{"as_of":"2026-08-19T01:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:97a17a5d861a063185c93bf4357fab1cf04739fe79efb3ff99e84ba133d77e65","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:30:40.889997Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.12900/citation-record","integrity":"/paper/2505.12900/integrity","json":"/paper/2505.12900/citation-record.json","paper":"/paper/2505.12900"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.860010Z","title":"Competition-level code generation with alphacode","venue":null,"work_id":"15b8a149-7e41-4a39-b626-df8480d2d8c5","year":2022},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.616340Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:8e0ca70b6827ec7632990ad99dda867c478050bc37ef148ca78bdf5650089075","observation_id":"e7ee7fcc-0bf4-4b52-b584-633d9ecefc45","resolution":{"observed_at":"2026-08-15T20:30:41.864588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.846300Z","title":"Learning to code or coding to learn? A systematic review","venue":null,"work_id":"915ea8b8-ccaa-4ebf-9616-6ce12c5a2b2e","year":2019},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.621662Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:79bb6b04708b520ad63a1b7339df5f0396a4622a318ccc0488df96c0eee26caf","observation_id":"21d9e228-935a-4929-be56-aca49e2afad2","resolution":{"observed_at":"2026-08-15T20:30:41.850811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.832160Z","title":"An overview of transaction logic","venue":null,"work_id":"43c97072-7311-4698-92ae-fbc8128031a1","year":1994},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.626350Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:73eb534466ac3780431f5b51b3c4f24f025f13991282709a4abf3c9505801e1d","observation_id":"6852871f-bc18-4dbb-8951-7c3d2456b344","resolution":{"observed_at":"2026-08-15T20:30:41.836297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00515","last_updated":"2024-11-10T22:02:27Z","snapshot_observed_at":"2026-08-14T16:40:35.729198Z","submitted_at":"2024-06-01T17:48:15Z","title":"A Survey on Large Language Models for Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00515","snapshot_observed_at":"2026-08-15T20:30:40.630713Z","title":"A survey on large language models for code generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.630713Z"},"links":{"cited_paper":"/paper/2406.00515","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:860010565ceb34f0bb697b3eece621f4dc7878798cf2bc29a8228c6f3217905f","observation_id":"2f961f4b-8ea2-4143-b955-cae05701e849","resolution":{"observed_at":"2026-08-15T20:30:40.630713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.818275Z","title":"A review on code generation with llms: Application and evaluation","venue":null,"work_id":"2e122950-a463-4ee2-b711-9e12c1a41558","year":2023},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.635846Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:cecb820e34780fd36fa1149e75f3c7baa655c4be608f78418c2aabaee27f50dc","observation_id":"c9776c2c-0f01-4b27-876a-7eced72adde7","resolution":{"observed_at":"2026-08-15T20:30:41.822860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14196","last_updated":"2024-01-26T09:23:11Z","snapshot_observed_at":"2026-08-06T22:40:28.707813Z","submitted_at":"2024-01-25T14:17:53Z","title":"DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14196","snapshot_observed_at":"2026-08-15T20:30:40.641331Z","title":"DeepSeek-Coder: When the Large Language Model Meets Programming --The Rise of Code Intelligence","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.641331Z"},"links":{"cited_paper":"/paper/2401.14196","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:438d755e8c20e26a37dc295b08e3222d14c1cb42180caffb8616ff81e4a74387","observation_id":"1b94541c-aceb-41b9-8396-f980da2581ba","resolution":{"observed_at":"2026-08-15T20:30:40.641331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12186","snapshot_observed_at":"2026-08-15T20:30:40.646718Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.646718Z"},"links":{"cited_paper":"/paper/2409.12186","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:ca3a126402da9fa728dca0a8fd55914fc9568bc0aafedfceee787502a32d9226","observation_id":"badf4976-6236-4b50-993e-7ec00ea9bc87","resolution":{"observed_at":"2026-08-15T20:30:40.646718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-08-18T03:59:39.242039Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-15T20:30:40.651295Z","title":"Code llama: Open foundation models for