{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3IUFTXGEERJUUOH25DGUUIZPIF","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":"a097915e3b0d6758c6cef0e08d8994c82b280a631a02a27166249df54bfd8bcd","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T12:53:21Z","title_canon_sha256":"4912fd67dc761d731dd693192c40f4d618dcf5d61c294627772b6ded4a5fc4fd"},"schema_version":"1.0","source":{"id":"2406.11486","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11486","created_at":"2026-07-05T08:32:54Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11486v1","created_at":"2026-07-05T08:32:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11486","created_at":"2026-07-05T08:32:54Z"},{"alias_kind":"pith_short_12","alias_value":"3IUFTXGEERJU","created_at":"2026-07-05T08:32:54Z"},{"alias_kind":"pith_short_16","alias_value":"3IUFTXGEERJUUOH2","created_at":"2026-07-05T08:32:54Z"},{"alias_kind":"pith_short_8","alias_value":"3IUFTXGE","created_at":"2026-07-05T08:32:54Z"}],"graph_snapshots":[{"event_id":"sha256:bf2ab22b13094cbc2352e61d958098acc72a77fc3e8668e076798612709a2219","target":"graph","created_at":"2026-07-05T08:32:54Z","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/2406.11486/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents the first study for temporal relation extraction in a zero-shot setting focusing on biomedical text. We employ two types of prompts and five LLMs (GPT-3.5, Mixtral, Llama 2, Gemma, and PMC-LLaMA) to obtain responses about the temporal relations between two events. Our experiments demonstrate that LLMs struggle in the zero-shot setting performing worse than fine-tuned specialized models in terms of F1 score, showing that this is a challenging task for LLMs. We further contribute a novel comprehensive temporal analysis by calculating consistency scores for each LLM. Our findi","authors_text":"Anastasiia Sedova, Andreas Stephan, Benjamin Roth, Klim Zaporojets, Vasiliki Kougia","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T12:53:21Z","title":"Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11486","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":"sha256:4b4e9a027f07804983be0bdcb0f5b72c047c754cf26480a29710514b6490e7e0","target":"record","created_at":"2026-07-05T08:32:54Z","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":"a097915e3b0d6758c6cef0e08d8994c82b280a631a02a27166249df54bfd8bcd","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T12:53:21Z","title_canon_sha256":"4912fd67dc761d731dd693192c40f4d618dcf5d61c294627772b6ded4a5fc4fd"},"schema_version":"1.0","source":{"id":"2406.11486","kind":"arxiv","version":1}},"canonical_sha256":"da2859dcc424534a38fae8cd4a232f4165d69ac9d57eab0522f098d9b26f2675","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da2859dcc424534a38fae8cd4a232f4165d69ac9d57eab0522f098d9b26f2675","first_computed_at":"2026-07-05T08:32:54.039929Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:32:54.039929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0PBALXUqNYDL7MZKLablqyjOmA+eJUVJmiglG4OIBkrT3+38SsqdXr1F4nPuxk1TdrERH/F7ogJipsG3TKVDAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:32:54.040440Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11486","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b4e9a027f07804983be0bdcb0f5b72c047c754cf26480a29710514b6490e7e0","sha256:bf2ab22b13094cbc2352e61d958098acc72a77fc3e8668e076798612709a2219"],"state_sha256":"d0d6203f9c811b1b7eeb494f6f8e18b1c7df16fe5ec823138f638e30f196551a"}