{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:O2DOILIYCIFABBJGKM5IUU32HF","short_pith_number":"pith:O2DOILIY","canonical_record":{"source":{"id":"2004.03588","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-04-07T02:08:04Z","cross_cats_sorted":[],"title_canon_sha256":"e46e93d209736e79305cc48c07784620d0b8877a22ec3cda60aff13065c3e531","abstract_canon_sha256":"45196f5cd5ceedcb7336426ed2c1012f8bd60c9086728739879cdccb0b16852f"},"schema_version":"1.0"},"canonical_sha256":"7686e42d18120a008526533a8a537a397ed1bac8ff57ac6f56ad3089d3682156","source":{"kind":"arxiv","id":"2004.03588","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.03588","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"arxiv_version","alias_value":"2004.03588v2","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.03588","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"pith_short_12","alias_value":"O2DOILIYCIFA","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"pith_short_16","alias_value":"O2DOILIYCIFABBJG","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"pith_short_8","alias_value":"O2DOILIY","created_at":"2026-07-05T01:23:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:O2DOILIYCIFABBJGKM5IUU32HF","target":"record","payload":{"canonical_record":{"source":{"id":"2004.03588","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-04-07T02:08:04Z","cross_cats_sorted":[],"title_canon_sha256":"e46e93d209736e79305cc48c07784620d0b8877a22ec3cda60aff13065c3e531","abstract_canon_sha256":"45196f5cd5ceedcb7336426ed2c1012f8bd60c9086728739879cdccb0b16852f"},"schema_version":"1.0"},"canonical_sha256":"7686e42d18120a008526533a8a537a397ed1bac8ff57ac6f56ad3089d3682156","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:23:24.385641Z","signature_b64":"7tRMWsPOVHnB3LJYi9ZbVNxtDgzSI6ZS6kWZXkQdBIkWlQQZgSe0yC+TW7ex8zRPbsWg42NuQGvwZvnbpJVdCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7686e42d18120a008526533a8a537a397ed1bac8ff57ac6f56ad3089d3682156","last_reissued_at":"2026-07-05T01:23:24.385155Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:23:24.385155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.03588","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:23:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Uc4N46wj3wpTmo4S4aLa/lRorDUSeFnWgt7spk5GFLsmXlXnPPZjVDiU3vtwXO8nUFpTPcTyVTb93/NzBZfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:04:38.481638Z"},"content_sha256":"885d79f135e24b5d0c742ffbffb06216e6d3538713c85957e2ed5ec7617f409c","schema_version":"1.0","event_id":"sha256:885d79f135e24b5d0c742ffbffb06216e6d3538713c85957e2ed5ec7617f409c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:O2DOILIYCIFABBJGKM5IUU32HF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jia-Chen Gu, Quan Liu, Si Wei, Tianda Li, Xiaodan Zhu, Zhen-Hua Ling, Zhiming Su","submitted_at":"2020-04-07T02:08:04Z","abstract_excerpt":"In this paper, we study the problem of employing pre-trained language models for multi-turn response selection in retrieval-based chatbots. A new model, named Speaker-Aware BERT (SA-BERT), is proposed in order to make the model aware of the speaker change information, which is an important and intrinsic property of multi-turn dialogues. Furthermore, a speaker-aware disentanglement strategy is proposed to tackle the entangled dialogues. This strategy selects a small number of most important utterances as the filtered context according to the speakers' information in them. Finally, domain adapta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.03588","kind":"arxiv","version":2},"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/2004.03588/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":"2026-07-05T01:23:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JAt7KfTXj9OA9437S2zUXRY6sXch55C/1vWVZM7k5sCdEQ4UBwdZRleDXUqDLh26UEZYeRzWtOGFdj8iCm7hDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:04:38.482006Z"},"content_sha256":"6692ec9ef1e5e7e5ae71aea66ab14deb7f1d99fbe5fceb10793f962894ac6dd5","schema_version":"1.0","event_id":"sha256:6692ec9ef1e5e7e5ae71aea66ab14deb7f1d99fbe5fceb10793f962894ac6dd5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O2DOILIYCIFABBJGKM5IUU32HF/bundle.json","state_url":"https://pith.science/pith/O2DOILIYCIFABBJGKM5IUU32HF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O2DOILIYCIFABBJGKM5IUU32HF/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":"2026-07-08T23:04:38Z","links":{"resolver":"https://pith.science/pith/O2DOILIYCIFABBJGKM5IUU32HF","bundle":"https://pith.science/pith/O2DOILIYCIFABBJGKM5IUU32HF/bundle.json","state":"https://pith.science/pith/O2DOILIYCIFABBJGKM5IUU32HF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O2DOILIYCIFABBJGKM5IUU32HF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:O2DOILIYCIFABBJGKM5IUU32HF","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":"45196f5cd5ceedcb7336426ed2c1012f8bd60c9086728739879cdccb0b16852f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-04-07T02:08:04Z","title_canon_sha256":"e46e93d209736e79305cc48c07784620d0b8877a22ec3cda60aff13065c3e531"},"schema_version":"1.0","source":{"id":"2004.03588","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.03588","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"arxiv_version","alias_value":"2004.03588v2","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.03588","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"pith_short_12","alias_value":"O2DOILIYCIFA","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"pith_short_16","alias_value":"O2DOILIYCIFABBJG","created_at":"2026-07-05T01:23:24Z"},{"alias_kind":"pith_short_8","alias_value":"O2DOILIY","created_at":"2026-07-05T01:23:24Z"}],"graph_snapshots":[{"event_id":"sha256:6692ec9ef1e5e7e5ae71aea66ab14deb7f1d99fbe5fceb10793f962894ac6dd5","target":"graph","created_at":"2026-07-05T01:23:24Z","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/2004.03588/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we study the problem of employing pre-trained language models for multi-turn response selection in retrieval-based chatbots. A new model, named Speaker-Aware BERT (SA-BERT), is proposed in order to make the model aware of the speaker change information, which is an important and intrinsic property of multi-turn dialogues. Furthermore, a speaker-aware disentanglement strategy is proposed to tackle the entangled dialogues. This strategy selects a small number of most important utterances as the filtered context according to the speakers' information in them. Finally, domain adapta","authors_text":"Jia-Chen Gu, Quan Liu, Si Wei, Tianda Li, Xiaodan Zhu, Zhen-Hua Ling, Zhiming Su","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-04-07T02:08:04Z","title":"Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.03588","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":"sha256:885d79f135e24b5d0c742ffbffb06216e6d3538713c85957e2ed5ec7617f409c","target":"record","created_at":"2026-07-05T01:23:24Z","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":"45196f5cd5ceedcb7336426ed2c1012f8bd60c9086728739879cdccb0b16852f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-04-07T02:08:04Z","title_canon_sha256":"e46e93d209736e79305cc48c07784620d0b8877a22ec3cda60aff13065c3e531"},"schema_version":"1.0","source":{"id":"2004.03588","kind":"arxiv","version":2}},"canonical_sha256":"7686e42d18120a008526533a8a537a397ed1bac8ff57ac6f56ad3089d3682156","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7686e42d18120a008526533a8a537a397ed1bac8ff57ac6f56ad3089d3682156","first_computed_at":"2026-07-05T01:23:24.385155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:23:24.385155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7tRMWsPOVHnB3LJYi9ZbVNxtDgzSI6ZS6kWZXkQdBIkWlQQZgSe0yC+TW7ex8zRPbsWg42NuQGvwZvnbpJVdCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:23:24.385641Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.03588","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:885d79f135e24b5d0c742ffbffb06216e6d3538713c85957e2ed5ec7617f409c","sha256:6692ec9ef1e5e7e5ae71aea66ab14deb7f1d99fbe5fceb10793f962894ac6dd5"],"state_sha256":"89181b1f818640543c6869de5481300b9680eb73d6f6a7d87fc4ff249d845ad3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WAfs15klhyZ9J8AdhmEAt0JaoQWSwtZqfx0u0NTI74TSkL/dA58Z4wW+pikoMLoGCDKXV8TGK3s99nrH9cgPAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T23:04:38.484022Z","bundle_sha256":"81612ebe43c847db7e71c0d672aff54aa29351ce90551c641979cad3e2b94c9d"}}