code","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.651295Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:0be6a003ffb7e018f71998e895fc2525abc3d1b73fdbe571dd7ddd2daeba7755","observation_id":"4e67a9d3-63c2-4544-8d89-0613fb39d9a8","resolution":{"observed_at":"2026-08-15T20:30:40.651295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04831","last_updated":"2024-08-08T01:01:47Z","snapshot_observed_at":"2026-08-16T13:36:40.098291Z","submitted_at":"2024-07-05T19:37:37Z","title":"Code Hallucination","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04831","snapshot_observed_at":"2026-08-15T20:30:40.656107Z","title":"Code Hallucination","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.656107Z"},"links":{"cited_paper":"/paper/2407.04831","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:589971e4515acd2ab443bd34121829bc976d5f5325b37a9796ce7bb3b94b4803","observation_id":"350c8796-3c60-4851-aaac-59f96e403240","resolution":{"observed_at":"2026-08-15T20:30:40.656107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14852","last_updated":"2024-02-20T04:17:21Z","snapshot_observed_at":"2026-08-17T20:50:41.419279Z","submitted_at":"2024-02-20T04:17:21Z","title":"HumanEval on Latest GPT Models -- 2024","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14852","snapshot_observed_at":"2026-08-15T20:30:40.660730Z","title":"HumanEval on Latest GPT Models--2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.660730Z"},"links":{"cited_paper":"/paper/2402.14852","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:dae972b2be0ac8aeb7946101d514c5e05b6ccfff45d3611c51d86a68388f90db","observation_id":"a30f781a-52e3-4d7f-b84a-9143902622f5","resolution":{"observed_at":"2026-08-15T20:30:40.660730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21199","last_updated":"2024-12-31T08:20:42Z","snapshot_observed_at":"2026-08-12T23:35:38.017550Z","submitted_at":"2024-12-30T18:58:58Z","title":"HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21199","snapshot_observed_at":"2026-08-15T20:30:40.665486Z","title":"HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.665486Z"},"links":{"cited_paper":"/paper/2412.21199","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:630ddc57415ff3aaaeb9bab50e4c23261552232ca78ed061152a65c20e4cfab3","observation_id":"a955b216-27c0-4ebc-9550-e3066daeeb7d","resolution":{"observed_at":"2026-08-15T20:30:40.665486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07974","last_updated":"2024-06-06T17:41:21Z","snapshot_observed_at":"2026-08-16T07:05:57.323612Z","submitted_at":"2024-03-12T17:58:04Z","title":"LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07974","snapshot_observed_at":"2026-08-15T20:30:40.670135Z","title":"-D.; Yan, F.; Zhang, T.; Wang, S.; Solar -Lezama, A.; Sen, K.; Stoica, I","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.670135Z"},"links":{"cited_paper":"/paper/2403.07974","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:7758941836122f8a3e3e4bbf2ee2b2ec087fb4812aeca887a537afde26b9f0e9","observation_id":"1e02ed5a-cbfa-4f32-9bbc-59306137a60a","resolution":{"observed_at":"2026-08-15T20:30:40.670135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.804286Z","title":"Bioconductor: open software development for computational biology and bioinformatics","venue":null,"work_id":"125afb1c-a50e-453d-9888-44a13dd0fc49","year":2004},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.674732Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:dfba01e6955cb21d4bc0d1742834fb53b5412b1a7a8bef7e3a56be6c275b9f28","observation_id":"3d369a85-4f77-4f3b-b235-d008f258d5ba","resolution":{"observed_at":"2026-08-15T20:30:41.809271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.789537Z","title":"Computational finance using QuantLib-Python","venue":null,"work_id":"9f1bcc45-8394-44dd-91f3-d4ab4eb0c0d7","year":2016},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.679088Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:cbe32e1c271916e7698bbfe7a6f86bdfcdf853d0099f6362496111e925b0ebcd","observation_id":"63c47c98-d990-4036-b02d-8f74916862a2","resolution":{"observed_at":"2026-08-15T20:30:41.794588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.775408Z","title":"Orchestrating high-throughput genomic analysis with Bioconductor","venue":null,"work_id":"0781164e-da61-4746-a0a9-4db7173a20ad","year":2015},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.683424Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:b6ec9a488c1526d0fb64dc3353faa2601b53bca0ddc60f51bc30ef2e352cf094","observation_id":"1a58849a-4836-4596-a5ac-03b4c5999d49","resolution":{"observed_at":"2026-08-15T20:30:41.779759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.761403Z","title":"Orchestrating