{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3CZIGQEMBBAWQDXKFPKPTEUWYN","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":"6b6a5ba9b095f117a2c9706d1df7735c6fcfdb671a82c0989712b7dd4ea045cd","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-30T19:33:58Z","title_canon_sha256":"6483b012f394f57dec362380c6a196e8accea9dfa25df57b0b64214bf213316f"},"schema_version":"1.0","source":{"id":"2410.00182","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00182","created_at":"2026-07-05T12:00:44Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00182v1","created_at":"2026-07-05T12:00:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00182","created_at":"2026-07-05T12:00:44Z"},{"alias_kind":"pith_short_12","alias_value":"3CZIGQEMBBAW","created_at":"2026-07-05T12:00:44Z"},{"alias_kind":"pith_short_16","alias_value":"3CZIGQEMBBAWQDXK","created_at":"2026-07-05T12:00:44Z"},{"alias_kind":"pith_short_8","alias_value":"3CZIGQEM","created_at":"2026-07-05T12:00:44Z"}],"graph_snapshots":[{"event_id":"sha256:a6ff9640cf732b0eb89247f96467e2fb902304f4fa9349686199994064b1dee3","target":"graph","created_at":"2026-07-05T12:00:44Z","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/2410.00182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Social media posts are frequently identified as a valuable source of open-source intelligence for disaster response, and pre-LLM NLP techniques have been evaluated on datasets of crisis tweets. We assess three commercial large language models (OpenAI GPT-4o, Gemini 1.5-flash-001 and Anthropic Claude-3-5 Sonnet) capabilities in zero-shot classification of short social media posts. In one prompt, the models are asked to perform two classification tasks: 1) identify if the post is informative in a humanitarian context; and 2) rank and provide probabilities for the post in relation to 16 possible ","authors_text":"Emma McDaniel, Jeff Liu, Samuel Scheele","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-30T19:33:58Z","title":"Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00182","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:fea1f3c74298f936441cee0ee2fded0b7d4b95aabf22d44ca97e5b53ed8e0a4c","target":"record","created_at":"2026-07-05T12:00:44Z","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":"6b6a5ba9b095f117a2c9706d1df7735c6fcfdb671a82c0989712b7dd4ea045cd","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-30T19:33:58Z","title_canon_sha256":"6483b012f394f57dec362380c6a196e8accea9dfa25df57b0b64214bf213316f"},"schema_version":"1.0","source":{"id":"2410.00182","kind":"arxiv","version":1}},"canonical_sha256":"d8b283408c0841680eea2bd4f99296c369941228cde7e4375a9415dc59b66331","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8b283408c0841680eea2bd4f99296c369941228cde7e4375a9415dc59b66331","first_computed_at":"2026-07-05T12:00:44.155821Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:44.155821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cpGpMb80VuSsXFb+/lUmJpdlkl+on6A69OBNZhlLod7ebGiFvM7Vr7/5whVrePbDSl9ykzuR8dtT1b51qRquAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:44.156350Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00182","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fea1f3c74298f936441cee0ee2fded0b7d4b95aabf22d44ca97e5b53ed8e0a4c","sha256:a6ff9640cf732b0eb89247f96467e2fb902304f4fa9349686199994064b1dee3"],"state_sha256":"a9caedec72236e91a0929ce840906db3444f860a2eea20510986521ead2003f7"}