{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DN3JR445YD44A4242QVQA3RQXO","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":"cba6b58ed699e35d31bec2bd33a4dd20895bd5bdfa5c45523ab09ab0b30cd28b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T15:45:36Z","title_canon_sha256":"8f0c03f462c74176de1dec9a63a4a4341c6d00bfa8c2bb49622df71f6bf9a9f8"},"schema_version":"1.0","source":{"id":"2110.15064","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.15064","created_at":"2026-07-05T04:02:20Z"},{"alias_kind":"arxiv_version","alias_value":"2110.15064v4","created_at":"2026-07-05T04:02:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.15064","created_at":"2026-07-05T04:02:20Z"},{"alias_kind":"pith_short_12","alias_value":"DN3JR445YD44","created_at":"2026-07-05T04:02:20Z"},{"alias_kind":"pith_short_16","alias_value":"DN3JR445YD44A424","created_at":"2026-07-05T04:02:20Z"},{"alias_kind":"pith_short_8","alias_value":"DN3JR445","created_at":"2026-07-05T04:02:20Z"}],"graph_snapshots":[{"event_id":"sha256:d9e49a10d49efd057719081f4f499cc2f3348f27dca550cd9acdb0de81f860fb","target":"graph","created_at":"2026-07-05T04:02:20Z","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/2110.15064/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The detection of fake news often requires sophisticated reasoning skills, such as logically combining information by considering word-level subtle clues. In this paper, we move towards fine-grained reasoning for fake news detection by better reflecting the logical processes of human thinking and enabling the modeling of subtle clues. In particular, we propose a fine-grained reasoning framework by following the human information-processing model, introduce a mutual-reinforcement-based method for incorporating human knowledge about which evidence is more important, and design a prior-aware bi-ch","authors_text":"Hao Liao, Ruichao Yang, Wei Wang, Xing Xie, Xiting Wang, Yiqiao Jin, Yizhou Sun","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T15:45:36Z","title":"Towards Fine-Grained Reasoning for Fake News Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.15064","kind":"arxiv","version":4},"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:e62ae8078c9c58a144dfa9ac4ba70be735004ad7428294ac25510dfd568a1abd","target":"record","created_at":"2026-07-05T04:02:20Z","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":"cba6b58ed699e35d31bec2bd33a4dd20895bd5bdfa5c45523ab09ab0b30cd28b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T15:45:36Z","title_canon_sha256":"8f0c03f462c74176de1dec9a63a4a4341c6d00bfa8c2bb49622df71f6bf9a9f8"},"schema_version":"1.0","source":{"id":"2110.15064","kind":"arxiv","version":4}},"canonical_sha256":"1b7698f39dc0f9c0735cd42b006e30bbb0c043d2f1600ac24df83c80e71afa76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b7698f39dc0f9c0735cd42b006e30bbb0c043d2f1600ac24df83c80e71afa76","first_computed_at":"2026-07-05T04:02:20.357617Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:02:20.357617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OO4rnN+bRWhadMJchq8GahKituRQdYRxamE53AFnl9ScRTll1sKBvXkWvbQY/7ReX3y04eo6z4pxWlIP6isPBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:02:20.358047Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.15064","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e62ae8078c9c58a144dfa9ac4ba70be735004ad7428294ac25510dfd568a1abd","sha256:d9e49a10d49efd057719081f4f499cc2f3348f27dca550cd9acdb0de81f860fb"],"state_sha256":"89c84a6611c4b009a60437e3b4e646a17f3fad8ca1cb8031f05e65f54513200d"}