single -cell analysis with Biocon ductor","venue":null,"work_id":"efb4d792-617e-4a02-b4e5-7bc956a2af3e","year":2020},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.687869Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:1746a30ef997c45f7809f027e21432e35076ee01dd72a6d4f40b889bbc408cb6","observation_id":"65048d9d-e354-412a-976c-3e6b4081afab","resolution":{"observed_at":"2026-08-15T20:30:41.766079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.746687Z","title":"Domain -specific language techniques for visual computing: a comprehensive study","venue":null,"work_id":"cf778c53-0c99-4cf0-b25a-c136cfc39b9f","year":2021},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.692386Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:02207000ae31b78d5a1e770bcf3063ba521d0806370c884717402e6b9eb8084f","observation_id":"3ac7ec3e-5f14-4e0c-88b1-426507c64c11","resolution":{"observed_at":"2026-08-15T20:30:41.751741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.730407Z","title":"On the effectiveness of large language models in domain -specific code generation","venue":null,"work_id":"a73bc59a-3e86-402d-9969-317a1b733f9d","year":2025},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.696748Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:017c56b3f6666ced57825b1155df490eeaf761047b584d1f4977f106df1a7fd1","observation_id":"02ff78b6-0b84-4580-82f6-ee401bb72694","resolution":{"observed_at":"2026-08-15T20:30:41.736428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.714834Z","title":"Extracting land cover data using GEE: A review of the classification indices","venue":null,"work_id":"16f70847-c990-4553-bbc0-9cc5a5496303","year":2020},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.701340Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:73f59077c4e22cbf1cd6a29c541d2787b7da698d041a677509893c542df09cfe","observation_id":"a2789195-58e8-4ed7-88d4-c4933ffc4585","resolution":{"observed_at":"2026-08-15T20:30:41.719779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.698961Z","title":"Google Earth Engine for geo-big data ap plications: A meta-analysis and systematic review","venue":null,"work_id":"96a2648b-3a48-4668-8ee9-4bd104b6271f","year":2020},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.705572Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:79801cbd8b9d94a99ee2c8c7033812fb0efd8153e4f7aa197718d2b059d01949","observation_id":"7e0afb1b-39ba-4f65-baa1-8cb1711b5ecc","resolution":{"observed_at":"2026-08-15T20:30:41.704126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.683534Z","title":"Tangible User Interfaces (TUIs): a novel paradigm for GIS","venue":null,"work_id":"9256c5a6-ebce-423b-81c8-73e518b88a4f","year":2004},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.709684Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:66b3b08db5c7911abd54eb5347fd9dc8219030e088049d20406412dabaebc165","observation_id":"a2f1bae3-73b8-48ad-b934-ef095f12ac1c","resolution":{"observed_at":"2026-08-15T20:30:41.689155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.668396Z","title":"Progress and trends in the application of Google Earth and Google Earth Engine","venue":null,"work_id":"3c58795d-d655-4418-b267-80960908b1a0","year":2021},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.713922Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:430f45f4aca65c0b8aea42cf20530c09ee145d0944aa3de1dd20832f8ac6b781","observation_id":"0428972e-ca7b-4a0c-b0e7-b48404561dc5","resolution":{"observed_at":"2026-08-15T20:30:41.672867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.653700Z","title":"Google earth engine applications","venue":null,"work_id":"af65806d-d778-4d5b-9f5e-350548d684d7","year":2019},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.718198Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:537023b7e4df8bd878817e71269d1651cf4574d42923ccc7a4746184b84d9160","observation_id":"14eb8167-81ca-4baa-9e77-65c217b34544","resolution":{"observed_at":"2026-08-15T20:30:41.658154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.638796Z","title":"GeoCode -GPT: A large language model for geospatial code