{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:N6A7PEFIWMNSPTRLQBWTDSL3GP","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":"5e31789990b8a05cb3d6fd95ea53e50fbe40bf5b829644753ecac0790e313c14","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-22T10:07:33Z","title_canon_sha256":"875c69ac76474770a40f27736188b339832cfece1cfdaccddb8295835e44a174"},"schema_version":"1.0","source":{"id":"2505.16481","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16481","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16481v3","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16481","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_12","alias_value":"N6A7PEFIWMNS","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_16","alias_value":"N6A7PEFIWMNSPTRL","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_8","alias_value":"N6A7PEFI","created_at":"2026-07-05T11:54:12Z"}],"graph_snapshots":[{"event_id":"sha256:b69d9977ce65c4412534506fe453a5572e93dc2fd4c369cf672a46e3c95dd3ef","target":"graph","created_at":"2026-07-05T11:54:12Z","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/2505.16481/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gaussian Process (GP) Variational Autoencoders (VAEs) extend standard VAEs by replacing the fully factorised Gaussian prior with a GP prior, thereby capturing richer correlations among latent variables. However, performing exact GP inference in large-scale GPVAEs is computationally prohibitive, often forcing existing approaches to rely on restrictive kernel assumptions or large sets of inducing points. In this work, we propose a neighbour-driven approximation strategy that exploits local adjacencies in the latent space to achieve scalable GPVAE inference. By confining computations to the neare","authors_text":"Mauricio A. \\'Alvarez, Xiaoyu Jiang, Xinxing Shi","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-22T10:07:33Z","title":"Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16481","kind":"arxiv","version":3},"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":"sha256:7d275c7b6e70d6ec7cfbf22cb250ab1fdc7ef0efa61aeb23fea9f337dc0c2245","target":"record","created_at":"2026-07-05T11:54:12Z","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":"5e31789990b8a05cb3d6fd95ea53e50fbe40bf5b829644753ecac0790e313c14","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-22T10:07:33Z","title_canon_sha256":"875c69ac76474770a40f27736188b339832cfece1cfdaccddb8295835e44a174"},"schema_version":"1.0","source":{"id":"2505.16481","kind":"arxiv","version":3}},"canonical_sha256":"6f81f790a8b31b27ce2b806d31c97b33fedffc2eee2a62fd7981f6923f07e8a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f81f790a8b31b27ce2b806d31c97b33fedffc2eee2a62fd7981f6923f07e8a5","first_computed_at":"2026-07-05T11:54:12.141631Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:12.141631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iFvZOCqvm8AtJSjqYVnxAOFZGRIqQnXuLDpy9qNiVHkUDMx3aL3vbLf5tlemQBb9zvPdO7FnfKLqVVhCJ4MODQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:12.142063Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16481","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d275c7b6e70d6ec7cfbf22cb250ab1fdc7ef0efa61aeb23fea9f337dc0c2245","sha256:b69d9977ce65c4412534506fe453a5572e93dc2fd4c369cf672a46e3c95dd3ef"],"state_sha256":"7a3b6641a274a56b915a12640254bc88dc81cdcd0e96430882992d69a239228a"}