{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ELPDYRTVDIX4BZ644N7IWZ2R6Y","short_pith_number":"pith:ELPDYRTV","canonical_record":{"source":{"id":"2309.07856","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2023-09-14T17:00:53Z","cross_cats_sorted":[],"title_canon_sha256":"e3d89b73488444d8efa79d7760d77defd00a60be996e8ea160f3526b0c2d1fcf","abstract_canon_sha256":"59fc3904cfc598c57af95cc9b7391efdba2ce658dc46983657cbf2878a413af4"},"schema_version":"1.0"},"canonical_sha256":"22de3c46751a2fc0e7dce37e8b6751f63c0a20edfcd1bb79374911ecf36c0d5d","source":{"kind":"arxiv","id":"2309.07856","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.07856","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"arxiv_version","alias_value":"2309.07856v3","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.07856","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"pith_short_12","alias_value":"ELPDYRTVDIX4","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"pith_short_16","alias_value":"ELPDYRTVDIX4BZ64","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"pith_short_8","alias_value":"ELPDYRTV","created_at":"2026-07-05T09:49:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ELPDYRTVDIX4BZ644N7IWZ2R6Y","target":"record","payload":{"canonical_record":{"source":{"id":"2309.07856","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2023-09-14T17:00:53Z","cross_cats_sorted":[],"title_canon_sha256":"e3d89b73488444d8efa79d7760d77defd00a60be996e8ea160f3526b0c2d1fcf","abstract_canon_sha256":"59fc3904cfc598c57af95cc9b7391efdba2ce658dc46983657cbf2878a413af4"},"schema_version":"1.0"},"canonical_sha256":"22de3c46751a2fc0e7dce37e8b6751f63c0a20edfcd1bb79374911ecf36c0d5d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:49:00.258555Z","signature_b64":"xtlF2Y/xxdOUAAERJ04ty6rM5KFRn1AescjIGm5hEhX/3LQDAvoLcxwMXkH9PBMLtzKUKCT9T28yqGj+GmzCCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22de3c46751a2fc0e7dce37e8b6751f63c0a20edfcd1bb79374911ecf36c0d5d","last_reissued_at":"2026-07-05T09:49:00.258111Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:49:00.258111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.07856","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:49:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mo9LXuG/SMmt9tdyPwx26cOvtabQj7BQiPLHiDljRonAJWJBUl4PEIUaScj8cidfWqyIWr8JYv57AJa+NcQlCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:03:25.997073Z"},"content_sha256":"401d9f6f41534514756b51fda560d24bc8b40c22894c2a4bbfe818b0cf997c38","schema_version":"1.0","event_id":"sha256:401d9f6f41534514756b51fda560d24bc8b40c22894c2a4bbfe818b0cf997c38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ELPDYRTVDIX4BZ644N7IWZ2R6Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Bolin Ding, H. V. Jagadish, Jingren Zhou, Yin Lin","submitted_at":"2023-09-14T17:00:53Z","abstract_excerpt":"Before applying data analytics or machine learning to a data set, a vital step is usually the construction of an informative set of features from the data. In this paper, we present SMARTFEAT, an efficient automated feature engineering tool to assist data users, even non-experts, in constructing useful features. Leveraging the power of Foundation Models (FMs), our approach enables the creation of new features from the data, based on contextual information and open-world knowledge. Our method incorporates an intelligent operator selector that discerns a subset of operators, effectively avoiding"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.07856","kind":"arxiv","version":3},"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/2309.07856/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":"2026-07-05T09:49:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PhC1LCdB1xA1x8gMw1tETRazCoO4PuxMQTp3UzaFBLfFIchIMpSlFF62ZiO7CejgM4bju5n3XSpymLg9z+VlAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:03:25.997989Z"},"content_sha256":"b6c81abe73c314661c1b9b21a2e55a7c898ab6521880df0970bd6616b5bfd771","schema_version":"1.0","event_id":"sha256:b6c81abe73c314661c1b9b21a2e55a7c898ab6521880df0970bd6616b5bfd771"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ELPDYRTVDIX4BZ644N7IWZ2R6Y/bundle.json","state_url":"https://pith.science/pith/ELPDYRTVDIX4BZ644N7IWZ2R6Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ELPDYRTVDIX4BZ644N7IWZ2R6Y/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":"2026-08-05T01:03:26Z","links":{"resolver":"https://pith.science/pith/ELPDYRTVDIX4BZ644N7IWZ2R6Y","bundle":"https://pith.science/pith/ELPDYRTVDIX4BZ644N7IWZ2R6Y/bundle.json","state":"https://pith.science/pith/ELPDYRTVDIX4BZ644N7IWZ2R6Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ELPDYRTVDIX4BZ644N7IWZ2R6Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ELPDYRTVDIX4BZ644N7IWZ2R6Y","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":"59fc3904cfc598c57af95cc9b7391efdba2ce658dc46983657cbf2878a413af4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2023-09-14T17:00:53Z","title_canon_sha256":"e3d89b73488444d8efa79d7760d77defd00a60be996e8ea160f3526b0c2d1fcf"},"schema_version":"1.0","source":{"id":"2309.07856","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.07856","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"arxiv_version","alias_value":"2309.07856v3","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.07856","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"pith_short_12","alias_value":"ELPDYRTVDIX4","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"pith_short_16","alias_value":"ELPDYRTVDIX4BZ64","created_at":"2026-07-05T09:49:00Z"},{"alias_kind":"pith_short_8","alias_value":"ELPDYRTV","created_at":"2026-07-05T09:49:00Z"}],"graph_snapshots":[{"event_id":"sha256:b6c81abe73c314661c1b9b21a2e55a7c898ab6521880df0970bd6616b5bfd771","target":"graph","created_at":"2026-07-05T09:49:00Z","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/2309.07856/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Before applying data analytics or machine learning to a data set, a vital step is usually the construction of an informative set of features from the data. In this paper, we present SMARTFEAT, an efficient automated feature engineering tool to assist data users, even non-experts, in constructing useful features. Leveraging the power of Foundation Models (FMs), our approach enables the creation of new features from the data, based on contextual information and open-world knowledge. Our method incorporates an intelligent operator selector that discerns a subset of operators, effectively avoiding","authors_text":"Bolin Ding, H. V. Jagadish, Jingren Zhou, Yin Lin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2023-09-14T17:00:53Z","title":"SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.07856","kind":"arxiv","version":3},"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":"sha256:401d9f6f41534514756b51fda560d24bc8b40c22894c2a4bbfe818b0cf997c38","target":"record","created_at":"2026-07-05T09:49:00Z","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":"59fc3904cfc598c57af95cc9b7391efdba2ce658dc46983657cbf2878a413af4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2023-09-14T17:00:53Z","title_canon_sha256":"e3d89b73488444d8efa79d7760d77defd00a60be996e8ea160f3526b0c2d1fcf"},"schema_version":"1.0","source":{"id":"2309.07856","kind":"arxiv","version":3}},"canonical_sha256":"22de3c46751a2fc0e7dce37e8b6751f63c0a20edfcd1bb79374911ecf36c0d5d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22de3c46751a2fc0e7dce37e8b6751f63c0a20edfcd1bb79374911ecf36c0d5d","first_computed_at":"2026-07-05T09:49:00.258111Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:00.258111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xtlF2Y/xxdOUAAERJ04ty6rM5KFRn1AescjIGm5hEhX/3LQDAvoLcxwMXkH9PBMLtzKUKCT9T28yqGj+GmzCCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:00.258555Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.07856","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:401d9f6f41534514756b51fda560d24bc8b40c22894c2a4bbfe818b0cf997c38","sha256:b6c81abe73c314661c1b9b21a2e55a7c898ab6521880df0970bd6616b5bfd771"],"state_sha256":"fe6cf4345fc278ae511bf86f11fb801780d3c48a5b21a113657ba70c67627ef5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KgvLYD/BmgAAHTop5utV3BUSNLafdfCgVxUvuDjV5AP4If7RJPV0TMAZjwHmdkqO6rhQsLd8/PSeWnOnlsMUBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T01:03:26.007446Z","bundle_sha256":"0c89fc89b74b5b72303ac29bfb9169290f6799e8881af19253cfa66a81466a21"}}