{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:2BMLPVV3DK3E4XW7QNNY3HTH3L","short_pith_number":"pith:2BMLPVV3","canonical_record":{"source":{"id":"1911.09969","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T10:55:50Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"293b6f8b592ec2d59d373ce4e19154061651fd118809a13e9993ed5f4e1749d5","abstract_canon_sha256":"608ce31fbf64df951bf06fcb6bc8bdb2a38f7dcc5aa8b816a334ae8a07fe2d8d"},"schema_version":"1.0"},"canonical_sha256":"d058b7d6bb1ab64e5edf835b8d9e67dae659369134d43b8d96c16e6ded161a57","source":{"kind":"arxiv","id":"1911.09969","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.09969","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1911.09969v4","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.09969","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"2BMLPVV3DK3E","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"pith_short_16","alias_value":"2BMLPVV3DK3E4XW7","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"pith_short_8","alias_value":"2BMLPVV3","created_at":"2026-07-05T00:50:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:2BMLPVV3DK3E4XW7QNNY3HTH3L","target":"record","payload":{"canonical_record":{"source":{"id":"1911.09969","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T10:55:50Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"293b6f8b592ec2d59d373ce4e19154061651fd118809a13e9993ed5f4e1749d5","abstract_canon_sha256":"608ce31fbf64df951bf06fcb6bc8bdb2a38f7dcc5aa8b816a334ae8a07fe2d8d"},"schema_version":"1.0"},"canonical_sha256":"d058b7d6bb1ab64e5edf835b8d9e67dae659369134d43b8d96c16e6ded161a57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:50:09.957872Z","signature_b64":"gsZMJ2nKtATLJ+9tSpcxHmsOpUcDT3bTYfs5wCLF/68WED75vsgnW0pkWgZzD7r1oDjGimpOsGWf4c7JiT5VAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d058b7d6bb1ab64e5edf835b8d9e67dae659369134d43b8d96c16e6ded161a57","last_reissued_at":"2026-07-05T00:50:09.957385Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:50:09.957385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.09969","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"80lM8KXkUgoWqzs/KrToqidYfH6uHvb39k6KdumkCzQdzJjv0jqxt2pqI2vVmHoUhgt/+65m10YGyo4D05IuCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T14:39:42.206536Z"},"content_sha256":"7427b097475535ba2729498ffc6e2c2940d30dbb4232545ff8813a2555d3ff7b","schema_version":"1.0","event_id":"sha256:7427b097475535ba2729498ffc6e2c2940d30dbb4232545ff8813a2555d3ff7b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:2BMLPVV3DK3E4XW7QNNY3HTH3L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CL","authors_text":"Bowen Zhou, Jingyan Zhou, Lei Shen, Meng Chen, Ruixue Liu, Shaozu Yuan, Xiaodong He, Youzheng Wu","submitted_at":"2019-11-22T10:55:50Z","abstract_excerpt":"Human conversations are complicated and building a human-like dialogue agent is an extremely challenging task. With the rapid development of deep learning techniques, data-driven models become more and more prevalent which need a huge amount of real conversation data. In this paper, we construct a large-scale real scenario Chinese E-commerce conversation corpus, JDDC, with more than 1 million multi-turn dialogues, 20 million utterances, and 150 million words. The dataset reflects several characteristics of human-human conversations, e.g., goal-driven, and long-term dependency among the context"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.09969","kind":"arxiv","version":4},"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/1911.09969/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":"2026-07-05T00:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fN9YJxhiLaJy6XwNjNol4PKdkJHjk7ajPTE9gub7vx7RsflH59m3T8s+Z2bwlxsD0Tjbt8tmvFqiTLAT9/arDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T14:39:42.206894Z"},"content_sha256":"b9161d1c52d10c5ab5222b67215f787fb6cb3133b04d056cf419f7298fc7a919","schema_version":"1.0","event_id":"sha256:b9161d1c52d10c5ab5222b67215f787fb6cb3133b04d056cf419f7298fc7a919"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2BMLPVV3DK3E4XW7QNNY3HTH3L/bundle.json","state_url":"https://pith.science/pith/2BMLPVV3DK3E4XW7QNNY3HTH3L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2BMLPVV3DK3E4XW7QNNY3HTH3L/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":"2026-08-18T14:39:42Z","links":{"resolver":"https://pith.science/pith/2BMLPVV3DK3E4XW7QNNY3HTH3L","bundle":"https://pith.science/pith/2BMLPVV3DK3E4XW7QNNY3HTH3L/bundle.json","state":"https://pith.science/pith/2BMLPVV3DK3E4XW7QNNY3HTH3L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2BMLPVV3DK3E4XW7QNNY3HTH3L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:2BMLPVV3DK3E4XW7QNNY3HTH3L","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":"608ce31fbf64df951bf06fcb6bc8bdb2a38f7dcc5aa8b816a334ae8a07fe2d8d","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T10:55:50Z","title_canon_sha256":"293b6f8b592ec2d59d373ce4e19154061651fd118809a13e9993ed5f4e1749d5"},"schema_version":"1.0","source":{"id":"1911.09969","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.09969","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1911.09969v4","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.09969","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"2BMLPVV3DK3E","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"pith_short_16","alias_value":"2BMLPVV3DK3E4XW7","created_at":"2026-07-05T00:50:09Z"},{"alias_kind":"pith_short_8","alias_value":"2BMLPVV3","created_at":"2026-07-05T00:50:09Z"}],"graph_snapshots":[{"event_id":"sha256:b9161d1c52d10c5ab5222b67215f787fb6cb3133b04d056cf419f7298fc7a919","target":"graph","created_at":"2026-07-05T00:50:09Z","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/1911.09969/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human conversations are complicated and building a human-like dialogue agent is an extremely challenging task. With the rapid development of deep learning techniques, data-driven models become more and more prevalent which need a huge amount of real conversation data. In this paper, we construct a large-scale real scenario Chinese E-commerce conversation corpus, JDDC, with more than 1 million multi-turn dialogues, 20 million utterances, and 150 million words. The dataset reflects several characteristics of human-human conversations, e.g., goal-driven, and long-term dependency among the context","authors_text":"Bowen Zhou, Jingyan Zhou, Lei Shen, Meng Chen, Ruixue Liu, Shaozu Yuan, Xiaodong He, Youzheng Wu","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T10:55:50Z","title":"The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.09969","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":"sha256:7427b097475535ba2729498ffc6e2c2940d30dbb4232545ff8813a2555d3ff7b","target":"record","created_at":"2026-07-05T00:50:09Z","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":"608ce31fbf64df951bf06fcb6bc8bdb2a38f7dcc5aa8b816a334ae8a07fe2d8d","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-22T10:55:50Z","title_canon_sha256":"293b6f8b592ec2d59d373ce4e19154061651fd118809a13e9993ed5f4e1749d5"},"schema_version":"1.0","source":{"id":"1911.09969","kind":"arxiv","version":4}},"canonical_sha256":"d058b7d6bb1ab64e5edf835b8d9e67dae659369134d43b8d96c16e6ded161a57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d058b7d6bb1ab64e5edf835b8d9e67dae659369134d43b8d96c16e6ded161a57","first_computed_at":"2026-07-05T00:50:09.957385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:50:09.957385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gsZMJ2nKtATLJ+9tSpcxHmsOpUcDT3bTYfs5wCLF/68WED75vsgnW0pkWgZzD7r1oDjGimpOsGWf4c7JiT5VAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:50:09.957872Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.09969","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7427b097475535ba2729498ffc6e2c2940d30dbb4232545ff8813a2555d3ff7b","sha256:b9161d1c52d10c5ab5222b67215f787fb6cb3133b04d056cf419f7298fc7a919"],"state_sha256":"613685b4cec7f8949dadddcda1592be8bb14dd3cb38175e584a36e0b1cc17f3b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SugmBfv8JHH1tdGpow0w2fnfLbZmFuOH/47fI0WfjJJcFy/wE7AEycoMwXTq3KC80p29QGgcp6/M1dutvbiHDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T14:39:42.210435Z","bundle_sha256":"48f63879785c003d76a9a9919887cf9815b9e3a960e2cb3ccc47b700d72c1cde"}}