{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5BPO7YRXD34KOREHFPQSLOTPW4","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":"a459cae592abab27b27691e23c35648e2825df015ab74ace987a29cc72d48e27","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-27T05:50:02Z","title_canon_sha256":"10a6016d91c41730b52c3a73dcc9e83afadaecf0f35d45eb2389454086024c60"},"schema_version":"1.0","source":{"id":"2408.01459","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.01459","created_at":"2026-07-05T08:51:58Z"},{"alias_kind":"arxiv_version","alias_value":"2408.01459v1","created_at":"2026-07-05T08:51:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.01459","created_at":"2026-07-05T08:51:58Z"},{"alias_kind":"pith_short_12","alias_value":"5BPO7YRXD34K","created_at":"2026-07-05T08:51:58Z"},{"alias_kind":"pith_short_16","alias_value":"5BPO7YRXD34KOREH","created_at":"2026-07-05T08:51:58Z"},{"alias_kind":"pith_short_8","alias_value":"5BPO7YRX","created_at":"2026-07-05T08:51:58Z"}],"graph_snapshots":[{"event_id":"sha256:82c3be953ea365e6e0b2509fafec2a6f5af0a249a01abac08b30a89d9628c8f0","target":"graph","created_at":"2026-07-05T08:51:58Z","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/2408.01459/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Addressing school bullying effectively and promptly is crucial for the mental health of students. This study examined the potential of large language models (LLMs) to empower students by discerning between bullying and joking in school peer interactions. We employed ChatGPT-4, Gemini 1.5 Pro, and Claude 3 Opus, evaluating their effectiveness through human review. Our results revealed that not all LLMs were suitable for an agentic approach, with ChatGPT-4 showing the most promise. We observed variations in LLM outputs, possibly influenced by political overcorrectness, context window limitations","authors_text":"Aditya Paul, Chi Lok Yu, Eva Adelina Susanto, Gwenyth Isobel Meadows, Nicholas Wai Long Lau","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-27T05:50:02Z","title":"AgentPeerTalk: Empowering Students through Agentic-AI-Driven Discernment of Bullying and Joking in Peer Interactions in Schools"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.01459","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:ce9a7ba5cf158fb5f1acb95b89dfa2e181ba2ad7eea5fd991415dfeadddfe428","target":"record","created_at":"2026-07-05T08:51:58Z","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":"a459cae592abab27b27691e23c35648e2825df015ab74ace987a29cc72d48e27","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-27T05:50:02Z","title_canon_sha256":"10a6016d91c41730b52c3a73dcc9e83afadaecf0f35d45eb2389454086024c60"},"schema_version":"1.0","source":{"id":"2408.01459","kind":"arxiv","version":1}},"canonical_sha256":"e85eefe2371ef8a744872be125ba6fb7125f8da19abf862c634c8440183286ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e85eefe2371ef8a744872be125ba6fb7125f8da19abf862c634c8440183286ce","first_computed_at":"2026-07-05T08:51:58.166426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:51:58.166426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CH52f/BY8pgVb006+hh47+4rqV3Lmj+qNCwFnLpkU4GRX8SfNSEuNNb9GZUmzmfZ2dZv5j8vBGvFFButeTQVAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:51:58.166835Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.01459","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce9a7ba5cf158fb5f1acb95b89dfa2e181ba2ad7eea5fd991415dfeadddfe428","sha256:82c3be953ea365e6e0b2509fafec2a6f5af0a249a01abac08b30a89d9628c8f0"],"state_sha256":"06209a0c6c3f45d5fe48203ffdfd29e86bf974b279bf280306af3869d744b0ae"}