{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:USNRDBEXMSEBXQKZ6C757SOFV5","short_pith_number":"pith:USNRDBEX","canonical_record":{"source":{"id":"2111.04933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-09T03:31:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f409b7cb3000e135726cc97af50545703fbf4c55e85b7781a4b02dd49cc62098","abstract_canon_sha256":"d576a6827d8ebd771334880fe6138370d571318bbc49dced4d27e18021899b7a"},"schema_version":"1.0"},"canonical_sha256":"a49b11849764881bc159f0bfdfc9c5af6a4e49c4d75fab3f42ac8ecf7e6aa24c","source":{"kind":"arxiv","id":"2111.04933","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.04933","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"arxiv_version","alias_value":"2111.04933v1","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.04933","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"pith_short_12","alias_value":"USNRDBEXMSEB","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"USNRDBEXMSEBXQKZ","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"USNRDBEX","created_at":"2026-07-05T03:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:USNRDBEXMSEBXQKZ6C757SOFV5","target":"record","payload":{"canonical_record":{"source":{"id":"2111.04933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-09T03:31:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f409b7cb3000e135726cc97af50545703fbf4c55e85b7781a4b02dd49cc62098","abstract_canon_sha256":"d576a6827d8ebd771334880fe6138370d571318bbc49dced4d27e18021899b7a"},"schema_version":"1.0"},"canonical_sha256":"a49b11849764881bc159f0bfdfc9c5af6a4e49c4d75fab3f42ac8ecf7e6aa24c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:30:19.625210Z","signature_b64":"r9XWSCT5t4fwvknXp3N27XCQC9Xjv6ng/TLDhTmUhmMT9SHWZX9jGIJpdhxzYBoE8FgFPxY2w1KpQzpy9n2DDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a49b11849764881bc159f0bfdfc9c5af6a4e49c4d75fab3f42ac8ecf7e6aa24c","last_reissued_at":"2026-07-05T03:30:19.624813Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:30:19.624813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.04933","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":"2026-07-05T03:30:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S+I+9RdH9tNvmchN9OoKufOxqX6yn0ZqxVi8Gu9f/rMBhMFyBpi30ZxXk0YFqZv+r85RFREzK+kvXH6iCfemCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:12:30.320057Z"},"content_sha256":"3a40c6c261dd9153d5e506345d3c5086edca112f6305e023f5d80617e15d49d1","schema_version":"1.0","event_id":"sha256:3a40c6c261dd9153d5e506345d3c5086edca112f6305e023f5d80617e15d49d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:USNRDBEXMSEBXQKZ6C757SOFV5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DSBERT:Unsupervised Dialogue Structure learning with BERT","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bingkun Chen, Lei Liao, Shaobing Dai, Shenghua Zheng, Yang Li","submitted_at":"2021-11-09T03:31:18Z","abstract_excerpt":"Unsupervised dialogue structure learning is an important and meaningful task in natural language processing. The extracted dialogue structure and process can help analyze human dialogue, and play a vital role in the design and evaluation of dialogue systems. The traditional dialogue system requires experts to manually design the dialogue structure, which is very costly. But through unsupervised dialogue structure learning, dialogue structure can be automatically obtained, reducing the cost of developers constructing dialogue process. The learned dialogue structure can be used to promote the di"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.04933","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/2111.04933/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":"2026-07-05T03:30:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VVDvDmrSKBsHwLbSKwvqS4lLTXHEymrggcyE7AedUNCzX6lQeKHr/+0lH40bOUVCudyo3tyZdtLoIqz06z1PCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:12:30.320543Z"},"content_sha256":"aca46d19ca302bdf1da3792af2f3d44cc4a55ddf2e87a6034b87364123bee433","schema_version":"1.0","event_id":"sha256:aca46d19ca302bdf1da3792af2f3d44cc4a55ddf2e87a6034b87364123bee433"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/USNRDBEXMSEBXQKZ6C757SOFV5/bundle.json","state_url":"https://pith.science