{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2NXNPJ4JYUDZ4ER5N5CMBSZJSH","short_pith_number":"pith:2NXNPJ4J","canonical_record":{"source":{"id":"2411.17123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T05:29:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4d01e539e2c62524b3aa22c79e306174c287c190bcf983bd7f2861361adb2249","abstract_canon_sha256":"8b20f01893d0af69fc5b9b33d8174483b24b86fbb1ad33348b5b4f46407ad29e"},"schema_version":"1.0"},"canonical_sha256":"d36ed7a789c5079e123d6f44c0cb2991dfd79416cb3164762ad715c0c78b44ec","source":{"kind":"arxiv","id":"2411.17123","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17123","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17123v1","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17123","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"pith_short_12","alias_value":"2NXNPJ4JYUDZ","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"pith_short_16","alias_value":"2NXNPJ4JYUDZ4ER5","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"pith_short_8","alias_value":"2NXNPJ4J","created_at":"2026-07-05T09:40:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2NXNPJ4JYUDZ4ER5N5CMBSZJSH","target":"record","payload":{"canonical_record":{"source":{"id":"2411.17123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T05:29:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4d01e539e2c62524b3aa22c79e306174c287c190bcf983bd7f2861361adb2249","abstract_canon_sha256":"8b20f01893d0af69fc5b9b33d8174483b24b86fbb1ad33348b5b4f46407ad29e"},"schema_version":"1.0"},"canonical_sha256":"d36ed7a789c5079e123d6f44c0cb2991dfd79416cb3164762ad715c0c78b44ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:27.786360Z","signature_b64":"xnefTZMRNBlzF3KjlPol1B8rGU8oKTl4ZLkfG80gQBySIwJQWz2OuanN0yJyUgIEXFK1U6PL/cavCpf4F+q1AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d36ed7a789c5079e123d6f44c0cb2991dfd79416cb3164762ad715c0c78b44ec","last_reissued_at":"2026-07-05T09:40:27.784639Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:27.784639Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.17123","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":"2026-07-05T09:40:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8AKSEkC+BienagZ7Eld243Z4CvNlyFG42kbQq9QJz8xdW84OTlZMjfVO2fEUfqQIaKk4mu+9qAoNCcQQIIwbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:02:04.034315Z"},"content_sha256":"5e2fc93c20a1dea70ecd12c3e7d28b5d4fe6b12102d91e1e8f67bb9ceb7088a1","schema_version":"1.0","event_id":"sha256:5e2fc93c20a1dea70ecd12c3e7d28b5d4fe6b12102d91e1e8f67bb9ceb7088a1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2NXNPJ4JYUDZ4ER5N5CMBSZJSH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Harishwar Reddy Kasireddy, Myles Joshua Toledo Tan, Nouar AlDahoul, Yasir Zaki","submitted_at":"2024-11-26T05:29:18Z","abstract_excerpt":"The widespread dissemination of hate speech, harassment, harmful and sexual content, and violence across websites and media platforms presents substantial challenges and provokes widespread concern among different sectors of society. Governments, educators, and parents are often at odds with media platforms about how to regulate, control, and limit the spread of such content. Technologies for detecting and censoring the media contents are a key solution to addressing these challenges. Techniques from natural language processing and computer vision have been used widely to automatically identif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17123","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/2411.17123/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":"2026-07-05T09:40:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4ZT+bmUFyQInvWef4C3zrs19fC4gkBajyliUt0OoK2kmihsaULPMsgoZ8+fw7sDVg3lx6sgEbMVq657y6ktICg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:02:04.034834Z"},"content_sha256":"25e5f72391aafa95ee024ea2bebeac2c2eafb284503c6242bbb4f8cbcaebc39a","schema_version":"1.0","event_id":"sha256:25e5f72391aafa95ee024ea2bebeac2c2eafb284503c6242bbb4f8cbcaebc39a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2NXNPJ4JYUDZ4ER5N5CMBSZJSH/bundle.json","state_url":"https://pith.science/pith/2NXNPJ4JYUDZ4ER5N5CMBSZJSH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2NXNPJ4JYUDZ4ER5N5CMBSZJSH/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":"2026-08-09T11:02:04Z","links":{"resolver":"https://pith.science/pith/2NXNPJ4JYUDZ4ER5N5CMBSZJSH","bundle":"https://pith.science/pith/2NXNPJ4JYUDZ4ER5N5CMBSZJSH/bundle.json","state":"https://pith.science/pith/2NXNPJ4JYUDZ4ER5N5CMBSZJSH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2NXNPJ4JYUDZ4ER5N5CMBSZJSH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2NXNPJ4JYUDZ4ER5N5CMBSZJSH","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":"8b20f01893d0af69fc5b9b33d8174483b24b86fbb1ad33348b5b4f46407ad29e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T05:29:18Z","title_canon_sha256":"4d01e539e2c62524b3aa22c79e306174c287c190bcf983bd7f2861361adb2249"},"schema_version":"1.0","source":{"id":"2411.17123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17123","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17123v1","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17123","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"pith_short_12","alias_value":"2NXNPJ4JYUDZ","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"pith_short_16","alias_value":"2NXNPJ4JYUDZ4ER5","created_at":"2026-07-05T09:40:27Z"},{"alias_kind":"pith_short_8","alias_value":"2NXNPJ4J","created_at":"2026-07-05T09:40:27Z"}],"graph_snapshots":[{"event_id":"sha256:25e5f72391aafa95ee024ea2bebeac2c2eafb284503c6242bbb4f8cbcaebc39a","target":"graph","created_at":"2026-07-05T09:40:27Z","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/2411.17123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The widespread dissemination of hate speech, harassment, harmful and sexual content, and violence across websites and media platforms presents substantial challenges and provokes widespread concern among different sectors of society. Governments, educators, and parents are often at odds with media platforms about how to regulate, control, and limit the spread of such content. Technologies for detecting and censoring the media contents are a key solution to addressing these challenges. Techniques from natural language processing and computer vision have been used widely to automatically identif","authors_text":"Harishwar Reddy Kasireddy, Myles Joshua Toledo Tan, Nouar AlDahoul, Yasir Zaki","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T05:29:18Z","title":"Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17123","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":"sha256:5e2fc93c20a1dea70ecd12c3e7d28b5d4fe6b12102d91e1e8f67bb9ceb7088a1","target":"record","created_at":"2026-07-05T09:40:27Z","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":"8b20f01893d0af69fc5b9b33d8174483b24b86fbb1ad33348b5b4f46407ad29e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T05:29:18Z","title_canon_sha256":"4d01e539e2c62524b3aa22c79e306174c287c190bcf983bd7f2861361adb2249"},"schema_version":"1.0","source":{"id":"2411.17123","kind":"arxiv","version":1}},"canonical_sha256":"d36ed7a789c5079e123d6f44c0cb2991dfd79416cb3164762ad715c0c78b44ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d36ed7a789c5079e123d6f44c0cb2991dfd79416cb3164762ad715c0c78b44ec","first_computed_at":"2026-07-05T09:40:27.784639Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:27.784639Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xnefTZMRNBlzF3KjlPol1B8rGU8oKTl4ZLkfG80gQBySIwJQWz2OuanN0yJyUgIEXFK1U6PL/cavCpf4F+q1AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:27.786360Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.17123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e2fc93c20a1dea70ecd12c3e7d28b5d4fe6b12102d91e1e8f67bb9ceb7088a1","sha256:25e5f72391aafa95ee024ea2bebeac2c2eafb284503c6242bbb4f8cbcaebc39a"],"state_sha256":"7167b311026d0a62b8f99a44cc4f736f49ef6574517f8ad2015682f170567fd7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JABLILJgH6SlQBpCX+7sNGTgDYkDcbPaJOOJCuPedb0QVS33/jEu4krCEPeNs/1qitgiLkraLOI5zBIf/J2WBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:02:04.040557Z","bundle_sha256":"63323cde3163c5c283f46fc7a7de1ff862d0882396bf448433f1ca77a1e6aab9"}}