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Paper Citation Record · LEDGER

CityLLM: A framework for natural-language querying of semantic 3D city models

As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.14542.

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

pith.paper-citation-record.v1
2607.14542 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:50:38.502531Z

measured 59 of 59 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

59 of 59 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e423d7dd-f77a-4457-beaa-569030b1cc56 · outbound

This paper cites The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume=

Reference 1

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Observation 669a282d-20d9-40ca-9bed-28c5cdeb7801 · outbound

This paper cites ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume=

Reference 2

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source=arxiv_source observed=2026-08-02T01:50:32.663860Z digest=sha256:9a7f6ed279cdae5d7470ffb2829f9b35b2af2af3ac29743c4d4e40238f0796e8

Observation d682fe31-9630-45fa-86e7-9d9f1ed55b7c · outbound

This paper cites 12th International Conference on Geographic Information Science (GIScience 2023) , pages=.

CityLLM: A framework for natural-language querying of semantic 3D city models 12th International Conference on Geographic Information Science (GIScience 2023) , pages=

Reference 3

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source=arxiv_source observed=2026-08-02T01:50:32.739652Z digest=sha256:fa189a693b3362822c858dd3be2a457562b1e5717ead1c3e44cbec1e4a0e5b33

Observation a8bd18c0-94fe-43c9-8948-5f883e04df45 · outbound

This paper cites SPRS Geospatial Week (GSW) 2025 , year=.

CityLLM: A framework for natural-language querying of semantic 3D city models SPRS Geospatial Week (GSW) 2025 , year=

Reference 4

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source=arxiv_source observed=2026-08-02T01:50:32.835018Z digest=sha256:569f33f193e9d5264c882fdbc7a1069e32583bdddf3377f4ef8a7a48d9331d5b

Observation b1e4fef8-2a33-43ed-9d00-bf2d7b2f18c2 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year=.

CityLLM: A framework for natural-language querying of semantic 3D city models IEEE Transactions on Knowledge and Data Engineering , year=

Reference 5

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source=arxiv_source observed=2026-08-02T01:50:32.969395Z digest=sha256:e7223edc1cb84357b6d7830ac261a5aa873f3db214b7014639b00ac5fbe365be

Observation 99fc30ee-91f9-4faa-ade8-5a1b1e9d5801 · outbound

This paper cites 3D geo-information sciences , pages=.

CityLLM: A framework for natural-language querying of semantic 3D city models 3D geo-information sciences , pages=

Reference 6

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source=arxiv_source observed=2026-08-02T01:50:33.149949Z digest=sha256:5726e3651656662b7ccfdeb51de8d374ccc5947f6eb172bf12e8a145b722c62e

Observation 1370c9d7-6a71-477e-8ab3-50f69ef4ffa4 · outbound

This paper cites Open Geospatial Data, Software and Standards , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Open Geospatial Data, Software and Standards , volume=

Reference 7

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source=arxiv_source observed=2026-08-02T01:50:33.291740Z digest=sha256:e11128792c2ce24ed30cd8309e66a3aa78f71741b808e323346823952ffc1971

Observation d303a8f8-74d4-4cd7-9dde-eda0af3cea56 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models ISPRS Journal of Photogrammetry and Remote Sensing , volume=

Reference 8

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source=arxiv_source observed=2026-08-02T01:50:33.433267Z digest=sha256:9052f832b49529dcfd638ab9df77baf97fe0d28aec31b2660118737d12c42936

Observation b8e49c31-23f3-4e9b-86bc-f46029b67e97 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models IEEE Transactions on Geoscience and Remote Sensing , volume=

Reference 9

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source=arxiv_source observed=2026-08-02T01:50:33.547079Z digest=sha256:f6aaef832c12be5694ae8e7c4f1fa482e14b66cd788ff0685b878dff68b788a9

Observation 388192ae-8e42-4d81-93ea-e429c10d4c94 · outbound

This paper cites ISPRS International Journal of Geo-Information , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models ISPRS International Journal of Geo-Information , volume=

