{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:J45ARV7FN3ZMF5V64EXWMJLYEC","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":"c36e80c9577aab730735965ab3ba812178bc21ca3239def67ca4adf4a365b37f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-04-25T08:04:49Z","title_canon_sha256":"2cfee359aab152ff54eca8841956a09c32c4dca188efb0072847ef8aee31ee88"},"schema_version":"1.0","source":{"id":"2304.12635","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.12635","created_at":"2026-07-05T06:49:02Z"},{"alias_kind":"arxiv_version","alias_value":"2304.12635v4","created_at":"2026-07-05T06:49:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.12635","created_at":"2026-07-05T06:49:02Z"},{"alias_kind":"pith_short_12","alias_value":"J45ARV7FN3ZM","created_at":"2026-07-05T06:49:02Z"},{"alias_kind":"pith_short_16","alias_value":"J45ARV7FN3ZMF5V6","created_at":"2026-07-05T06:49:02Z"},{"alias_kind":"pith_short_8","alias_value":"J45ARV7F","created_at":"2026-07-05T06:49:02Z"}],"graph_snapshots":[{"event_id":"sha256:bdbc131c7e13ce59be76c9925ca41261a5917dced8877ec64bc03abc2c52fb68","target":"graph","created_at":"2026-07-05T06:49:02Z","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/2304.12635/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recently proposed learned indexes have attracted much attention as they can adapt to the actual data and query distributions to attain better search efficiency. Based on this technique, several existing works build up indexes for multi-dimensional data and achieve improved query performance. A common paradigm of these works is to (i) map multi-dimensional data points to a one-dimensional space using a fixed space-filling curve (SFC) or its variant and (ii) then apply the learned indexing techniques. We notice that the first step typically uses a fixed SFC method, such as row-major order an","authors_text":"Gong Zhang, Jian Gao, Wei Wang, Xin Cao, Xin Yao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-04-25T08:04:49Z","title":"LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.12635","kind":"arxiv","version":4},"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":"sha256:418cb384076c89d264f13dccda1c067c993b3bf4d2e4267ef24c43ca39cde723","target":"record","created_at":"2026-07-05T06:49:02Z","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":"c36e80c9577aab730735965ab3ba812178bc21ca3239def67ca4adf4a365b37f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-04-25T08:04:49Z","title_canon_sha256":"2cfee359aab152ff54eca8841956a09c32c4dca188efb0072847ef8aee31ee88"},"schema_version":"1.0","source":{"id":"2304.12635","kind":"arxiv","version":4}},"canonical_sha256":"4f3a08d7e56ef2c2f6bee12f662578209ad0c42fd4235d0de23286633f4955d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f3a08d7e56ef2c2f6bee12f662578209ad0c42fd4235d0de23286633f4955d9","first_computed_at":"2026-07-05T06:49:02.301336Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:49:02.301336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CB2MtQSM0SnyYJbPlqPm/3PDjEFwvEOEeTwkSSLd58YE+28aDs195BCQPK+5LFp4Kd2YTRmS2t0mfwt3quYICg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:49:02.301754Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.12635","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:418cb384076c89d264f13dccda1c067c993b3bf4d2e4267ef24c43ca39cde723","sha256:bdbc131c7e13ce59be76c9925ca41261a5917dced8877ec64bc03abc2c52fb68"],"state_sha256":"af71aad6508dd25df2a36828ae6e84000f6f7fbe3233e0032f49d2fadf466ef6"}