{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:CTQURFABL7XPBHNAYBEN5JX7DQ","short_pith_number":"pith:CTQURFAB","canonical_record":{"source":{"id":"1909.00659","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-02T10:50:14Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"835ffddecbcdacb61ef19c2b1790e8293e59115fb9d3bfdeb1f12625e7d081ee","abstract_canon_sha256":"97998690f931631473f08f48c1236b12e67094197c795e65d4f22523b663a87c"},"schema_version":"1.0"},"canonical_sha256":"14e14894015feef09da0c048dea6ff1c05b81adce6474bc448517b6bd24cafc0","source":{"kind":"arxiv","id":"1909.00659","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.00659","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"arxiv_version","alias_value":"1909.00659v2","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.00659","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"pith_short_12","alias_value":"CTQURFABL7XP","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"pith_short_16","alias_value":"CTQURFABL7XPBHNA","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"pith_short_8","alias_value":"CTQURFAB","created_at":"2026-07-05T11:49:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:CTQURFABL7XPBHNAYBEN5JX7DQ","target":"record","payload":{"canonical_record":{"source":{"id":"1909.00659","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-02T10:50:14Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"835ffddecbcdacb61ef19c2b1790e8293e59115fb9d3bfdeb1f12625e7d081ee","abstract_canon_sha256":"97998690f931631473f08f48c1236b12e67094197c795e65d4f22523b663a87c"},"schema_version":"1.0"},"canonical_sha256":"14e14894015feef09da0c048dea6ff1c05b81adce6474bc448517b6bd24cafc0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:42.317801Z","signature_b64":"IjX9qZsn81CPQ38z8xFp0Qav3Hzdm/t3GEDScurNI0C3fjc6nJn4+D2INLq34mLRlLhMPwghUQHp97pgoL5IBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14e14894015feef09da0c048dea6ff1c05b81adce6474bc448517b6bd24cafc0","last_reissued_at":"2026-07-05T11:49:42.317353Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:42.317353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.00659","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":"2026-07-05T11:49:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aeGyJgZbI6PD+7xq8+MWC1M8XZszAu5iZnnM117HP6SAjiWMIPkrXtq/ey8u43kYrqZoPXoCMmPmBCbqmbO6Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T08:32:59.426046Z"},"content_sha256":"d79a15d77d2f44001f436e1fef52df06ce058b9576ea2782be7f6d6b451516e5","schema_version":"1.0","event_id":"sha256:d79a15d77d2f44001f436e1fef52df06ce058b9576ea2782be7f6d6b451516e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:CTQURFABL7XPBHNAYBEN5JX7DQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Guided Random Forest and its application to data approximation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Aashi Jindal, Debarka Sengupta, Jayadeva, Prashant Gupta","submitted_at":"2019-09-02T10:50:14Z","abstract_excerpt":"We present a new way of constructing an ensemble classifier, named the Guided Random Forest (GRAF) in the sequel. GRAF extends the idea of building oblique decision trees with localized partitioning to obtain a global partitioning. We show that global partitioning bridges the gap between decision trees and boosting algorithms. We empirically demonstrate that global partitioning reduces the generalization error bound. Results on 115 benchmark datasets show that GRAF yields comparable or better results on a majority of datasets. We also present a new way of approximating the datasets in the fram"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.00659","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/1909.00659/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":"2026-07-05T11:49:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XpDMt+MBsHIkxTO5XBfJ8pJt9Y6ZQGuuxZn6OycN0w1UBnf6XpyWLkGNXTWaRc9V48KK8CCGYuBvN8qrK7L8AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T08:32:59.426683Z"},"content_sha256":"fb9cea23bb1b70527b8e5084e914f86d757cb9c99c679bcd0ff7ff24fab4c585","schema_version":"1.0","event_id":"sha256:fb9cea23bb1b70527b8e5084e914f86d757cb9c99c679bcd0ff7ff24fab4c585"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CTQURFABL7XPBHNAYBEN5JX7DQ/bundle.json","state_url