generation","venue":null,"work_id":"4403ee3a-bd78-4613-8780-fdd3c34d4b93","year":2025},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.722558Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:167f1eeb8f95724db41b44fcdb275344e0f1c6e651c0eeec7e83590f4f5f7326","observation_id":"7768828e-a057-4b84-bca1-ad5441b252bd","resolution":{"observed_at":"2026-08-15T20:30:41.643419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05587","last_updated":"2024-12-11T13:56:40Z","snapshot_observed_at":"2026-08-18T11:23:35.206698Z","submitted_at":"2024-12-07T08:50:24Z","title":"GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05587","snapshot_observed_at":"2026-08-15T20:30:40.726787Z","title":"GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.726787Z"},"links":{"cited_paper":"/paper/2412.05587","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:4187c8696fd3c1a174f3a40f5d1b78bb91df01379fbcd96cb58a092837df72c7","observation_id":"c334f4f9-f099-4c32-a340-07cf845a81f8","resolution":{"observed_at":"2026-08-15T20:30:40.726787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.623900Z","title":"Google Earth Engine and artificial intelligence (AI): a comprehensive review","venue":null,"work_id":"a04a7d3a-a337-4205-b04a-2fc51913ebcd","year":2022},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.731438Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:f3e6d9f460e156d3456ffc27daf07d8a5b4b4c207e6e5efa0e1ae821f6463872","observation_id":"b208ee0f-f4bd-49da-8da8-b83225406248","resolution":{"observed_at":"2026-08-15T20:30:41.628656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09738","last_updated":"2024-10-18T02:49:24Z","snapshot_observed_at":"2026-08-17T11:43:22.115908Z","submitted_at":"2024-10-13T06:14:27Z","title":"Can Large Language Models Generate Geospatial Code?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.09738","snapshot_observed_at":"2026-08-15T20:30:40.736179Z","title":"Can large language models generate geospatial code? arXiv preprint arXiv:2410.09738 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.736179Z"},"links":{"cited_paper":"/paper/2410.09738","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:7cc375c61f881a467df58b3805b21db7c3eabd0e46e79ad3ae81ed47b3717852","observation_id":"b2714ddd-7a31-4371-ad4b-5055f2c7e1bf","resolution":{"observed_at":"2026-08-15T20:30:40.736179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04617","last_updated":"2024-12-13T08:05:53Z","snapshot_observed_at":"2026-08-16T13:12:06.916535Z","submitted_at":"2024-10-06T20:34:03Z","title":"Evaluation of Code LLMs on Geospatial Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04617","snapshot_observed_at":"2026-08-15T20:30:40.740844Z","title":"Evaluation of Code LLMs on Geospatial Code Generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.740844Z"},"links":{"cited_paper":"/paper/2410.04617","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:26d760d9025b16bf6e308ffcc088250bc867df4a8acf10cf94df1a5f5dc4f011","observation_id":"2fa74368-fbb9-4b77-adbf-d7efce202b6d","resolution":{"observed_at":"2026-08-15T20:30:40.740844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10753","last_updated":"2024-11-16T09:20:35Z","snapshot_observed_at":"2026-08-14T17:17:04.715793Z","submitted_at":"2024-11-16T09:20:35Z","title":"Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation","version":1},"cited_work":{"arxiv_id":"2411.10753","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.10753","snapshot_observed_at":"2026-08-15T20:30:41.085809Z","title":"Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation","venue":"cs.SE","work_id":"94c25d97-8f9b-4b1b-8d74-5f26a8c1ce2f","year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.745410Z"},"links":{"cited_paper":"/paper/2411.10753","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:9fd633daa051bd1d3572ea41c169e87ac4a2193823dfa610e22819b63375b1f7","observation_id":"af685d55-7a46-43aa-a40d-67c73d043519","resolution":{"observed_at":"2026-08-15T20:30:41.091244Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17031","last_updated":"2024-10-23T13:52:51Z","snapshot_observed_at":"2026-08-16T21:15:20.368877Z","submitted_at":"2024-10-22T13:57:55Z","title":"GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17031","snapshot_observed_at":"2026-08-15T20:30:40.750050Z","title":"GeoCode -GPT: A Large Language Model for Geospatial Code Generation Tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.750050Z"},"links":{"cited_paper":"/paper/2410.17031","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:0189c3ea3750e08833acdee17c87c3a045f60b2529a71c96622d2546294f94cc","observation_id":"6cce0983-7a4a-4ba9-b02b-441293708bc1","resolution":{"observed_at":"2026-08-15T20:30:40.750050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20975","last_updated":"2024-10-28T12:50:27Z","snapshot_observed_at":"2026-08-17T20:50:33.334731Z","submitted_at":"2024-10-28T12:50:27Z","title":"Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models","version":1},"cited_work":{"arxiv_id":"2410.20975","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.20975","snapshot_observed_at":"2026-08-15T20:30:41.047112Z","title":"Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models","venue":"cs.SE","work_id":"bbd9e448-7c31-402c-b909-60e9d3278725","year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.754431Z"},"links":{"cited_paper":"/paper/2410.20975","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:d18ebdf0eb14b42bd52695c8e165f6ddfecd2e7fd9ece7e2a32fd077c817ff04","observation_id":"7264976f-0340-404d-9f37-278760822d85","resolution":{"observed_at":"2026-08-15T20:30:41.052786Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.608742Z","title":"Big Data and cloud computing: innovation opportunit ies and challenges","venue":null,"work_id":"f26cad98-2161-4ec4-85e4-98458834401f","year":2017},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.758770Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:79d4be19aa264f66a5d0ba771a90d2a8149c05046ccd3da9dbe35f2ac0aa416a","observation_id":"37a6489f-6d2c-4195-9f83-ac34497c4dd2","resolution":{"observed_at":"2026-08-15T20:30:41.613399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.592969Z","title":"Evaluating large language models on geospatial tasks: a multiple geospatial task benchmarking study","venue":null,"work_id":"172e7a36-8d49-41fe-9dbd-bcc4f631aba4","year":2025},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.763159Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:b2a73fc7c85a4dc6baa9325140aa368481d3488ac630070b46376a6e371b2cf2","observation_id":"c3b57e27-9b80-4e78-b064-71028a6101ce","resolution":{"observed_at":"2026-08-15T20:30:41.598051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.577588Z","title":"GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond","venue":null,"work_id":"bc0c8455-1bdd-41e1-af6d-9a892bf16304","year":2020},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.767218Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:9b93a2a11bec72a30442559529308caa756eba7a935dae1a1d083340623282c3","observation_id":"c9600029-52ef-4c62-b195-503a9c12162d","resolution":{"observed_at":"2026-08-15T20:30:41.582431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.560944Z","title":"An overview of the Canada geographic information system (CGIS); Lands Directorate Environment Canada Ottawa, ON, Canada: 1980","venue":null,"work_id":"9f846986-cbf2-416c-841d-01492f93a208","year":1980},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.772025Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:2622fa7f974b41d8d6f06d2677c3984245c05fc87f63ae1a6f749d719a980a50","observation_id":"83a3783b-cb2c-479c-bd19-41cf37648127","resolution":{"observed_at":"2026-08-15T20:30:41.566812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.545053Z","title":"GRASS GIS: A multi -purpose open source GIS","venue":null,"work_id":"477fae61-f705-4d10-8b33-8f2291b36908","year":2012},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.777215Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:170ae91bbe8d69cb516d9f5ecb5d0c671eb127b5eca9011b87958038dc3c1eaa","observation_id":"f812d080-7aea-4815-9b42-a6bc77c34633","resolution":{"observed_at":"2026-08-15T20:30:41.549749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.530164Z","title":"GISc ript: Towards an interoperable geospatial scripting language for GIS programming","venue":null,"work_id":"cb4c3d17-6325-4cc2-a576-3c42ba016711","year":2014},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.781769Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:ac3e1d677014cd6b7c5da81a7c8b9ca9d3c74279b71ded2cc7a12cffb8dd008e","observation_id":"ad83cc4c-d473-4fae-9b09-626f3da00803","resolution":{"observed_at":"2026-08-15T20:30:41.534877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.514312Z","title":"Open geospatial software and data: A review of the current state and a perspective into the future","venue":null,"work_id":"b6ae1fce-9672-47dd-a93f-d2aabc95f496","year":2020},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.786104Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:c6d05795f1930feda6627dc2b2839f2104574256142813fe024e571797c7faf8","observation_id":"da9bae2c-affe-4256-bc72-7c501dee528e","resolution":{"observed_at":"2026-08-15T20:30:41.520120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.498903Z","title":"Code-literacy