{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4UILOM2I3N6MR4TG272QUB676L","short_pith_number":"pith:4UILOM2I","canonical_record":{"source":{"id":"2206.02845","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-06-06T18:35:19Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d001a98249cab215b18aa9b06a73674d62940d2464229c7b18577eeaf763b4ad","abstract_canon_sha256":"51e7a8586d70a09b0d5159d2c5f52d5eb308ba2184add0c33d293fcc47dfcc50"},"schema_version":"1.0"},"canonical_sha256":"e510b73348db7cc8f266d7f50a07dff2dae11824aabbd92d00b6504308ddd36c","source":{"kind":"arxiv","id":"2206.02845","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02845","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02845v4","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02845","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"pith_short_12","alias_value":"4UILOM2I3N6M","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"pith_short_16","alias_value":"4UILOM2I3N6MR4TG","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"pith_short_8","alias_value":"4UILOM2I","created_at":"2026-07-05T05:16:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4UILOM2I3N6MR4TG272QUB676L","target":"record","payload":{"canonical_record":{"source":{"id":"2206.02845","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-06-06T18:35:19Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d001a98249cab215b18aa9b06a73674d62940d2464229c7b18577eeaf763b4ad","abstract_canon_sha256":"51e7a8586d70a09b0d5159d2c5f52d5eb308ba2184add0c33d293fcc47dfcc50"},"schema_version":"1.0"},"canonical_sha256":"e510b73348db7cc8f266d7f50a07dff2dae11824aabbd92d00b6504308ddd36c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:16:51.152136Z","signature_b64":"J4IcqyIWtTiKXcG2b3rwZLxxKVid8FWVQTPkGgB4kQiXPzWcuMkqlddIWopmMf18vHSAxYY52UM71ca4hT4GAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e510b73348db7cc8f266d7f50a07dff2dae11824aabbd92d00b6504308ddd36c","last_reissued_at":"2026-07-05T05:16:51.151660Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:16:51.151660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.02845","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:16:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V1r4W1cFaGMCrS174Va7utLKLJKjFAgPdGJ5fCxibFc9gtIbb+913NQkCOM2XUH2sfLy2RsR3WyhJcVc26+1Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:52:26.626910Z"},"content_sha256":"caadd3fed5bf84dc3f2af1e3b2eaa151b710cf540d37cb761af33bbfb93a251a","schema_version":"1.0","event_id":"sha256:caadd3fed5bf84dc3f2af1e3b2eaa151b710cf540d37cb761af33bbfb93a251a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4UILOM2I3N6MR4TG272QUB676L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Efficient Approximate Queries over Machine Learning Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DB","authors_text":"Dujian Ding, Laks VS Lakshmanan, Sihem Amer-Yahia","submitted_at":"2022-06-06T18:35:19Z","abstract_excerpt":"The question of answering queries over ML predictions has been gaining attention in the database community. This question is challenging because the cost of finding high quality answers corresponds to invoking an oracle such as a human expert or an expensive deep neural network model on every single item in the DB and then applying the query. We develop a novel unified framework for approximate query answering by leveraging a proxy to minimize the oracle usage of finding high quality answers for both Precision-Target (PT) and Recall-Target (RT) queries. Our framework uses a judicious combinati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02845","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2206.02845/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T05:16:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hLvgi25ZuupIa6mAapgX3IXfdv7kyv9neg3Edv4ZAy3MD2paOJ1ySQIeRMGqOZqNoOqF9QRyW8ejkYOyJObpDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:52:26.627465Z"},"content_sha256":"b68731013ec0f68feb60b612f62ed4ba421d0e67c309c8b7ef470c2bf3f6116c","schema_version":"1.0","event_id":"sha256:b68731013ec0f68feb60b612f62ed4ba421d0e67c309c8b7ef470c2bf3f6116c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4UILOM2I3N6MR4TG272QUB676L/bundle.json","state_url":"https://pith.science