{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OGRCAYOBI6JWWPZGOVZLTFIFK2","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":"e48307019b2cdbb579535b6bf3b45c462555278f2bbdfc252d93f4a158731178","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-06T14:27:41Z","title_canon_sha256":"79c21209ea10ef9354058b32e45a2a981fe77133a5cb7a071922af3de7209afb"},"schema_version":"1.0","source":{"id":"2501.03040","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.03040","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"arxiv_version","alias_value":"2501.03040v2","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03040","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_12","alias_value":"OGRCAYOBI6JW","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_16","alias_value":"OGRCAYOBI6JWWPZG","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_8","alias_value":"OGRCAYOB","created_at":"2026-07-05T11:39:46Z"}],"graph_snapshots":[{"event_id":"sha256:a549dd0e17aae56269cd53cb3272665179c0b0f0a193139f82f27cf1c069f65b","target":"graph","created_at":"2026-07-05T11:39:46Z","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/2501.03040/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have achieved remarkable success in various NLP tasks, yet they still face significant challenges in reasoning and arithmetic. Temporal reasoning, a critical component of natural language understanding, has raised increasing research attention. However, comprehensive testing of Allen's interval relations (e.g., before, after, during) -- a fundamental framework for temporal relationships -- remains underexplored. To fill this gap, we present ChronoSense, a new benchmark for evaluating LLMs' temporal understanding. It includes 16 tasks, focusing on identifying the Al","authors_text":"Duygu Sezen Islakoglu, Jan-Christoph Kalo","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-06T14:27:41Z","title":"ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03040","kind":"arxiv","version":2},"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":"sha256:8ac4987d3f79118302c9a43c76a95e360a3b2dcdff339d41919ed5be91cd8199","target":"record","created_at":"2026-07-05T11:39:46Z","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":"e48307019b2cdbb579535b6bf3b45c462555278f2bbdfc252d93f4a158731178","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-06T14:27:41Z","title_canon_sha256":"79c21209ea10ef9354058b32e45a2a981fe77133a5cb7a071922af3de7209afb"},"schema_version":"1.0","source":{"id":"2501.03040","kind":"arxiv","version":2}},"canonical_sha256":"71a22061c147936b3f267572b9950556a79b7aec5a814161fb19b9cf1c59616f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71a22061c147936b3f267572b9950556a79b7aec5a814161fb19b9cf1c59616f","first_computed_at":"2026-07-05T11:39:46.928826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:46.928826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zJjK5lP4WGgpM7RDpLsu/V4cSnPRieEz9Fwa9BivBs2IE98+0ifmy2BTeEkBNtr3aF8+IDOZ/zMhQnCEe1XhAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:46.929550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.03040","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ac4987d3f79118302c9a43c76a95e360a3b2dcdff339d41919ed5be91cd8199","sha256:a549dd0e17aae56269cd53cb3272665179c0b0f0a193139f82f27cf1c069f65b"],"state_sha256":"4eb3a955b51ae6227b20b01d15f4de0db762b23d592108edf22737d00deb9a6e"}