{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GU3WJGNENZE7ZKHGDTHRO7EDNX","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":"7f0e195e17e5d640a2c82c422ad9a040c2644d26aa8205b63e61ac31b590faf8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T15:24:41Z","title_canon_sha256":"748e6295457c2ab5ea6e3c85f4cee99fcf1374ac62f0571d4c8f757552999ae6"},"schema_version":"1.0","source":{"id":"2501.09604","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09604","created_at":"2026-07-05T10:15:24Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09604v1","created_at":"2026-07-05T10:15:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09604","created_at":"2026-07-05T10:15:24Z"},{"alias_kind":"pith_short_12","alias_value":"GU3WJGNENZE7","created_at":"2026-07-05T10:15:24Z"},{"alias_kind":"pith_short_16","alias_value":"GU3WJGNENZE7ZKHG","created_at":"2026-07-05T10:15:24Z"},{"alias_kind":"pith_short_8","alias_value":"GU3WJGNE","created_at":"2026-07-05T10:15:24Z"}],"graph_snapshots":[{"event_id":"sha256:f13bee5ff6835c56302cd3967d90f87ff58358a002924e41141c17c494c1a6dd","target":"graph","created_at":"2026-07-05T10:15:24Z","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/2501.09604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid spread of fake news presents a significant global challenge, particularly in low-resource languages like Bangla, which lack adequate datasets and detection tools. Although manual fact-checking is accurate, it is expensive and slow to prevent the dissemination of fake news. Addressing this gap, we introduce BanFakeNews-2.0, a robust dataset to enhance Bangla fake news detection. This version includes 11,700 additional, meticulously curated fake news articles validated from credible sources, creating a proportional dataset of 47,000 authentic and 13,000 fake news items across 13 catego","authors_text":"Hrithik Majumdar Shibu, Mahruba Sharmin Chowdhury, Md. Saiful Islam, Md. Sumon Miah, Nasrullah Sami, Shrestha Datta","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T15:24:41Z","title":"From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09604","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:ba1d61e7717f246ab1b1a3b9c03eab68d30d116a10f965c234da37ca8198d689","target":"record","created_at":"2026-07-05T10:15:24Z","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":"7f0e195e17e5d640a2c82c422ad9a040c2644d26aa8205b63e61ac31b590faf8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T15:24:41Z","title_canon_sha256":"748e6295457c2ab5ea6e3c85f4cee99fcf1374ac62f0571d4c8f757552999ae6"},"schema_version":"1.0","source":{"id":"2501.09604","kind":"arxiv","version":1}},"canonical_sha256":"35376499a46e49fca8e61ccf177c836df92126348dcb6fca286e236c4a8b40cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35376499a46e49fca8e61ccf177c836df92126348dcb6fca286e236c4a8b40cb","first_computed_at":"2026-07-05T10:15:24.498420Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:24.498420Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HbVluMM5FOuNJ4mTy+k/BGs4I3AA2zJbtT6NkYZDEBJAvdbNMxdDFcEl2UkPzcxQeDI+ojV/ZrpxNbdzFR6HBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:24.498902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09604","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba1d61e7717f246ab1b1a3b9c03eab68d30d116a10f965c234da37ca8198d689","sha256:f13bee5ff6835c56302cd3967d90f87ff58358a002924e41141c17c494c1a6dd"],"state_sha256":"d87cbe8414f3d8488a5dc2fc3278a55c868a6d33ee4af174a71aca59cbda4a96"}