{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KVBNGN4GFMER4UR2JFRQOKBFFL","short_pith_number":"pith:KVBNGN4G","canonical_record":{"source":{"id":"2410.12842","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T18:25:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d205e00639b3f89c07b2b903a76c025adac24c3f2e0cc2de891419cd1e705a1","abstract_canon_sha256":"23ed0c58760f5869eb9a52117146f3177341a2134c5a656ab8ac7073e615e62a"},"schema_version":"1.0"},"canonical_sha256":"5542d337862b091e523a49630728252ad0a619e9065977089a9940454d084db2","source":{"kind":"arxiv","id":"2410.12842","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12842","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12842v1","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12842","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_12","alias_value":"KVBNGN4GFMER","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_16","alias_value":"KVBNGN4GFMER4UR2","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_8","alias_value":"KVBNGN4G","created_at":"2026-07-05T09:21:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KVBNGN4GFMER4UR2JFRQOKBFFL","target":"record","payload":{"canonical_record":{"source":{"id":"2410.12842","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T18:25:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d205e00639b3f89c07b2b903a76c025adac24c3f2e0cc2de891419cd1e705a1","abstract_canon_sha256":"23ed0c58760f5869eb9a52117146f3177341a2134c5a656ab8ac7073e615e62a"},"schema_version":"1.0"},"canonical_sha256":"5542d337862b091e523a49630728252ad0a619e9065977089a9940454d084db2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:21:51.701600Z","signature_b64":"T4nAOkZzHh8pjbcnMLVc03ciwyRjkv3qoU6wTuNkuqbEc6QCYNd70CBwlMCNAoabT4RLlbwej+d0UJwDm52YCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5542d337862b091e523a49630728252ad0a619e9065977089a9940454d084db2","last_reissued_at":"2026-07-05T09:21:51.701171Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:21:51.701171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.12842","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:21:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9HI42iyJCjsaiZuw9K5Qm8iudHWMf+hvIsBZDsyLhOhR3Y1lpnjiK6iVQYQBYmNJHYdCGLkzo2XMTcanox+HDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:02:03.802519Z"},"content_sha256":"d18f5dccea41f308eb4159ac1f6db4dd97083d95dff1ffcc88a641ab5dcc1d66","schema_version":"1.0","event_id":"sha256:d18f5dccea41f308eb4159ac1f6db4dd97083d95dff1ffcc88a641ab5dcc1d66"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KVBNGN4GFMER4UR2JFRQOKBFFL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Two-Model Approach for Humour Style Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Abbas Edalat, Foaad Khosmood, Mary Ogbuka Kenneth","submitted_at":"2024-10-09T18:25:07Z","abstract_excerpt":"Humour, a fundamental aspect of human communication, manifests itself in various styles that significantly impact social interactions and mental health. Recognising different humour styles poses challenges due to the lack of established datasets and machine learning (ML) models. To address this gap, we present a new text dataset for humour style recognition, comprising 1463 instances across four styles (self-enhancing, self-deprecating, affiliative, and aggressive) and non-humorous text, with lengths ranging from 4 to 229 words. Our research employs various computational methods, including cla"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12842","kind":"arxiv","version":1},"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/2410.12842/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":"2026-07-05T09:21:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1gBcctGZNy366qIiC+gTYIcIuPME5r9r56scxU6+Nx+eU5+N8emxz+IbM9t5dJSbjOMc7G5rfviG2RIBEqTrCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:02:03.803081Z"},"content_sha256":"7fa819163546c45fa3d06fc96f3187fd2767378a123a0f6d7b0807ec195d4c71","schema_version":"1.0","event_id":"sha256:7fa819163546c45fa3d06fc96f3187fd2767378a123a0f6d7b0807ec195d4c71"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KVBNGN4GFMER4UR2JFRQOKBFFL/bundle.json","state_url":"https://pith