{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XIYHXFIETKP5T6IFE3NJMV7EPT","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":"37f2a8accd3578f9bdc396f5f94b589eaba89e221d9ab508e5f5b8f67a26076e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-17T12:29:28Z","title_canon_sha256":"33ad3aa2d407b9c978be171eca5b34f5d625d3036368f34d7f607d0393e00962"},"schema_version":"1.0","source":{"id":"1904.08223","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.08223","created_at":"2026-05-17T23:48:18Z"},{"alias_kind":"arxiv_version","alias_value":"1904.08223v1","created_at":"2026-05-17T23:48:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.08223","created_at":"2026-05-17T23:48:18Z"},{"alias_kind":"pith_short_12","alias_value":"XIYHXFIETKP5","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XIYHXFIETKP5T6IF","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XIYHXFIE","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:d8f96640ef850c632164eaa09e9eaac5d265303b3ada0d4ce40c08363dd19013","target":"graph","created_at":"2026-05-17T23:48:18Z","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"},"paper":{"abstract_excerpt":"We introduce Deep Sketches, which are compact models of databases that allow us to estimate the result sizes of SQL queries. Deep Sketches are powered by a new deep learning approach to cardinality estimation that can capture correlations between columns, even across tables. Our demonstration allows users to define such sketches on the TPC-H and IMDb datasets, monitor the training process, and run ad-hoc queries against trained sketches. We also estimate query cardinalities with HyPer and PostgreSQL to visualize the gains over traditional cardinality estimators.","authors_text":"Alfons Kemper, Andreas Kipf, Bernhard Radke, Dimitri Vorona, Jonas M\\\"uller, Peter Boncz, Thomas Kipf, Thomas Neumann, Viktor Leis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-17T12:29:28Z","title":"Estimating Cardinalities with Deep Sketches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.08223","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:abf050b8681c4d93315a1a9abaf13adcb72afd802869bbb05438f1a355e96121","target":"record","created_at":"2026-05-17T23:48:18Z","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":"37f2a8accd3578f9bdc396f5f94b589eaba89e221d9ab508e5f5b8f67a26076e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-17T12:29:28Z","title_canon_sha256":"33ad3aa2d407b9c978be171eca5b34f5d625d3036368f34d7f607d0393e00962"},"schema_version":"1.0","source":{"id":"1904.08223","kind":"arxiv","version":1}},"canonical_sha256":"ba307b95049a9fd9f90526da9657e47cef116965a09b46b5527247ba2f4afad7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba307b95049a9fd9f90526da9657e47cef116965a09b46b5527247ba2f4afad7","first_computed_at":"2026-05-17T23:48:18.342235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:18.342235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VxLzjbSLgw4suSg1+HNCmKZxLhMu33nE/H21JtBsvPKK62JhT/1O1YLDfQh5tUIejLATo4sSFZVSuHJ7p9S9Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:18.342733Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.08223","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abf050b8681c4d93315a1a9abaf13adcb72afd802869bbb05438f1a355e96121","sha256:d8f96640ef850c632164eaa09e9eaac5d265303b3ada0d4ce40c08363dd19013"],"state_sha256":"c96df5584e1f3b3affa01a0dc468ab5dce5c68ccc67c263841c3b735fc9a5f44"}