{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GEBAYOLTLLJFSJPPZBGP3HIEZ3","short_pith_number":"pith:GEBAYOLT","canonical_record":{"source":{"id":"2206.12983","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-26T22:02:53Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8cb87475e05ec4ceb2e290acf750ac40262632addd9689a419db0559441079a6","abstract_canon_sha256":"5033fc97cbd3aabf09606b58985be3ddb939d1de26c8383212f66aa1633efa4d"},"schema_version":"1.0"},"canonical_sha256":"31020c39735ad25925efc84cfd9d04ceedbf109dc673a2329d55e79f2d5a843f","source":{"kind":"arxiv","id":"2206.12983","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.12983","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"arxiv_version","alias_value":"2206.12983v2","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.12983","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"pith_short_12","alias_value":"GEBAYOLTLLJF","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"pith_short_16","alias_value":"GEBAYOLTLLJFSJPP","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"pith_short_8","alias_value":"GEBAYOLT","created_at":"2026-07-05T06:53:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GEBAYOLTLLJFSJPPZBGP3HIEZ3","target":"record","payload":{"canonical_record":{"source":{"id":"2206.12983","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-26T22:02:53Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8cb87475e05ec4ceb2e290acf750ac40262632addd9689a419db0559441079a6","abstract_canon_sha256":"5033fc97cbd3aabf09606b58985be3ddb939d1de26c8383212f66aa1633efa4d"},"schema_version":"1.0"},"canonical_sha256":"31020c39735ad25925efc84cfd9d04ceedbf109dc673a2329d55e79f2d5a843f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:53:30.344435Z","signature_b64":"XBQ0dOzGZK6RrmAOvbKAIAzX8ObGv8BCmIs9vmjLeQuj6FcC7TPCpLrTxXWsZZ8+TUTV77tY97e84ekNxVukAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31020c39735ad25925efc84cfd9d04ceedbf109dc673a2329d55e79f2d5a843f","last_reissued_at":"2026-07-05T06:53:30.343925Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:53:30.343925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.12983","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":"2026-07-05T06:53:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zd4Hbz+yvlwsywalU03w2trJ3vDCCJ2BUgsls/TwRDIdM1JnEg+eeUG6R5L1Sefl+Nb0AQqUEQZeQL+0hcO8Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T13:46:34.174966Z"},"content_sha256":"acbc3b70196889e2e13299f968134dba1e497f5f73a2284052f38ff4922ee2fb","schema_version":"1.0","event_id":"sha256:acbc3b70196889e2e13299f968134dba1e497f5f73a2284052f38ff4922ee2fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GEBAYOLTLLJFSJPPZBGP3HIEZ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explainable and High-Performance Hate and Offensive Speech Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Gurram Poorna Prudhvi, Keyu Chen, Marzieh Babaeianjelodar, Navin Kumar, Soumyabrata Dey, Stephen Lorenz, Sumona Mondal","submitted_at":"2022-06-26T22:02:53Z","abstract_excerpt":"The spread of information through social media platforms can create environments possibly hostile to vulnerable communities and silence certain groups in society. To mitigate such instances, several models have been developed to detect hate and offensive speech. Since detecting hate and offensive speech in social media platforms could incorrectly exclude individuals from social media platforms, which can reduce trust, there is a need to create explainable and interpretable models. Thus, we build an explainable and interpretable high performance model based on the XGBoost algorithm, trained on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.12983","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/2206.12983/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":"2026-07-05T06:53:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1z22hVu4t+xZrmHKyUNoKuVZKz/XagniphUdOPHLs1AxwsDlE0ak8udy0fFSdo7LvQU6fhZHw5IybV9YVrkoDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T13:46:34.175360Z"},"content_sha256":"215c3bc4142400bd1d1fd7e9f4f34e0e7ebdd9c17190c79cffd1ba54f684ba1b","schema_version":"1.0","event_id":"sha256:215c3bc4142400bd1d1fd7e9f4f34e0e7ebdd9c17190c79cffd1ba54f684ba1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GEBAYOLTLLJFSJPPZBGP3HIEZ3/bundle.json","state_url":"https