/pith/4UILOM2I3N6MR4TG272QUB676L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4UILOM2I3N6MR4TG272QUB676L/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":"2026-07-31T16:52:26Z","links":{"resolver":"https://pith.science/pith/4UILOM2I3N6MR4TG272QUB676L","bundle":"https://pith.science/pith/4UILOM2I3N6MR4TG272QUB676L/bundle.json","state":"https://pith.science/pith/4UILOM2I3N6MR4TG272QUB676L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4UILOM2I3N6MR4TG272QUB676L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4UILOM2I3N6MR4TG272QUB676L","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":"51e7a8586d70a09b0d5159d2c5f52d5eb308ba2184add0c33d293fcc47dfcc50","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-06-06T18:35:19Z","title_canon_sha256":"d001a98249cab215b18aa9b06a73674d62940d2464229c7b18577eeaf763b4ad"},"schema_version":"1.0","source":{"id":"2206.02845","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02845","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02845v4","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02845","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"pith_short_12","alias_value":"4UILOM2I3N6M","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"pith_short_16","alias_value":"4UILOM2I3N6MR4TG","created_at":"2026-07-05T05:16:51Z"},{"alias_kind":"pith_short_8","alias_value":"4UILOM2I","created_at":"2026-07-05T05:16:51Z"}],"graph_snapshots":[{"event_id":"sha256:b68731013ec0f68feb60b612f62ed4ba421d0e67c309c8b7ef470c2bf3f6116c","target":"graph","created_at":"2026-07-05T05:16:51Z","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/2206.02845/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The question of answering queries over ML predictions has been gaining attention in the database community. This question is challenging because the cost of finding high quality answers corresponds to invoking an oracle such as a human expert or an expensive deep neural network model on every single item in the DB and then applying the query. We develop a novel unified framework for approximate query answering by leveraging a proxy to minimize the oracle usage of finding high quality answers for both Precision-Target (PT) and Recall-Target (RT) queries. Our framework uses a judicious combinati","authors_text":"Dujian Ding, Laks VS Lakshmanan, Sihem Amer-Yahia","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-06-06T18:35:19Z","title":"On Efficient Approximate Queries over Machine Learning Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02845","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:caadd3fed5bf84dc3f2af1e3b2eaa151b710cf540d37cb761af33bbfb93a251a","target":"record","created_at":"2026-07-05T05:16:51Z","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":"51e7a8586d70a09b0d5159d2c5f52d5eb308ba2184add0c33d293fcc47dfcc50","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-06-06T18:35:19Z","title_canon_sha256":"d001a98249cab215b18aa9b06a73674d62940d2464229c7b18577eeaf763b4ad"},"schema_version":"1.0","source":{"id":"2206.02845","kind":"arxiv","version":4}},"canonical_sha256":"e510b73348db7cc8f266d7f50a07dff2dae11824aabbd92d00b6504308ddd36c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e510b73348db7cc8f266d7f50a07dff2dae11824aabbd92d00b6504308ddd36c","first_computed_at":"2026-07-05T05:16:51.151660Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:16:51.151660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J4IcqyIWtTiKXcG2b3rwZLxxKVid8FWVQTPkGgB4kQiXPzWcuMkqlddIWopmMf18vHSAxYY52UM71ca4hT4GAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:16:51.152136Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.02845","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:caadd3fed5bf84dc3f2af1e3b2eaa151b710cf540d37cb761af33bbfb93a251a","sha256:b68731013ec0f68feb60b612f62ed4ba421d0e67c309c8b7ef470c2bf3f6116c"],"state_sha256":"37c56c42548cd5c2ab74248c9ab8d2b9346b1cc02239b6f4bf9650d203aad63b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mjTSW3crShlcklfEhhw4SWWMGVA48sYJvbw3Nj9ol4PSzBGcDZWyPSo49sYHHOIh+9Qesa4nd3xwmQgVY1k8Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T16:52:26.632212Z","bundle_sha256":"4a56942acb611179bfeb5aa9266bdf76f7f4c97170ef36b252efdcb868ff8751"}}