{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FCGSPGMVQDPEEKFCBB3EV5BSFF","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":"a4e70c2ca1b2952fe33289e5d96731a0c7c2c24dd8edce0a5e5c4695b565aa74","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-02T16:20:40Z","title_canon_sha256":"9709c15bc5d8c8f815a2d0b5041f341f78c9897f2fd346c6706e8d7d8ad185a2"},"schema_version":"1.0","source":{"id":"2401.01275","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.01275","created_at":"2026-07-05T07:31:36Z"},{"alias_kind":"arxiv_version","alias_value":"2401.01275v2","created_at":"2026-07-05T07:31:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01275","created_at":"2026-07-05T07:31:36Z"},{"alias_kind":"pith_short_12","alias_value":"FCGSPGMVQDPE","created_at":"2026-07-05T07:31:36Z"},{"alias_kind":"pith_short_16","alias_value":"FCGSPGMVQDPEEKFC","created_at":"2026-07-05T07:31:36Z"},{"alias_kind":"pith_short_8","alias_value":"FCGSPGMV","created_at":"2026-07-05T07:31:36Z"}],"graph_snapshots":[{"event_id":"sha256:1c1f6d1645d2d7d91bfe3442ff1d4a5d7a0d77ad48a4c213cdbe580170aeb23a","target":"graph","created_at":"2026-07-05T07:31:36Z","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/2401.01275/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, the advent of large language models (LLMs) has revolutionized generative agents. Among them, Role-Playing Conversational Agents (RPCAs) attract considerable attention due to their ability to emotionally engage users. However, the absence of a comprehensive benchmark impedes progress in this field. To bridge this gap, we introduce CharacterEval, a Chinese benchmark for comprehensive RPCA assessment, complemented by a tailored high-quality dataset. The dataset comprises 1,785 multi-turn role-playing dialogues, encompassing 23,020 examples and featuring 77 characters derived from Chines","authors_text":"Quan Tu, Rui Yan, Shilong Fan, Zihang Tian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-02T16:20:40Z","title":"CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01275","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":"sha256:0cf8ca1f52d976d4bc8b6fd81d9dcfc3b959d4346bd7091588c2c51ce3bb5bf2","target":"record","created_at":"2026-07-05T07:31:36Z","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":"a4e70c2ca1b2952fe33289e5d96731a0c7c2c24dd8edce0a5e5c4695b565aa74","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-02T16:20:40Z","title_canon_sha256":"9709c15bc5d8c8f815a2d0b5041f341f78c9897f2fd346c6706e8d7d8ad185a2"},"schema_version":"1.0","source":{"id":"2401.01275","kind":"arxiv","version":2}},"canonical_sha256":"288d27999580de4228a208764af43229576536e589a3e7c8819bdfc80780c840","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"288d27999580de4228a208764af43229576536e589a3e7c8819bdfc80780c840","first_computed_at":"2026-07-05T07:31:36.539081Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:31:36.539081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VF9HpTphsuXbQJ+nWqZ+EI9Hh1H6RigNqX12Cicx2+U3cE57vbxjw7m9pa8XMSNeh6+uT3PyQ5uE1aqLKBeBAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:31:36.539578Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.01275","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cf8ca1f52d976d4bc8b6fd81d9dcfc3b959d4346bd7091588c2c51ce3bb5bf2","sha256:1c1f6d1645d2d7d91bfe3442ff1d4a5d7a0d77ad48a4c213cdbe580170aeb23a"],"state_sha256":"1f047218825109eb54d92b1b589f0e34d24bd74e63530ba476b31302dfaddcdc"}