{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QM6KYHHG6RHDIT2Q5JYUW5OT4U","short_pith_number":"pith:QM6KYHHG","canonical_record":{"source":{"id":"2503.15837","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-20T04:26:40Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"10efe16b9a2f715bc2c57a82c16f5c010c16f396a46486585c7e6ffa8e71cafd","abstract_canon_sha256":"321bedfb3c5dad41a4a8734ce7798b84840285ac81f308fcc45bb57284b20f07"},"schema_version":"1.0"},"canonical_sha256":"833cac1ce6f44e344f50ea714b75d3e507b6b29fa89ee971a7a8b5a4fe56048a","source":{"kind":"arxiv","id":"2503.15837","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15837","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15837v1","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15837","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"pith_short_12","alias_value":"QM6KYHHG6RHD","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"pith_short_16","alias_value":"QM6KYHHG6RHDIT2Q","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"pith_short_8","alias_value":"QM6KYHHG","created_at":"2026-07-05T10:35:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QM6KYHHG6RHDIT2Q5JYUW5OT4U","target":"record","payload":{"canonical_record":{"source":{"id":"2503.15837","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-20T04:26:40Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"10efe16b9a2f715bc2c57a82c16f5c010c16f396a46486585c7e6ffa8e71cafd","abstract_canon_sha256":"321bedfb3c5dad41a4a8734ce7798b84840285ac81f308fcc45bb57284b20f07"},"schema_version":"1.0"},"canonical_sha256":"833cac1ce6f44e344f50ea714b75d3e507b6b29fa89ee971a7a8b5a4fe56048a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:35:59.742143Z","signature_b64":"ufjZ41wcPb58/JP6anT3DGu1RlXdfpXjcmqVlzfX3NPpmn33QeBQRMFxEJxXC58fSus6cgkMW60Ldj043DaKBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"833cac1ce6f44e344f50ea714b75d3e507b6b29fa89ee971a7a8b5a4fe56048a","last_reissued_at":"2026-07-05T10:35:59.741493Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:35:59.741493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.15837","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:35:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tTpgqO1g1v7m6NMSjmrbByoI6h1EnmzKSzYePNCskxVArxRmYrn0/3eGQ92w3U7agaUMVBBt0KweRTcjXteGAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:50:51.431878Z"},"content_sha256":"8cc6574623328ed176d248960e1bd011aa6a1f6faa0f86487499616d93cc4021","schema_version":"1.0","event_id":"sha256:8cc6574623328ed176d248960e1bd011aa6a1f6faa0f86487499616d93cc4021"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QM6KYHHG6RHDIT2Q5JYUW5OT4U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"F\\`ux\\`i: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Chenghao Jia, Fang Zhe, Man Lan, Shangqing Zhao, Shu Liu, Yuhao Zhou, Yupei Ren, Zhaogaung Long, Zhe Chen","submitted_at":"2025-03-20T04:26:40Z","abstract_excerpt":"Ancient Chinese text processing presents unique challenges for large language models (LLMs) due to its distinct linguistic features, complex structural constraints, and rich cultural context. While existing benchmarks have primarily focused on evaluating comprehension through multiple-choice questions, there remains a critical gap in assessing models' generative capabilities in classical Chinese. We introduce F\\`ux\\`i, a comprehensive benchmark that evaluates both understanding and generation capabilities across 21 diverse tasks. Our benchmark distinguishes itself through three key contributio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15837","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.15837/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:35:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eb5k2NCbTJa73ru5Bj9R1GEiRhMqvhl9etJ/H0WdpOFgkzejsZmpdL4o+vvomIhJ4DQ/ZneEQau82b5ZT8xoAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T22:50:51.432858Z"},"content_sha256":"c00f8e76eb33937db29107462755e2e9fe8550da628d538ee9f635d46e5f116a","schema_version":"1.0","event_id":"sha256:c00f8e76eb33937db29107462755e2e9fe8550da628d538ee9f635d46e5f116a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QM6KYHHG6RHDIT2Q5JYUW5OT4U/bundle.json","state_url":"https://pith.science