OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization | Paper Citation Record

Observation d861c3d7-58e3-4323-94a2-6b2cd4f0739e · outbound

This paper cites Beyond language-specific neurons: The challenge of identifying speech-specific neurons in multimodal llms.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Beyond language-specific neurons: The challenge of identifying speech-specific neurons in multimodal llms

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.444633Z

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Observation 61b22be9-ee9c-400c-af3a-5ca10a29c871 · outbound

This paper cites Rehazing for dehazing: A physics-guided parametric augmentation net.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Rehazing for dehazing: A physics-guided parametric augmentation net

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.469594Z

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Observation ce0359af-9631-4b05-89e9-89fb4d628ac8 · outbound

This paper cites Sgnet: Sequence grouping network via vision-language model for text-guided video summarization.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Sgnet: Sequence grouping network via vision-language model for text-guided video summarization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.510442Z

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Observation 57d68699-12cb-4912-ab82-421755a6019b · outbound

This paper cites Cross-model adjudication for bias mitigation in large language models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Cross-model adjudication for bias mitigation in large language models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.513444Z

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Observation aaf2d121-6629-4152-9b1b-1b9e4e0db84a · outbound

This paper cites GPT-4o System Card.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization GPT-4o System Card

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.099375Z

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Observation 4e471633-12c2-487b-ba22-ce967aa60133 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Gemini: A Family of Highly Capable Multimodal Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.168609Z

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Observation f16a5dfc-7234-41eb-b27e-921f25513b09 · outbound

This paper cites Qwen2.5-VL Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen2.5-VL Technical Report

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.144296Z

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Observation f597c6e8-5eef-49d7-b298-43cfc185f295 · outbound

This paper cites Seed1.5-VL Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Seed1.5-VL Technical Report

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.152968Z

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Observation 3b801aa2-60ef-4001-8379-8483c79cd469 · outbound

This paper cites Gemma 3 Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Gemma 3 Technical Report

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.046570Z

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Observation 49b2ab09-668b-41b0-95c6-ca2f83855df6 · outbound

This paper cites Qwen2.5-Omni Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen2.5-Omni Technical Report

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.149534Z

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Observation 996aed95-25fb-47e3-9b14-a39f84d42d38 · outbound

This paper cites Step-Audio 2 Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Step-Audio 2 Technical Report

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.180020Z

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Observation 64724f55-ffd3-4fdc-86ad-bfd23c8b38d9 · outbound

This paper cites Kling-Omni Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Kling-Omni Technical Report

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.160325Z

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Observation 4e981d28-9269-4808-84ed-5cbaaad894a8 · outbound

This paper cites Longcat-flash-omni technical report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Longcat-flash-omni technical report

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.152975Z

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Observation bdcf122f-201e-4cd6-aee0-9a5a75ad1cbb · outbound

This paper cites Ming-flash-omni: A sparse, unified architecture for multimodal perception and generation.arXiv preprint arXiv:2510.24821.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Ming-flash-omni: A sparse, unified architecture for multimodal perception and generation.arXiv preprint arXiv:2510.24821

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.156969Z

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Observation d9d0573e-e1ac-475f-a076-319faa5b08f4 · outbound

This paper cites PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.156734Z

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Observation 607f4716-e3a0-4c61-a9b6-812310c67288 · outbound

This paper cites Is sora a world simulator? A comprehensive survey on general world models and beyond.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Is sora a world simulator? A comprehensive survey on general world models and beyond

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.066824Z

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Observation 7ed526a9-eb4e-490a-8810-63a8460db210 · outbound

This paper cites Towards a Physics Foundation Model.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Towards a Physics Foundation Model

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:04:00.845801Z

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Observation 8ae71692-9f57-4674-a175-bd2b90789bb6 · outbound

This paper cites Do generative video models understand physical principles?.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Do generative video models understand physical principles?

