{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:L7JK6SUBXE6FSN5XBBDWQC7SXJ","short_pith_number":"pith:L7JK6SUB","canonical_record":{"source":{"id":"1703.08732","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-03-25T19:00:23Z","cross_cats_sorted":[],"title_canon_sha256":"b7f4340c333a65f4f439999d45c776abb994b23b60b74b1115e2a8937b67eb0f","abstract_canon_sha256":"19598fda78f8818770823e6cd9e9eb889438e5d7b77454aabf0db507a6323fb9"},"schema_version":"1.0"},"canonical_sha256":"5fd2af4a81b93c5937b70847680bf2ba5a12b0d1c9362f4e53105946bff5cad6","source":{"kind":"arxiv","id":"1703.08732","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.08732","created_at":"2026-05-18T00:47:55Z"},{"alias_kind":"arxiv_version","alias_value":"1703.08732v1","created_at":"2026-05-18T00:47:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.08732","created_at":"2026-05-18T00:47:55Z"},{"alias_kind":"pith_short_12","alias_value":"L7JK6SUBXE6F","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"L7JK6SUBXE6FSN5X","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"L7JK6SUB","created_at":"2026-05-18T12:31:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:L7JK6SUBXE6FSN5XBBDWQC7SXJ","target":"record","payload":{"canonical_record":{"source":{"id":"1703.08732","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-03-25T19:00:23Z","cross_cats_sorted":[],"title_canon_sha256":"b7f4340c333a65f4f439999d45c776abb994b23b60b74b1115e2a8937b67eb0f","abstract_canon_sha256":"19598fda78f8818770823e6cd9e9eb889438e5d7b77454aabf0db507a6323fb9"},"schema_version":"1.0"},"canonical_sha256":"5fd2af4a81b93c5937b70847680bf2ba5a12b0d1c9362f4e53105946bff5cad6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:55.743986Z","signature_b64":"55yfKYLXwnjWwnpMc4rNN2nIUxxkXcmzIQNIhcjedabo89B9CcF9Ys9rxt8oUYJdQz2Jg7z+Pkww/oBV2HTvCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fd2af4a81b93c5937b70847680bf2ba5a12b0d1c9362f4e53105946bff5cad6","last_reissued_at":"2026-05-18T00:47:55.743450Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:55.743450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.08732","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":"2026-05-18T00:47:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A23wOAeISyxdG2W2puuHNcvdZyQR6gjowGV6AP4hwVBVd09n8wGvDmqDkCiw4uN8fW3d13VVQadrI/TzyHQsDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T08:40:05.378198Z"},"content_sha256":"ceba9168d44db8914a7299d79cea9f14db686524f7c5907f1c8ad9313d16aeea","schema_version":"1.0","event_id":"sha256:ceba9168d44db8914a7299d79cea9f14db686524f7c5907f1c8ad9313d16aeea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:L7JK6SUBXE6FSN5XBBDWQC7SXJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"80 New Packages to Mine Database Query Logs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Martin Kersten, Thibault Sellam","submitted_at":"2017-03-25T19:00:23Z","abstract_excerpt":"The query log of a DBMS is a powerful resource. It enables many practical applications, including query optimization and user experience enhancement. And yet, mining SQL queries is a difficult task. The fundamental problem is that queries are symbolic objects, not vectors of numbers. Therefore, many popular statistical concepts, such as means, regression, or decision trees do not apply. Most authors limit themselves to ad hoc algorithms or approaches based on neighborhoods, such as k Nearest Neighbors. Our project is to challenge this limitation. We introduce methods to manipulate SQL queries "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.08732","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":"2026-05-18T00:47:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ENOYFkyRe4JeSCv+p65voUSrkdDgYkQv9w4p2WYnIfUFENH0qeOXkTq5w+Qb8i9E5LVMEvT9og/JJHO5g8xkDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T08:40:05.378591Z"},"content_sha256":"440a9e9bf3fa24cb077c608eeab079fda624c64a7b3293569aa967701ed37085","schema_version":"1.0","event_id":"sha256:440a9e9bf3fa24cb077c608eeab079fda624c64a7b3293569aa967701ed37085"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L7JK6SUBXE6FSN5XBBDWQC7SXJ/bundle.json","state_url":"https://pith.science/pith