Paper Citation Record · LEDGER

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 14 inbound Pith citation observations for arXiv:2502.18470.

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

pith.paper-citation-record.v1
2502.18470 v5

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:03:40.260659Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:58.467985Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.367260Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy28
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07a52c52-b327-4de1-8ffe-0d731f19fdc4 · outbound

This paper cites Text embeddings for retrieval from a large knowledge base.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Text embeddings for retrieval from a large knowledge base

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.918167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7bf0fb48-ffcc-4ec7-a1e9-57276712d626 · outbound

This paper cites Parameterized spatial sql translation for geographic question answering.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Parameterized spatial sql translation for geographic question answering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.903056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 59765a8b-9f9a-4079-8b51-efd1ff893fe1 · outbound

This paper cites RAG-based Question Answering over Heterogeneous Data and Text.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions RAG-based Question Answering over Heterogeneous Data and Text

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.069752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 110eafd8-44f1-444a-8066-460856509b2b · outbound

This paper cites Joint spatio-textual reasoning for answering tourism questions.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Joint spatio-textual reasoning for answering tourism questions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.888594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 003d71a3-4b75-4273-a5d9-06611ac84dfa · outbound

This paper cites Geographic and geopolitical biases of language models.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Geographic and geopolitical biases of language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.873245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99d80f47-7ac9-4ed6-a7bb-6480cf4b31d1 · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.086514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dbc4547-89a4-4540-a004-769273c7ae61 · outbound

This paper cites Language models represent space and time.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Language models represent space and time

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.845505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8145ded3-ca19-4061-bda7-199ac2770f48 · outbound

This paper cites G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.096294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33d3fd96-3ab0-4d1a-9883-70853d79305a · outbound

This paper cites Evaluating the effectiveness of large language models in representing textual descriptions of geometry and spatial relations (short paper).

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Evaluating the effectiveness of large language models in representing textual descriptions of geometry and spatial relations (short paper)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.827774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 45fb9232-d9a0-4d26-aeb0-d4045546f3f2 · outbound

This paper cites The question answering system geoqa2 and a new benchmark for its evaluation.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions The question answering system geoqa2 and a new benchmark for its evaluation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.809583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76e3fe6c-298d-48ac-b876-92ed6013569b · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.793256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa498fdc-6076-4f5c-af7c-d44d4eea4570 · outbound

This paper cites Advancing spatial reasoning in large language models: An in-depth evaluation and enhancement using the stepgame benchmark.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Advancing spatial reasoning in large language models: An in-depth evaluation and enhancement using the stepgame benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.114903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e318a4df-148e-4807-b3ad-e614f394e7b9 · outbound

This paper cites GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.119117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eaca316-a0dc-4deb-9f32-633525e2de27 · outbound

This paper cites Do Language Models Know the Way to Rome?.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Do Language Models Know the Way to Rome?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.124860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51170a85-eef1-47b7-b418-5340edcac3b2 · outbound

This paper cites On the opportunities and challenges of foundation models for geoai (vision paper).

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions On the opportunities and challenges of foundation models for geoai (vision paper)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.766439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3bf4f8d7-8d17-4440-bd75-023440de96fb · outbound

This paper cites Geographic question answering: challenges, uniqueness, classification, and future directions.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Geographic question answering: challenges, uniqueness, classification, and future directions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.750292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 342141ba-9814-4169-9fe6-c7e6816d7ba6 · outbound

This paper cites Large language models are geographically biased.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Large language models are geographically biased

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.140917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ef1cc4-4f9e-4eca-92bc-170b2c51f283 · outbound

This paper cites Geollm: Extracting geospatial knowledge from large language models.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Geollm: Extracting geospatial knowledge from large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.722581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1429f4a7-9ab4-43ef-9cf2-9fceee3b0c7e · outbound

This paper cites GPT4GEO: How a Language Model Sees the World's Geography.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions GPT4GEO: How a Language Model Sees the World's Geography

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.151838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece7d059-83f8-4938-b570-bad50ec31f44 · outbound

This paper cites Improving the domain adaptation of retrieval augmented generation (rag) models for open domain question answering.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Improving the domain adaptation of retrieval augmented generation (rag) models for open domain question answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.158072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64019bcf-654e-4dfa-befb-fb5d5c53df2c · outbound

This paper cites TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.163662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703eff37-9cac-47ec-9034-9843a73256cb · outbound

This paper cites Travelplanner: A benchmark for real-world planning with language agents.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Travelplanner: A benchmark for real-world planning with language agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.169397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c75489-e186-423a-8dd3-2541b6b974a1 · outbound

This paper cites Llms as collaborator: Demands-guided collaborative retrieval-augmented generation for commonsense knowledge-grounded open- domain dialogue systems.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Llms as collaborator: Demands-guided collaborative retrieval-augmented generation for commonsense knowledge-grounded open- domain dialogue systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.684170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39d34097-c0ff-4de0-b4f7-9984578e30bb · outbound

