{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:TA6WN7YYSVV2PH734AXXHLWGDM","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":"07f6e4a81a14ded261fb606c66899aa7d658ac9bccc4cc7f2a514c3fc5114650","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-27T04:52:53Z","title_canon_sha256":"88aece409d87a3a0eaadca6e99ef07ff67fcef09b3713fe21cced7e87b064df6"},"schema_version":"1.0","source":{"id":"1911.11951","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11951","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11951v1","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11951","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"TA6WN7YYSVV2","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"TA6WN7YYSVV2PH73","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"TA6WN7YY","created_at":"2026-07-05T00:22:28Z"}],"graph_snapshots":[{"event_id":"sha256:1f9c08e7322dfd8aac5e7631d7043a9a0586e1c5c124e36d2ebf0da5fef5eda7","target":"graph","created_at":"2026-07-05T00:22:28Z","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/1911.11951/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The exponential rise of social media and digital news in the past decade has had the unfortunate consequence of escalating what the United Nations has called a global topic of concern: the growing prevalence of disinformation. Given the complexity and time-consuming nature of combating disinformation through human assessment, one is motivated to explore harnessing AI solutions to automatically assess news articles for the presence of disinformation. A valuable first step towards automatic identification of disinformation is stance detection, where given a claim and a news article, the aim is t","authors_text":"Alexander Wong, Chris Dulhanty, Ibrahim Ben Daya, Jason L. Deglint","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-27T04:52:53Z","title":"Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11951","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":"sha256:1b1cb8894af5ea77df08d26da1e7140a6cbc191c05b279a366c9703eba8a85a2","target":"record","created_at":"2026-07-05T00:22:28Z","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":"07f6e4a81a14ded261fb606c66899aa7d658ac9bccc4cc7f2a514c3fc5114650","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-27T04:52:53Z","title_canon_sha256":"88aece409d87a3a0eaadca6e99ef07ff67fcef09b3713fe21cced7e87b064df6"},"schema_version":"1.0","source":{"id":"1911.11951","kind":"arxiv","version":1}},"canonical_sha256":"983d66ff18956ba79ffbe02f73aec61b2597f498117737300feff4dbe7875007","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"983d66ff18956ba79ffbe02f73aec61b2597f498117737300feff4dbe7875007","first_computed_at":"2026-07-05T00:22:28.973217Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:22:28.973217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K6apzA6G31q+8oaxjTHpcoWgNUhvUaICfbsX2InFkysx/YrDnB+K2za4jIDX2m44UsypQKlDctS7jWnXsrOrAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:22:28.973629Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.11951","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b1cb8894af5ea77df08d26da1e7140a6cbc191c05b279a366c9703eba8a85a2","sha256:1f9c08e7322dfd8aac5e7631d7043a9a0586e1c5c124e36d2ebf0da5fef5eda7"],"state_sha256":"e01ae7a53756bdbdf7bdad5d6e1dda714bfa520749aa1c45bcb9b6dabca3d797"}