{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4F2VNRKDUJIFBSP4GMZLQSFTZJ","short_pith_number":"pith:4F2VNRKD","canonical_record":{"source":{"id":"2205.12487","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T04:36:46Z","cross_cats_sorted":[],"title_canon_sha256":"727e5fd4742bc0e7dae0d8d7978dd595061eb317e36a3f463caaaafc30c2d773","abstract_canon_sha256":"853fdf8733ff9af1b0bf286e7818f952bb1eb85e5cc82ce17c23f33a60a4d2d6"},"schema_version":"1.0"},"canonical_sha256":"e17556c543a25050c9fc3332b848b3ca5e1de5b2c24a979b18be4b30544139a1","source":{"kind":"arxiv","id":"2205.12487","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.12487","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"arxiv_version","alias_value":"2205.12487v2","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.12487","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"pith_short_12","alias_value":"4F2VNRKDUJIF","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"pith_short_16","alias_value":"4F2VNRKDUJIFBSP4","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"pith_short_8","alias_value":"4F2VNRKD","created_at":"2026-07-05T06:28:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4F2VNRKDUJIFBSP4GMZLQSFTZJ","target":"record","payload":{"canonical_record":{"source":{"id":"2205.12487","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T04:36:46Z","cross_cats_sorted":[],"title_canon_sha256":"727e5fd4742bc0e7dae0d8d7978dd595061eb317e36a3f463caaaafc30c2d773","abstract_canon_sha256":"853fdf8733ff9af1b0bf286e7818f952bb1eb85e5cc82ce17c23f33a60a4d2d6"},"schema_version":"1.0"},"canonical_sha256":"e17556c543a25050c9fc3332b848b3ca5e1de5b2c24a979b18be4b30544139a1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:28:31.184663Z","signature_b64":"co1KSo5C6bqUqkauQR8VD2tS0u9WwvXxCT6cuxYBwjwZLvYgbtyo+iFrfF5TbWVWbasW1zpPgojUNZwyxdWMBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e17556c543a25050c9fc3332b848b3ca5e1de5b2c24a979b18be4b30544139a1","last_reissued_at":"2026-07-05T06:28:31.184127Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:28:31.184127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.12487","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":"2026-07-05T06:28:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h7fx9nl9A8J0ufetUggQA8oqodhRzGjfyDGDTeoNxo0CXe3tU2hpaOLjd/8zSxs3GYJGxznA2iSpBBw4uu0DCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:47:14.063404Z"},"content_sha256":"152dd1a681f41e9e1d4df95ba99490bacc1d61a16e1ef3f2be4435617ecbebbb","schema_version":"1.0","event_id":"sha256:152dd1a681f41e9e1d4df95ba99490bacc1d61a16e1ef3f2be4435617ecbebbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4F2VNRKDUJIFBSP4GMZLQSFTZJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"(2) Lehigh University), Aditya Shah (1), Barry Menglong Yao (1), Jin-Hee Cho (1), Lichao Sun (2), Lifu Huang (1) ((1) Virginia Tech","submitted_at":"2022-05-25T04:36:46Z","abstract_excerpt":"We propose end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and tweets, and the goal is to assess the truthfulness of the claim by retrieving relevant evidence and predicting a truthfulness label (e.g., support, refute or not enough information), and to generate a statement to summarize and explain the reasoning and ruling process. To support this research, we construct Mocheg, a large-scale dataset consisting of 15,601 claims where each claim is annotated with a truthfulness la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.12487","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/2205.12487/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":"2026-07-05T06:28:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UZZz72uC7fsQPDPxbYcplqLZ0eghkNWAevlES5xVQZSEBzcYyQILwz6S3VeUHu/Bkj7j3jPH5SIhtLbkR/2KDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:47:14.063922Z"},"content_sha256":"2b16147e099063ff8cbe6a9c3023a8befcc33f5bbf112788fc33e769f8cb79cb","schema_version":"1.0","event_id":"sha256:2b16147e099063ff8cbe6a9c3023a8befcc33f5bbf112788fc33e769f8cb79cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4F2VNRKDUJIFBSP4GMZLQSFTZJ/bundle.json","state_url":"https://