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.328289Z

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Observation 5cc5c6d5-5abf-424e-a0bc-7ba0cab2f65f · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

Perceptual Flow Network for Visually Grounded Reasoning Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.332057Z

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Observation 354a0b71-94b0-4996-973c-153c98fbb277 · outbound

This paper cites Openai-gpt-4o.https://openai.com/index/gpt-4o-system-card/.

Perceptual Flow Network for Visually Grounded Reasoning Openai-gpt-4o.https://openai.com/index/gpt-4o-system-card/

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.321161Z

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Observation b3291600-312c-433b-99c8-fd5b7f602867 · outbound

This paper cites Openai-o3.https://openai.com/index/introducing-o3-and-o4-mini/.

Perceptual Flow Network for Visually Grounded Reasoning Openai-o3.https://openai.com/index/introducing-o3-and-o4-mini/

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.317564Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92d9c17e-9265-407d-95f0-8749e883c5c7 · outbound

This paper cites Operator: A computer-using agent.https://openai.com/index/operator-system-card/.

Perceptual Flow Network for Visually Grounded Reasoning Operator: A computer-using agent.https://openai.com/index/operator-system-card/

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.324686Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92fc9604-0070-4883-bb9c-4ce08f170083 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Perceptual Flow Network for Visually Grounded Reasoning UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.931163Z

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Observation 1f299891-0086-45c3-9564-655ca1528a8c · outbound

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

Perceptual Flow Network for Visually Grounded Reasoning Learning transferable visual models from natural language supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.335435Z

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Observation 68831d3e-7207-4926-9b9a-ce8a33a8ec54 · outbound

This paper cites Grounded Reinforcement Learning for Visual Reasoning.

Perceptual Flow Network for Visually Grounded Reasoning Grounded Reinforcement Learning for Visual Reasoning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.942584Z

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Observation a81389c6-a2b6-40a6-b5d9-93a8301ae4f9 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

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

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Observation 50515f0d-50f5-4fa3-9cf0-7db2b9113c5f · outbound

This paper cites Codedance: A dynamic tool-integrated mllm for executable visual reasoning.

Perceptual Flow Network for Visually Grounded Reasoning Codedance: A dynamic tool-integrated mllm for executable visual reasoning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.927047Z

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Observation 51eaa465-a263-429f-ad8b-f108bfaeee45 · outbound

This paper cites Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.

Perceptual Flow Network for Visually Grounded Reasoning Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:22:27.090901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 143290ce-9240-42f3-8932-36e849ee8ca6 · outbound

This paper cites Kimi-VL Technical Report.

Perceptual Flow Network for Visually Grounded Reasoning Kimi-VL Technical Report

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:06:31.748869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b11a51d-7e19-4344-82c4-d10c302e3b24 · outbound

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.Advances in Neural Information Processing Systems, 37:87310–87356.

Perceptual Flow Network for Visually Grounded Reasoning Cambrian-1: A fully open, vision-centric exploration of multimodal llms.Advances in Neural Information Processing Systems, 37:87310–87356

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.378544Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4da331a-8359-4c22-90a7-2aea09463702 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

Perceptual Flow Network for Visually Grounded Reasoning Attention is all you need.Advances in neural information processing systems, 30

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.313927Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac07db42-e67a-449d-9b37-61c9dd0d785d · outbound

This paper cites Trl: Transformer reinforcement learning.

Perceptual Flow Network for Visually Grounded Reasoning Trl: Transformer reinforcement learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.353364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23e3e54a-db4d-488f-aa32-3c83635bb105 · outbound

This paper cites Traceable evidence enhanced visual grounded reasoning: Evaluation and methodology.

Perceptual Flow Network for Visually Grounded Reasoning Traceable evidence enhanced visual grounded reasoning: Evaluation and methodology

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.824685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f5d6f7c-2247-4503-9983-1672ef99f06f · outbound

This paper cites VGR: Visual Grounded Reasoning.

Perceptual Flow Network for Visually Grounded Reasoning VGR: Visual Grounded Reasoning

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-09T06:15:38.970783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fd20e8d-c213-49f1-8e2b-e14185c83faf · outbound

This paper cites Measuring multimodal mathematical reasoning with math-vision dataset.Advances in Neural Information Processing Systems, 37:95095–95169.

Perceptual Flow Network for Visually Grounded Reasoning Measuring multimodal mathematical reasoning with math-vision dataset.Advances in Neural Information Processing Systems, 37:95095–95169

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.310577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64910dce-dc69-4630-a579-ba2f2aeebb41 · outbound

This paper cites Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models.

Perceptual Flow Network for Visually Grounded Reasoning Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.306716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df048a35-a7fe-4496-b6f0-40e77bff5d6d · outbound

This paper cites SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement.

Perceptual Flow Network for Visually Grounded Reasoning SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.894927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11cc80b7-b227-4e7b-9ad3-2ec7c91d7fd0 · outbound

This paper cites V*: Guided visual search as a core mechanism in multimodal llms.

Perceptual Flow Network for Visually Grounded Reasoning V*: Guided visual search as a core mechanism in multimodal llms

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.303415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42bb3cab-8a93-4d32-b092-b129026b36e0 · outbound

This paper cites Os-atlas: Foundation action model for generalist gui agents.

Perceptual Flow Network for Visually Grounded Reasoning Os-atlas: Foundation action model for generalist gui agents

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T04:17:21.299438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 927cc72e-da19-4c93-bf20-e80bbb8f0d99 · outbound

This paper cites Vacot: Rethinking visual data augmentation with vlms.

Perceptual Flow Network for Visually Grounded Reasoning Vacot: Rethinking visual data augmentation with vlms

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.851284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9868b5db-7fe2-451f-b3ad-670da9d701f7 · outbound

This paper cites Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement.

Perceptual Flow Network for Visually Grounded Reasoning Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.906515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6fc1e1c5-a631-47c3-9351-f136557fccc2 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Perceptual Flow Network for Visually Grounded Reasoning Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.794677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9983571-068c-4d3a-acbb-971c8aff9e13 · outbound

This paper cites MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?.

Perceptual Flow Network for Visually Grounded Reasoning MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:59:32.958879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e91595cd-287b-4832-81ae-129ed0ae54cd · outbound

This paper cites Thyme: Think Beyond Images.

Perceptual Flow Network for Visually Grounded Reasoning Thyme: Think Beyond Images

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:33:29.495992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4093ded3-4e22-4222-a32c-f11ff7e797cf · outbound

This paper cites Mirg-rl: Multi-image reasoning and grounding with reinforcement learning.

Perceptual Flow Network for Visually Grounded Reasoning Mirg-rl: Multi-image reasoning and grounding with reinforcement learning

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:38.800143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ce60f44-4638-442c-a7ab-c7acf4714fda · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Perceptual Flow Network for Visually Grounded Reasoning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:40:02.344422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4bb3097a-c652-4277-8c5a-2e34a4f2b928 · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

Perceptual Flow Network for Visually Grounded Reasoning DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:42:57.181531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b57d5ef-a71a-4ec7-b020-76f0ec0581ef · outbound

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

Perceptual Flow Network for Visually Grounded Reasoning InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:41:08.498970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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