{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:27RWGTOTKNWSL2LXMQ3XGDWXPV","short_pith_number":"pith:27RWGTOT","canonical_record":{"source":{"id":"2312.05739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SI","submitted_at":"2023-12-10T03:34:29Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0b7fe4dfecc556ebf719d8d39376419520b2b07d97e7e5ebe2c64081bda17ebb","abstract_canon_sha256":"9460bfde9db5247898fbec19d79ec40758c5a36e15191f8db9ca0d0e6b5b71f3"},"schema_version":"1.0"},"canonical_sha256":"d7e3634dd3536d25e9776437730ed77d744cec3dee5ae621b29f804def9858e0","source":{"kind":"arxiv","id":"2312.05739","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05739","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05739v1","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05739","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"pith_short_12","alias_value":"27RWGTOTKNWS","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"pith_short_16","alias_value":"27RWGTOTKNWSL2LX","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"pith_short_8","alias_value":"27RWGTOT","created_at":"2026-07-05T07:22:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:27RWGTOTKNWSL2LXMQ3XGDWXPV","target":"record","payload":{"canonical_record":{"source":{"id":"2312.05739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SI","submitted_at":"2023-12-10T03:34:29Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0b7fe4dfecc556ebf719d8d39376419520b2b07d97e7e5ebe2c64081bda17ebb","abstract_canon_sha256":"9460bfde9db5247898fbec19d79ec40758c5a36e15191f8db9ca0d0e6b5b71f3"},"schema_version":"1.0"},"canonical_sha256":"d7e3634dd3536d25e9776437730ed77d744cec3dee5ae621b29f804def9858e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:31.867248Z","signature_b64":"YmAkPFoB2jt8NoWYmGMqbKn1bA4agZF3VFqylse8RXiKcezmXQCOYMOQUhRKKjHqpwEmSK3C1SG1ux3rmF98Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7e3634dd3536d25e9776437730ed77d744cec3dee5ae621b29f804def9858e0","last_reissued_at":"2026-07-05T07:22:31.866796Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:31.866796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.05739","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":"2026-07-05T07:22:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N1aef7/KkpTG/9yqx59DqbAktJOwrcJujmTT0hswWDi9U6gKEDw3msjhuzy38VGSvUpIsyvH1RG1BFs42ZrCDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:18:45.877320Z"},"content_sha256":"b74294b2b909ccc0ae88ef30e3720889d799ddd7716c6b3735ce4b78b016167a","schema_version":"1.0","event_id":"sha256:b74294b2b909ccc0ae88ef30e3720889d799ddd7716c6b3735ce4b78b016167a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:27RWGTOTKNWSL2LXMQ3XGDWXPV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SI","authors_text":"Chao Gao, Shu Yin, Zhen Wang","submitted_at":"2023-12-10T03:34:29Z","abstract_excerpt":"With the rise of social media, the spread of fake news has become a significant concern, potentially misleading public perceptions and impacting social stability. Although deep learning methods like CNNs, RNNs, and Transformer-based models like BERT have enhanced fake news detection, they primarily focus on content, overlooking social context during news propagation. Graph-based techniques have incorporated this social context but are limited by the need for large labeled datasets. Addressing these challenges, this paper introduces GAMC, an unsupervised fake news detection technique using the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05739","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/2312.05739/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":"2026-07-05T07:22:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yYEe8zLyjQ2vNpl+1POH1cSfdgXmjEGRPdqyWs69sLGIEOQZeWQTJDBBwm02PQEvnr01tBo+d6mIzwvFMlLDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:18:45.877861Z"},"content_sha256":"c7a05c81793642fd4531313368eedb1f114fd34af3c86a4a897098f5c6032813","schema_version":"1.0","event_id":"sha256:c7a05c81793642fd4531313368eedb1f114fd34af3c86a4a897098f5c6032813"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/27RWGTOTKNWSL2LXMQ3XGDWXPV/bundle.json","state_url":"https://pith.science/pith/27