Reference 10

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source=arxiv_source observed=2026-08-02T01:50:33.697481Z digest=sha256:45fad266e74fb006898bef50e7280b49ba3828de682b6679fd4019d5eb6919bd

Observation 7e48aaeb-0082-4e3d-9113-e4f8acb802ea · outbound

This paper cites International Journal of Digital Earth , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models International Journal of Digital Earth , volume=

Reference 11

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source=arxiv_source observed=2026-08-02T01:50:33.838686Z digest=sha256:5b28b83919d0871e92355e12b293666c328f7eac1b081bdfe7f53f6dc064bcc5

Observation 57913705-6727-4e88-93c4-3bc7f6fa9188 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems , pages=.

CityLLM: A framework for natural-language querying of semantic 3D city models Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems , pages=

Reference 12

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source=arxiv_source observed=2026-08-02T01:50:34.020042Z digest=sha256:fe274a650d5749673f3b507291a98d423261b9cd205bdec48c98b4b21e382910

Observation 867f7fa4-23f2-4c2e-897d-7af2195b2c63 · outbound

This paper cites Nature Communications , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Nature Communications , volume=

Reference 13

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source=arxiv_source observed=2026-08-02T01:50:34.200228Z digest=sha256:934b39c66dcd083ad055fb2f4aed605be9f4543c0d87b29c425c1eb16b6fcc41

Observation 9606e643-4382-4c56-ad02-ff0172df11f7 · outbound

This paper cites International Journal of Applied Earth Observation and Geoinformation , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models International Journal of Applied Earth Observation and Geoinformation , volume=

Reference 14

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source=arxiv_source observed=2026-08-02T01:50:34.363181Z digest=sha256:9d39af8585893e58dcdd39f8af9751e6eae4f2a609c01f24ba5f6033f3274eb2

Observation 1dd247d9-9b3d-4754-b831-037e76578755 · outbound

This paper cites Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search.

CityLLM: A framework for natural-language querying of semantic 3D city models Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search

Reference 15

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Observation afcb905f-c990-4ded-a236-c9152c875c49 · outbound

This paper cites International Journal of Applied Earth Observation and Geoinformation , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models International Journal of Applied Earth Observation and Geoinformation , volume=

Reference 16

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Observation 46219d46-7d34-4f73-923f-80319276dfba · outbound

This paper cites International Journal of Applied Earth Observation and Geoinformation , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models International Journal of Applied Earth Observation and Geoinformation , volume=

Reference 17

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source=arxiv_source observed=2026-08-02T01:50:34.908328Z digest=sha256:8574cd290e5be13fa7d0b0d1745901d7c09ef79f33a10dc0075332afdc147948

Observation a73caf2a-4cd5-4ce1-999d-f725d0627a1f · outbound

This paper cites Electronics , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Electronics , volume=

Reference 20

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Observation 698e5523-8228-4c52-9c42-c99f5779ab33 · outbound

This paper cites IET Smart Cities , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models IET Smart Cities , volume=

Reference 21

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Observation 54d6de26-20b2-4b03-b53b-cf10070e1b96 · outbound

This paper cites Data-Centric Engineering , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Data-Centric Engineering , volume=

Reference 22

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Observation de84afa1-7eea-4882-810d-57137a2a9ee1 · outbound

This paper cites 2012 , publisher=.

CityLLM: A framework for natural-language querying of semantic 3D city models 2012 , publisher=

Reference 23

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Observation 919433de-46d3-45c3-ae03-b7bf44e9a76a · outbound

This paper cites The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume=

Reference 24

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Observation f6cfc1c9-3b62-476a-aeb2-d51410b2c1c5 · outbound

This paper cites International Journal of Geographical Information Science , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models International Journal of Geographical Information Science , volume=

Reference 25

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Observation 00efcbc7-4045-41d6-bc21-7886c4a0dedc · outbound

This paper cites Computational intelligence and neuroscience , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Computational intelligence and neuroscience , volume=

Reference 26

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Observation bae77e99-b0a8-4864-a91d-dc5a19b77632 · outbound

This paper cites Science , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Science , volume=

Reference 27

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Observation 492e9b4f-02c6-4dc2-8a52-81fa6bc3469c · outbound

This paper cites 2010 , publisher=.

