{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:IYBMOFFW2KD2AJKVPJH6VA4EVP","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":"703929e3196072de407d02c2af1af31fab4e9046c2ca0bbcf380a6c6f4b84a51","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-10-02T18:38:11Z","title_canon_sha256":"5302e608de0b6b27dc1043be8610e118c9a1738b924ff4cccb6d2aa07c4857c7"},"schema_version":"1.0","source":{"id":"1410.0640","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1410.0640","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"arxiv_version","alias_value":"1410.0640v3","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.0640","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"pith_short_12","alias_value":"IYBMOFFW2KD2","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"IYBMOFFW2KD2AJKV","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"IYBMOFFW","created_at":"2026-05-18T12:28:33Z"}],"graph_snapshots":[{"event_id":"sha256:1e6022a99778b756a90dd27713743e40c92b5033a5b9144a2c7e7ead8b8e4276","target":"graph","created_at":"2026-05-18T02:41:01Z","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":"This paper describes a novel approach to learning term-weighting schemes (TWSs) in the context of text classification. In text mining a TWS determines the way in which documents will be represented in a vector space model, before applying a classifier. Whereas acceptable performance has been obtained with standard TWSs (e.g., Boolean and term-frequency schemes), the definition of TWSs has been traditionally an art. Further, it is still a difficult task to determine what is the best TWS for a particular problem and it is not clear yet, whether better schemes, than those currently available, can","authors_text":"Alicia Morales-Reyes, Eduardo F. Morales, Hugo Jair Escalante, Manuel Montes-y-G\\'omez, Mario Graff, Mauricio A. Garc\\'ia-Lim\\'on","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-10-02T18:38:11Z","title":"Term-Weighting Learning via Genetic Programming for Text Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.0640","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:cb2d488e732f13eb6e09c9ca6e9bca634545c742cb1fb19e7414c184de7f77a8","target":"record","created_at":"2026-05-18T02:41:01Z","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":"703929e3196072de407d02c2af1af31fab4e9046c2ca0bbcf380a6c6f4b84a51","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-10-02T18:38:11Z","title_canon_sha256":"5302e608de0b6b27dc1043be8610e118c9a1738b924ff4cccb6d2aa07c4857c7"},"schema_version":"1.0","source":{"id":"1410.0640","kind":"arxiv","version":3}},"canonical_sha256":"4602c714b6d287a025557a4fea8384abd1cccc6a49c9c5bc3774e4ae329ab97c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4602c714b6d287a025557a4fea8384abd1cccc6a49c9c5bc3774e4ae329ab97c","first_computed_at":"2026-05-18T02:41:01.628112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:41:01.628112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xcVhPxZBOyBmWMiPrIxRFignYbrNKnTTuQ7GscwjnIl01/cN77O0vYVQZ8kkIH7RoOGmfEBcM+hcFQcZBqytDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:41:01.628724Z","signed_message":"canonical_sha256_bytes"},"source_id":"1410.0640","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb2d488e732f13eb6e09c9ca6e9bca634545c742cb1fb19e7414c184de7f77a8","sha256:1e6022a99778b756a90dd27713743e40c92b5033a5b9144a2c7e7ead8b8e4276"],"state_sha256":"dee0aefb3f85b507df30871c2ce6e40821ed1b99d70e348378551075d2cf42d0"}