.science/pith/KVBNGN4GFMER4UR2JFRQOKBFFL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KVBNGN4GFMER4UR2JFRQOKBFFL/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":"2026-08-08T07:02:03Z","links":{"resolver":"https://pith.science/pith/KVBNGN4GFMER4UR2JFRQOKBFFL","bundle":"https://pith.science/pith/KVBNGN4GFMER4UR2JFRQOKBFFL/bundle.json","state":"https://pith.science/pith/KVBNGN4GFMER4UR2JFRQOKBFFL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KVBNGN4GFMER4UR2JFRQOKBFFL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KVBNGN4GFMER4UR2JFRQOKBFFL","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":"23ed0c58760f5869eb9a52117146f3177341a2134c5a656ab8ac7073e615e62a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T18:25:07Z","title_canon_sha256":"0d205e00639b3f89c07b2b903a76c025adac24c3f2e0cc2de891419cd1e705a1"},"schema_version":"1.0","source":{"id":"2410.12842","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12842","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12842v1","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12842","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_12","alias_value":"KVBNGN4GFMER","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_16","alias_value":"KVBNGN4GFMER4UR2","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_8","alias_value":"KVBNGN4G","created_at":"2026-07-05T09:21:51Z"}],"graph_snapshots":[{"event_id":"sha256:7fa819163546c45fa3d06fc96f3187fd2767378a123a0f6d7b0807ec195d4c71","target":"graph","created_at":"2026-07-05T09:21:51Z","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/2410.12842/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humour, a fundamental aspect of human communication, manifests itself in various styles that significantly impact social interactions and mental health. Recognising different humour styles poses challenges due to the lack of established datasets and machine learning (ML) models. To address this gap, we present a new text dataset for humour style recognition, comprising 1463 instances across four styles (self-enhancing, self-deprecating, affiliative, and aggressive) and non-humorous text, with lengths ranging from 4 to 229 words. Our research employs various computational methods, including cla","authors_text":"Abbas Edalat, Foaad Khosmood, Mary Ogbuka Kenneth","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T18:25:07Z","title":"A Two-Model Approach for Humour Style Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12842","kind":"arxiv","version":1},"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:d18f5dccea41f308eb4159ac1f6db4dd97083d95dff1ffcc88a641ab5dcc1d66","target":"record","created_at":"2026-07-05T09:21:51Z","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":"23ed0c58760f5869eb9a52117146f3177341a2134c5a656ab8ac7073e615e62a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T18:25:07Z","title_canon_sha256":"0d205e00639b3f89c07b2b903a76c025adac24c3f2e0cc2de891419cd1e705a1"},"schema_version":"1.0","source":{"id":"2410.12842","kind":"arxiv","version":1}},"canonical_sha256":"5542d337862b091e523a49630728252ad0a619e9065977089a9940454d084db2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5542d337862b091e523a49630728252ad0a619e9065977089a9940454d084db2","first_computed_at":"2026-07-05T09:21:51.701171Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:51.701171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T4nAOkZzHh8pjbcnMLVc03ciwyRjkv3qoU6wTuNkuqbEc6QCYNd70CBwlMCNAoabT4RLlbwej+d0UJwDm52YCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:51.701600Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.12842","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d18f5dccea41f308eb4159ac1f6db4dd97083d95dff1ffcc88a641ab5dcc1d66","sha256:7fa819163546c45fa3d06fc96f3187fd2767378a123a0f6d7b0807ec195d4c71"],"state_sha256":"a473384dffb49f27c27d386a20a0b9eadaf06b324b508845010f01c30428bf3c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ri2UNa3BYpAtw4PErwDTaieJGvj+tu/NJC1rRFAGZCmUvdeWmxT6D6g5fzYxbb8JycBLSUtWteRRNRGURtr4Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:02:03.808075Z","bundle_sha256":"e3a86bd63b1119c190baf312f8df6d651223e42fc7e1913e91960bd8fe352ab6"}}