://pith.science/pith/GEBAYOLTLLJFSJPPZBGP3HIEZ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GEBAYOLTLLJFSJPPZBGP3HIEZ3/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":"2026-07-10T13:46:34Z","links":{"resolver":"https://pith.science/pith/GEBAYOLTLLJFSJPPZBGP3HIEZ3","bundle":"https://pith.science/pith/GEBAYOLTLLJFSJPPZBGP3HIEZ3/bundle.json","state":"https://pith.science/pith/GEBAYOLTLLJFSJPPZBGP3HIEZ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GEBAYOLTLLJFSJPPZBGP3HIEZ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GEBAYOLTLLJFSJPPZBGP3HIEZ3","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":"5033fc97cbd3aabf09606b58985be3ddb939d1de26c8383212f66aa1633efa4d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-26T22:02:53Z","title_canon_sha256":"8cb87475e05ec4ceb2e290acf750ac40262632addd9689a419db0559441079a6"},"schema_version":"1.0","source":{"id":"2206.12983","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.12983","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"arxiv_version","alias_value":"2206.12983v2","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.12983","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"pith_short_12","alias_value":"GEBAYOLTLLJF","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"pith_short_16","alias_value":"GEBAYOLTLLJFSJPP","created_at":"2026-07-05T06:53:30Z"},{"alias_kind":"pith_short_8","alias_value":"GEBAYOLT","created_at":"2026-07-05T06:53:30Z"}],"graph_snapshots":[{"event_id":"sha256:215c3bc4142400bd1d1fd7e9f4f34e0e7ebdd9c17190c79cffd1ba54f684ba1b","target":"graph","created_at":"2026-07-05T06:53:30Z","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/2206.12983/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The spread of information through social media platforms can create environments possibly hostile to vulnerable communities and silence certain groups in society. To mitigate such instances, several models have been developed to detect hate and offensive speech. Since detecting hate and offensive speech in social media platforms could incorrectly exclude individuals from social media platforms, which can reduce trust, there is a need to create explainable and interpretable models. Thus, we build an explainable and interpretable high performance model based on the XGBoost algorithm, trained on ","authors_text":"Gurram Poorna Prudhvi, Keyu Chen, Marzieh Babaeianjelodar, Navin Kumar, Soumyabrata Dey, Stephen Lorenz, Sumona Mondal","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-26T22:02:53Z","title":"Explainable and High-Performance Hate and Offensive Speech Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.12983","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:acbc3b70196889e2e13299f968134dba1e497f5f73a2284052f38ff4922ee2fb","target":"record","created_at":"2026-07-05T06:53:30Z","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":"5033fc97cbd3aabf09606b58985be3ddb939d1de26c8383212f66aa1633efa4d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-26T22:02:53Z","title_canon_sha256":"8cb87475e05ec4ceb2e290acf750ac40262632addd9689a419db0559441079a6"},"schema_version":"1.0","source":{"id":"2206.12983","kind":"arxiv","version":2}},"canonical_sha256":"31020c39735ad25925efc84cfd9d04ceedbf109dc673a2329d55e79f2d5a843f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31020c39735ad25925efc84cfd9d04ceedbf109dc673a2329d55e79f2d5a843f","first_computed_at":"2026-07-05T06:53:30.343925Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:53:30.343925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XBQ0dOzGZK6RrmAOvbKAIAzX8ObGv8BCmIs9vmjLeQuj6FcC7TPCpLrTxXWsZZ8+TUTV77tY97e84ekNxVukAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:53:30.344435Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.12983","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:acbc3b70196889e2e13299f968134dba1e497f5f73a2284052f38ff4922ee2fb","sha256:215c3bc4142400bd1d1fd7e9f4f34e0e7ebdd9c17190c79cffd1ba54f684ba1b"],"state_sha256":"bdc1f9f6906b133314f91a22a52fa328495a29791bbef4731ba33cf5a16307d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VDF1tInXJxwPtwlqJ3ITK5OqQHQDSfVasaeg51NOlx07DWJLhWKDhZlV37TIxvvFk7Hk5wTHUcb7VdY104ciCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T13:46:34.177252Z","bundle_sha256":"d685cc47cbfef61b8116883e20387338a552f6275106cc32c9db46d442529c66"}}