CityLLM: A framework for natural-language querying of semantic 3D city models 2010 , publisher=

Reference 28

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Observation 72815935-fcd3-46fd-8c4c-c714ba2f9309 · outbound

This paper cites Environmental Health , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Environmental Health , volume=

Reference 29

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Observation d3a6f56f-7f17-4b29-a241-8340d7cb708e · outbound

This paper cites International Journal of Geographical Information Science , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models International Journal of Geographical Information Science , volume=

Reference 30

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Observation 3aee3af3-e9a3-4eb2-a263-593ff54483c6 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CityLLM: A framework for natural-language querying of semantic 3D city models LLaMA: Open and Efficient Foundation Language Models

Reference 31

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Observation 74c05f41-cf17-4914-a95b-aa4351bc55e5 · outbound

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CityLLM: A framework for natural-language querying of semantic 3D city models Student thesis series INES , year=

Reference 33

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Observation a8ea9a39-1f85-44b1-baf8-282b3a45e7db · outbound

This paper cites Geographical Analysis , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Geographical Analysis , volume=

Reference 34

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Observation c0c61e38-b2a5-4345-90ed-d61f98ee0f1b · outbound

This paper cites Automation in Construction , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Automation in Construction , volume=

Reference 36

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Observation bc1acc89-516e-4c0b-8d6d-ed2c79500d03 · outbound

This paper cites ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume =.

CityLLM: A framework for natural-language querying of semantic 3D city models ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume =

Reference 37

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Observation 7596c847-a84c-49be-b301-1b78de188131 · outbound

This paper cites Automation in Construction , volume=.

CityLLM: A framework for natural-language querying of semantic 3D city models Automation in Construction , volume=

Reference 38

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Observation 9996073a-ba0a-48e8-b4d7-c03ad3ef03ae · outbound

This paper cites 3D City Database: The Open Source CityGML Database.

CityLLM: A framework for natural-language querying of semantic 3D city models 3D City Database: The Open Source CityGML Database

Reference 39

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Observation c2ce8393-088d-41f1-b40d-3704eedd6e26 · outbound

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CityLLM: A framework for natural-language querying of semantic 3D city models GPT-4 Technical Report

Reference 40

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Observation e7c67b3d-53ac-4d61-b97c-3e0ddc064f4e · outbound

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CityLLM: A framework for natural-language querying of semantic 3D city models Universal digital twin-a dynamic knowledge graph

Reference 41

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Observation 255d6098-01f3-4fee-920d-35d95def741c · outbound

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CityLLM: A framework for natural-language querying of semantic 3D city models Modeling and analyzing urban networks and amenities with OSMnx

Reference 42

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CityLLM: A framework for natural-language querying of semantic 3D city models Unresolved cited work

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This paper cites Y., Ang, W., Phua, S.

CityLLM: A framework for natural-language querying of semantic 3D city models Y., Ang, W., Phua, S

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This paper cites Geoqamap-geographic question answering with maps leveraging llm and open knowledge base (short paper).

CityLLM: A framework for natural-language querying of semantic 3D city models Geoqamap-geographic question answering with maps leveraging llm and open knowledge base (short paper)

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This paper cites o ger, G., Pl \.

CityLLM: A framework for natural-language querying of semantic 3D city models o ger, G., Pl \

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This paper cites Linked geodata: CityGML represented as a virtual knowledge graph.

CityLLM: A framework for natural-language querying of semantic 3D city models Linked geodata: CityGML represented as a virtual knowledge graph

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This paper cites H., 2025a.

