Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics | Paper Citation Record

Observation 8f23cc93-8ecd-4cac-905a-0bc2ce7a1f7f · outbound

This paper cites Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:20.885116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ffefe2a-e24b-4590-be25-1a69b7e87f27 · outbound

This paper cites Research on Urban Street Spatial Quality Based on Street View Image Segmentation[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Research on Urban Street Spatial Quality Based on Street View Image Segmentation[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:20.673209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 586153b6-5ed8-4626-b701-c4566c96f455 · outbound

This paper cites Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:20.516256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0fc1fec-de7f-4e47-81f6-97a5cd090ac7 · outbound

This paper cites Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:20.331392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 211023d8-f9b6-49f8-bbfe-b7af71d06848 · outbound

This paper cites Built environment, urban vitality and social cohesion: Do vibrant neighborhoods foster strong communities?[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Built environment, urban vitality and social cohesion: Do vibrant neighborhoods foster strong communities?[J]

Reference 5

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Source-reported events for the cited work

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Observation 7add6a18-48e9-425d-95e7-4c8f844836bc · outbound

This paper cites Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:17.642699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94093e7-28ea-4ce9-bb39-4fd9b508f78d · outbound

This paper cites Streetscape Analysis with Generative AI (SAGAI): Vision-Language Assessment and Mapping of Urban Scenes[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Streetscape Analysis with Generative AI (SAGAI): Vision-Language Assessment and Mapping of Urban Scenes[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:20.159918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c318adb-ff10-4628-b33a-cd2f7a0a1b21 · outbound

This paper cites Quality of public space and sustainable development goals: analysis of nine urban projects in Spanish cities[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Quality of public space and sustainable development goals: analysis of nine urban projects in Spanish cities[J]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:19.985491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc7feeb7-2fc1-4395-b597-fce92e40098b · outbound

This paper cites Assessing street-level urban greenery using Google Street View and a modified green view index[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Assessing street-level urban greenery using Google Street View and a modified green view index[J]

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Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:17.674570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a5e99c-a502-4e33-85c8-024a79a24de7 · outbound

This paper cites Streetscore-predicting the perceived safety of one million streetscapes[C]//Proceedings of the IEEE conference on computer vision and pattern recognition workshops.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Streetscore-predicting the perceived safety of one million streetscapes[C]//Proceedings of the IEEE conference on computer vision and pattern recognition workshops

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:19.732083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b2af42d-0755-4c14-b3d7-8c261bbd95b2 · outbound

This paper cites The digital life of walkable streets[C]//Proceedings of the 24th international conference on World Wide Web.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics The digital life of walkable streets[C]//Proceedings of the 24th international conference on World Wide Web

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:19.317537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6012157b-d1f0-47b9-bab0-0c051665a7cd · outbound

This paper cites Sustainability, Creativity, and Livability in Great East Asian Megacities: Insights from Twenty-First Century Tokyo, Seoul, and Chinese Creative Clusters[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Sustainability, Creativity, and Livability in Great East Asian Megacities: Insights from Twenty-First Century Tokyo, Seoul, and Chinese Creative Clusters[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.983586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16cea47e-95e8-4d6b-b1dc-8f934deff5b2 · outbound

This paper cites Gender, fear and the night-time city[M]//Fair Shared Cities.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Gender, fear and the night-time city[M]//Fair Shared Cities

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.916221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 482cccc9-b68a-41c2-8dc5-d33ba7292777 · outbound

This paper cites The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city[C]//Proceedings of the 25th ACM conference on Hypertext and social media.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city[C]//Proceedings of the 25th ACM conference on Hypertext and social media

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.846947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a38a8de-cca4-4713-8698-6436e7e67758 · outbound

This paper cites an unresolved cited work.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:19.145096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6772f86d-5aac-4784-921a-4f30ec87b752 · outbound

This paper cites The city and the car[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics The city and the car[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.815761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22d08d9e-4f10-41d3-baa9-9f3718778a17 · outbound

This paper cites Assessing the level of walkability for women using GIS and location-based open data: The case of new york city[J].

