{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:X5GBKRC6MBDG7JD7CBL3C7PT5W","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"312a1953f1b51c3f33200002e9119cd62a33d5c79938c35fb0ab13ad4099d05f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-11T09:38:58Z","title_canon_sha256":"577d8edff8f4b0f69fe7a4ea6b063163229606618ac938818bfe59732317c331"},"schema_version":"1.0","source":{"id":"2304.05091","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.05091","created_at":"2026-07-05T05:59:55Z"},{"alias_kind":"arxiv_version","alias_value":"2304.05091v1","created_at":"2026-07-05T05:59:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.05091","created_at":"2026-07-05T05:59:55Z"},{"alias_kind":"pith_short_12","alias_value":"X5GBKRC6MBDG","created_at":"2026-07-05T05:59:55Z"},{"alias_kind":"pith_short_16","alias_value":"X5GBKRC6MBDG7JD7","created_at":"2026-07-05T05:59:55Z"},{"alias_kind":"pith_short_8","alias_value":"X5GBKRC6","created_at":"2026-07-05T05:59:55Z"}],"graph_snapshots":[{"event_id":"sha256:4847e6afe35520b9557ed397b4134a9ae0cd12445ea12a260d7758c3a801a4f1","target":"graph","created_at":"2026-07-05T05:59:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2304.05091/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gaussian processes (GPs) are typically criticised for their unfavourable scaling in both computational and memory requirements. For large datasets, sparse GPs reduce these demands by conditioning on a small set of inducing variables designed to summarise the data. In practice however, for large datasets requiring many inducing variables, such as low-lengthscale spatial data, even sparse GPs can become computationally expensive, limited by the number of inducing variables one can use. In this work, we propose a new class of inter-domain variational GP, constructed by projecting a GP onto a set ","authors_text":"Daniel Augusto de Souza, Harry Jake Cunningham, Marc Peter Deisenroth, Mark van der Wilk, So Takao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-11T09:38:58Z","title":"Actually Sparse Variational Gaussian Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.05091","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4436d09acd55f569f05a816c2b16f85741f5738f701435f86fc2320296f03438","target":"record","created_at":"2026-07-05T05:59:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"312a1953f1b51c3f33200002e9119cd62a33d5c79938c35fb0ab13ad4099d05f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-11T09:38:58Z","title_canon_sha256":"577d8edff8f4b0f69fe7a4ea6b063163229606618ac938818bfe59732317c331"},"schema_version":"1.0","source":{"id":"2304.05091","kind":"arxiv","version":1}},"canonical_sha256":"bf4c15445e60466fa47f1057b17df3edb4b18f4accbf56911f0ba2459e959cd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf4c15445e60466fa47f1057b17df3edb4b18f4accbf56911f0ba2459e959cd3","first_computed_at":"2026-07-05T05:59:55.170771Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:59:55.170771Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WsHk48FAHPkZ5ijH4Eamr70lmxR0Oi1zHp1NJ3KxCMn99dH5sSJa5QmVNn/SH0QharlMvuuaE/U3Njv0PWrlBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:59:55.171110Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.05091","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4436d09acd55f569f05a816c2b16f85741f5738f701435f86fc2320296f03438","sha256:4847e6afe35520b9557ed397b4134a9ae0cd12445ea12a260d7758c3a801a4f1"],"state_sha256":"d6a35c5aa571445971db91ed32c34ea22edb6e68d01cd750f7195d4149faf560"}