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.477692Z

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Observation 636c02a3-14cb-43db-a5d0-bb510b794563 · outbound

This paper cites Baichuan-omni-1.5 technical report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Baichuan-omni-1.5 technical report

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.136893Z

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Observation 5dfde257-404c-454f-b9c2-cd01636430de · outbound

This paper cites Physbench: Benchmarking and enhancing vision-language models for physical world understanding.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Physbench: Benchmarking and enhancing vision-language models for physical world understanding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.492268Z

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Observation 21295306-8f45-475c-9a85-93e04f72a8e0 · outbound

This paper cites Video generation models as world simulators.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Video generation models as world simulators

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.447301Z

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Observation 53dafe14-8e19-4c33-bf29-1a261ef3d584 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.176327Z

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Observation df59f3bf-8eea-4bfa-8907-cd7a7bc66919 · outbound

This paper cites IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:10:43.056774Z

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Observation f353f2d8-2a0a-42cb-8c6f-cdb1f3ebf623 · outbound

This paper cites Clevrer: Collision events for video representation and reasoning.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Clevrer: Collision events for video representation and reasoning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.485031Z

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Observation 1d455bfc-f675-4fcc-8d2a-64629c95e97f · outbound

This paper cites QuantiPhy: A quantitative benchmark evaluating physical reasoning abilities of vision-language models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization QuantiPhy: A quantitative benchmark evaluating physical reasoning abilities of vision-language models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.031902Z

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Observation 04f8db6c-c683-4fec-8c61-fa4b0631a96b · outbound

This paper cites ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.003448Z

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Observation 549df6a2-fd2e-4f87-b12a-95a23f15d525 · outbound

This paper cites Physunibench: An undergraduate-level physics reasoning benchmark for multimodal models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Physunibench: An undergraduate-level physics reasoning benchmark for multimodal models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.148985Z

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Observation d0b02330-e685-43cf-bb67-832da319682a · outbound

This paper cites Physreason: A comprehensive benchmark towards physics-based reasoning.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Physreason: A comprehensive benchmark towards physics-based reasoning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.449954Z

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Observation cadcb158-c6e8-4aef-b7fe-e0ff5907864d · outbound

This paper cites SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.124025Z

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Observation 5325efee-3f29-40ba-b57a-730deefb7a7e · outbound

This paper cites Phystoolbench: Benchmarking physical tool understanding for mllms.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Phystoolbench: Benchmarking physical tool understanding for mllms

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.144866Z

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Observation e20cc8fa-b600-452e-b600-df410db78356 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.538718Z

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Observation 5af52652-fd16-47e7-bf37-49d961a6a542 · outbound

This paper cites Introducing GPT-5.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Introducing GPT-5

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.517435Z

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Observation aad58e66-87d2-4b71-940b-1073e7080f94 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.051586Z

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Observation 990ac962-f728-465b-a11b-9560849c980d · outbound

This paper cites Qwen3-VL Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen3-VL Technical Report

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.127503Z

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Observation 4519d88b-f789-4311-915e-b0abdbe9bb99 · outbound

This paper cites Thinking in space: How multimodal large language models see, remember, and recall spaces.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Thinking in space: How multimodal large language models see, remember, and recall spaces

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.518894Z

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Observation 081fccec-a3ea-44f6-88a3-9056063dc4d2 · outbound

This paper cites Vggsound: A large-scale audio- visual dataset.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Vggsound: A large-scale audio- visual dataset

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.526723Z

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Observation 18c46a79-7e0a-42e6-a4ab-41cc01c6c148 · outbound

This paper cites Imagebind: One embedding space to bind them all.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Imagebind: One embedding space to bind them all

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.506483Z

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Observation 3427e70f-2fb2-4cdb-aef4-9792946896cc · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.116957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 81a8df12-33d6-4afa-bbe9-817e0b30fddc · outbound

This paper cites Qwen2-Audio Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen2-Audio Technical Report

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.164816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 573335b9-38bc-47a6-a93a-be98e4553853 · outbound

This paper cites Pearson correlation coefficient.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Pearson correlation coefficient

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.531996Z

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Observation 59ecc8ce-c6e5-43f7-a7ce-410b87fa3afc · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.084827Z

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Observation b613e685-4874-4339-a7f3-806441066147 · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Robust speech recognition via large-scale weak supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.457454Z

