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Paper Citation Record · LEDGER

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.05881.

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

pith.paper-citation-record.v1
2509.05881 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:24:25.230904Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

46 of 46 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved21
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5aecb307-8b71-44ea-ad37-3ee27e4ff5ee · outbound

This paper cites and Lessani, M.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Lessani, M

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.031174Z digest=sha256:320b7ccb38b22c7a8960677af33d2356435a821cf27e834cd0b18238c93d93a3

Observation ec062f1b-db42-4bc6-9705-f75a72c2ea52 · outbound

This paper cites E., Wulder, M.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation E., Wulder, M

Reference 2

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Source-reported events for the cited work

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Observation 805ccd1b-c6e2-4f11-9341-ba5a3e426c4c · outbound

This paper cites ://www.anthropic.com/news/claude-3-5-sonnet.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation ://www.anthropic.com/news/claude-3-5-sonnet

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8eb7ca7c-978c-4f05-9278-3ec211171f18 · outbound

This paper cites and Waters, N.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Waters, N

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.045538Z digest=sha256:5a66a9671f639f18d3cb493927a3ff6257645f61ba482759860070dc45cda27c

Observation 88305b70-c8bd-4d31-8a00-36b401669396 · outbound

This paper cites GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.050333Z digest=sha256:39787a6befc992d3995cac4d49b28fe66857f9bbf763f52571560c05e9499e29

Observation 4ebaa39f-9807-4cd0-99e4-a865f665e472 · outbound

This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.055333Z digest=sha256:fbe4e2ceec59c661bcf2fd6411a005ce2ca0aeaf00ddf649791fb0dd26d0643b

Observation 8f9194af-be7b-4fbf-8122-e801185e0247 · outbound

This paper cites GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks

Reference 7

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no resolver link, observed 2026-08-15T16:24:25.060741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.060741Z digest=sha256:a113e924f0e5bcca8a2ae940b7117c10fc22b0ae14f54ff124616f547099834e

Observation 392c4244-1f70-43ea-9e96-bb363708487b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.065351Z digest=sha256:7841ce2b2a59787e64ab439dba889d683479241e1afd8e5bd1f3c361d8d2d6ca

Observation 5d82b4ad-3592-44b5-84ae-37e0defdbf66 · outbound

This paper cites an unresolved cited work.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation fe183aea-dffd-4a82-8e7f-26b0aacec135 · outbound

This paper cites and Szyma \'n ski, P.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Szyma \'n ski, P

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.074218Z digest=sha256:286608114fab5d904981613bb938f23851a3b05f4693b9fb397aa88429fa9b86

Observation 89bba5a7-bdca-4e38-829f-3e912160956f · outbound

This paper cites The Llama 3 Herd of Models.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation The Llama 3 Herd of Models

Reference 11

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Observation 49780fc6-ee03-4e7e-a2fe-91908697623b · outbound

This paper cites GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models

Reference 12

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verified exact
local_arxiv, observed 2026-08-15T16:24:25.525278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d520a5fe-7a48-4361-b6e7-79feac971d9a · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.088141Z digest=sha256:af9088dc7bf23f05ae1b7f3b791a169b69445d4cc81eeff27b92e5647217c031

Observation 6c861bd4-d5dd-44c4-8526-d9fa957d6841 · outbound

This paper cites and Cong, G.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Cong, G

Reference 14

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raw_fallback, observed 2026-08-15T16:24:25.983187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.092798Z digest=sha256:4f6128dcb2df99eddc280efc232ef82c39c6f801ee9e80e508566e3df264098f

Observation f27e7f67-564c-49b7-9fc5-c78dedb409ee · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 15

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no resolver link, observed 2026-08-15T16:24:25.097097Z

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Unavailable: canonical work link unavailable.

