{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TPEXTEKVDATDYWALINCY2IYV4D","short_pith_number":"pith:TPEXTEKV","canonical_record":{"source":{"id":"2009.07698","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T14:13:15Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"0d52c97a75d181e6db46a105d9848fd9c7908b07acbabfafe129fa98206d08b8","abstract_canon_sha256":"64a3d77e15c33314664c28822fdfcfc1974e02e28488ef16c732605e1eb5056f"},"schema_version":"1.0"},"canonical_sha256":"9bc979915518263c580b43458d2315e0cc803c3dc5fa9509ffa5225af5d676e6","source":{"kind":"arxiv","id":"2009.07698","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.07698","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"arxiv_version","alias_value":"2009.07698v5","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.07698","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"pith_short_12","alias_value":"TPEXTEKVDATD","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"pith_short_16","alias_value":"TPEXTEKVDATDYWAL","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"pith_short_8","alias_value":"TPEXTEKV","created_at":"2026-07-05T04:26:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TPEXTEKVDATDYWALINCY2IYV4D","target":"record","payload":{"canonical_record":{"source":{"id":"2009.07698","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T14:13:15Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"0d52c97a75d181e6db46a105d9848fd9c7908b07acbabfafe129fa98206d08b8","abstract_canon_sha256":"64a3d77e15c33314664c28822fdfcfc1974e02e28488ef16c732605e1eb5056f"},"schema_version":"1.0"},"canonical_sha256":"9bc979915518263c580b43458d2315e0cc803c3dc5fa9509ffa5225af5d676e6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:26:31.961671Z","signature_b64":"JPNSlxjMe6N/+5sfEa58fmpcVcVXkv3AoySGkNI5/Wr5BRnCikJoauPeItyqA0ySVrfUpzcf+OKj7e2Y73UBAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9bc979915518263c580b43458d2315e0cc803c3dc5fa9509ffa5225af5d676e6","last_reissued_at":"2026-07-05T04:26:31.961338Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:26:31.961338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.07698","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:26:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BrR/Kkmwm2le2t6Zc+7N18heTYTPf7h+o5yFV9sWtQzlShCnw/3Dez3OYNwr2SuE7sYlVeOp1DbUlu++zAmzBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:53:23.005411Z"},"content_sha256":"545beb1e84aec145d844a897f3c1083f13df4ed6006e902000ac6317c8aa036f","schema_version":"1.0","event_id":"sha256:545beb1e84aec145d844a897f3c1083f13df4ed6006e902000ac6317c8aa036f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TPEXTEKVDATDYWALINCY2IYV4D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.AI","authors_text":"Bryan A. Plummer, Kate Saenko, Reuben Tan","submitted_at":"2020-09-16T14:13:15Z","abstract_excerpt":"Large-scale dissemination of disinformation online intended to mislead or deceive the general population is a major societal problem. Rapid progression in image, video, and natural language generative models has only exacerbated this situation and intensified our need for an effective defense mechanism. While existing approaches have been proposed to defend against neural fake news, they are generally constrained to the very limited setting where articles only have text and metadata such as the title and authors. In this paper, we introduce the more realistic and challenging task of defending "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.07698","kind":"arxiv","version":5},"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/2009.07698/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":"2026-07-05T04:26:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j4VVdBFB27KEeA2extuVYfBqyhi8K1tgn9VoZDGuLHjNBTv4Qs3agRtQKsObOuCEJsD1YXtRHRArXUu0WHlhDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:53:23.005908Z"},"content_sha256":"30d8f36f4b0cc73c653b96b3875ae6b9085f72d78af4475f5cee3b3b5192456c","schema_version":"1.0","event_id":"sha256:30d8f36f4b0cc73c653b96b3875ae6b9085f72d78af4475f5cee3b3b5192456c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TPEXTEKVDATDYWALINCY2IYV4D/bundle.json","state_url":"https://pith.science/pith/TPEXTEKVDATDYWALINCY2IYV4D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TPEXTEKVDATDYWALINCY2IYV4D/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":"2026-08-05T05:53:23Z","links":{"resolver":"https://pith.science/pith/TPEXTEKVDATDYWALINCY2IYV4D","bundle":"https://pith.science/pith/TPEXTEKVDATDYWALINCY2IYV4D/bundle.json","state":"https://pith.science/pith/TPEXTEKVDATDYWALINCY2IYV4D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TPEXTEKVDATDYWALINCY2IYV4D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TPEXTEKVDATDYWALINCY2IYV4D","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":"64a3d77e15c33314664c28822fdfcfc1974e02e28488ef16c732605e1eb5056f","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T14:13:15Z","title_canon_sha256":"0d52c97a75d181e6db46a105d9848fd9c7908b07acbabfafe129fa98206d08b8"},"schema_version":"1.0","source":{"id":"2009.07698","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.07698","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"arxiv_version","alias_value":"2009.07698v5","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.07698","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"pith_short_12","alias_value":"TPEXTEKVDATD","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"pith_short_16","alias_value":"TPEXTEKVDATDYWAL","created_at":"2026-07-05T04:26:31Z"},{"alias_kind":"pith_short_8","alias_value":"TPEXTEKV","created_at":"2026-07-05T04:26:31Z"}],"graph_snapshots":[{"event_id":"sha256:30d8f36f4b0cc73c653b96b3875ae6b9085f72d78af4475f5cee3b3b5192456c","target":"graph","created_at":"2026-07-05T04:26:31Z","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/2009.07698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale dissemination of disinformation online intended to mislead or deceive the general population is a major societal problem. Rapid progression in image, video, and natural language generative models has only exacerbated this situation and intensified our need for an effective defense mechanism. While existing approaches have been proposed to defend against neural fake news, they are generally constrained to the very limited setting where articles only have text and metadata such as the title and authors. In this paper, we introduce the more realistic and challenging task of defending ","authors_text":"Bryan A. Plummer, Kate Saenko, Reuben Tan","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T14:13:15Z","title":"Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.07698","kind":"arxiv","version":5},"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":"sha256:545beb1e84aec145d844a897f3c1083f13df4ed6006e902000ac6317c8aa036f","target":"record","created_at":"2026-07-05T04:26:31Z","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":"64a3d77e15c33314664c28822fdfcfc1974e02e28488ef16c732605e1eb5056f","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-09-16T14:13:15Z","title_canon_sha256":"0d52c97a75d181e6db46a105d9848fd9c7908b07acbabfafe129fa98206d08b8"},"schema_version":"1.0","source":{"id":"2009.07698","kind":"arxiv","version":5}},"canonical_sha256":"9bc979915518263c580b43458d2315e0cc803c3dc5fa9509ffa5225af5d676e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9bc979915518263c580b43458d2315e0cc803c3dc5fa9509ffa5225af5d676e6","first_computed_at":"2026-07-05T04:26:31.961338Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:26:31.961338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JPNSlxjMe6N/+5sfEa58fmpcVcVXkv3AoySGkNI5/Wr5BRnCikJoauPeItyqA0ySVrfUpzcf+OKj7e2Y73UBAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:26:31.961671Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.07698","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:545beb1e84aec145d844a897f3c1083f13df4ed6006e902000ac6317c8aa036f","sha256:30d8f36f4b0cc73c653b96b3875ae6b9085f72d78af4475f5cee3b3b5192456c"],"state_sha256":"11fc125f35ea19d2864716089af234304110e657202b638e6bab738c51a95507"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"60SxSFiaFs+crRMAJzxoCuCuXVUla4s4DRFz0X42+IJt8EcFIgcfROP6x2eG6X7vs2lpo/xiKt2Pbskv8+wIDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T05:53:23.010449Z","bundle_sha256":"478ec35d0193763ea4bb014ad6a351d087f059743854e4ccf24df70d2c71bf94"}}