{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DWSCQDLTPWOOXVI3RRVWQ3GQPE","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":"33517f95326617553eae7fd7fbeb54aa80298327ce6696418b7e625da42ac810","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-11-26T11:50:45Z","title_canon_sha256":"0f7dc25f1c32dfe80d79375bce1e8f4dd8eb8a8f74eccc8048f5c40f527834ba"},"schema_version":"1.0","source":{"id":"2011.13253","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.13253","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"2011.13253v1","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.13253","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"DWSCQDLTPWOO","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_16","alias_value":"DWSCQDLTPWOOXVI3","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_8","alias_value":"DWSCQDLT","created_at":"2026-07-05T01:54:52Z"}],"graph_snapshots":[{"event_id":"sha256:1f920f70fe50106da1eaeeed4363857b295ac57d2ec9791c274ff7b42e7de019","target":"graph","created_at":"2026-07-05T01:54:52Z","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/2011.13253/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid advancement of technology in online communication via social media platforms has led to a prolific rise in the spread of misinformation and fake news. Fake news is especially rampant in the current COVID-19 pandemic, leading to people believing in false and potentially harmful claims and stories. Detecting fake news quickly can alleviate the spread of panic, chaos and potential health hazards. We developed a two stage automated pipeline for COVID-19 fake news detection using state of the art machine learning models for natural language processing. The first model leverages a novel fa","authors_text":"Prathyush Potluri, Rutvik Vijjali, Siddharth Kumar, Sundeep Teki","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-11-26T11:50:45Z","title":"Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.13253","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":"sha256:5d8202ddfb7d174f37b87c4dbf8a85413a0cbf33d3e7ee98aa4f46326ac9fa55","target":"record","created_at":"2026-07-05T01:54:52Z","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":"33517f95326617553eae7fd7fbeb54aa80298327ce6696418b7e625da42ac810","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-11-26T11:50:45Z","title_canon_sha256":"0f7dc25f1c32dfe80d79375bce1e8f4dd8eb8a8f74eccc8048f5c40f527834ba"},"schema_version":"1.0","source":{"id":"2011.13253","kind":"arxiv","version":1}},"canonical_sha256":"1da4280d737d9cebd51b8c6b686cd0793aaa1d7576a8dc33b03c439d1162ef81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1da4280d737d9cebd51b8c6b686cd0793aaa1d7576a8dc33b03c439d1162ef81","first_computed_at":"2026-07-05T01:54:52.429596Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:54:52.429596Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"01ohaqkbrwmsVVovKJ7es42f6egDqpRnhbblLRLT/thkn8m8KkhQ4i9iueeqNfRGfhyGJgqVMaaPSWro6UE9Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:54:52.430020Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.13253","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d8202ddfb7d174f37b87c4dbf8a85413a0cbf33d3e7ee98aa4f46326ac9fa55","sha256:1f920f70fe50106da1eaeeed4363857b295ac57d2ec9791c274ff7b42e7de019"],"state_sha256":"ae4601051dfbb37fc69f0ef6aa77f2448a1682a32f419c9beae3f9ad9c477333"}