{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ZBZGNIVEDL5PWPXEA3Q3MMDOMZ","short_pith_number":"pith:ZBZGNIVE","canonical_record":{"source":{"id":"2007.03316","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-07-07T10:04:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9a0b83a79490fdfcf3ca3c8e5edb703a59865767b1ab767b188b6b7db6b3d939","abstract_canon_sha256":"7eb7226c800960435866ad9d9885f51fc9b1b5f20d4e859040d568da1ad708b4"},"schema_version":"1.0"},"canonical_sha256":"c87266a2a41afafb3ee406e1b6306e665e4f425279811c88f7b19994272d4f36","source":{"kind":"arxiv","id":"2007.03316","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.03316","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"arxiv_version","alias_value":"2007.03316v2","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.03316","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZBZGNIVEDL5P","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZBZGNIVEDL5PWPXE","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZBZGNIVE","created_at":"2026-07-05T01:27:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ZBZGNIVEDL5PWPXEA3Q3MMDOMZ","target":"record","payload":{"canonical_record":{"source":{"id":"2007.03316","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-07-07T10:04:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9a0b83a79490fdfcf3ca3c8e5edb703a59865767b1ab767b188b6b7db6b3d939","abstract_canon_sha256":"7eb7226c800960435866ad9d9885f51fc9b1b5f20d4e859040d568da1ad708b4"},"schema_version":"1.0"},"canonical_sha256":"c87266a2a41afafb3ee406e1b6306e665e4f425279811c88f7b19994272d4f36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:27:04.293470Z","signature_b64":"H1WbMtVlWGc1MdDVresHOYDO5HaPS8tgCCLAEsHBkLSgIRbLzd9R/7PcvRokX7uitpw9OO3D2UBdBMtkKO1GCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c87266a2a41afafb3ee406e1b6306e665e4f425279811c88f7b19994272d4f36","last_reissued_at":"2026-07-05T01:27:04.293013Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:27:04.293013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.03316","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":"2026-07-05T01:27:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gB7pQHGs0eADsJ5RVLHwGA3sH6vSlzCavLjo51DjJ8uzFK4wB1MC5CcU2Cey7BTgdGZymymHD5Xb+shAlbPDAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:46:48.432832Z"},"content_sha256":"163ffaf97719675b85074c29d7a3f89936f1e87ab2f9f6131dfcce1d45025dad","schema_version":"1.0","event_id":"sha256:163ffaf97719675b85074c29d7a3f89936f1e87ab2f9f6131dfcce1d45025dad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ZBZGNIVEDL5PWPXEA3Q3MMDOMZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph Neural Networks with Continual Learning for Fake News Detection from Social Media","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SI","authors_text":"Christopher Leckie, Shanika Karunasekera, Yi Han","submitted_at":"2020-07-07T10:04:50Z","abstract_excerpt":"Although significant effort has been applied to fact-checking, the prevalence of fake news over social media, which has profound impact on justice, public trust and our society, remains a serious problem. In this work, we focus on propagation-based fake news detection, as recent studies have demonstrated that fake news and real news spread differently online. Specifically, considering the capability of graph neural networks (GNNs) in dealing with non-Euclidean data, we use GNNs to differentiate between the propagation patterns of fake and real news on social media. In particular, we concentrat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.03316","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/2007.03316/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":"2026-07-05T01:27:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5SHnB3v/3gj2eDSQIpLcNP76nRpds/tlxvcvOdrIpNAdDpYJnwPOulI1PvSC0DLcydadNquSjYt0lDg4xbDOBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:46:48.433332Z"},"content_sha256":"d1975e4f90c6c3e59b5b95c4f8392f8030aa5468dc37e44439538a5dbe4cabaf","schema_version":"1.0","event_id":"sha256:d1975e4f90c6c3e59b5b95c4f8392f8030aa5468dc37e44439538a5dbe4cabaf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ/bundle.json","state_url":"https://pith.science/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ/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":"2026-08-08T08:46:48Z","links":{"resolver":"https://pith.science/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ","bundle":"https://pith.science/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ/bundle.json","state":"https://pith.science/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZBZGNIVEDL5PWPXEA3Q3MMDOMZ","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":"7eb7226c800960435866ad9d9885f51fc9b1b5f20d4e859040d568da1ad708b4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-07-07T10:04:50Z","title_canon_sha256":"9a0b83a79490fdfcf3ca3c8e5edb703a59865767b1ab767b188b6b7db6b3d939"},"schema_version":"1.0","source":{"id":"2007.03316","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.03316","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"arxiv_version","alias_value":"2007.03316v2","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.03316","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZBZGNIVEDL5P","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZBZGNIVEDL5PWPXE","created_at":"2026-07-05T01:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZBZGNIVE","created_at":"2026-07-05T01:27:04Z"}],"graph_snapshots":[{"event_id":"sha256:d1975e4f90c6c3e59b5b95c4f8392f8030aa5468dc37e44439538a5dbe4cabaf","target":"graph","created_at":"2026-07-05T01:27:04Z","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/2007.03316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although significant effort has been applied to fact-checking, the prevalence of fake news over social media, which has profound impact on justice, public trust and our society, remains a serious problem. In this work, we focus on propagation-based fake news detection, as recent studies have demonstrated that fake news and real news spread differently online. Specifically, considering the capability of graph neural networks (GNNs) in dealing with non-Euclidean data, we use GNNs to differentiate between the propagation patterns of fake and real news on social media. In particular, we concentrat","authors_text":"Christopher Leckie, Shanika Karunasekera, Yi Han","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-07-07T10:04:50Z","title":"Graph Neural Networks with Continual Learning for Fake News Detection from Social Media"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.03316","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":"sha256:163ffaf97719675b85074c29d7a3f89936f1e87ab2f9f6131dfcce1d45025dad","target":"record","created_at":"2026-07-05T01:27:04Z","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":"7eb7226c800960435866ad9d9885f51fc9b1b5f20d4e859040d568da1ad708b4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-07-07T10:04:50Z","title_canon_sha256":"9a0b83a79490fdfcf3ca3c8e5edb703a59865767b1ab767b188b6b7db6b3d939"},"schema_version":"1.0","source":{"id":"2007.03316","kind":"arxiv","version":2}},"canonical_sha256":"c87266a2a41afafb3ee406e1b6306e665e4f425279811c88f7b19994272d4f36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c87266a2a41afafb3ee406e1b6306e665e4f425279811c88f7b19994272d4f36","first_computed_at":"2026-07-05T01:27:04.293013Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:27:04.293013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H1WbMtVlWGc1MdDVresHOYDO5HaPS8tgCCLAEsHBkLSgIRbLzd9R/7PcvRokX7uitpw9OO3D2UBdBMtkKO1GCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:27:04.293470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.03316","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:163ffaf97719675b85074c29d7a3f89936f1e87ab2f9f6131dfcce1d45025dad","sha256:d1975e4f90c6c3e59b5b95c4f8392f8030aa5468dc37e44439538a5dbe4cabaf"],"state_sha256":"e4ec4c12a9ed9857811a37bffc50015da188e6e3958f24119baf944391437a0c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C7Hq1Kcrw5ACxFACS9dCgwUgaMsfBKC6Imi/6sM+xFQWifNr8qe4aOMoEbSiu4ve0WZ0Idf4r48qjmvNYZSsDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:46:48.438823Z","bundle_sha256":"c00a6ad9a642ecf005e1fce3d25cf8d43c567697c2d677748379caa52489e11e"}}