{"as_of":"2026-08-10T05:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:186e99327e62312a6c73653fd802ad48e600fc3101353b011fe2f03cf51cb2c3","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T22:03:41.341942Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.15900/citation-record","integrity":"/paper/2607.15900/integrity","json":"/paper/2607.15900/citation-record.json","paper":"/paper/2607.15900"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T22:03:39.233202Z","title":"Analysis of wind energy curtailment in the Ireland and Northern Ireland power systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:39.233202Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:e1e5e9d968a5eec5770d6b31210e5dcc53e6167278fd4af32ad77c213c3d7a41","observation_id":"7f214832-c407-4e33-8f0a-eba844d34464","resolution":{"observed_at":"2026-08-01T22:03:39.233202Z","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":"2026-08-01T22:03:39.326403Z","title":"Stability assessment of low-inertia power systems: A system operator perspective,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:39.326403Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:7b06a7989dce4b10da8946a62139e51f480fe29d3435e0440ed69cc8549bef55","observation_id":"d680b1d8-80a9-43ec-aaf0-1c433d7ab01b","resolution":{"observed_at":"2026-08-01T22:03:39.326403Z","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":"2026-08-01T22:03:39.533066Z","title":"A comprehensive approach to evaluate fre- quency control strength of power systems,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:39.533066Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:93f1e4eda1a8f361688a0cdc2e53e8297809903832f49ee4a31edcd0d55aef20","observation_id":"b6f50f7d-6ea2-4ba5-9831-c30bb5e45329","resolution":{"observed_at":"2026-08-01T22:03:39.533066Z","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":"2026-08-01T22:03:39.656408Z","title":"Day-ahead system services auction (DASSA) design recommendations paper v1.0,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:39.656408Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:0033dc15bc5d7a9208aa6576194f5edf56d0ba1cab0a50885f653b4e7d32fb0e","observation_id":"d1bf986b-072d-454a-b426-2e6bd1780a3c","resolution":{"observed_at":"2026-08-01T22:03:39.656408Z","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":"2026-08-01T22:03:39.788712Z","title":"Day-ahead system services auction (DASSA) volume forecasting methodology consultation paper v1.0,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:39.788712Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:56e1edc827034d77e08f29749b21fe3d80c37e5246aa15e5ae46b58068aa66e5","observation_id":"eade64bc-bf15-4c24-b0e4-94601906207e","resolution":{"observed_at":"2026-08-01T22:03:39.788712Z","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":"2026-08-01T22:03:39.934142Z","title":"Dynamic dimensioning approach for operating reserves: Proof of concept in Belgium,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:39.934142Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:ac0b7e958ead9124019f67e2149b2c50c9816b75b81903219fc86777254beb98","observation_id":"c1c92a56-bb2c-4fd1-829d-46f2c1402509","resolution":{"observed_at":"2026-08-01T22:03:39.934142Z","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":"2026-08-01T22:03:40.046922Z","title":"Power systems optimization under uncertainty: A review of methods and applications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.046922Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:4802b2fb1d5e46c8c22ac48481ab27868ce6b0938dafa8a682456d30d9c442f5","observation_id":"b7669a5d-25e2-459f-8734-d0c9d223c3a5","resolution":{"observed_at":"2026-08-01T22:03:40.046922Z","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":"2026-08-01T22:03:40.184495Z","title":"Operating dynamic reserve dimensioning using probabilistic forecasts,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.184495Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:3f0bbd0e827801b161aa2974308f7cd640435ff756fefe777f0198f70938f3ab","observation_id":"5cf5c282-95a9-40d0-bb49-b82e5e57f77b","resolution":{"observed_at":"2026-08-01T22:03:40.184495Z","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":"2026-08-01T22:03:40.355251Z","title":"Assessing dynamic reserves vs. stochastic optimization for effective integration of operating probabilistic