{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:H7RV4A5FFAXGZ2MWQRDB6TVABJ","short_pith_number":"pith:H7RV4A5F","canonical_record":{"source":{"id":"2403.06765","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-11T14:35:45Z","cross_cats_sorted":[],"title_canon_sha256":"6bf19143f96997ca60478bc7b3f995bfca65f23ac5902682d2b733598946e823","abstract_canon_sha256":"7dd2a93b026695805f06f3d621699abbf5933e9e4540b46e77cee4951cdabef0"},"schema_version":"1.0"},"canonical_sha256":"3fe35e03a5282e6ce99684461f4ea00a4a8dfc3271cf49daf7dabd5cdb32333e","source":{"kind":"arxiv","id":"2403.06765","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06765","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06765v3","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06765","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"pith_short_12","alias_value":"H7RV4A5FFAXG","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"pith_short_16","alias_value":"H7RV4A5FFAXGZ2MW","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"pith_short_8","alias_value":"H7RV4A5F","created_at":"2026-07-05T09:22:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:H7RV4A5FFAXGZ2MWQRDB6TVABJ","target":"record","payload":{"canonical_record":{"source":{"id":"2403.06765","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-11T14:35:45Z","cross_cats_sorted":[],"title_canon_sha256":"6bf19143f96997ca60478bc7b3f995bfca65f23ac5902682d2b733598946e823","abstract_canon_sha256":"7dd2a93b026695805f06f3d621699abbf5933e9e4540b46e77cee4951cdabef0"},"schema_version":"1.0"},"canonical_sha256":"3fe35e03a5282e6ce99684461f4ea00a4a8dfc3271cf49daf7dabd5cdb32333e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:16.561792Z","signature_b64":"u5s+5cEkAjL9zsfr/L7VA2xIhsbjoQJnKdVOG5XSEJXQS3pTMn7zFF5MZLrtVn8xW7W0NDjm0gim/a2DXbTWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3fe35e03a5282e6ce99684461f4ea00a4a8dfc3271cf49daf7dabd5cdb32333e","last_reissued_at":"2026-07-05T09:22:16.561286Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:16.561286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.06765","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:22:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"39+unyyUn13zm8+tjh7gER8PAfBvKbSpfXzrpW2mxaFWO0gAU7qm7yKTnFiAtxJNa2R2+KDdHKgn6ZvFPfwbCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:10:11.052576Z"},"content_sha256":"6fd252fdd1997c6b17899fe9f036bbe107cd7bbd8ee54bbb201f111adad4f510","schema_version":"1.0","event_id":"sha256:6fd252fdd1997c6b17899fe9f036bbe107cd7bbd8ee54bbb201f111adad4f510"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:H7RV4A5FFAXGZ2MWQRDB6TVABJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Boyang Liu, Kailai Yang, Paul Thompson, Sophia Ananiadou, Zhiwei Liu","submitted_at":"2024-03-11T14:35:45Z","abstract_excerpt":"The internet has brought both benefits and harms to society. A prime example of the latter is misinformation, including conspiracy theories, which flood the web. Recent advances in natural language processing, particularly the emergence of large language models (LLMs), have improved the prospects of accurate misinformation detection. However, most LLM-based approaches to conspiracy theory detection focus only on binary classification and fail to account for the important relationship between misinformation and affective features (i.e., sentiment and emotions). Driven by a comprehensive analysi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06765","kind":"arxiv","version":3},"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/2403.06765/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":"2026-07-05T09:22:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j6wVT7JRDTdTQTeZGge4292YD1P37OXWqFENjrTauvQ/NlaLYLKqr+0aYN30TtOZ0ryY6a6jtMyl7pi6e+OVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:10:11.052945Z"},"content_sha256":"71d9125d0d61e26330c86b8d306523efdfe867504c862094b88258b9aa43bdc0","schema_version":"1.0","event_id":"sha256:71d9125d0d61e26330c86b8d306523efdfe867504c862094b88258b9aa43bdc0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H7RV4A5FFAXGZ2MWQRDB6TVABJ/bundle.json","state_url":"https://pith.science/pith/H7RV4A5FFAXGZ2MWQRDB6TVABJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H7RV4A5FFAXGZ2MWQRDB6TVABJ/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":"2026-07-07T15:10:11Z","links":{"resolver":"https://pith.science/pith/H7RV4A5FFAXGZ2MWQRDB6TVABJ","bundle":"https://pith.science/pith/H7RV4A5FFAXGZ2MWQRDB6TVABJ/bundle.json","state":"https://pith.science/pith/H7RV4A5FFAXGZ2MWQRDB6TVABJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H7RV4A5FFAXGZ2MWQRDB6TVABJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H7RV4A5FFAXGZ2MWQRDB6TVABJ","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":"7dd2a93b026695805f06f3d621699abbf5933e9e4540b46e77cee4951cdabef0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-11T14:35:45Z","title_canon_sha256":"6bf19143f96997ca60478bc7b3f995bfca65f23ac5902682d2b733598946e823"},"schema_version":"1.0","source":{"id":"2403.06765","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06765","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06765v3","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06765","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"pith_short_12","alias_value":"H7RV4A5FFAXG","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"pith_short_16","alias_value":"H7RV4A5FFAXGZ2MW","created_at":"2026-07-05T09:22:16Z"},{"alias_kind":"pith_short_8","alias_value":"H7RV4A5F","created_at":"2026-07-05T09:22:16Z"}],"graph_snapshots":[{"event_id":"sha256:71d9125d0d61e26330c86b8d306523efdfe867504c862094b88258b9aa43bdc0","target":"graph","created_at":"2026-07-05T09:22:16Z","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/2403.06765/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The internet has brought both benefits and harms to society. A prime example of the latter is misinformation, including conspiracy theories, which flood the web. Recent advances in natural language processing, particularly the emergence of large language models (LLMs), have improved the prospects of accurate misinformation detection. However, most LLM-based approaches to conspiracy theory detection focus only on binary classification and fail to account for the important relationship between misinformation and affective features (i.e., sentiment and emotions). Driven by a comprehensive analysi","authors_text":"Boyang Liu, Kailai Yang, Paul Thompson, Sophia Ananiadou, Zhiwei Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-11T14:35:45Z","title":"ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06765","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":"sha256:6fd252fdd1997c6b17899fe9f036bbe107cd7bbd8ee54bbb201f111adad4f510","target":"record","created_at":"2026-07-05T09:22:16Z","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":"7dd2a93b026695805f06f3d621699abbf5933e9e4540b46e77cee4951cdabef0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-11T14:35:45Z","title_canon_sha256":"6bf19143f96997ca60478bc7b3f995bfca65f23ac5902682d2b733598946e823"},"schema_version":"1.0","source":{"id":"2403.06765","kind":"arxiv","version":3}},"canonical_sha256":"3fe35e03a5282e6ce99684461f4ea00a4a8dfc3271cf49daf7dabd5cdb32333e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3fe35e03a5282e6ce99684461f4ea00a4a8dfc3271cf49daf7dabd5cdb32333e","first_computed_at":"2026-07-05T09:22:16.561286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:16.561286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u5s+5cEkAjL9zsfr/L7VA2xIhsbjoQJnKdVOG5XSEJXQS3pTMn7zFF5MZLrtVn8xW7W0NDjm0gim/a2DXbTWDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:16.561792Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.06765","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6fd252fdd1997c6b17899fe9f036bbe107cd7bbd8ee54bbb201f111adad4f510","sha256:71d9125d0d61e26330c86b8d306523efdfe867504c862094b88258b9aa43bdc0"],"state_sha256":"c08151883e58b490ab94598cddc449fb124d468a53b65ba709ea440b2e224705"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yj+xrXb2hvB0xx3iTVaeKN9Fg36/jbY1Wl3BjcetqwFryr1yuloYJ5y5nOGx6+5JvdoAp4gdwgPq28dZ6hd2Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:10:11.055039Z","bundle_sha256":"542f910c4149a9dc47a89abfb15faea073ae725fbc62e62e1e6ff9ebe9434da3"}}