pith.science/pith/4F2VNRKDUJIFBSP4GMZLQSFTZJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4F2VNRKDUJIFBSP4GMZLQSFTZJ/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":"2026-08-10T20:47:14Z","links":{"resolver":"https://pith.science/pith/4F2VNRKDUJIFBSP4GMZLQSFTZJ","bundle":"https://pith.science/pith/4F2VNRKDUJIFBSP4GMZLQSFTZJ/bundle.json","state":"https://pith.science/pith/4F2VNRKDUJIFBSP4GMZLQSFTZJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4F2VNRKDUJIFBSP4GMZLQSFTZJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4F2VNRKDUJIFBSP4GMZLQSFTZJ","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":"853fdf8733ff9af1b0bf286e7818f952bb1eb85e5cc82ce17c23f33a60a4d2d6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T04:36:46Z","title_canon_sha256":"727e5fd4742bc0e7dae0d8d7978dd595061eb317e36a3f463caaaafc30c2d773"},"schema_version":"1.0","source":{"id":"2205.12487","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.12487","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"arxiv_version","alias_value":"2205.12487v2","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.12487","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"pith_short_12","alias_value":"4F2VNRKDUJIF","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"pith_short_16","alias_value":"4F2VNRKDUJIFBSP4","created_at":"2026-07-05T06:28:31Z"},{"alias_kind":"pith_short_8","alias_value":"4F2VNRKD","created_at":"2026-07-05T06:28:31Z"}],"graph_snapshots":[{"event_id":"sha256:2b16147e099063ff8cbe6a9c3023a8befcc33f5bbf112788fc33e769f8cb79cb","target":"graph","created_at":"2026-07-05T06:28:31Z","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/2205.12487/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and tweets, and the goal is to assess the truthfulness of the claim by retrieving relevant evidence and predicting a truthfulness label (e.g., support, refute or not enough information), and to generate a statement to summarize and explain the reasoning and ruling process. To support this research, we construct Mocheg, a large-scale dataset consisting of 15,601 claims where each claim is annotated with a truthfulness la","authors_text":"(2) Lehigh University), Aditya Shah (1), Barry Menglong Yao (1), Jin-Hee Cho (1), Lichao Sun (2), Lifu Huang (1) ((1) Virginia Tech","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T04:36:46Z","title":"End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.12487","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":"sha256:152dd1a681f41e9e1d4df95ba99490bacc1d61a16e1ef3f2be4435617ecbebbb","target":"record","created_at":"2026-07-05T06:28:31Z","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":"853fdf8733ff9af1b0bf286e7818f952bb1eb85e5cc82ce17c23f33a60a4d2d6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T04:36:46Z","title_canon_sha256":"727e5fd4742bc0e7dae0d8d7978dd595061eb317e36a3f463caaaafc30c2d773"},"schema_version":"1.0","source":{"id":"2205.12487","kind":"arxiv","version":2}},"canonical_sha256":"e17556c543a25050c9fc3332b848b3ca5e1de5b2c24a979b18be4b30544139a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e17556c543a25050c9fc3332b848b3ca5e1de5b2c24a979b18be4b30544139a1","first_computed_at":"2026-07-05T06:28:31.184127Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:28:31.184127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"co1KSo5C6bqUqkauQR8VD2tS0u9WwvXxCT6cuxYBwjwZLvYgbtyo+iFrfF5TbWVWbasW1zpPgojUNZwyxdWMBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:28:31.184663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.12487","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:152dd1a681f41e9e1d4df95ba99490bacc1d61a16e1ef3f2be4435617ecbebbb","sha256:2b16147e099063ff8cbe6a9c3023a8befcc33f5bbf112788fc33e769f8cb79cb"],"state_sha256":"63cfa893d5d3898d0cd09cde4d2d25bf09199e086e34c77cbb0e7fadb0851c5d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eMAttyGdz1ckv2gM5IGWWv3EU2Wq9Dzf1GcJ+hy+ry9A2tlTWH6LXvAiERKmBdmczsvE5KXNjqLuI3qFKgQCAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:47:14.073294Z","bundle_sha256":"7602574b74d17e20b1ce6ee5ec742229e7a7a791053f7dbd6388bd2eddc9c947"}}