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Paper Citation Record · LEDGER

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.26518.

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

pith.paper-citation-record.v1
2607.26518 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:08:30.800648Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 1238daf1-96d0-4aeb-96f4-8c0376afe560 · outbound

This paper cites GPT-4 Technical Report.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding GPT-4 Technical Report

Reference 1

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Observation c5ee56d7-3138-4926-9a51-7f1977ea3575 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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Observation 966b3c20-cf93-4245-a8e6-71b25a394364 · outbound

This paper cites Qwen2.5-VL Technical Report.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Qwen2.5-VL Technical Report

Reference 3

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Observation 4af56fb8-eba6-484e-8cf3-df061d59a1da · outbound

This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 4

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Observation fd793225-e6ef-455b-b183-eb0674d3f37d · outbound

This paper cites In: 2020 25th International Conference on Pattern Recognition (ICPR).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: 2020 25th International Conference on Pattern Recognition (ICPR)

Reference 5

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Observation 3e3b9c5e-c3c7-4ded-bcac-f45658f130eb · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 6

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Observation 107ab560-8696-45ed-94ff-044ceaeebc2d · outbound

This paper cites IEEE Transactions on Pattern Anal- ysis and Machine Intelligence43(11), 4125–4141 (2021).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding IEEE Transactions on Pattern Anal- ysis and Machine Intelligence43(11), 4125–4141 (2021)

Reference 7

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Observation 076bc363-7d64-476d-9a14-c666586673a1 · outbound

This paper cites In: Proceedings of the First Workshop on Comparative Performance Evaluation: From Rules to Language Models.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the First Workshop on Comparative Performance Evaluation: From Rules to Language Models

Reference 8

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Observation dd3678dd-72d2-47b7-a8a1-12eda15f297a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 9

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Observation 355421b6-cc3b-46ca-bb22-782bcd7a0ebc · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 10

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Observation 4b042e78-d559-4684-b3f2-14a1974c6724 · outbound

This paper cites In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019

Reference 11

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Observation c85052ad-3a78-48d0-9fdd-0e2be3abff50 · outbound

This paper cites DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

Reference 12

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Observation 1601b9f8-cf4f-4edd-8f20-6d9d147efd5b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2022).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2022)

Reference 13

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Observation 9fa3b80e-61bc-445b-916c-fd8c11442806 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 14

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Observation 6406b937-e5b1-48cf-9be5-41fadc9d541e · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 15

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Observation 9d118a28-ca90-4308-82f2-bc63c6c22e9d · outbound

This paper cites In: Ku, L.W., Martins, A., Srikumar, V.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Ku, L.W., Martins, A., Srikumar, V

Reference 16

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Observation 36611968-9571-481b-8141-34487f7cbbd2 · outbound

This paper cites In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 17

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Observation 32affd18-9ea6-406c-abdc-338ff0ea617a · outbound

This paper cites Soft Computing24(15), 11007–11017 (2020).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Soft Computing24(15), 11007–11017 (2020)

Reference 18

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Observation 1ec5ac7d-a3d1-43bf-8241-d7eb9da0accd · outbound

This paper cites Multimedia Tools and Applica- tions83(22), 62107–62158 (2024).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Multimedia Tools and Applica- tions83(22), 62107–62158 (2024)

Reference 19

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Observation 6f24fa02-669e-42da-b1b7-e6fe14e69d4b · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2018) EgoSafe 19.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2018) EgoSafe 19

Reference 20

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Observation c8dea55e-e46c-4460-84cd-7104afeafac7 · outbound

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

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Gemini: A Family of Highly Capable Multimodal Models

Reference 21

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Observation e9d3524b-fee0-4c0d-bafa-b670e763960b · outbound

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

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 22

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Observation 493aa63f-ad35-4f23-9a1f-73952c6478ae · outbound

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EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Unresolved cited work

Reference 23

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Observation 43291a9f-e330-4fae-8b52-84c2df60345f · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 24

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Observation 5f0b5937-b160-48b0-bc2a-a1e94bbfca78 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 25

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Observation 3a66ad8a-2a45-4741-8394-25dfa51c96f8 · outbound

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

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 26

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Observation 3f261905-45cb-4fb0-b2d3-10ff1f52fe30 · outbound

This paper cites EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation

Reference 27

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Observation 2195768c-a2a3-46c9-bb03-4f9e0d50e3f4 · outbound

This paper cites In: European Conference on Computer Vision (ECCV) (2020).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: European Conference on Computer Vision (ECCV) (2020)

Reference 28

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Observation cb1fa7f8-7e9d-4faa-a6ec-e1f7c1a10388 · outbound

This paper cites IEEE Transactions on Multimedia26, 8557–8568 (2024).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding IEEE Transactions on Multimedia26, 8557–8568 (2024)

Reference 29

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Observation 6b3eb700-223a-450f-ba72-9eb2d5a93b85 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 30

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Observation 17a34a6f-8fd3-46c6-8a05-67961826e038 · outbound

This paper cites Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions

Reference 31

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Observation 6af20450-3880-4bfe-8fdd-51bd3d9b54d0 · outbound

This paper cites an unresolved cited work.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Unresolved cited work

Reference 32

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Observation 11a02e51-0662-40f4-92ad-3a969d6db804 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 33

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Observation 44e2df20-b144-4986-8c0f-970959fcf388 · outbound

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EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Unresolved cited work

Reference 34

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Observation a4697c95-0698-472d-95c5-89e4f4302d38 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2023).

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2023)

Reference 35

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Pith citing papers

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