{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:V5HM7KVPP2HYCX7T5S2DU7BN6Q","short_pith_number":"pith:V5HM7KVP","canonical_record":{"source":{"id":"2401.00961","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-01T21:41:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"196f4f5a7e51c8c70fabcc4e1876f332d8257ece58ffd786b59ee8637a5aa1b8","abstract_canon_sha256":"a02d780a7d1c3b437d25abd93228b5002c25ef108cff83911f685111731b6959"},"schema_version":"1.0"},"canonical_sha256":"af4ecfaaaf7e8f815ff3ecb43a7c2df43b7ea91c86bb08971a4113e78ae3d08c","source":{"kind":"arxiv","id":"2401.00961","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00961","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00961v2","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00961","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"pith_short_12","alias_value":"V5HM7KVPP2HY","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"pith_short_16","alias_value":"V5HM7KVPP2HYCX7T","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"pith_short_8","alias_value":"V5HM7KVP","created_at":"2026-07-05T08:24:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:V5HM7KVPP2HYCX7T5S2DU7BN6Q","target":"record","payload":{"canonical_record":{"source":{"id":"2401.00961","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-01T21:41:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"196f4f5a7e51c8c70fabcc4e1876f332d8257ece58ffd786b59ee8637a5aa1b8","abstract_canon_sha256":"a02d780a7d1c3b437d25abd93228b5002c25ef108cff83911f685111731b6959"},"schema_version":"1.0"},"canonical_sha256":"af4ecfaaaf7e8f815ff3ecb43a7c2df43b7ea91c86bb08971a4113e78ae3d08c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:24:23.547771Z","signature_b64":"n1LWxTj2p1FyzES2djcKbDxEIBSzzVOwa6xFWaJ8F/a1MvvBmd5jUMU0wmPZTxCU5ugINFu6NwW+VrB3/BeGCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af4ecfaaaf7e8f815ff3ecb43a7c2df43b7ea91c86bb08971a4113e78ae3d08c","last_reissued_at":"2026-07-05T08:24:23.547277Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:24:23.547277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.00961","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:24:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6JzLv8r7iHp5XuKinYCQyQZG3Sl3XHPCbFxp6DHWYlFJJUVx4R8uV8L7cNc1nK9H9gn1lS9MXWhTwORmyPXGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:32:02.719347Z"},"content_sha256":"b2e3d6d60a5238031d79c944a8c94fcae23e7422126776e1d8fc7de3bad67c0e","schema_version":"1.0","event_id":"sha256:b2e3d6d60a5238031d79c944a8c94fcae23e7422126776e1d8fc7de3bad67c0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:V5HM7KVPP2HYCX7T5S2DU7BN6Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Model Selection for Tabular Data","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Avinash Amballa, Gayathri Akkinapalli, Manas Madine, Naga Pavana Priya Yarrabolu, Przemyslaw A. Grabowicz","submitted_at":"2024-01-01T21:41:20Z","abstract_excerpt":"Structured data in the form of tabular datasets contain features that are distinct and discrete, with varying individual and relative importances to the target. Combinations of one or more features may be more predictive and meaningful than simple individual feature contributions. R's mixed effect linear models library allows users to provide such interactive feature combinations in the model design. However, given many features and possible interactions to select from, model selection becomes an exponentially difficult task. We aim to automate the model selection process for predictions on ta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00961","kind":"arxiv","version":2},"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/2401.00961/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":"2026-07-05T08:24:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PeEKaxBhG3PwOv3Pj0XEBibngZ0f4j0CuOwhva1PgnbHhtRdDv6aHDfV0mxwMD8SPFxGd9F/NdsH9aBepkk/BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:32:02.719895Z"},"content_sha256":"a75f71990056a6d18284ac0a462fc5d12750c608d747ded1dd134c467d128ffd","schema_version":"1.0","event_id":"sha256:a75f71990056a6d18284ac0a462fc5d12750c608d747ded1dd134c467d128ffd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V5HM7KVPP2HYCX7T5S2DU7BN6Q/bundle.json","state_url":"https://pith