{"as_of":"2026-08-20T19:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a33efc5b7e935108dd4e47163b05ae3362808f29a191152df983c51e7734eb2","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:34:55.783286Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2508.10705/citation-record","integrity":"/paper/2508.10705/integrity","json":"/paper/2508.10705/citation-record.json","paper":"/paper/2508.10705"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:34:56.483374Z","title":"Heier, Grid integration of wind energy: onshore and offshore conver- sion systems","venue":null,"work_id":"f93dc4eb-2ec9-4042-a8b2-2677387016c8","year":2014},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.558806Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:e3828dd8ab702710210c8ff2cff45edb1bdcd1d859e67ee89775cf82064acec1","observation_id":"76b9e6dc-87b4-40fa-b381-389f7e63d02c","resolution":{"observed_at":"2026-08-15T17:34:56.490357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.457835Z","title":"A bayesian deep learning-based wind power prediction model considering the whole process of blade icing and de-icing,","venue":null,"work_id":"2ad29069-8dfe-445d-abbc-e2ffd74257b6","year":2024},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.566919Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:b359ec3ce408b47e86c8f00bae7d1889c586eb92b80a9fe729b631f8b46f2ec3","observation_id":"3e6b26bf-73fa-497c-9c48-2687e3ec0906","resolution":{"observed_at":"2026-08-15T17:34:56.465315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.424582Z","title":"Dispatch strategy for the power system with large offshore wind power integration under a typhoon: A two-stage sample robust optimization approach,","venue":null,"work_id":"95e8960c-3207-4829-a91f-c997c9c93b87","year":2025},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.574597Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:52258ac0e5768f1ebb065329115b30128098c8327f83115ee5e41c13b464c71e","observation_id":"20dfde56-3057-4f49-87cf-3b67ce67009a","resolution":{"observed_at":"2026-08-15T17:34:56.437884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.400074Z","title":"Spatio- temporal graph neural network and pattern prediction based ultra-short- term power forecasting of wind farm cluster,","venue":null,"work_id":"b055a386-7cba-4710-82a0-dbfd06ed159e","year":2023},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.586511Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:3fce63b52f0c5627bfee23eb6b773b432be8ea08f563763aa037818d0197c222","observation_id":"ea3a90bd-6ebd-417d-94e4-c1dc789a22f0","resolution":{"observed_at":"2026-08-15T17:34:56.408246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.379799Z","title":"A data- driven methodology for probabilistic wind power ramp forecasting,","venue":null,"work_id":"236eca52-f2d4-4a5f-9ba9-998ab4a45056","year":2017},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.595613Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:c49595828344106dfa8d9b4d7208b88a982c2d1aec838b242916faf46e749aa6","observation_id":"7e61b32e-e1e4-415c-9c52-62cde119068c","resolution":{"observed_at":"2026-08-15T17:34:56.386199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.360969Z","title":"Probabilistic wind power forecasting using optimized deep auto-regressive recurrent neural networks,","venue":null,"work_id":"d0371cd9-6cd8-4c6f-8765-895505e11753","year":2022},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.601886Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:64ceb12264eb009b8da52ab8c6a6af7da5437346d7b7becae3540b2d4cdf3a89","observation_id":"c9776270-fca3-41bf-b8b5-7b1d88f47fa4","resolution":{"observed_at":"2026-08-15T17:34:56.366946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.341515Z","title":"Forecasted scenarios of regional wind farms based on regular vine copulas,","venue":null,"work_id":"a9de928c-fcf6-49ab-9ed9-edd64234e92a","year":2019},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.610734Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:2c1a0f383c29b8a5dd6cfaca55451669190367d76cec7ad8e3784c9a37d131d3","observation_id":"1e1fe8e9-52b6-4062-81ef-1c1156da9507","resolution":{"observed_at":"2026-08-15T17:34:56.347534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.319778Z","title":"Spatial-temporal wind power probabilistic forecasting based on time-aware graph convolutional network,","venue":null,"work_id":"3092f647-bde8-4684-978f-e67eb526483c","year":2024},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.617254Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:e44ec1d21cd188087cdcf31d16c088d8d65abc8170d70075e41a1cfda12d02d8","observation_id":"96f0b000-5d01-4b22-9d79-3fda459ae0a8","resolution":{"observed_at":"2026-08-15T17:34:56.325677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.298754Z","title":"A novel informer-time-series generative adversarial networks for day-ahead scenario generation of wind power,","venue":null,"work_id":"df6da80e-8755-404c-aee1-eb27c93a4570","year":2024},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.623450Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:23f77a289cecbd5cab022cbd5f2b585db3b365fc842c1ad42d231e7e21acd94b","observation_id":"de5b82df-e901-4a93-aaf4-e15050e3adee","resolution":{"observed_at":"2026-08-15T17:34:56.304796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.281339Z","title":"Continuous and distribution- free probabilistic wind power forecasting: A conditional normalizing flow