/L7JK6SUBXE6FSN5XBBDWQC7SXJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L7JK6SUBXE6FSN5XBBDWQC7SXJ/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":"2026-06-09T08:40:05Z","links":{"resolver":"https://pith.science/pith/L7JK6SUBXE6FSN5XBBDWQC7SXJ","bundle":"https://pith.science/pith/L7JK6SUBXE6FSN5XBBDWQC7SXJ/bundle.json","state":"https://pith.science/pith/L7JK6SUBXE6FSN5XBBDWQC7SXJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L7JK6SUBXE6FSN5XBBDWQC7SXJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:L7JK6SUBXE6FSN5XBBDWQC7SXJ","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":"19598fda78f8818770823e6cd9e9eb889438e5d7b77454aabf0db507a6323fb9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-03-25T19:00:23Z","title_canon_sha256":"b7f4340c333a65f4f439999d45c776abb994b23b60b74b1115e2a8937b67eb0f"},"schema_version":"1.0","source":{"id":"1703.08732","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.08732","created_at":"2026-05-18T00:47:55Z"},{"alias_kind":"arxiv_version","alias_value":"1703.08732v1","created_at":"2026-05-18T00:47:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.08732","created_at":"2026-05-18T00:47:55Z"},{"alias_kind":"pith_short_12","alias_value":"L7JK6SUBXE6F","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"L7JK6SUBXE6FSN5X","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"L7JK6SUB","created_at":"2026-05-18T12:31:28Z"}],"graph_snapshots":[{"event_id":"sha256:440a9e9bf3fa24cb077c608eeab079fda624c64a7b3293569aa967701ed37085","target":"graph","created_at":"2026-05-18T00:47:55Z","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"},"paper":{"abstract_excerpt":"The query log of a DBMS is a powerful resource. It enables many practical applications, including query optimization and user experience enhancement. And yet, mining SQL queries is a difficult task. The fundamental problem is that queries are symbolic objects, not vectors of numbers. Therefore, many popular statistical concepts, such as means, regression, or decision trees do not apply. Most authors limit themselves to ad hoc algorithms or approaches based on neighborhoods, such as k Nearest Neighbors. Our project is to challenge this limitation. We introduce methods to manipulate SQL queries ","authors_text":"Martin Kersten, Thibault Sellam","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-03-25T19:00:23Z","title":"80 New Packages to Mine Database Query Logs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.08732","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:ceba9168d44db8914a7299d79cea9f14db686524f7c5907f1c8ad9313d16aeea","target":"record","created_at":"2026-05-18T00:47:55Z","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":"19598fda78f8818770823e6cd9e9eb889438e5d7b77454aabf0db507a6323fb9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-03-25T19:00:23Z","title_canon_sha256":"b7f4340c333a65f4f439999d45c776abb994b23b60b74b1115e2a8937b67eb0f"},"schema_version":"1.0","source":{"id":"1703.08732","kind":"arxiv","version":1}},"canonical_sha256":"5fd2af4a81b93c5937b70847680bf2ba5a12b0d1c9362f4e53105946bff5cad6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fd2af4a81b93c5937b70847680bf2ba5a12b0d1c9362f4e53105946bff5cad6","first_computed_at":"2026-05-18T00:47:55.743450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:55.743450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"55yfKYLXwnjWwnpMc4rNN2nIUxxkXcmzIQNIhcjedabo89B9CcF9Ys9rxt8oUYJdQz2Jg7z+Pkww/oBV2HTvCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:55.743986Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.08732","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ceba9168d44db8914a7299d79cea9f14db686524f7c5907f1c8ad9313d16aeea","sha256:440a9e9bf3fa24cb077c608eeab079fda624c64a7b3293569aa967701ed37085"],"state_sha256":"01185976b86f45adc17b4873a5026fae4aafc3dad1d145b3e8b84c6c77ab09d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cimv/W48E/mr+35S1AgM0fe2263yuBv7qabTOf/TcSZM/JsplCUtu3Ec4oTzxn1Ayxs15tv2ZzJ2wsbinkFcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T08:40:05.381079Z","bundle_sha256":"a186e024db3270d53e100c7b1f8cb6b0d82f354dd8f59a8b26db853816891265"}}