This paper cites Bb-geogpt: A framework for learning a large language model for geographic information science.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Bb-geogpt: A framework for learning a large language model for geographic information science

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.666932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 641d390b-ed84-449e-8a4c-83cc8c4323d0 · outbound

This paper cites • The abstract and/or introduction should clearly state the claims made, including the contributions made in the paper and important assumptions and limitations.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions • The abstract and/or introduction should clearly state the claims made, including the contributions made in the paper and important assumptions and limitations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.650626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b2d643d-84c8-4616-a1b2-a961398d00d4 · outbound

This paper cites Limitations.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Limitations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.634138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f51debf5-b143-4cc2-abeb-a1a68fd3994f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.619409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7e97584-4ad7-438b-a419-c188a9e9ec6b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper does not include experiments

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.604529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fda3bfc2-5314-4f90-b3e9-02cd185b8668 · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.590666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c33738bd-a459-41b6-9dba-96f7da1059ec · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper does not include experiments

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.574259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb913d0e-8301-4dce-8def-f222bafffc40 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper does not include experiments

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.557421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5976b0c3-9c9b-4802-ba65-e0605e952752 · outbound

This paper cites • The answer NA means that the paper does not include experiments.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions • The answer NA means that the paper does not include experiments

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.541388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8698bcd0-c77b-4099-bd2d-b519e257f3d9 · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.524919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ee6f6b6-152d-4acd-aa2d-f73ff6047ca1 · outbound

This paper cites • If the authors answer NA or No, they should explain why their work has no societal impact or why the paper does not address societal impact.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions • If the authors answer NA or No, they should explain why their work has no societal impact or why the paper does not address societal impact

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.508610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b13c9100-051c-4594-b9b0-40facab26777 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper poses no such risks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.490345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b32dfb86-1935-4643-a660-616c42bb9db2 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper does not use existing assets

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.472082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1890bc1d-1c3f-4d9e-9af2-8b8c428b5ef9 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper does not release new assets

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.455800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17c68d10-97fe-4c08-9af1-0cd78d4f70f6 · outbound

This paper cites an unresolved cited work.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:03:40.439519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8f79da3-9662-44e6-a228-189a5ec192ba · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.423108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e5b86be-e2f0-480b-9309-5848f220a213 · outbound

This paper cites {user_query}.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions {user_query}

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:03:40.405603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 4c9cbac0-4338-4363-8c2c-daf047fb5528 · inbound

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations cites this paper.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:42:13.385061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adf9ef11-ba35-407a-964b-504ae473c706 · inbound

Can LLMs Learn to Map the World from Local Descriptions? cites this paper.

Can LLMs Learn to Map the World from Local Descriptions? Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:58.467985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b186c1-933a-42e9-93cb-33fa547a2076 · inbound

DistRAG: Towards Distance-Based Spatial Reasoning in LLMs cites this paper.

DistRAG: Towards Distance-Based Spatial Reasoning in LLMs Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:55.014718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890a8127-1a70-4780-89b5-4cf4d30956b7 · inbound

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis cites this paper.

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:24.085089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f734c761-378b-4f59-8fd8-3436af60ff29 · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 212

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:11.412177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70ff868-81ef-4b14-b30e-b0358a998655 · inbound

Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models cites this paper.

Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T10:42:47.639839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14da576d-a153-452e-8abf-129b8dd11c2b · inbound

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression cites this paper.

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T21:28:34.047224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f951183-1070-4af3-b244-1d326f4c445e · inbound

SAR-RAG: ATR Visual Question Answering by Semantic Search, Retrieval, and MLLM Generation cites this paper.

SAR-RAG: ATR Visual Question Answering by Semantic Search, Retrieval, and MLLM Generation Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:37:32.731748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d619a3ed-6a58-4999-abf8-86b5fc190da2 · inbound

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions cites this paper.

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:19:35.454966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 646b801d-3f78-411c-ad65-5117cd896602 · inbound

Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs cites this paper.

Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:06.875661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b2b6b10-23be-4220-aa03-b42695d34222 · inbound

TRACE: Tourism Recommendation with Accountable Citation Evidence cites this paper.

TRACE: Tourism Recommendation with Accountable Citation Evidence Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:58.059966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d3eff888-c948-48c8-91f5-469ba8d69007 · inbound

GS-QA: A Benchmark for Geospatial Question Answering cites this paper.

GS-QA: A Benchmark for Geospatial Question Answering Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:34:31.723251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6b99186f-eef5-466c-8c39-4f4be49670c8 · inbound

CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference cites this paper.

CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:19:30.156285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c98696f8-f965-42fc-a6f2-4124050ea895 · inbound

Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation cites this paper.

Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.368554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.