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Observation b976e329-652d-4ca7-8f87-e80c13b35426 · outbound

This paper cites Qwen2.5 Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen2.5 Technical Report

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.070950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 7df10c42-ec45-4078-b8e9-c72b742e0cb4 · outbound

This paper cites Wavtokenizer: an efficient acoustic discrete codec tokenizer for audio language modeling.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Wavtokenizer: an efficient acoustic discrete codec tokenizer for audio language modeling

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.498413Z

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No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 21430a21-6124-4dda-9123-d5ce096f8cf3 · outbound

This paper cites Scalable diffusion models with transformers.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Scalable diffusion models with transformers

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.533047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation fe4228e5-1fb9-45cc-ba86-977e2b387221 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Wan: Open and Advanced Large-Scale Video Generative Models

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.168203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 6410e3b0-7072-44bb-8275-b915b98e1cb1 · outbound

This paper cites CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.113107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation b058e9fb-e1db-4410-b06b-6564e2d91594 · outbound

This paper cites Flow Matching for Generative Modeling.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Flow Matching for Generative Modeling

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.079756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation c524476d-427a-4dae-924a-e291e7fc8e15 · outbound

This paper cites Laion-sg: An enhanced large-scale dataset for training complex image-text models with structural annotations.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Laion-sg: An enhanced large-scale dataset for training complex image-text models with structural annotations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.447765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 70f53f70-cb46-4cfd-85d9-90725dd80a60 · outbound

This paper cites LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.064327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 70926c21-d92d-4597-8dac-17608e19b362 · outbound

This paper cites Introducing claude haiku 4.5.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Introducing claude haiku 4.5

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.461533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation da1917cb-b98b-4f46-a922-5769b69aeae2 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.172052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation fb01f95e-4364-4822-be25-9306282fb6cd · outbound

This paper cites Ovis2.5 Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Ovis2.5 Technical Report

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.083429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 46296976-4b16-4e9f-81b0-5ebdf43cee33 · outbound

This paper cites Sail-vl2 technical report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Sail-vl2 technical report

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.124366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation e09c5877-750f-456e-9a6a-8817cdf9f697 · outbound

This paper cites Qwen3-Omni Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen3-Omni Technical Report

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.095373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation dba81716-6b20-4af9-97b9-6638432a8520 · outbound

This paper cites Omnivinci: Enhancing architecture and data for omni-modal understanding llm.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Omnivinci: Enhancing architecture and data for omni-modal understanding llm

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.060262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 2d88b525-f30b-4d7d-bdbc-137c52ccac4e · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.545204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation f1f260bb-e2bf-4efb-ac85-99812268bac2 · outbound

This paper cites Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.530037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 88a0e688-c2af-41c9-addc-9da5338698b1 · outbound

This paper cites Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.Advances in Neural Information Processing Systems, 36:49842–49869.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.Advances in Neural Information Processing Systems, 36:49842–49869

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:10:43.116139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 27e5c7e3-89b8-4014-9e57-35854977dee8 · outbound

This paper cites Kimi-Audio Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Kimi-Audio Technical Report

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.098032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 4d1f7e37-8934-48d5-9bda-95f97fcf39bc · outbound

This paper cites Audio-reasoner: Improving reasoning capability in large audio language models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Audio-reasoner: Improving reasoning capability in large audio language models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:42.992548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 9e029be1-4592-4b6f-a584-2dbfc5d5dded · outbound

This paper cites Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.108380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 2fefae84-4258-4384-b18d-4d79c71d5397 · outbound

This paper cites Omnibench: Towards the future of universal omni-language models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Omnibench: Towards the future of universal omni-language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.541886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 6be550dd-76f9-4b50-b549-d8a11824eb39 · outbound

This paper cites Worldsense: Evaluating real-world omnimodal understanding for multimodal llms.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Worldsense: Evaluating real-world omnimodal understanding for multimodal llms

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.514531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 2efce2d4-4034-4727-abfe-650838345e28 · outbound

This paper cites Mlvu: Benchmarking multi-task long video understanding.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Mlvu: Benchmarking multi-task long video understanding

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:10:43.140667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation b7005e22-e337-4f8c-a901-7107355a89a9 · outbound

This paper cites Fysicsworld: A unified full-modality benchmark for any-to-any understanding, generation, and reasoning.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Fysicsworld: A unified full-modality benchmark for any-to-any understanding, generation, and reasoning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.102222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation bb0960e6-f3d3-41ed-ae72-b47bf8781c4a · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.511552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation a969ff18-9ef4-455e-8981-020063375267 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player?.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Mmbench: Is your multi-modal model an all-around player?