.science/pith/V5HM7KVPP2HYCX7T5S2DU7BN6Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V5HM7KVPP2HYCX7T5S2DU7BN6Q/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":"2026-08-05T06:32:02Z","links":{"resolver":"https://pith.science/pith/V5HM7KVPP2HYCX7T5S2DU7BN6Q","bundle":"https://pith.science/pith/V5HM7KVPP2HYCX7T5S2DU7BN6Q/bundle.json","state":"https://pith.science/pith/V5HM7KVPP2HYCX7T5S2DU7BN6Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V5HM7KVPP2HYCX7T5S2DU7BN6Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:V5HM7KVPP2HYCX7T5S2DU7BN6Q","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":"a02d780a7d1c3b437d25abd93228b5002c25ef108cff83911f685111731b6959","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-01T21:41:20Z","title_canon_sha256":"196f4f5a7e51c8c70fabcc4e1876f332d8257ece58ffd786b59ee8637a5aa1b8"},"schema_version":"1.0","source":{"id":"2401.00961","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00961","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00961v2","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00961","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"pith_short_12","alias_value":"V5HM7KVPP2HY","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"pith_short_16","alias_value":"V5HM7KVPP2HYCX7T","created_at":"2026-07-05T08:24:23Z"},{"alias_kind":"pith_short_8","alias_value":"V5HM7KVP","created_at":"2026-07-05T08:24:23Z"}],"graph_snapshots":[{"event_id":"sha256:a75f71990056a6d18284ac0a462fc5d12750c608d747ded1dd134c467d128ffd","target":"graph","created_at":"2026-07-05T08:24:23Z","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/2401.00961/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Structured data in the form of tabular datasets contain features that are distinct and discrete, with varying individual and relative importances to the target. Combinations of one or more features may be more predictive and meaningful than simple individual feature contributions. R's mixed effect linear models library allows users to provide such interactive feature combinations in the model design. However, given many features and possible interactions to select from, model selection becomes an exponentially difficult task. We aim to automate the model selection process for predictions on ta","authors_text":"Avinash Amballa, Gayathri Akkinapalli, Manas Madine, Naga Pavana Priya Yarrabolu, Przemyslaw A. Grabowicz","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-01T21:41:20Z","title":"Automated Model Selection for Tabular Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00961","kind":"arxiv","version":2},"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:b2e3d6d60a5238031d79c944a8c94fcae23e7422126776e1d8fc7de3bad67c0e","target":"record","created_at":"2026-07-05T08:24:23Z","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":"a02d780a7d1c3b437d25abd93228b5002c25ef108cff83911f685111731b6959","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-01T21:41:20Z","title_canon_sha256":"196f4f5a7e51c8c70fabcc4e1876f332d8257ece58ffd786b59ee8637a5aa1b8"},"schema_version":"1.0","source":{"id":"2401.00961","kind":"arxiv","version":2}},"canonical_sha256":"af4ecfaaaf7e8f815ff3ecb43a7c2df43b7ea91c86bb08971a4113e78ae3d08c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af4ecfaaaf7e8f815ff3ecb43a7c2df43b7ea91c86bb08971a4113e78ae3d08c","first_computed_at":"2026-07-05T08:24:23.547277Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:23.547277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n1LWxTj2p1FyzES2djcKbDxEIBSzzVOwa6xFWaJ8F/a1MvvBmd5jUMU0wmPZTxCU5ugINFu6NwW+VrB3/BeGCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:23.547771Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00961","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2e3d6d60a5238031d79c944a8c94fcae23e7422126776e1d8fc7de3bad67c0e","sha256:a75f71990056a6d18284ac0a462fc5d12750c608d747ded1dd134c467d128ffd"],"state_sha256":"16defa4911c05788c4e396130006a51ba37f2c422b59cb2cb057e984a5d5faf5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FsaUxTzrz+lt6JzqTfw9zhfGsIv/hmuyUcqVySer+5ajWvr5Y1TjzbjpQjuy2J6DmB4FKvOSJY7KJ6k1Zg7CDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:32:02.725386Z","bundle_sha256":"aaad2e4536026dc3c1863ccb1b84c9fd74d974aefbc6b963041b05ac38891287"}}