for GIS librarians: A discussion of languages, use cases, and competencies","venue":null,"work_id":"143d2d47-ca01-4d3d-825d-824cee066b30","year":2019},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.791272Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:31732a31858c1ed23daa54618adb995aecdce8b19b46361891c5161f20bcce40","observation_id":"868b8e1f-5db2-4349-93ae-aab508fa23b7","resolution":{"observed_at":"2026-08-15T20:30:41.503766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.484320Z","title":"Show me the code: spatial analysis and open source","venue":null,"work_id":"40d5f4d6-1f39-4816-8252-945669f1ffb0","year":2009},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.795596Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:4573664e06fe5ab7a4eadd65773bf8b0ee1fb6ac4ac7a058153920c7a90e82e6","observation_id":"6b3fea3d-dcb9-421e-b464-5e4d5de6728f","resolution":{"observed_at":"2026-08-15T20:30:41.489216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.469518Z","title":"Open geospatial analytics with PySAL","venue":null,"work_id":"388ac844-774a-4cb8-8ad4-f57c1e6eec8f","year":2015},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.799902Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:f8e43873ae5cb7b332846575edde81e6fe441c90cb7792e4a44dc370ee0d95f2","observation_id":"7bad90eb-928a-418b-a6f7-4df95b169e76","resolution":{"observed_at":"2026-08-15T20:30:41.473985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.455292Z","title":"Validation of GCC optimizers through trace generation","venue":null,"work_id":"52de0c74-1fa4-4018-9ae0-abf58f4743e2","year":2009},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.804363Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:6af1d3d4458cb5f758a5910d208ef6df59294c6615d455c3b7e738c6a74b985d","observation_id":"ae9e6ae8-cd0b-40f1-a334-8508a19c6a0e","resolution":{"observed_at":"2026-08-15T20:30:41.459772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.440344Z","title":"An empirical evaluation of Lex/Yacc and ANTLR parser generation tools","venue":null,"work_id":"7da6fd28-71b6-43d6-b7a7-e331d81cff22","year":2022},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.808992Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:1614a3868a05dd4440b1d49e47c62e3a5f1c8ab8790522eccee0d237a74bc29b","observation_id":"62b26b9a-53d9-4f33-8f4f-555d69f5fab8","resolution":{"observed_at":"2026-08-15T20:30:41.445299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.426466Z","title":"Template-based model generation","venue":null,"work_id":"5bc2c80e-2b60-44e6-b687-f87620998e7f","year":2019},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.813238Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:5b332d5a8f206d4c370acc053e63b26d4ec108c961aa2d63e461f4c40081544c","observation_id":"d72efff2-7fb0-46c1-964e-9485315fab93","resolution":{"observed_at":"2026-08-15T20:30:41.430856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.410642Z","title":"Systematic mapping study of template-based code generation","venue":null,"work_id":"cfd3711f-6708-4070-a2de-10560e4f375b","year":2018},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.817517Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:01fa05364ae0997fa8a8ddde6cb6fac0f9b18fbac3cef7f86626d3b0fb942f3a","observation_id":"5fd38bfd-d110-4ad3-bcac-582639f7e169","resolution":{"observed_at":"2026-08-15T20:30:41.415824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01989","last_updated":"2017-03-08T11:50:33Z","snapshot_observed_at":"2026-08-16T15:49:25.517557Z","submitted_at":"2016-11-07T11:09:45Z","title":"DeepCoder: Learning to Write Programs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01989","snapshot_observed_at":"2026-08-15T20:30:40.821780Z","title":"Deepcoder: Learning to write programs","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.821780Z"},"links":{"cited_paper":"/paper/1611.01989","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:2d6eb8ad4992fcd254cefc8df8c3d066bf6a6774b154248fd2817ffa2fdc008e","observation_id":"06adcc47-0cf6-4012-928c-37d9bdadcda8","resolution":{"observed_at":"2026-08-15T20:30:40.821780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.00103","last_updated":"2017-11-09T23:06:14Z","snapshot_observed_at":"2026-08-16T12:20:26.377960Z","submitted_at":"2017-08-31T23:12:15Z","title":"Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.00103","snapshot_observed_at":"2026-08-15T20:30:40.826486Z","title":"Seq2sql: G enerating structured queries from natural language using reinforcement learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.826486Z"},"links":{"cited_paper":"/paper/1709.00103","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:914d50a762e59bcd32fcd4c82feb4a77451726739ec41de8b19f2c141fe50b31","observation_id":"e3078a68-1bd5-4e6a-a81a-e2034b7a5fab","resolution":{"observed_at":"2026-08-15T20:30:40.826486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.01400","last_updated":"2019-02-21T14:12:56Z","snapshot_observed_at":"2026-08-15T19:20:40.569813Z","submitted_at":"2018-08-04T01:26:07Z","title":"code2seq: Generating Sequences from Structured Representations of Code","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.01400","snapshot_observed_at":"2026-08-15T20:30:40.831337Z","title":"code2seq: Generating sequences from structured representations of code","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.831337Z"},"links":{"cited_paper":"/paper/1808.01400","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:3463d9787d1ffb7c5111c0d0ba950b3348a94c028561801d7152768607862504","observation_id":"39fa9a0b-8cd7-4ff0-9061-e8b5ff9581ef","resolution":{"observed_at":"2026-08-15T20:30:40.831337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08155","last_updated":"2020-09-18T15:38:12Z","snapshot_observed_at":"2026-08-18T00:58:22.537872Z","submitted_at":"2020-02-19T13:09:07Z","title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08155","snapshot_observed_at":"2026-08-15T20:30:40.835943Z","title":"Codebert: A pre-trained model for programming and natural languages","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.835943Z"},"links":{"cited_paper":"/paper/2002.08155","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:63e6903edc6df5d0d0608c64c08a3d0f846a322dcff11307e6595805b39c60ec","observation_id":"9d2ce6f0-6b93-448a-bc9a-786b904594ed","resolution":{"observed_at":"2026-08-15T20:30:40.835943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.394130Z","title":"Github copilot ai pair programmer: Asset or liability? Journal of Systems and Software 2023, 203, 111734","venue":null,"work_id":"d744e765-714f-4f85-85ac-48fdd405acde","year":2023},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.840494Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:723068f5284f5a64d1a23ec0415fe1be1a25d04014ca17bcfa10d15fd296c961","observation_id":"bc2a6f90-a0ad-4c1a-886a-a519ace47d26","resolution":{"observed_at":"2026-08-15T20:30:41.399543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.378016Z","title":"A GPT-enhanced framework on knowledge extraction and reuse for geographic analysis models in Google Earth Engine","venue":null,"work_id":"e645fe97-28d9-4885-a41a-c2f3de1621dd","year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.845467Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:44b4105451f3b257628302b8bd8f4e58dbda7bc6c5238235007bafb209e13b3e","observation_id":"dd2b5dc2-58e2-489f-afd3-369d41aa740a","resolution":{"observed_at":"2026-08-15T20:30:41.383239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-18T13:26:47.703602Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-08-15T20:30:40.849568Z","title":"Large language models meet nl2code: A survey","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.849568Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:af28f79e37272e575a2d59f26f10980a6a30e3ab512e09262eec65ebbee0b132","observation_id":"3ca78ac5-7dbd-47a5-b17f-fc62d1ec08b8","resolution":{"observed_at":"2026-08-15T20:30:40.849568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.361969Z","title":"MapGPT: an autonomous framework for mapping by integrating large language model and cartographic tools","venue":null,"work_id":"b4c4ec5c-1ae7-4cba-8787-b36fa1d59bfc","year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.854242Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:424b7febeaa6ee17592798cdcfafe66b63f93bedaf71e493b4f31c7c98c65ba9","observation_id":"781d9adb-3614-41f7-a0d3-7d799a477e8e","resolution":{"observed_at":"2026-08-15T20:30:41.367144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12376","last_updated":"2024-10-23T12:58:14Z","snapshot_observed_at":"2026-08-18T02:01:50.026504Z","submitted_at":"2024-10-16T08:48:27Z","title":"ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing","version":2},"cited_work":{"arxiv_id":"2410.12376","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.12376","snapshot_observed_at":"2026-08-15T20:30:40.942397Z","title":"ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing","venue":"cs.AI","work_id":"a6d0fa71-073a-4f91-badc-0b396e428c45","year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.858669Z"},"links":{"cited_paper":"/paper/2410.12376","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:69d7adb046ad1117dabb7a65ba7dc70d9c8edc0dc3d64d8de739be9982efb8e7","observation_id":"f6e899fe-214f-484e-bb04-9b9136a6006f","resolution":{"observed_at":"2026-08-15T20:30:40.949777Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.344681Z","title":"GIS