CityLLM: A framework for natural-language querying of semantic 3D city models H., 2025a

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This paper cites H., 2025b.

CityLLM: A framework for natural-language querying of semantic 3D city models H., 2025b

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This paper cites H., 2009.

CityLLM: A framework for natural-language querying of semantic 3D city models H., 2009

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Observation 5c5d1ccf-7bcb-43fe-9e32-603e069d1654 · outbound

This paper cites Query2property: Semantic retrieval of ifc properties for natural language bim queries.

CityLLM: A framework for natural-language querying of semantic 3D city models Query2property: Semantic retrieval of ifc properties for natural language bim queries

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Observation e5f43376-7c04-4a82-b79b-556c35b64ba3 · outbound

This paper cites IfcLLM: Natural Language Querying of IFC Models through Complementary Relational and Graph Representations.

CityLLM: A framework for natural-language querying of semantic 3D city models IfcLLM: Natural Language Querying of IFC Models through Complementary Relational and Graph Representations

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This paper cites CityJSON: A compact and easy-to-use encoding of the CityGML data model.

CityLLM: A framework for natural-language querying of semantic 3D city models CityJSON: A compact and easy-to-use encoding of the CityGML data model

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Observation 1468e936-e686-4c90-b228-924847180316 · outbound

This paper cites GeoGraphRAG: A graph-based retrieval-augmented generation approach for empowering large language models in automated geospatial modeling.

CityLLM: A framework for natural-language querying of semantic 3D city models GeoGraphRAG: A graph-based retrieval-augmented generation approach for empowering large language models in automated geospatial modeling

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Observation 56dc1179-44b1-41ce-9b3a-4fe70b6e8089 · outbound

This paper cites Artificial intelligence-enabled metaverse for sustainable smart cities: Technologies, applications, challenges, and future directions.

CityLLM: A framework for natural-language querying of semantic 3D city models Artificial intelligence-enabled metaverse for sustainable smart cities: Technologies, applications, challenges, and future directions

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Observation a0994381-06ee-4e80-b85a-6284b58da42d · outbound

This paper cites Kcitychatbot: A knowledge graph based chatbot system for large-scale citygml dataset.

CityLLM: A framework for natural-language querying of semantic 3D city models Kcitychatbot: A knowledge graph based chatbot system for large-scale citygml dataset

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This paper cites LLM-enabled multi-agent framework for natural language interaction with graph-based digital twins.

CityLLM: A framework for natural-language querying of semantic 3D city models LLM-enabled multi-agent framework for natural language interaction with graph-based digital twins

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Observation 3598ebb9-e031-432a-88be-63c0bece8868 · outbound

This paper cites OGC-AI: A Retrieval-Augmented Large Language Model Interface for Open Geospatial Consortium Web Services.

CityLLM: A framework for natural-language querying of semantic 3D city models OGC-AI: A Retrieval-Augmented Large Language Model Interface for Open Geospatial Consortium Web Services

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Observation 1a429864-6504-4a2b-9ee7-184ad02d4c2f · outbound

This paper cites Text-based automatic knowledge graph construction for road infrastructure operations management.

CityLLM: A framework for natural-language querying of semantic 3D city models Text-based automatic knowledge graph construction for road infrastructure operations management

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CityLLM: A framework for natural-language querying of semantic 3D city models Wikidata Query Service

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Observation 40ce548e-1635-4398-9abf-d7d4a67734b7 · outbound

This paper cites Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.

CityLLM: A framework for natural-language querying of semantic 3D city models Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment

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Observation b460277e-8afb-4f49-a0db-76b2b249f66d · outbound

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CityLLM: A framework for natural-language querying of semantic 3D city models LLM-enhanced disaster geolocalization using implicit geoinformation from multimodal data: A case study of Hurricane Harvey

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Observation 3b551936-2409-49a0-9b1c-0ccae2ef0349 · outbound

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CityLLM: A framework for natural-language querying of semantic 3D city models Towards urban general intelligence: A review and outlook of urban foundation models

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