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Observation 39dd5282-420d-4015-ad21-062f0dff62b7 · outbound

This paper cites and Bhaduri, B.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Bhaduri, B

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.101485Z digest=sha256:81e262b144d8b5a8b94f821cfd5bb6f1b80f86570b1d1097461e08c56d257ea0

Observation 4aa99e02-6ceb-4641-b977-afcc18c7024b · outbound

This paper cites and Cai, L.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Cai, L

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5f177be7-4555-445f-8c2c-9ba2641fa8af · outbound

This paper cites and Janowicz, K.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Janowicz, K

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0f9f0814-fc2b-4bc4-a825-5b7711baddf7 · outbound

This paper cites and Yang, C.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Yang, C

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3b39b69b-0dfa-449e-8338-5b2a63d745f7 · outbound

This paper cites and Kochedykov, D.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Kochedykov, D

Reference 20

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3115a3c7-d5ba-45c4-94da-db5ccee2c86b · outbound

This paper cites u ttler, H., Lewis, M., Yih, W.-t., Rockt \.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation u ttler, H., Lewis, M., Yih, W.-t., Rockt \

Reference 21

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raw_fallback, observed 2026-08-15T16:24:25.927791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 581e130c-6932-4c23-bbef-8ffbaeb28de6 · outbound

This paper cites GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark

Reference 22

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source=arxiv_source observed=2026-08-15T16:24:25.127102Z digest=sha256:38f89fefaad3623f6ed0a3587f773079371164c791e1cb930464f7c8542fb4fa

Observation e8ada500-fed7-4750-89a9-ecdfce005988 · outbound

This paper cites and Ning, H.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Ning, H

Reference 23

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raw_fallback, observed 2026-08-15T16:24:25.913718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.131494Z digest=sha256:678b419a5aee1ac7273697571cf27ee04438fa3dea047e9cc0aac46e251e6671

Observation 466a756b-8de8-4996-8153-36a3f64a161c · outbound

This paper cites GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS

Reference 24

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source=arxiv_source observed=2026-08-15T16:24:25.135717Z digest=sha256:5e0c016edd9d5749e9eb3f4e91cf995bc391bbfddd49bced72eac196f4d291a3

Observation 340a08c3-103d-42e3-b1bf-6918a8a6c21e · outbound

This paper cites an unresolved cited work.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 74c1ce00-20db-4da2-92b3-cc1d5e80d642 · outbound

This paper cites and Lessani, M.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Lessani, M

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 61d67dd3-d978-4706-a13d-5ea9aadd4cc6 · outbound

This paper cites M., Yamaguchi, Y.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation M., Yamaguchi, Y

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T16:24:25.872696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 62517da9-f540-4e38-a398-24dee242cd4a · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 28

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no resolver link, observed 2026-08-15T16:24:25.153370Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.153370Z digest=sha256:a1b7c309a27c2df2bd38cb549f789f94bf0f1070d5a3746299478f9affa7178c

Observation d6c7bafc-d4de-45e5-ac90-3342460faebd · outbound

This paper cites Rethinking Interpretability in the Era of Large Language Models.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation Rethinking Interpretability in the Era of Large Language Models

Reference 29

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no resolver link, observed 2026-08-15T16:24:25.158058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.158058Z digest=sha256:ef70830474948f6898dc57dc5a6b5076b80d9317575534ddb688b7145a9c6c86

Observation b2b81551-3716-40e9-ac22-14047d0bdcaf · outbound

This paper cites (2015) ArcPy and ArcGIS--Geospatial Analysis with Python.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation (2015) ArcPy and ArcGIS--Geospatial Analysis with Python

Reference 30

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raw_fallback, observed 2026-08-15T16:24:25.858203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.162530Z digest=sha256:0726a178f9cfad0e3d7c0009e45d9fb5ed5a61718586f81b3d16dcb274549583

Observation b4d0be2b-76d6-43c6-b1ea-77f97a7eb6ac · outbound

This paper cites and Ye, X.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Ye, X

Reference 31

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raw_fallback, observed 2026-08-15T16:24:25.844415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.166676Z digest=sha256:5e8eb2b19bf40854d2b181f53f349c3fb4d095e91f8b21f15ec4e4d9728801bb

Observation 71b902ff-0e5c-4ad1-a7b1-add1b7dbcd39 · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.170906Z digest=sha256:ef09a7e470720b989f0715a2ef9f6df665584ff99d221429fc44808625c65849

Observation 658894a0-a3b2-4a58-8ce3-c84ed9b5fec1 · outbound

This paper cites and Claramunt, C.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Claramunt, C