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.508925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation fb23cb20-156c-4d5b-87cb-dfda099b92d5 · outbound

This paper cites Are we on the right way for evaluating large vision-language models?.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Are we on the right way for evaluating large vision-language models?

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.523603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 7bee040b-c0b6-4ecc-b2a9-bbc1aafd5097 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.536015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 5430323a-355a-42c3-8387-052ed75a43d8 · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.520384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 8e1d4e88-80ed-4499-99db-4262454543df · outbound

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

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.486718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation fc231c37-3d5a-4afc-a662-bc77c8bcb36d · outbound

This paper cites A diagram is worth a dozen images.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization A diagram is worth a dozen images

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.503521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 1fb46f57-bed1-43a4-9ed4-3f2d7114529f · outbound

This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.120077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 8471acb8-d7c3-46b0-a26b-e8b30fd7cbc5 · outbound

This paper cites MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.140348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 70fc5fc2-15d1-4e52-b2c8-7b25f8aaa9f3 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization High-resolution image synthesis with latent diffusion models

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.521087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 2345c93a-837e-4460-9f5c-7cc8a2a04a41 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:58:37.566044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 174de51e-42f7-4cc9-8806-20973e61353d · outbound

This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.047506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation c0b3b0ae-925d-4c11-a52b-13e69920a4fd · outbound

This paper cites Ovis-U1 Technical Report.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Ovis-U1 Technical Report

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.051870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 5f3f31d1-ceda-44ce-be33-d2661a195fb3 · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.103815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 85be4462-be47-4ebe-baf9-f38b9e6e89e1 · outbound

This paper cites Show-o2: Improved native unified multimodal models.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Show-o2: Improved native unified multimodal models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.529381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 874b950b-c105-400d-8306-29164bb621e2 · outbound

This paper cites Next-omni: Towards any-to-any omnimodal foundation models with discrete flow matching.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Next-omni: Towards any-to-any omnimodal foundation models with discrete flow matching

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.112527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 178de150-135b-4fba-a28a-af6f576a542f · outbound

This paper cites Uni-moe-2.0-omni: Scaling language- centric omnimodal large model with advanced moe, training and data.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Uni-moe-2.0-omni: Scaling language- centric omnimodal large model with advanced moe, training and data

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.137125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 74fd0d8d-a4eb-4c6d-80d7-b164acdd6b87 · outbound

This paper cites Ming-Omni: A Unified Multimodal Model for Perception and Generation.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Ming-Omni: A Unified Multimodal Model for Perception and Generation

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.160927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 11ceb584-45f8-4a41-8684-d60b19530cd5 · outbound

This paper cites Next-gpt: Any-to-any multimodal llm.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Next-gpt: Any-to-any multimodal llm

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.481574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 0d82824e-5015-4316-b493-eb3fb2cb9c44 · outbound

This paper cites Anygpt: Unified multimodal llm with discrete sequence modeling.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Anygpt: Unified multimodal llm with discrete sequence modeling

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.490696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 485a3bdf-2f3c-4719-911e-c5a947353cc3 · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Geneval: An object-focused framework for evaluating text-to-image alignment

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.516160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation c81631a5-656d-4b9b-aa1f-81111200c650 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:10:43.131417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

Observation 267fdb87-0b2d-4315-9950-900bbd4c7db3 · outbound

This paper cites Science-t2i: Addressing scientific illusions in image synthesis.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Science-t2i: Addressing scientific illusions in image synthesis

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T07:10:43.461279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

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Reference resolution

Outbound references

Pith citing papers