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Assessing the level of walkability for women using GIS and location-based open data: The case of new york city[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:19.518768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e95bd789-34f1-4a6f-ac72-acb2f9d18d12 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics How to study public life[M]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.762615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1cc5d86a-7ac8-4606-a3a5-3631848019f9 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Effects of skeletal streetscape design on perceived safety[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.724268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93ce5d3a-606e-4c6d-91a7-57eb914e986b · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Dynamic Urban Imagery and Emotional Perception in Shanghai's North Bund: A Deep Learning Approach[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.694829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c06902ed-5125-43ba-b50c-97ffb3e85222 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Exploring the coherence and divergence between the objective and subjective measurement of streetscape perceptions at the neighborhood level: A case study in Shanghai[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.668311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd5be308-a7bd-480b-b99f-7d5f95b4f895 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Standardized green view index and quantification of different metrics of urban green vegetation[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.880420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e7164dd-67d1-4f5c-abdc-4ee292dcbaa7 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.640872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05bfdda7-0ffb-46cb-af05-7eadc9cfd989 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Determinants and effects of perceived walkability: a literature review, conceptual model and research agenda[J]

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics How to Construct an Urban Color System? Taking the Historic Center of Macau as an Example[J]

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f76a20af-fa76-4de3-94c9-96fcb3c58350 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Learning transferable visual models from natural language supervision[C]//International conference on machine learning

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f33507ed-bade-407b-9aa7-9b4c3e73f524 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web[C]//Proceedings of the ACM Web Conference 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.526974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d99a1b4f-6511-47bf-9241-496aa5f436db · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Uncertainties of human perception in visual image interpretation in complex urban environments[J]

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Observation e3f4eecc-2724-4e03-a75d-9b7d8263f36a · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Exploring the impact of urban built environment on public emotions based on social media data: a case study of Wuhan[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.466832Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1350cd71-0a83-4f15-aa30-b182e943583f · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Quantitative land price analysis via computer vision from street view images[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.435972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a7599a0-54b9-4e13-8691-22a47d076222 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Evaluating the subjective perceptions of streetscapes using street-view images[J]

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f6ee772-4304-4c58-b557-32d84c6c0b5c · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Timechat: A time-sensitive multimodal large language model for long video understanding[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.364618Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b006c46-cd77-42a2-8bdd-06589dae9f08 · outbound

This paper cites Urban Visual Appeal According to ChatGPT: Contrasting AI and Human Insights.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Urban Visual Appeal According to ChatGPT: Contrasting AI and Human Insights

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Resolution: verified exact; local_arxiv, observed 2026-08-07T10:30:18.169482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6cbe191-bb83-4a9f-9a48-7c6c95a988ce · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Multimodal Spatio-Temporal Data Visualization Technologies for Contemporary Urban Landscape Architecture: A Review and Prospect in the Context of Smart Cities[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.328326Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08abf6c2-e97b-408c-9e04-15abe509be24 · outbound

This paper cites StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model

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Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:17.896560Z

Source-reported events for the cited work

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Observation d3bf2d5d-84c2-4123-879f-89b4156e35f8 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence

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Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:17.905841Z

Source-reported events for the cited work

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Observation 0ccf12fb-b0dc-4fb6-8405-adf9b685ba2d · outbound

This paper cites LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5dce882b-1cee-4eeb-9f82-274ff2d7c3df · outbound

This paper cites Urbangpt: Spatio-temporal large language models[C]//Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Urbangpt: Spatio-temporal large language models[C]//Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.290346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bffa4a61-5ec0-4b87-8013-398f593de7c6 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics UrbanMLLM: Joint Learning of Cross-view Imagery for Urban Understanding[J]

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e0ab817-33c6-45e4-b062-30f963ffebae · outbound

This paper cites Urban Safety Perception Assessments via Integrating Multimodal Large Language Models with Street View Images.

Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Urban Safety Perception Assessments via Integrating Multimodal Large Language Models with Street View Images

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21630693-04c5-4b35-9e32-0efc999bf7d1 · outbound

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Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics Situation awareness in ai-based technologies and multimodal systems: Architectures, challenges and applications[J]

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:18.233234Z

Source-reported events for the cited work

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