{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XIYHXFIETKP5T6IFE3NJMV7EPT","short_pith_number":"pith:XIYHXFIE","canonical_record":{"source":{"id":"1904.08223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-17T12:29:28Z","cross_cats_sorted":[],"title_canon_sha256":"33ad3aa2d407b9c978be171eca5b34f5d625d3036368f34d7f607d0393e00962","abstract_canon_sha256":"37f2a8accd3578f9bdc396f5f94b589eaba89e221d9ab508e5f5b8f67a26076e"},"schema_version":"1.0"},"canonical_sha256":"ba307b95049a9fd9f90526da9657e47cef116965a09b46b5527247ba2f4afad7","source":{"kind":"arxiv","id":"1904.08223","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XIYHXFIETKP5T6IFE3NJMV7EPT","target":"record","payload":{"canonical_record":{"source":{"id":"1904.08223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-17T12:29:28Z","cross_cats_sorted":[],"title_canon_sha256":"33ad3aa2d407b9c978be171eca5b34f5d625d3036368f34d7f607d0393e00962","abstract_canon_sha256":"37f2a8accd3578f9bdc396f5f94b589eaba89e221d9ab508e5f5b8f67a26076e"},"schema_version":"1.0"},"canonical_sha256":"ba307b95049a9fd9f90526da9657e47cef116965a09b46b5527247ba2f4afad7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:18.342733Z","signature_b64":"VxLzjbSLgw4suSg1+HNCmKZxLhMu33nE/H21JtBsvPKK62JhT/1O1YLDfQh5tUIejLATo4sSFZVSuHJ7p9S9Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba307b95049a9fd9f90526da9657e47cef116965a09b46b5527247ba2f4afad7","last_reissued_at":"2026-05-17T23:48:18.342235Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:18.342235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.08223","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:48:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UJx3nLKvV3P82KEhGi1s2G6IOBma9pd4S2Xor+MnC0QS/HCAjN4XwkFXxI55CetonY3c99LbSDCtSrfacGkECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T07:49:50.854897Z"},"content_sha256":"abf050b8681c4d93315a1a9abaf13adcb72afd802869bbb05438f1a355e96121","schema_version":"1.0","event_id":"sha256:abf050b8681c4d93315a1a9abaf13adcb72afd802869bbb05438f1a355e96121"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XIYHXFIETKP5T6IFE3NJMV7EPT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Estimating Cardinalities with Deep Sketches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Alfons Kemper, Andreas Kipf, Bernhard Radke, Dimitri Vorona, Jonas M\\\"uller, Peter Boncz, Thomas Kipf, Thomas Neumann, Viktor Leis","submitted_at":"2019-04-17T12:29:28Z","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."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.08223","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:48:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EmBt0f2Kapmx9EYZCo+IJYnroBNjsP1Wmwn7djbJWvWS1uAjt4XymNUK+Ns8KG/kqWKHnSE6/FpDyBPjiYJ4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T07:49:50.855626Z"},"content_sha256":"d8f96640ef850c632164eaa09e9eaac5d265303b3ada0d4ce40c08363dd19013","schema_version":"1.0","event_id":"sha256:d8f96640ef850c632164eaa09e9eaac5d265303b3ada0d4ce40c08363dd19013"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XIYHXFIETKP5T6IFE3NJMV7EPT/bundle.json","state_url":"https://pith.science/pith/XIYHXFIETKP5T6IFE3NJMV7EPT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XIYHXFIETKP5T6IFE3NJMV7EPT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-06T07:49:50Z","links":{"resolver":"https://pith.science/pith/XIYHXFIETKP5T6IFE3NJMV7EPT","bundle":"https://pith.science/pith/XIYHXFIETKP5T6IFE3NJMV7EPT/bundle.json","state":"https://pith.science/pith/XIYHXFIETKP5T6IFE3NJMV7EPT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XIYHXFIETKP5T6IFE3NJMV7EPT/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kLQNvT6ICYNFenaZW8HwcTWIeq/u47PtTRoqtJq9Ur030TdnfvjFeCH9ojZq6WJBnTUgwbpPS+2MxVmqjKP1DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T07:49:50.858961Z","bundle_sha256":"94efbd1dc939eb93fe0f2188219ac25b55a23e0a47af4463ad498d8da767c922"}}