":"https://pith.science/pith/CTQURFABL7XPBHNAYBEN5JX7DQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CTQURFABL7XPBHNAYBEN5JX7DQ/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":"2026-08-21T08:32:59Z","links":{"resolver":"https://pith.science/pith/CTQURFABL7XPBHNAYBEN5JX7DQ","bundle":"https://pith.science/pith/CTQURFABL7XPBHNAYBEN5JX7DQ/bundle.json","state":"https://pith.science/pith/CTQURFABL7XPBHNAYBEN5JX7DQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CTQURFABL7XPBHNAYBEN5JX7DQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CTQURFABL7XPBHNAYBEN5JX7DQ","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":"97998690f931631473f08f48c1236b12e67094197c795e65d4f22523b663a87c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-02T10:50:14Z","title_canon_sha256":"835ffddecbcdacb61ef19c2b1790e8293e59115fb9d3bfdeb1f12625e7d081ee"},"schema_version":"1.0","source":{"id":"1909.00659","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.00659","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"arxiv_version","alias_value":"1909.00659v2","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.00659","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"pith_short_12","alias_value":"CTQURFABL7XP","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"pith_short_16","alias_value":"CTQURFABL7XPBHNA","created_at":"2026-07-05T11:49:42Z"},{"alias_kind":"pith_short_8","alias_value":"CTQURFAB","created_at":"2026-07-05T11:49:42Z"}],"graph_snapshots":[{"event_id":"sha256:fb9cea23bb1b70527b8e5084e914f86d757cb9c99c679bcd0ff7ff24fab4c585","target":"graph","created_at":"2026-07-05T11:49:42Z","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/1909.00659/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a new way of constructing an ensemble classifier, named the Guided Random Forest (GRAF) in the sequel. GRAF extends the idea of building oblique decision trees with localized partitioning to obtain a global partitioning. We show that global partitioning bridges the gap between decision trees and boosting algorithms. We empirically demonstrate that global partitioning reduces the generalization error bound. Results on 115 benchmark datasets show that GRAF yields comparable or better results on a majority of datasets. We also present a new way of approximating the datasets in the fram","authors_text":"Aashi Jindal, Debarka Sengupta, Jayadeva, Prashant Gupta","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-02T10:50:14Z","title":"Guided Random Forest and its application to data approximation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.00659","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:d79a15d77d2f44001f436e1fef52df06ce058b9576ea2782be7f6d6b451516e5","target":"record","created_at":"2026-07-05T11:49:42Z","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":"97998690f931631473f08f48c1236b12e67094197c795e65d4f22523b663a87c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-02T10:50:14Z","title_canon_sha256":"835ffddecbcdacb61ef19c2b1790e8293e59115fb9d3bfdeb1f12625e7d081ee"},"schema_version":"1.0","source":{"id":"1909.00659","kind":"arxiv","version":2}},"canonical_sha256":"14e14894015feef09da0c048dea6ff1c05b81adce6474bc448517b6bd24cafc0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14e14894015feef09da0c048dea6ff1c05b81adce6474bc448517b6bd24cafc0","first_computed_at":"2026-07-05T11:49:42.317353Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:42.317353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IjX9qZsn81CPQ38z8xFp0Qav3Hzdm/t3GEDScurNI0C3fjc6nJn4+D2INLq34mLRlLhMPwghUQHp97pgoL5IBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:42.317801Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.00659","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d79a15d77d2f44001f436e1fef52df06ce058b9576ea2782be7f6d6b451516e5","sha256:fb9cea23bb1b70527b8e5084e914f86d757cb9c99c679bcd0ff7ff24fab4c585"],"state_sha256":"240a3b719dd5196739b3bbaf953f1da89bf27dc456659e2d5c91a02d5b1e4659"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nozPRpCcaaYpVUlF3TaYEILvaO8O9ZbbJYtH7ynBqmMajtyas38/CfsBqihWtpzK1uzMYRfq9NfPFb4tYY4mBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T08:32:59.431331Z","bundle_sha256":"d28e03bb080703332f744ca8d8b7d7a2300a4c2d0998c54f8d791b0b499f0602"}}