{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:GTSWCINAFQMCOK5JDD5C4SF34G","short_pith_number":"pith:GTSWCINA","canonical_record":{"source":{"id":"2310.08496","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:55:44Z","cross_cats_sorted":[],"title_canon_sha256":"9a5d8b21d77083f0b77a64e421a33fd899a8d4ec54da64f41dd7c1c89f32e0c4","abstract_canon_sha256":"8be39b88cddca8c06d265c1b67083a132b102fefa83d8e07eda49300fa07ec15"},"schema_version":"1.0"},"canonical_sha256":"34e56121a02c18272ba918fa2e48bbe1a884b8d3cf86fbbcb293956b7e435f8a","source":{"kind":"arxiv","id":"2310.08496","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08496","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08496v1","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08496","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"pith_short_12","alias_value":"GTSWCINAFQMC","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"pith_short_16","alias_value":"GTSWCINAFQMCOK5J","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"pith_short_8","alias_value":"GTSWCINA","created_at":"2026-07-05T07:00:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:GTSWCINAFQMCOK5JDD5C4SF34G","target":"record","payload":{"canonical_record":{"source":{"id":"2310.08496","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:55:44Z","cross_cats_sorted":[],"title_canon_sha256":"9a5d8b21d77083f0b77a64e421a33fd899a8d4ec54da64f41dd7c1c89f32e0c4","abstract_canon_sha256":"8be39b88cddca8c06d265c1b67083a132b102fefa83d8e07eda49300fa07ec15"},"schema_version":"1.0"},"canonical_sha256":"34e56121a02c18272ba918fa2e48bbe1a884b8d3cf86fbbcb293956b7e435f8a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:16.381065Z","signature_b64":"NFEeWn/odrzTejGzQqupDUago95/dGTQy6QRk85ZeeP91B/IMViGq20oqthtC41+VhW+qfa66yntCj/D+59cBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34e56121a02c18272ba918fa2e48bbe1a884b8d3cf86fbbcb293956b7e435f8a","last_reissued_at":"2026-07-05T07:00:16.380661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:16.380661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.08496","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":"2026-07-05T07:00:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N0te7V/sQ/3wFWV6r2eoo5nGtmy0+MyPxaWpg8/Qd+R/t0W044Xz7dD+2aL4JW2+ndoIL1NHyEQs9b2S/5uXAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T19:10:12.181870Z"},"content_sha256":"14b711c8f9f223a0bb43e8a9b4801852544462138f7ac94004cd3b0837580a57","schema_version":"1.0","event_id":"sha256:14b711c8f9f223a0bb43e8a9b4801852544462138f7ac94004cd3b0837580a57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:GTSWCINAFQMCOK5JDD5C4SF34G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Pengyu Wang, Zhichen Ren","submitted_at":"2023-10-12T16:55:44Z","abstract_excerpt":"Automatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare. Ancient text division and lexical annotation are important parts of classical literature comprehension, and previous studies have tried to construct auxiliary dictionary and other fused knowledge to improve the performance. In this paper, we propose a framework for ancient Chinese Word Segmentation and Part-of-Speech Tagging that makes a twofold effort: on the one hand, we try to capture the wordhood semantics; on the other hand, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08496","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/2310.08496/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":"2026-07-05T07:00:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DXKvp/DbkvTbvVwJl893UihS7Y/RGFhIGqjXWkSujFFGN/uIhLlRHGm7MGTN75Bb77ST1LPwJF/mKfBLTRtNBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T19:10:12.182381Z"},"content_sha256":"aa8dde263f6872809109c1d8d61d2338a7cbc5cfbb60c100ecdac0856e2367a2","schema_version":"1.0","event_id":"sha256:aa8dde263f6872809109c1d8d61d2338a7cbc5cfbb60c100ecdac0856e2367a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GTSWCINAFQMCOK5JDD5C4SF34G/bundle.json","state_url":"https://