{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CWF4B7PLXVFRX53LWPPCZJ5PGW","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":"913585e45fe10fc01cc066a49ba847732da84abdf6cc7da40260b2ace742ef9d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-28T01:27:37Z","title_canon_sha256":"e0f4d173a2f32edfd2280a19b8c0f7ed0eca10563f4cdc643022eed9dd0cf089"},"schema_version":"1.0","source":{"id":"2302.14229","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.14229","created_at":"2026-07-05T07:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"2302.14229v4","created_at":"2026-07-05T07:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.14229","created_at":"2026-07-05T07:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"CWF4B7PLXVFR","created_at":"2026-07-05T07:04:13Z"},{"alias_kind":"pith_short_16","alias_value":"CWF4B7PLXVFRX53L","created_at":"2026-07-05T07:04:13Z"},{"alias_kind":"pith_short_8","alias_value":"CWF4B7PL","created_at":"2026-07-05T07:04:13Z"}],"graph_snapshots":[{"event_id":"sha256:04d7ad645389018fd920479d7d0300dd7e5bfca3744f39334206f1829d7ce242","target":"graph","created_at":"2026-07-05T07:04:13Z","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/2302.14229/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given a document in a source language, cross-lingual summarization (CLS) aims to generate a summary in a different target language. Recently, the emergence of Large Language Models (LLMs), such as GPT-3.5, ChatGPT and GPT-4, has attracted wide attention from the computational linguistics community. However, it is not yet known the performance of LLMs on CLS. In this report, we empirically use various prompts to guide LLMs to perform zero-shot CLS from different paradigms (i.e., end-to-end and pipeline), and provide a preliminary evaluation on the generated summaries. We find that ChatGPT and G","authors_text":"Beiqi Zou, Fandong Meng, Jiaan Wang, Jianfeng Qu, Jie Zhou, Yunlong Liang, Zhixu Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-28T01:27:37Z","title":"Zero-Shot Cross-Lingual Summarization via Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.14229","kind":"arxiv","version":4},"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":"sha256:4a2e9067944a8c7f44132a5aebca0dc756c0f080a9055aa9e6c0dd008436e084","target":"record","created_at":"2026-07-05T07:04:13Z","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":"913585e45fe10fc01cc066a49ba847732da84abdf6cc7da40260b2ace742ef9d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-28T01:27:37Z","title_canon_sha256":"e0f4d173a2f32edfd2280a19b8c0f7ed0eca10563f4cdc643022eed9dd0cf089"},"schema_version":"1.0","source":{"id":"2302.14229","kind":"arxiv","version":4}},"canonical_sha256":"158bc0fdebbd4b1bf76bb3de2ca7af35b2d307a603b15e449f4c26d79ed1a156","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"158bc0fdebbd4b1bf76bb3de2ca7af35b2d307a603b15e449f4c26d79ed1a156","first_computed_at":"2026-07-05T07:04:13.456077Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:13.456077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kUX8nFL6i232Z7iOl3WdS4fP2tTZIxYzlDi21a24U7NAY+Jat/2gnBO6RrW5B8SXsaz6vPxootPAj5WBSJQfAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:13.456551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.14229","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a2e9067944a8c7f44132a5aebca0dc756c0f080a9055aa9e6c0dd008436e084","sha256:04d7ad645389018fd920479d7d0300dd7e5bfca3744f39334206f1829d7ce242"],"state_sha256":"cc04cff3fbae94f75f9ef50dfa2445e774c9801ca5cedac1b4638a1f2cc40459"}