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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 23 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 2026-08-23T06:30:58.430688+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

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  • 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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.031174Z digest=sha256:fb76615345a941ee651bdbc479b4c6bd617747102efa14eeadaf1f141597183e

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

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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=sha256:76bc1c9fb18b75d659e4ac51b5bbe42ac4cccd23d4cc5eed8fe03367ae7204cc

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

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source=arxiv_source observed=2026-08-15T16:24:25.050333Z digest=sha256:87eb58d7eee40ea5340d1ca71a869fd188e68b29b3aa83d5075b0a9f8aea8a0c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.055333Z digest=sha256:9358d2f713f094dd994e65654b7ebdb1a7fb58a69301190fc337f7286fa536e4

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

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source=arxiv_source observed=2026-08-15T16:24:25.060741Z digest=sha256:59671173781bfb0dcdaf1d7dd043ef306334d52b2a31bb3c16aff244d8bf98ba

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

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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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verified fuzzy
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T16:24:25.074218Z digest=sha256:4cdea38525ef7edd76f297e26ab7f5419b66b7d3b97ab17131a5f84a094899b1

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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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source=arxiv_source observed=2026-08-15T16:24:25.088141Z digest=sha256:45f8991c7c586609c7e7de212b799c93f595d91e85e4960b1720495dec09c735

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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verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.092798Z digest=sha256:8491cb1538b401a6974fd6716179237bb25a47d9cedbf057f5abb17cb799dc39

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.

source=arxiv_source observed=2026-08-15T16:24:25.097097Z digest=sha256:39e3e6b72ae11e7f11dd58cac02d7404ce8bcd2f66d08bd1b12020d15c15860c

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.

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.105787Z digest=sha256:2f38d9148f9e42f8ca42a746b98d0a19873eae367a73cfb236732b4bd9630f27

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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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 2026-08-23T06:30:58.430688+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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=sha256:8c0ca0297d11cac3b5afa5dabd036faa7da16a14f349255759f3bb015e2cc91a

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.131494Z digest=sha256:204fa3cfa4656a1586834d7f66b1981138862ec700aae65506f3f7e690f37f5e

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=sha256:99e6c3ab843904606d2b0960604a0d9df5142854976b8b9672ed7bb51b773590

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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source=arxiv_source observed=2026-08-15T16:24:25.140044Z digest=sha256:30e2f78229fcc27dc663c93879c67ae48e25bf07397293936d3c354307945dc9

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

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.148544Z digest=sha256:268da414afcf9f3c3d558dd0552091e1b481345bffc6b514aa527768ca758f72

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:24:25.153370Z digest=sha256:7fdb9cdc279c193224266487c18a6edbd17ccbcbf08c76fa7768dfd572135fbd

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:d87c62ba121a6abe07b6320862634672776e30ac7bcc4cd552c55ba63f54c7c0

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.162530Z digest=sha256:86e168f1a961a34c6684b907254199f862acba35e0e9e8de58b73f7e1d370fd5

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.166676Z digest=sha256:b4ef852ecf499dcfa85cb65e5dda347d03227a34a53af5b3d2bb79ba92f0fe15

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=sha256:2714883aa164099a28a0619eaa34fb70545257437e17c5848fd2febfa646bb34

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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verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.175358Z digest=sha256:caccd75f81184ca6b256a28ad786e32f8a24f96a82c0bac35d4d65e6dc47cb54

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.179386Z digest=sha256:56940c0b9232d61a9675dd459b5dfde9a833a2773162906b75e2c65eb039b13f

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.183548Z digest=sha256:e9e80b7bb1e894bf44e71a4286e2bdb461faddf5f039533124b8a26372ec4b90

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.187824Z digest=sha256:db8bf2f305f6f42ec8a48eb50ec40710e3f5e4ef9c8e864bb2418e19d7308ba5

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.192178Z digest=sha256:d63aea03650539612993a21e18f9115b37088a0132d41de56eb66e6e68fb8c48

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=sha256:3e5164abf7021c4bda7407255b0f0a1fdf08519c1d8b1ba9d09961cfc553eccf

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.200855Z digest=sha256:bde0b2fd0ab83aafa41c1bba2274300f8382c80195dddcca83569f8833ffe018

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.205119Z digest=sha256:61064a550ce0dd103b5755bc479cc3109ed15c6397168d58bedb61b434670a15

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.209301Z digest=sha256:02d9def35dc72bbe1a996ab3cd811bc47df2b14ea7b1066eb891e64dea6d7885

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.213469Z digest=sha256:f0199006fbe9a5276e3cea87567153e3e4b943df1d2110afb36c444d674daa9b

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:24:25.217415Z digest=sha256:bd702262158c6da3ad344049379cf60f8188c9abe2beb29543efaa1b564f3605

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=sha256:3563f6afe324992a25313d5c52900e65521faf50499490c572966a0fab1f3f3b

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=sha256:24c490c665630c4b03b118bb9b2ece54d2079eca96c4448a50dca8f6ab488c8a

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=sha256:6f257b1e59daf4d3dd8925dc41610ae3b095ef1f467490b53007ffb07f92be9c

Pith citing papers

No inbound Pith citation observations are available.