approach,","venue":null,"work_id":"d4ab3fc7-be66-4f34-b344-d669c6124f69","year":2022},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.629503Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:12984bab961bf43aa6295da8ada2b8e41288acecf95b4ad4e0e9906086b682ac","observation_id":"92090459-82cf-4ab8-8f09-85e47e37e958","resolution":{"observed_at":"2026-08-15T17:34:56.286842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.262638Z","title":"Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models,","venue":null,"work_id":"09d5f487-9c35-413e-b788-7b8333cff42d","year":2021},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.635693Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:bbe0f8cc9fbb53c5708e123bdb34a1707e0074608d71969267f6c175ce9c6f60","observation_id":"7e4d709d-f9ea-4e06-b8b9-9178b41f42a4","resolution":{"observed_at":"2026-08-15T17:34:56.268541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.243588Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"be2b48e7-88b7-46ae-b5c7-3d894d0507e8","year":2020},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.643564Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:68844a4020d1cf46da798e3a0c4f52c020f9ce339886748eb3a0a857bf151922","observation_id":"2710e69a-1b82-4e99-a501-5528374e51b8","resolution":{"observed_at":"2026-08-15T17:34:56.250355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-15T17:34:55.660023Z","title":"Score-based generative modeling through stochastic differ- ential equations,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.660023Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:9a568df62545c5236dfbcc0dd0be1c9f23fe2de1934f62aab47ceb183374ceb3","observation_id":"28b5a60d-1a40-4f70-82ad-d09d120aefd2","resolution":{"observed_at":"2026-08-15T17:34:55.660023Z","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":"2026-08-15T17:34:56.221278Z","title":"Un- derstanding deep learning (still) requires rethinking generalization,","venue":null,"work_id":"6b70f625-f82b-49ec-addb-30bb9a5dabc7","year":2021},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.667383Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:bd1fa946387aea05e55273d1f021af4a75606ef421c3c3c8898ab8bae1f6c31b","observation_id":"afb51e74-3803-45fd-88ad-e44b33da0f0a","resolution":{"observed_at":"2026-08-15T17:34:56.227606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.201712Z","title":"Towards ef- fective long-term wind power forecasting: A deep conditional generative spatio-temporal approach,","venue":null,"work_id":"61b7994a-9a60-460d-808c-7de1c8c688f8","year":2024},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.675413Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:c6e522137c1933f883fd8d1869fbe0a1642d9b9f049f94824aae7fe9b1fee91e","observation_id":"7f44619c-3f9e-460d-8c8c-c6713069067f","resolution":{"observed_at":"2026-08-15T17:34:56.207813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.181324Z","title":"An adaptive approach for probabilistic wind power forecasting based on meta-learning,","venue":null,"work_id":"ba350dff-9600-4a9f-a75d-faf12fd95eee","year":2024},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.685210Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:a99b7e5d1f86b40fef1baa21ebe5fe7b4d6f5008ff6187f01c9fada266791b13","observation_id":"0c4190c6-b018-43a3-affc-8f091fa3b862","resolution":{"observed_at":"2026-08-15T17:34:56.188100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.154235Z","title":"Short-term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning,","venue":null,"work_id":"3cebc9d8-c6c9-4611-9bbb-09a9fa24851a","year":2021},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.690997Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:941b5e52bb532dc455c57c6ee952016184d9f2cbfaae240dc0bbff1805c2a63c","observation_id":"7981dd7f-f615-4386-a52a-035e733c8480","resolution":{"observed_at":"2026-08-15T17:34:56.166706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.134369Z","title":"Ultra-short-term wind power subsection forecasting method based on extreme weather,","venue":null,"work_id":"317b9621-4172-40fc-8d6e-a3c3a0ea4cb9","year":null},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.697534Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:569d3efbb44636116272afc0dde3fc8462d124734cee90aac86512188a443243","observation_id":"c24f723e-7027-4bbb-bebb-17708a4a00c8","resolution":{"observed_at":"2026-08-15T17:34:56.140384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.114150Z","title":"Short-term wind power scenario generation based on conditional latent diffusion models,","venue":null,"work_id":"b6bb43fe-ee6f-486a-a7b8-b12dfd16843d","year":2023},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.706428Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:d632c6618d60667375870f20aa4d5834b7d616c6a7596ada5d9f0f975f1cc345","observation_id":"bab64826-ab31-48fc-9179-dc99be4d1ae7","resolution":{"observed_at":"2026-08-15T17:34:56.120866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.092500Z","title":"Data-driven scenario generation of renewable energy production based on controllable generative adversar- ial networks with interpretability,","venue":null,"work_id":"4299ffa1-86cc-427f-9b9b-f0366f5ea03a","year":null},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.711929Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:e7db50410d6c2d5ef0bba2b731d18c247457efba4a755f806c55186e18b6b4af","observation_id":"53c49cdf-dc35-485a-b582-6f6b75999508","resolution":{"observed_at":"2026-08-15T17:34:56.100039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.070564Z","title":"Generative modeling by estimating gradients of the data distribution,","venue":null,"work_id":"796a2a0c-a59a-4164-aee1-010133e4496f","year":2019},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.719697Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:3e66933909527f5fe5c78eba9dcdaedaa1080fe816eeb78f4759b81c46cf4a46","observation_id":"7a6046ac-130f-43b0-9102-c77cfdfbc686","resolution":{"observed_at":"2026-08-15T17:34:56.077116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:56.040876Z","title":"Translating embeddings for modeling multi-relational data,","venue":null,"work_id":"f225b88f-36a5-4671-a576-00238db211e7","year":2013},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.725638Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:707cbe4081ae414d55134ddc461b4c65c3762f9e72e10a08383a30cf7bdcfbb4","observation_id":"6fe0225b-594c-4d5f-a512-3abbab28aa23","resolution":{"observed_at":"2026-08-15T17:34:56.052792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.13606","last_updated":"2021-11-26T17:10:07Z","snapshot_observed_at":"2026-08-16T17:39:05.595669Z","submitted_at":"2021-11-26T17:10:07Z","title":"Conditional Image Generation with Score-Based Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.13606","snapshot_observed_at":"2026-08-15T17:34:55.731896Z","title":"Conditional image generation with score-based diffusion models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.731896Z"},"links":{"cited_paper":"/paper/2111.13606","citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:87943f0ef446f567f7a84ac8db2d1df896dd4c346c0a67eb9d517f86a38b8eba","observation_id":"6526702e-2eac-4062-8b7d-a57f2e4dbc65","resolution":{"observed_at":"2026-08-15T17:34:55.731896Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:34:55.740775Z","title":"International best track archive for climate stewardship (ibtracs) project, version 4.01,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.740775Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:16fdd3d5e7361c0add040139247537ef86adae8a9cc2425cac8034f7360ec866","observation_id":"46ee4b90-aba0-41dd-98e1-0d4e258cb3aa","resolution":{"observed_at":"2026-08-15T17:34:55.740775Z","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":"2026-08-15T17:34:56.016056Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting,","venue":null,"work_id":"4b85b7c5-1245-41d5-a4d2-189df30b8fee","year":2021},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.747788Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:485c2b8e342b39cbd0609ce9f7d66cc6af1ea626d249dfd84a6e32b481a80e90","observation_id":"ddbc9afb-05f8-4628-9ead-8b1ff8c7e7ee","resolution":{"observed_at":"2026-08-15T17:34:56.022522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19072","last_updated":"2024-11-11T03:18:32Z","snapshot_observed_at":"2026-08-18T12:19:32.476044Z","submitted_at":"2024-02-29T11:54:35Z","title":"TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19072","snapshot_observed_at":"2026-08-15T17:34:55.753980Z","title":"Timexer: Empowering transformers for time series forecasting with exogenous variables,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.753980Z"},"links":{"cited_paper":"/paper/2402.19072","citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:a17b81e94b6c31c65c0ab316aa470c9de152558166e98e887fac0f06220b7d6c","observation_id":"7ec1e5ee-3701-4000-b6ca-ca871636bc98","resolution":{"observed_at":"2026-08-15T17:34:55.753980Z","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":"2026-08-15T17:34:55.992604Z","title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,","venue":null,"work_id":"9e2f9b4b-cea7-45c0-97c7-eb9e955f7579","year":2021},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.759878Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:b2309b00a2fd2376a6a93e84ff7574fe201ba74ba4150cdeff068707e3941547","observation_id":"cf33633a-71e6-4064-974d-baf9e833f269","resolution":{"observed_at":"2026-08-15T17:34:55.999246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:55.968229Z","title":"Deepar: Probabilistic forecasting with autoregressive recurrent networks,","venue":null,"work_id":"3b695b0f-958b-4640-8c9c-4d931c6e5084","year":2020},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.766637Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:6124d98d319d78423106679a2c93eb6b15e63bee61e75f8b9cf5aa4a35b3c927","observation_id":"4678d63f-b550-4d88-b8c8-7c81a11a56e1","resolution":{"observed_at":"2026-08-15T17:34:55.974732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:55.947914Z","title":"Learning structured output represen- tation using deep conditional generative models,","venue":null,"work_id":"315e5ca3-bf0b-4b5f-85e6-7c4bb0a80ad5","year":2015},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.775654Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:c95e400195efd8eb56e42587b147ad490b82b3909312f1541a86ae499d89fb86","observation_id":"a603c11b-f056-4e17-a447-643dfe6b2d69","resolution":{"observed_at":"2026-08-15T17:34:55.953574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T17:34:55.924668Z","title":"Improved training of wasserstein gans,","venue":null,"work_id":"a887f6c2-87c0-4fa2-a066-d6a7022cfd63","year":2017},"citing_paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T17:34:55.783286Z"},"links":{"citing_paper":"/paper/2508.10705"},"observation_digest":"sha256:5032727f8998d9ce2041b94543c0c12aea55a7364165c8a8bd7623bb43243864","observation_id":"efcc868b-ec1c-433e-9605-af05a041a128","resolution":{"observed_at":"2026-08-15T17:34:55.933049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.10705","last_updated":"2025-08-14T14:51:13Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-20T17:24:25.249156Z","submitted_at":"2025-08-14T14:51:13Z","title":"Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":30},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2508.10705."}