{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BXUSHAKCQMNN3RJ2M7BCABQXSG","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":"134ccc48a7bb25c6b0f4ab60bc1ed53b23863681260d992a8855d67a0051bf1b","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-29T07:10:53Z","title_canon_sha256":"c2dcc926cf122bd37522400df7d0912d2565f157b82c0e585cc1f46a29fba338"},"schema_version":"1.0","source":{"id":"2504.20469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20469","created_at":"2026-07-05T10:55:43Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20469v1","created_at":"2026-07-05T10:55:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20469","created_at":"2026-07-05T10:55:43Z"},{"alias_kind":"pith_short_12","alias_value":"BXUSHAKCQMNN","created_at":"2026-07-05T10:55:43Z"},{"alias_kind":"pith_short_16","alias_value":"BXUSHAKCQMNN3RJ2","created_at":"2026-07-05T10:55:43Z"},{"alias_kind":"pith_short_8","alias_value":"BXUSHAKC","created_at":"2026-07-05T10:55:43Z"}],"graph_snapshots":[{"event_id":"sha256:d28118c332c5c57b039040c1288997a9339a13d940436a52cd7285d612996dae","target":"graph","created_at":"2026-07-05T10:55:43Z","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/2504.20469/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding how news narratives frame entities is crucial for studying media's impact on societal perceptions of events. In this paper, we evaluate the zero-shot capabilities of large language models (LLMs) in classifying framing roles. Through systematic experimentation, we assess the effects of input context, prompting strategies, and task decomposition. Our findings show that a hierarchical approach of first identifying broad roles and then fine-grained roles, outperforms single-step classification. We also demonstrate that optimal input contexts and prompts vary across task levels, highl","authors_text":"Eduardo Blanco, Enfa Fane, Mihai Surdeanu, Steven R. Corman","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-29T07:10:53Z","title":"Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20469","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":"sha256:2634f7cd1f2403225f03bbda18e25da0b4aa70e87cdb75d5cab7718d8fbaf5f6","target":"record","created_at":"2026-07-05T10:55:43Z","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":"134ccc48a7bb25c6b0f4ab60bc1ed53b23863681260d992a8855d67a0051bf1b","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-29T07:10:53Z","title_canon_sha256":"c2dcc926cf122bd37522400df7d0912d2565f157b82c0e585cc1f46a29fba338"},"schema_version":"1.0","source":{"id":"2504.20469","kind":"arxiv","version":1}},"canonical_sha256":"0de9238142831addc53a67c220061791815706c42d3dab9d4b05de1d66064c56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0de9238142831addc53a67c220061791815706c42d3dab9d4b05de1d66064c56","first_computed_at":"2026-07-05T10:55:43.168046Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:55:43.168046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Flbh43eKkB0NLvHisPancg0d+lZN3dd4mVm6DCQNBVpwwKmksRsFCsPQgC2GMuGDIED1XZ+kXKAUwMUQlWjNBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:55:43.168512Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.20469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2634f7cd1f2403225f03bbda18e25da0b4aa70e87cdb75d5cab7718d8fbaf5f6","sha256:d28118c332c5c57b039040c1288997a9339a13d940436a52cd7285d612996dae"],"state_sha256":"ac2f233b49c6ea1a03a616a12af90ec384083af6b68a2eb94364c77447dc382b"}