{"as_of":"2026-08-07T07:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e64136344830c28740afe23bde61eb8172939e224ce1dc9818b0ce591d68d028","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:06:13.964785Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T07:17:30.335929Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.10356","last_updated":"2026-05-27T23:44:28Z","snapshot_observed_at":"2026-08-01T14:26:06.248412Z","submitted_at":"2023-06-17T14:03:09Z","title":"MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10356","snapshot_observed_at":"2026-08-06T11:06:13.964785Z","title":"Tortora, F","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23147","last_updated":"2025-07-30T22:50:52Z","snapshot_observed_at":"2026-08-06T11:06:12.584431Z","submitted_at":"2025-07-30T22:50:52Z","title":"Foundation Models for Clean Energy Forecasting: A Comprehensive Review","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T11:06:13.964785Z"},"links":{"cited_paper":"/paper/2306.10356","citing_paper":"/paper/2507.23147"},"observation_digest":"sha256:c6930c532dbfcce5e369511b6d5bc00509961be08dc1ebe00b303986a1fbe136","observation_id":"e5f8ad0e-f4fa-4a4c-aec8-cc82a1b8fcf9","resolution":{"observed_at":"2026-08-06T11:06:13.964785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10356","last_updated":"2026-05-27T23:44:28Z","snapshot_observed_at":"2026-08-01T14:26:06.248412Z","submitted_at":"2023-06-17T14:03:09Z","title":"MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting","version":3},"cited_work":{"arxiv_id":"2306.10356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.10356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting","venue":null,"work_id":"c979ce8c-39c8-43a6-a077-4eb71e14ba0c","year":2023},"citing_paper":{"arxiv_id":"2602.17683","last_updated":"2026-06-25T17:14:37Z","snapshot_observed_at":"2026-08-06T14:11:01.610417Z","submitted_at":"2026-02-04T17:48:52Z","title":"Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-16T07:15:48.451923Z"},"links":{"cited_paper":"/paper/2306.10356","citing_paper":"/paper/2602.17683"},"observation_digest":"sha256:1b9ca79669e0d34bb9c872b2abd6008317baccc16e2a1b521150469d06e01afe","observation_id":"ae2556be-9524-442f-acd1-f359b611f909","resolution":{"observed_at":"2026-05-29T02:04:50.414585Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10356","last_updated":"2026-05-27T23:44:28Z","snapshot_observed_at":"2026-08-01T14:26:06.248412Z","submitted_at":"2023-06-17T14:03:09Z","title":"MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10356","snapshot_observed_at":"2026-08-03T04:31:22.257044Z","title":"MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.17683","last_updated":"2026-06-25T17:14:37Z","snapshot_observed_at":"2026-08-06T14:11:01.610417Z","submitted_at":"2026-02-04T17:48:52Z","title":"Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T04:31:22.257044Z"},"links":{"cited_paper":"/paper/2306.10356","citing_paper":"/paper/2602.17683"},"observation_digest":"sha256:847afe4cd9bf9d62895f60e7bb6fb1cb05552528ba6b5fc1bb16de680f69159c","observation_id":"0862c526-da88-4071-9a5e-d44cd1756462","resolution":{"observed_at":"2026-08-03T04:31:22.257044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.10356/citation-record","integrity":"/paper/2306.10356/integrity","json":"/paper/2306.10356/citation-record.json","paper":"/paper/2306.10356"},"outbound":[],"paper":{"arxiv_id":"2306.10356","last_updated":"2026-05-27T23:44:28Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-01T14:26:06.248412Z","submitted_at":"2023-06-17T14:03:09Z","title":"MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.10356."}