{"as_of":"2026-08-17T19:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd7ee822f8f708bce68784855835810aee876a773ece47f84a16f0e6a20ca6ee","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T00:47:24.344831Z","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":"2026-05-11T16:16:07.048873Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1410.7827","last_updated":"2015-11-24T03:12:57Z","snapshot_observed_at":"2026-08-14T23:13:53.804949Z","submitted_at":"2014-10-28T22:04:30Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.7827","snapshot_observed_at":"2026-08-11T19:51:18.280904Z","title":"Generalized product of experts for automatic and principled fu- sion of gaussian process predictions,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.07804","last_updated":"2025-03-05T10:09:25Z","snapshot_observed_at":"2026-08-15T07:35:02.681316Z","submitted_at":"2024-12-09T09:04:02Z","title":"XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T19:51:18.280904Z"},"links":{"cited_paper":"/paper/1410.7827","citing_paper":"/paper/2412.07804"},"observation_digest":"sha256:adbb380189eadc3390f08037981724b8c664dc2e92f029374cac291c631884b8","observation_id":"7357a2f4-6b17-4278-a250-1b1518e54492","resolution":{"observed_at":"2026-08-11T19:51:18.280904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.7827","last_updated":"2015-11-24T03:12:57Z","snapshot_observed_at":"2026-08-14T23:13:53.804949Z","submitted_at":"2014-10-28T22:04:30Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.7827","snapshot_observed_at":"2026-08-11T14:30:38.032371Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11950","last_updated":"2024-12-16T16:34:48Z","snapshot_observed_at":"2026-08-17T01:51:31.449125Z","submitted_at":"2024-12-16T16:34:48Z","title":"Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T14:30:38.032371Z"},"links":{"cited_paper":"/paper/1410.7827","citing_paper":"/paper/2412.11950"},"observation_digest":"sha256:375d2d5b2519dc131db4b4b1f87f46bc92c7bfdc783551dd83e09526c9e13ef4","observation_id":"bf6143f6-d725-4559-b8f1-6c309eb22792","resolution":{"observed_at":"2026-08-11T14:30:38.032371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.7827","last_updated":"2015-11-24T03:12:57Z","snapshot_observed_at":"2026-08-14T23:13:53.804949Z","submitted_at":"2014-10-28T22:04:30Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions","version":2},"cited_work":{"arxiv_id":"1410.7827","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1410.7827","snapshot_observed_at":"2026-07-04T20:41:26.998564Z","title":"),…,𝑧̂#(𝑠","venue":null,"work_id":"790ed9e3-0768-43ef-a68f-6a23ef8e9327","year":2022},"citing_paper":{"arxiv_id":"2605.01157","last_updated":"2026-08-03T01:53:32Z","snapshot_observed_at":"2026-08-15T00:33:17.637317Z","submitted_at":"2026-05-01T23:23:31Z","title":"Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-09T18:22:41.311474Z"},"links":{"cited_paper":"/paper/1410.7827","citing_paper":"/paper/2605.01157"},"observation_digest":"sha256:3062c55e6ce252e2ebfe1bef1526c2832ff29242e7ceabc10d2480c321936ece","observation_id":"145809b0-7f74-4345-93c0-a30bff043717","resolution":{"observed_at":"2026-07-04T20:41:26.998564Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1410.7827","last_updated":"2015-11-24T03:12:57Z","snapshot_observed_at":"2026-08-14T23:13:53.804949Z","submitted_at":"2014-10-28T22:04:30Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.7827","snapshot_observed_at":"2026-08-04T05:22:42.250169Z","title":"),…,𝑧̂#(𝑠","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.01157","last_updated":"2026-08-03T01:53:32Z","snapshot_observed_at":"2026-08-15T00:33:17.637317Z","submitted_at":"2026-05-01T23:23:31Z","title":"Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T05:22:42.250169Z"},"links":{"cited_paper":"/paper/1410.7827","citing_paper":"/paper/2605.01157"},"observation_digest":"sha256:b21d90ed2318f7af89525bd0db631c26ec019414a0e0f67e03d29ac5da9b4b33","observation_id":"6d405a61-d711-45e4-a130-3948465686f4","resolution":{"observed_at":"2026-08-04T05:22:42.250169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.7827","last_updated":"2015-11-24T03:12:57Z","snapshot_observed_at":"2026-08-14T23:13:53.804949Z","submitted_at":"2014-10-28T22:04:30Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.7827","snapshot_observed_at":"2026-08-05T19:02:36.702764Z","title":"C., Ward, E","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03449","last_updated":"2026-08-04T10:45:44Z","snapshot_observed_at":"2026-08-17T04:41:43.062924Z","submitted_at":"2026-08-04T10:45:44Z","title":"Fast covariance-free spatiotemporal modeling via coarse-to-fine learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T19:02:36.702764Z"},"links":{"cited_paper":"/paper/1410.7827","citing_paper":"/paper/2608.03449"},"observation_digest":"sha256:6793ae17125d3bdeaff95b5e8f02b28d2f86a938232e6623ea9c12763647ab3e","observation_id":"9ff1e73f-a15f-4dfb-91a8-def7bcd12529","resolution":{"observed_at":"2026-08-05T19:02:36.702764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.7827","last_updated":"2015-11-24T03:12:57Z","snapshot_observed_at":"2026-08-14T23:13:53.804949Z","submitted_at":"2014-10-28T22:04:30Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.7827","snapshot_observed_at":"2026-08-12T00:47:24.344831Z","title":"Generalized product of experts for automatic and principled fusion of gaussian process predictions,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.07895","last_updated":"2026-08-08T03:43:58Z","snapshot_observed_at":"2026-08-17T09:36:32.250411Z","submitted_at":"2026-08-08T03:43:58Z","title":"Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T00:47:24.344831Z"},"links":{"cited_paper":"/paper/1410.7827","citing_paper":"/paper/2608.07895"},"observation_digest":"sha256:f02d7e3edb2dd045dda915e1ead1d3bf365194179b4f5d25da34c031b4bd369e","observation_id":"936d216c-a6ca-4faf-aca0-4b68ad6704d4","resolution":{"observed_at":"2026-08-12T00:47:24.344831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1410.7827/citation-record","integrity":"/paper/1410.7827/integrity","json":"/paper/1410.7827/citation-record.json","paper":"/paper/1410.7827"},"outbound":[],"paper":{"arxiv_id":"1410.7827","last_updated":"2015-11-24T03:12:57Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T23:13:53.804949Z","submitted_at":"2014-10-28T22:04:30Z","title":"Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1410.7827."}