forecasts,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.355251Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:6430336a6e9cabc92b37e353a32c5ff8e0f56d2ea49a06d46b71541e0a5ea48e","observation_id":"a9004b84-c08b-4168-aa7f-01a8fc4fcb7e","resolution":{"observed_at":"2026-08-01T22:03:40.355251Z","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":"2026-08-01T22:03:40.477851Z","title":"Assessing potential benefits of dynamic frequency restoration reserve dimensioning in multi-area power systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.477851Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:6eb3d1fe62eda9348d26fdd088c6ba71f147f4a46d5701eda4ad4b81bd52a937","observation_id":"1f058705-16ac-4fa1-b9da-5064812de86b","resolution":{"observed_at":"2026-08-01T22:03:40.477851Z","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":"2026-08-01T22:03:40.626403Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.626403Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:6e385bbc500c4d1680fe5baa7060ee53b20b07063144781583860f8e489b2e9a","observation_id":"323e5917-ef88-47ae-95d7-0ca217efbe43","resolution":{"observed_at":"2026-08-01T22:03:40.626403Z","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":"2026-08-01T22:03:40.757134Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.757134Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:b736556f94bb5906440a551b07965ee9959286348d43d39a2a3819cdab693501","observation_id":"edd819af-d4b3-4661-a49c-3a2924df55c4","resolution":{"observed_at":"2026-08-01T22:03:40.757134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07125","last_updated":"2023-05-11T21:47:52Z","snapshot_observed_at":"2026-08-06T09:46:00.800448Z","submitted_at":"2022-02-15T01:43:27Z","title":"Transformers in Time Series: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07125","snapshot_observed_at":"2026-08-01T22:03:40.869076Z","title":"Trans- formers in time series: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.869076Z"},"links":{"cited_paper":"/paper/2202.07125","citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:1306955c148a59a35d5b4a362dd46e2f72443f1a7a00fe9269d670c25ad9b0e6","observation_id":"bad3dba0-e6ff-4cd3-a435-6e2906b22f2e","resolution":{"observed_at":"2026-08-01T22:03:40.869076Z","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":"2026-08-01T22:03:40.973341Z","title":"Adaptive temporal transformer method for short-term wind power forecasting considering shift in time series distribution,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:40.973341Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:62a509142bf51d978e8feac3839e4d8787fcf5f9f4860fca77dc125f6f99657a","observation_id":"778f1013-e620-4721-9407-5788a7534ffb","resolution":{"observed_at":"2026-08-01T22:03:40.973341Z","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":"2026-08-01T22:03:41.112161Z","title":"Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:41.112161Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:217d75c4ffa55d5953bccac0fef42fba1196a669a5a05677989245f195fec0b6","observation_id":"7c2e9d13-909c-42e6-9561-492fef6f7b11","resolution":{"observed_at":"2026-08-01T22:03:41.112161Z","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":"2026-08-01T22:03:41.243891Z","title":"New reserve services for the Ireland and Northern Ireland power systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:41.243891Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:52888e2ca86f1b2a1c8cb02958d9d427aaea3320b9c9ce48dcfd7012ee9240bc","observation_id":"15fa48f6-771a-4cdf-92ce-1f004309f842","resolution":{"observed_at":"2026-08-01T22:03:41.243891Z","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":"2026-08-01T22:03:41.341942Z","title":"Establishing a guideline on electricity transmission system operation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T22:03:41.341942Z"},"links":{"citing_paper":"/paper/2607.15900"},"observation_digest":"sha256:5bfba90ce23f00eca3da65665d73b6d2e36e0bae88776426df88997701a90e8c","observation_id":"a264bb11-8506-4543-9ed9-9f1c83264ad7","resolution":{"observed_at":"2026-08-01T22:03:41.341942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.15900","last_updated":"2026-07-17T12:12:48Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-08T06:03:53.526907Z","submitted_at":"2026-07-17T12:12:48Z","title":"Day-Ahead Forecasting of Largest Single Infeed/Outfeed on the Irish Power Grid: A Generative Artificial Intelligence Approach"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":17},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.15900."}