{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NKV5OPNF6S6OGEPQSYF57URYUQ","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":"b148fd455993935d478dea79f54a8dfa38216bde61500e3d2dc5501f53e30d7d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-16T02:49:20Z","title_canon_sha256":"a5838865d9a7af55f6ba17d1778fde6352feb9b0e5b28b155dad61094f918932"},"schema_version":"1.0","source":{"id":"2306.09597","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.09597","created_at":"2026-07-05T11:01:21Z"},{"alias_kind":"arxiv_version","alias_value":"2306.09597v4","created_at":"2026-07-05T11:01:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.09597","created_at":"2026-07-05T11:01:21Z"},{"alias_kind":"pith_short_12","alias_value":"NKV5OPNF6S6O","created_at":"2026-07-05T11:01:21Z"},{"alias_kind":"pith_short_16","alias_value":"NKV5OPNF6S6OGEPQ","created_at":"2026-07-05T11:01:21Z"},{"alias_kind":"pith_short_8","alias_value":"NKV5OPNF","created_at":"2026-07-05T11:01:21Z"}],"graph_snapshots":[{"event_id":"sha256:0a1751ea724de0c0c2d1203a9c77259d55fee9ca7a38047d025ce435e7ea9e70","target":"graph","created_at":"2026-07-05T11:01:21Z","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/2306.09597/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clickbait, which aims to induce users with some surprising and even thrilling headlines for increasing click-through rates, permeates almost all online content publishers, such as news portals and social media. Recently, Large Language Models (LLMs) have emerged as a powerful instrument and achieved tremendous success in a series of NLP downstream tasks. However, it is not yet known whether LLMs can be served as a high-quality clickbait detection system. In this paper, we analyze the performance of LLMs in the few-shot and zero-shot scenarios on several English and Chinese benchmark datasets. ","authors_text":"Han Wang, Jipeng Qiang, Ye Wang, Yi Zhu, Yunhao Yuan, Yun Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-16T02:49:20Z","title":"Clickbait Detection via Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.09597","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":"sha256:6d1f9beb82f8961aede5cece44dc38bf3cf784c50596585bac253fa600a63900","target":"record","created_at":"2026-07-05T11:01:21Z","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":"b148fd455993935d478dea79f54a8dfa38216bde61500e3d2dc5501f53e30d7d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-16T02:49:20Z","title_canon_sha256":"a5838865d9a7af55f6ba17d1778fde6352feb9b0e5b28b155dad61094f918932"},"schema_version":"1.0","source":{"id":"2306.09597","kind":"arxiv","version":4}},"canonical_sha256":"6aabd73da5f4bce311f0960bdfd238a411644b2ce7e365063f2cc067cb287b46","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6aabd73da5f4bce311f0960bdfd238a411644b2ce7e365063f2cc067cb287b46","first_computed_at":"2026-07-05T11:01:21.723508Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:21.723508Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5eTsr/5gH2a6oHp62eDlF0nZzc+ULoDKcPKw0WhO1y/FVndZ9xC1euAL4no2x0ktw9JWp3t2oVUfFsvkD+RxAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:21.723984Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.09597","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d1f9beb82f8961aede5cece44dc38bf3cf784c50596585bac253fa600a63900","sha256:0a1751ea724de0c0c2d1203a9c77259d55fee9ca7a38047d025ce435e7ea9e70"],"state_sha256":"b3e6f3952df7093f4f15fa8bfc5b90685b21d25574898fccff449883e965c6ce"}