Reference 33

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raw_fallback, observed 2026-08-15T16:24:25.830804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.175358Z digest=sha256:195fb64d1ad95740d2ee77a84538a7830f3af13fe05bff32c5c6aca34e75b91d

Observation faa57c63-a225-4cf6-9673-a0bede6d3915 · outbound

This paper cites and Yu, W.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Yu, W

Reference 34

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raw_fallback, observed 2026-08-15T16:24:25.817537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.179386Z digest=sha256:5bb17c2b673923b85cae64f175cba3abe1a31a38572b5d76e2c8836d0e924200

Observation 98571fbc-8501-4d51-a497-d1cbf679c7af · outbound

This paper cites V., Zhou, D.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation V., Zhou, D

Reference 35

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raw_fallback, observed 2026-08-15T16:24:25.804080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.183548Z digest=sha256:048a48459c09d31d43f02d4d0168dbd0659760fe7e2fb3b6db62e5d3512b4a3a

Observation 7858157d-5e60-42de-8741-cf9b705a3bd2 · outbound

This paper cites and Zhang, Z.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Zhang, Z

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:24:25.790374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.187824Z digest=sha256:dd4265e3f48baefd97cf8dc0c469bf413a5c789ae015b57cad6fb9c3a2bf453f

Observation f2208ad8-e580-4456-b4e2-799855daf255 · outbound

This paper cites and Du, Z.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Du, Z

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:24:25.776247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.192178Z digest=sha256:016db0737bfd3c42f713bbc861c12ff4fce224748adf4e34a6c0ea1bccaa3d60

Observation 0edf9a7f-6255-4b22-a62c-34c6c35e75cf · outbound

This paper cites Qwen2.5 Technical Report.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation Qwen2.5 Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T16:24:25.196413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.196413Z digest=sha256:e2405b6943561f03fe6e1f7771d5fc864d4daef37815d753f7a71fa5f68e8de8

Observation 2ca87731-5bab-45e2-b680-31dc4810f7e2 · outbound

This paper cites an unresolved cited work.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:24:25.760281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.200855Z digest=sha256:212c6428de3f74b8ce36b5afb9b0b84ee81d9afdfedd04a54adcb66788fe898a

Observation 9de99103-22d3-4955-a01d-5975d54b87b5 · outbound

This paper cites and Gao, S.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Gao, S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:24:25.744786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.205119Z digest=sha256:a9729f04f7c7daa39dca2111dd8863b49c401500046a5f43ad6b0ea7908fe7bc

Observation 019ada54-a230-47aa-a383-fa9410e7ec89 · outbound

This paper cites and Yu, W.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Yu, W

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:24:25.730378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.209301Z digest=sha256:42c453fdea82d8338d91b690944458b0b85c8ebc9ba238010be65bf1cedce879

Observation 28d24fbf-62d3-4a3f-9aaf-6cbd257779bb · outbound

This paper cites and Yu, W.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Yu, W

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:24:25.715986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.213469Z digest=sha256:455691f8ed3924b65ed911ca0db1c93d17dee44138217481cec2608354f893ea

Observation 6e1f08c5-4b63-4d43-af13-fa815ad759f3 · outbound

This paper cites and Yu, W.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation and Yu, W

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:24:25.701895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.217415Z digest=sha256:6bf62d5f4d0d90aaccfecf9d701b3a5810d88f98b0756d8d6abd7eb7459b275e

Observation 1270f3c4-172a-40f9-b1ad-c15f84009935 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation , " * write output.state after.block = add.period write newline

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T16:24:25.221712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.221712Z digest=sha256:4eb29bfdfbc6f63ec3c27debe5fe6860ef708aa0327b339c509f768a1963e36c

Observation 90d24d8b-9843-413f-80bf-772fb3e945de · outbound

This paper cites write newline.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation write newline

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T16:24:25.226049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.226049Z digest=sha256:3ff5990cca4c28baa901284e0fa12b2718521f84e91b2ad980948e4ce82104e1

Observation cb2fd7a7-2447-44a5-8990-e9aaeb524e1f · outbound

This paper cites write newline.

GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation write newline

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T16:24:25.230904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.230904Z digest=sha256:460831f9e3d6a7f81c0f79aa20ccf5c033f261e69f439c79b721168083a6fc15

Pith citing papers

No inbound Pith citation observations are available.