/pith/USNRDBEXMSEBXQKZ6C757SOFV5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/USNRDBEXMSEBXQKZ6C757SOFV5/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":"2026-08-05T21:12:30Z","links":{"resolver":"https://pith.science/pith/USNRDBEXMSEBXQKZ6C757SOFV5","bundle":"https://pith.science/pith/USNRDBEXMSEBXQKZ6C757SOFV5/bundle.json","state":"https://pith.science/pith/USNRDBEXMSEBXQKZ6C757SOFV5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/USNRDBEXMSEBXQKZ6C757SOFV5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:USNRDBEXMSEBXQKZ6C757SOFV5","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":"d576a6827d8ebd771334880fe6138370d571318bbc49dced4d27e18021899b7a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-09T03:31:18Z","title_canon_sha256":"f409b7cb3000e135726cc97af50545703fbf4c55e85b7781a4b02dd49cc62098"},"schema_version":"1.0","source":{"id":"2111.04933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.04933","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"arxiv_version","alias_value":"2111.04933v1","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.04933","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"pith_short_12","alias_value":"USNRDBEXMSEB","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"USNRDBEXMSEBXQKZ","created_at":"2026-07-05T03:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"USNRDBEX","created_at":"2026-07-05T03:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:aca46d19ca302bdf1da3792af2f3d44cc4a55ddf2e87a6034b87364123bee433","target":"graph","created_at":"2026-07-05T03:30:19Z","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/2111.04933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised dialogue structure learning is an important and meaningful task in natural language processing. The extracted dialogue structure and process can help analyze human dialogue, and play a vital role in the design and evaluation of dialogue systems. The traditional dialogue system requires experts to manually design the dialogue structure, which is very costly. But through unsupervised dialogue structure learning, dialogue structure can be automatically obtained, reducing the cost of developers constructing dialogue process. The learned dialogue structure can be used to promote the di","authors_text":"Bingkun Chen, Lei Liao, Shaobing Dai, Shenghua Zheng, Yang Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-09T03:31:18Z","title":"DSBERT:Unsupervised Dialogue Structure learning with BERT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.04933","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":"sha256:3a40c6c261dd9153d5e506345d3c5086edca112f6305e023f5d80617e15d49d1","target":"record","created_at":"2026-07-05T03:30:19Z","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":"d576a6827d8ebd771334880fe6138370d571318bbc49dced4d27e18021899b7a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-09T03:31:18Z","title_canon_sha256":"f409b7cb3000e135726cc97af50545703fbf4c55e85b7781a4b02dd49cc62098"},"schema_version":"1.0","source":{"id":"2111.04933","kind":"arxiv","version":1}},"canonical_sha256":"a49b11849764881bc159f0bfdfc9c5af6a4e49c4d75fab3f42ac8ecf7e6aa24c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a49b11849764881bc159f0bfdfc9c5af6a4e49c4d75fab3f42ac8ecf7e6aa24c","first_computed_at":"2026-07-05T03:30:19.624813Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:30:19.624813Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r9XWSCT5t4fwvknXp3N27XCQC9Xjv6ng/TLDhTmUhmMT9SHWZX9jGIJpdhxzYBoE8FgFPxY2w1KpQzpy9n2DDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:30:19.625210Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.04933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a40c6c261dd9153d5e506345d3c5086edca112f6305e023f5d80617e15d49d1","sha256:aca46d19ca302bdf1da3792af2f3d44cc4a55ddf2e87a6034b87364123bee433"],"state_sha256":"06f3af921a52ef178226fab6e0cd9d70cee93e87ab76645633c3e287f7a7bacb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W01RGAQubNvpbQgtZ8AmiKv0pFp3yMIxmjrlBj3woFD5potNVkb72h1qN5JwwC+SznB9Ib0qs/8FV0mI+lKcAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:12:30.325533Z","bundle_sha256":"eff0526a8b72358bb64e82abea9918247e7c2cae9c37dc123a68edf7b5e9660e"}}