{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HANDISQIDOXQ6YLWN2QHW44FT7","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":"c6900617319a1d3527796dc3ac7e44f98f187b6970719dfa59c2fcd6d8879c13","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-20T21:58:19Z","title_canon_sha256":"a3c0c3ce85c513f2155c0db0c3762b0587e1f7a1e8915bf188d67b12245df5ac"},"schema_version":"1.0","source":{"id":"2411.13724","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13724","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13724v1","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13724","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_12","alias_value":"HANDISQIDOXQ","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_16","alias_value":"HANDISQIDOXQ6YLW","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_8","alias_value":"HANDISQI","created_at":"2026-07-05T09:38:36Z"}],"graph_snapshots":[{"event_id":"sha256:53f431a3a97816e1589ee73660f94aec87addf603485506b66491eb6c128d575","target":"graph","created_at":"2026-07-05T09:38:36Z","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/2411.13724/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the increasing impacts of climate change, there is a growing demand for accessible tools that can provide reliable future climate information to support planning, finance, and other decision-making applications. Large language models (LLMs), such as GPT-4, present a promising approach to bridging the gap between complex climate data and the general public, offering a way for non-specialist users to obtain essential climate insights through natural language interaction. However, an essential challenge remains under-explored: evaluating the ability of LLMs to provide accurate and reliable f","authors_text":"Hassan A. Karimi, Yang Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-20T21:58:19Z","title":"Exploring Large Language Models for Climate Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13724","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:ebdc201994bfa3faa4ce82b95da8275bf7fef7dac70d654c69bb33325b78f789","target":"record","created_at":"2026-07-05T09:38:36Z","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":"c6900617319a1d3527796dc3ac7e44f98f187b6970719dfa59c2fcd6d8879c13","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-11-20T21:58:19Z","title_canon_sha256":"a3c0c3ce85c513f2155c0db0c3762b0587e1f7a1e8915bf188d67b12245df5ac"},"schema_version":"1.0","source":{"id":"2411.13724","kind":"arxiv","version":1}},"canonical_sha256":"381a344a081baf0f61766ea07b73859fc6ee7425da744b6aed8228914629937a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"381a344a081baf0f61766ea07b73859fc6ee7425da744b6aed8228914629937a","first_computed_at":"2026-07-05T09:38:36.344245Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:38:36.344245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0PlrseibtKkiG8vJqLk/eadbXGdH+JR5nnvAjdoQCZqwjgt+kpNne+RXTdQcJN5IFu4TNYdGBO1fRh4rkl0cBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:38:36.344725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13724","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ebdc201994bfa3faa4ce82b95da8275bf7fef7dac70d654c69bb33325b78f789","sha256:53f431a3a97816e1589ee73660f94aec87addf603485506b66491eb6c128d575"],"state_sha256":"c926ba05b32f9e3f4cb64a2f5b2d120aee7a9583e5889f59ca9864c3bde16402"}