RWGTOTKNWSL2LXMQ3XGDWXPV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/27RWGTOTKNWSL2LXMQ3XGDWXPV/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":"2026-08-22T20:18:45Z","links":{"resolver":"https://pith.science/pith/27RWGTOTKNWSL2LXMQ3XGDWXPV","bundle":"https://pith.science/pith/27RWGTOTKNWSL2LXMQ3XGDWXPV/bundle.json","state":"https://pith.science/pith/27RWGTOTKNWSL2LXMQ3XGDWXPV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/27RWGTOTKNWSL2LXMQ3XGDWXPV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:27RWGTOTKNWSL2LXMQ3XGDWXPV","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":"9460bfde9db5247898fbec19d79ec40758c5a36e15191f8db9ca0d0e6b5b71f3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SI","submitted_at":"2023-12-10T03:34:29Z","title_canon_sha256":"0b7fe4dfecc556ebf719d8d39376419520b2b07d97e7e5ebe2c64081bda17ebb"},"schema_version":"1.0","source":{"id":"2312.05739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05739","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05739v1","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05739","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"pith_short_12","alias_value":"27RWGTOTKNWS","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"pith_short_16","alias_value":"27RWGTOTKNWSL2LX","created_at":"2026-07-05T07:22:31Z"},{"alias_kind":"pith_short_8","alias_value":"27RWGTOT","created_at":"2026-07-05T07:22:31Z"}],"graph_snapshots":[{"event_id":"sha256:c7a05c81793642fd4531313368eedb1f114fd34af3c86a4a897098f5c6032813","target":"graph","created_at":"2026-07-05T07:22:31Z","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/2312.05739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rise of social media, the spread of fake news has become a significant concern, potentially misleading public perceptions and impacting social stability. Although deep learning methods like CNNs, RNNs, and Transformer-based models like BERT have enhanced fake news detection, they primarily focus on content, overlooking social context during news propagation. Graph-based techniques have incorporated this social context but are limited by the need for large labeled datasets. Addressing these challenges, this paper introduces GAMC, an unsupervised fake news detection technique using the ","authors_text":"Chao Gao, Shu Yin, Zhen Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SI","submitted_at":"2023-12-10T03:34:29Z","title":"GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05739","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:b74294b2b909ccc0ae88ef30e3720889d799ddd7716c6b3735ce4b78b016167a","target":"record","created_at":"2026-07-05T07:22:31Z","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":"9460bfde9db5247898fbec19d79ec40758c5a36e15191f8db9ca0d0e6b5b71f3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SI","submitted_at":"2023-12-10T03:34:29Z","title_canon_sha256":"0b7fe4dfecc556ebf719d8d39376419520b2b07d97e7e5ebe2c64081bda17ebb"},"schema_version":"1.0","source":{"id":"2312.05739","kind":"arxiv","version":1}},"canonical_sha256":"d7e3634dd3536d25e9776437730ed77d744cec3dee5ae621b29f804def9858e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7e3634dd3536d25e9776437730ed77d744cec3dee5ae621b29f804def9858e0","first_computed_at":"2026-07-05T07:22:31.866796Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:31.866796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YmAkPFoB2jt8NoWYmGMqbKn1bA4agZF3VFqylse8RXiKcezmXQCOYMOQUhRKKjHqpwEmSK3C1SG1ux3rmF98Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:31.867248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.05739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b74294b2b909ccc0ae88ef30e3720889d799ddd7716c6b3735ce4b78b016167a","sha256:c7a05c81793642fd4531313368eedb1f114fd34af3c86a4a897098f5c6032813"],"state_sha256":"bb607450e019a331d23dfa68cf605716b77c0cf48dba2717f626584acac0468d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bIg/w17nQrofnFoof0aco4NP/B3YwDxxObwJR29WbtjmAtn8xiX+sI/ixdnJD2sCdNmPJffdTraRj7HG5cMeCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T20:18:45.883209Z","bundle_sha256":"0ff5aad818682e70bfab4d5b4884e2f8485e8733f05608aeaa51d767afeaa496"}}