pith.science/pith/GTSWCINAFQMCOK5JDD5C4SF34G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GTSWCINAFQMCOK5JDD5C4SF34G/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":"2026-08-10T19:10:12Z","links":{"resolver":"https://pith.science/pith/GTSWCINAFQMCOK5JDD5C4SF34G","bundle":"https://pith.science/pith/GTSWCINAFQMCOK5JDD5C4SF34G/bundle.json","state":"https://pith.science/pith/GTSWCINAFQMCOK5JDD5C4SF34G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GTSWCINAFQMCOK5JDD5C4SF34G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GTSWCINAFQMCOK5JDD5C4SF34G","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":"8be39b88cddca8c06d265c1b67083a132b102fefa83d8e07eda49300fa07ec15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:55:44Z","title_canon_sha256":"9a5d8b21d77083f0b77a64e421a33fd899a8d4ec54da64f41dd7c1c89f32e0c4"},"schema_version":"1.0","source":{"id":"2310.08496","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08496","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08496v1","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08496","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"pith_short_12","alias_value":"GTSWCINAFQMC","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"pith_short_16","alias_value":"GTSWCINAFQMCOK5J","created_at":"2026-07-05T07:00:16Z"},{"alias_kind":"pith_short_8","alias_value":"GTSWCINA","created_at":"2026-07-05T07:00:16Z"}],"graph_snapshots":[{"event_id":"sha256:aa8dde263f6872809109c1d8d61d2338a7cbc5cfbb60c100ecdac0856e2367a2","target":"graph","created_at":"2026-07-05T07:00:16Z","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/2310.08496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare. Ancient text division and lexical annotation are important parts of classical literature comprehension, and previous studies have tried to construct auxiliary dictionary and other fused knowledge to improve the performance. In this paper, we propose a framework for ancient Chinese Word Segmentation and Part-of-Speech Tagging that makes a twofold effort: on the one hand, we try to capture the wordhood semantics; on the other hand, w","authors_text":"Pengyu Wang, Zhichen Ren","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:55:44Z","title":"The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08496","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":"sha256:14b711c8f9f223a0bb43e8a9b4801852544462138f7ac94004cd3b0837580a57","target":"record","created_at":"2026-07-05T07:00:16Z","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":"8be39b88cddca8c06d265c1b67083a132b102fefa83d8e07eda49300fa07ec15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:55:44Z","title_canon_sha256":"9a5d8b21d77083f0b77a64e421a33fd899a8d4ec54da64f41dd7c1c89f32e0c4"},"schema_version":"1.0","source":{"id":"2310.08496","kind":"arxiv","version":1}},"canonical_sha256":"34e56121a02c18272ba918fa2e48bbe1a884b8d3cf86fbbcb293956b7e435f8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34e56121a02c18272ba918fa2e48bbe1a884b8d3cf86fbbcb293956b7e435f8a","first_computed_at":"2026-07-05T07:00:16.380661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:00:16.380661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NFEeWn/odrzTejGzQqupDUago95/dGTQy6QRk85ZeeP91B/IMViGq20oqthtC41+VhW+qfa66yntCj/D+59cBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:00:16.381065Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08496","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14b711c8f9f223a0bb43e8a9b4801852544462138f7ac94004cd3b0837580a57","sha256:aa8dde263f6872809109c1d8d61d2338a7cbc5cfbb60c100ecdac0856e2367a2"],"state_sha256":"c1826f33d52377a5b3b4315d0ad08c0a12489f6eb865700d7b74307a78fc1fcd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wjNXSWAfBiUIRmZciK4ymtjwpB/GJCxUMo3fz/h60O4iIgLVW9R8gdLybDI9aszOckIuEJmq5O5C30nDTRD7Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T19:10:12.187239Z","bundle_sha256":"624113e30fe5052d73afa4bf6cf465a36c9dc164afbe5797630cbd5debd6681e"}}