{"as_of":"2026-08-08T22:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c2dcbba01249cd18c870adc0cd01ff9c13739aa7b7b9dbb8f4e5e972f468cd87","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T16:15:40.416742Z","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":"2026-07-01T00:05:09.627834Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.14090","last_updated":"2025-09-14T02:43:35Z","snapshot_observed_at":"2026-07-06T19:35:44.200337Z","submitted_at":"2024-10-18T00:02:43Z","title":"Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14090","snapshot_observed_at":"2026-08-06T16:15:40.416742Z","title":"A statistical machine learning approach for adapting reduced-order models using projected gaussian process","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14126","last_updated":"2025-07-18T17:55:42Z","snapshot_observed_at":"2026-08-07T14:36:15.779609Z","submitted_at":"2025-07-18T17:55:42Z","title":"Toward Temporal Causal Representation Learning with Tensor Decomposition","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T16:15:40.416742Z"},"links":{"cited_paper":"/paper/2410.14090","citing_paper":"/paper/2507.14126"},"observation_digest":"sha256:7c2857ab90f52bdc123a7bb2f6f6f99a69648eeb064d00fdd2c3fc152096f5c6","observation_id":"2544fa81-e0b2-470d-9631-2d5965cc6448","resolution":{"observed_at":"2026-08-06T16:15:40.416742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14090","last_updated":"2025-09-14T02:43:35Z","snapshot_observed_at":"2026-07-06T19:35:44.200337Z","submitted_at":"2024-10-18T00:02:43Z","title":"Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process","version":2},"cited_work":{"arxiv_id":"2410.14090","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14090","snapshot_observed_at":"2026-07-01T00:05:09.627834Z","title":"Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process","venue":null,"work_id":"f963f29d-9dac-4450-8f52-eaa120e62fdb","year":2026},"citing_paper":{"arxiv_id":"2605.04130","last_updated":"2026-06-04T18:31:14Z","snapshot_observed_at":"2026-07-06T23:16:59.568304Z","submitted_at":"2026-05-05T16:58:09Z","title":"Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-08T18:05:14.967162Z"},"links":{"cited_paper":"/paper/2410.14090","citing_paper":"/paper/2605.04130"},"observation_digest":"sha256:23288e26720291e29d40f605c52bca4ec677783f07e563fc66efd8446870dab8","observation_id":"29b6bf32-1276-4ce0-b238-ca88ae64309b","resolution":{"observed_at":"2026-05-09T06:50:40.855730Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14090","last_updated":"2025-09-14T02:43:35Z","snapshot_observed_at":"2026-07-06T19:35:44.200337Z","submitted_at":"2024-10-18T00:02:43Z","title":"Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process","version":2},"cited_work":{"arxiv_id":"2410.14090","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14090","snapshot_observed_at":"2026-07-01T00:05:09.627834Z","title":"Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process","venue":null,"work_id":"f963f29d-9dac-4450-8f52-eaa120e62fdb","year":2026},"citing_paper":{"arxiv_id":"2605.04130","last_updated":"2026-06-04T18:31:14Z","snapshot_observed_at":"2026-07-06T23:16:59.568304Z","submitted_at":"2026-05-05T16:58:09Z","title":"Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-01T00:03:40.470908Z"},"links":{"cited_paper":"/paper/2410.14090","citing_paper":"/paper/2605.04130"},"observation_digest":"sha256:d2b5097bbab4d759bf681913fa0ac8b1304c15b658037a52b3444d8f9490e42f","observation_id":"710bc1d4-97bd-4f3a-b9e6-9bf7c95f5281","resolution":{"observed_at":"2026-07-01T00:05:09.629253Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.14090/citation-record","integrity":"/paper/2410.14090/integrity","json":"/paper/2410.14090/citation-record.json","paper":"/paper/2410.14090"},"outbound":[],"paper":{"arxiv_id":"2410.14090","last_updated":"2025-09-14T02:43:35Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T19:35:44.200337Z","submitted_at":"2024-10-18T00:02:43Z","title":"Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14090."}