/pith/QM6KYHHG6RHDIT2Q5JYUW5OT4U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QM6KYHHG6RHDIT2Q5JYUW5OT4U/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T22:50:51Z","links":{"resolver":"https://pith.science/pith/QM6KYHHG6RHDIT2Q5JYUW5OT4U","bundle":"https://pith.science/pith/QM6KYHHG6RHDIT2Q5JYUW5OT4U/bundle.json","state":"https://pith.science/pith/QM6KYHHG6RHDIT2Q5JYUW5OT4U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QM6KYHHG6RHDIT2Q5JYUW5OT4U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QM6KYHHG6RHDIT2Q5JYUW5OT4U","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":"321bedfb3c5dad41a4a8734ce7798b84840285ac81f308fcc45bb57284b20f07","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-20T04:26:40Z","title_canon_sha256":"10efe16b9a2f715bc2c57a82c16f5c010c16f396a46486585c7e6ffa8e71cafd"},"schema_version":"1.0","source":{"id":"2503.15837","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15837","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15837v1","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15837","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"pith_short_12","alias_value":"QM6KYHHG6RHD","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"pith_short_16","alias_value":"QM6KYHHG6RHDIT2Q","created_at":"2026-07-05T10:35:59Z"},{"alias_kind":"pith_short_8","alias_value":"QM6KYHHG","created_at":"2026-07-05T10:35:59Z"}],"graph_snapshots":[{"event_id":"sha256:c00f8e76eb33937db29107462755e2e9fe8550da628d538ee9f635d46e5f116a","target":"graph","created_at":"2026-07-05T10:35:59Z","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/2503.15837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ancient Chinese text processing presents unique challenges for large language models (LLMs) due to its distinct linguistic features, complex structural constraints, and rich cultural context. While existing benchmarks have primarily focused on evaluating comprehension through multiple-choice questions, there remains a critical gap in assessing models' generative capabilities in classical Chinese. We introduce F\\`ux\\`i, a comprehensive benchmark that evaluates both understanding and generation capabilities across 21 diverse tasks. Our benchmark distinguishes itself through three key contributio","authors_text":"Chenghao Jia, Fang Zhe, Man Lan, Shangqing Zhao, Shu Liu, Yuhao Zhou, Yupei Ren, Zhaogaung Long, Zhe Chen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-20T04:26:40Z","title":"F\\`ux\\`i: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15837","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":"sha256:8cc6574623328ed176d248960e1bd011aa6a1f6faa0f86487499616d93cc4021","target":"record","created_at":"2026-07-05T10:35:59Z","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":"321bedfb3c5dad41a4a8734ce7798b84840285ac81f308fcc45bb57284b20f07","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-20T04:26:40Z","title_canon_sha256":"10efe16b9a2f715bc2c57a82c16f5c010c16f396a46486585c7e6ffa8e71cafd"},"schema_version":"1.0","source":{"id":"2503.15837","kind":"arxiv","version":1}},"canonical_sha256":"833cac1ce6f44e344f50ea714b75d3e507b6b29fa89ee971a7a8b5a4fe56048a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"833cac1ce6f44e344f50ea714b75d3e507b6b29fa89ee971a7a8b5a4fe56048a","first_computed_at":"2026-07-05T10:35:59.741493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:35:59.741493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ufjZ41wcPb58/JP6anT3DGu1RlXdfpXjcmqVlzfX3NPpmn33QeBQRMFxEJxXC58fSus6cgkMW60Ldj043DaKBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:35:59.742143Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.15837","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8cc6574623328ed176d248960e1bd011aa6a1f6faa0f86487499616d93cc4021","sha256:c00f8e76eb33937db29107462755e2e9fe8550da628d538ee9f635d46e5f116a"],"state_sha256":"49c4b52e066218592d64d89cd5b32465db7795d70ae367277feeb34e70a69b51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x/Qgi6i/hhowUOfrCp2DI5XjO2bh9sA+iyPLWNhYJj+wJ//ggOxb9+JykFaNqOWZYEIHrIwiRzauAM5rZk8RDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T22:50:51.500629Z","bundle_sha256":"585916e3e71534fc1e2e092e5743b745983d8a59000809b335ffab31cd50e019"}}