Copilot: towards an autonomous GIS agent for spatial analysis","venue":null,"work_id":"d45ffc16-561b-4721-8c2f-46fadb8f9d1d","year":2025},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.863197Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:05ddd0ddcc478ea418e9aae2a8edeb7513a584217d38ad3552eababbd9ef4951","observation_id":"a9700f90-bc1c-4e63-af3b-6a778783803a","resolution":{"observed_at":"2026-08-15T20:30:41.350179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16498","last_updated":"2025-03-04T09:13:23Z","snapshot_observed_at":"2026-08-16T13:22:56.149803Z","submitted_at":"2024-08-29T12:56:06Z","title":"A Survey on Evaluating Large Language Models in Code Generation Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16498","snapshot_observed_at":"2026-08-15T20:30:40.867685Z","title":"A survey on evaluating large language models in code generation tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.867685Z"},"links":{"cited_paper":"/paper/2408.16498","citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:740f3be97358975275893ab2f96ac428ca0d0cd50533156b45e009595c56c3f4","observation_id":"249b54ec-dca9-4dff-9bd7-5ecf5b62740e","resolution":{"observed_at":"2026-08-15T20:30:40.867685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.328524Z","title":"Are static analysis violations really fixed? a closer look at realistic usage of sonarqube","venue":null,"work_id":"f0f339b5-15da-4aa7-8261-6289fe19fadd","year":2019},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.872088Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:9dfd26dbfe2c50a271d6df8ebdbeb51a7bf8362fa44ffa9b3f03e6f677de39cb","observation_id":"4a5a280d-b243-449e-b998-ebe8e640d274","resolution":{"observed_at":"2026-08-15T20:30:41.333304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.312914Z","title":"Enhancing Code Readability through Automated Consistent Formatting","venue":null,"work_id":"0ae8cf1f-dd99-4684-adc7-031ab7d5baf7","year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.876546Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:2d9a01cbb187dfbe48720067f2e7e810d8bb74040671e4f6b5ff17cb9f6317de","observation_id":"05bab65e-85ea-4640-841d-e040d1bb0d7e","resolution":{"observed_at":"2026-08-15T20:30:41.317981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.297877Z","title":"-S.; Khan, F.S","venue":null,"work_id":"b6156cd3-c4df-4ce8-ab00-cd70aa0b7f03","year":2023},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.881195Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:7f7b0b5eecb914f1de8c78b34f67f97ec6ae3c97c6e2883667624850e0e9c2db","observation_id":"92c0e680-8a62-41b8-a7b3-b4de120905dc","resolution":{"observed_at":"2026-08-15T20:30:41.302461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.282325Z","title":"Remote sensing platforms and sensors: A survey","venue":null,"work_id":"52213f67-8c78-4171-afdd-da8cea5decd1","year":2016},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.885604Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:5a6c7ded6719c19904053ec2d0a9794a56b9ecc05de6e6eb8251752650ed50ef","observation_id":"eada2746-17e5-491a-af70-9665a6b4cc6e","resolution":{"observed_at":"2026-08-15T20:30:41.287213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:30:41.266483Z","title":"Automating Geospatial Analysis Workflows Using ChatGPT-4","venue":null,"work_id":"8de3fc9e-d3e4-42df-95ed-9a7569ade2ae","year":2024},"citing_paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T20:30:40.889997Z"},"links":{"citing_paper":"/paper/2505.12900"},"observation_digest":"sha256:e08dd035efbdbe8a79692cf23e6deee5bd27aa3265ab7749fd30528d9a5c044c","observation_id":"d327d9b8-c762-43ef-a9e0-c1e35e7197e8","resolution":{"observed_at":"2026-08-15T20:30:41.271319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.12900","last_updated":"2025-05-19T09:35:58Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-18T10:43:21.270418Z","submitted_at":"2025-05-19T09:35:58Z","title":"AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":3,"verified_fuzzy":40},"total_outbound_references":61},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2505.12900."}