{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:UEJOQXUIQ373AOB5SRT24HNNAI","short_pith_number":"pith:UEJOQXUI","canonical_record":{"source":{"id":"2208.04565","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-09T07:05:14Z","cross_cats_sorted":[],"title_canon_sha256":"e3e9d9d7aba179a53cb7321835ca8192d251ea21cdf9b136b1a9b779c27a62cb","abstract_canon_sha256":"3a3a079b3e4d22e7c99e97b6ccd900249a454d9bfe951491711c008e3e7c5e4d"},"schema_version":"1.0"},"canonical_sha256":"a112e85e8886ffb0383d9467ae1dad0239ba6b3a34b5f75b3cf60dc526754e25","source":{"kind":"arxiv","id":"2208.04565","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04565","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04565v2","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04565","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"pith_short_12","alias_value":"UEJOQXUIQ373","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"pith_short_16","alias_value":"UEJOQXUIQ373AOB5","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"pith_short_8","alias_value":"UEJOQXUI","created_at":"2026-07-05T04:47:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:UEJOQXUIQ373AOB5SRT24HNNAI","target":"record","payload":{"canonical_record":{"source":{"id":"2208.04565","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-09T07:05:14Z","cross_cats_sorted":[],"title_canon_sha256":"e3e9d9d7aba179a53cb7321835ca8192d251ea21cdf9b136b1a9b779c27a62cb","abstract_canon_sha256":"3a3a079b3e4d22e7c99e97b6ccd900249a454d9bfe951491711c008e3e7c5e4d"},"schema_version":"1.0"},"canonical_sha256":"a112e85e8886ffb0383d9467ae1dad0239ba6b3a34b5f75b3cf60dc526754e25","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:47:29.910889Z","signature_b64":"9crl3Y24SXXEvEwhJTWXGXbMJeUPQHfP7e8a78QAAF8SohckUgWAFZHZ+wcv6UV4HwSqyFHJsMR3EHStzopaDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a112e85e8886ffb0383d9467ae1dad0239ba6b3a34b5f75b3cf60dc526754e25","last_reissued_at":"2026-07-05T04:47:29.910416Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:47:29.910416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.04565","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":"2026-07-05T04:47:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4DBarPFVpqKKfwRT2jMBYyEyGNH+vlRht6Av6CvSr0i1aMklV5botAeITMRP5/G5pXkgOj1dbSI7JDe47snhDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:07:01.111152Z"},"content_sha256":"821a7d9e266b0d7fffd2f30018e650625de49d5e2848fce5d3f429db0ac50d06","schema_version":"1.0","event_id":"sha256:821a7d9e266b0d7fffd2f30018e650625de49d5e2848fce5d3f429db0ac50d06"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:UEJOQXUIQ373AOB5SRT24HNNAI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chong Hsuan Huang, Haoran Wang, Wei Peng, Weixuan Wang","submitted_at":"2022-08-09T07:05:14Z","abstract_excerpt":"In this paper, we describe a data enhancement method for developing Emily, an emotion-affective open-domain chatbot. The proposed method is based on explicitly modeling positively transitioned (PT) sentiment data from multi-turn dialogues. We construct a dialogue corpus with PT sentiment data and will release it for public use. By fine-tuning a pretrained dialogue model using the produced PT-enhanced dialogues, we are able to develop an emotion-affective open-domain chatbot exhibiting close-to-human performance in various emotion-affective metrics. We evaluate Emily against a few state-of-the-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04565","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/2208.04565/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":"2026-07-05T04:47:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hEVICnaO/X8KqbtSVmJ5V9o2YA2TzOdBRR40mVc4i5yJUrwvV9lwA8sIiWS8y/TjXtDouTt7rNDAFZZtMD9TBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:07:01.111668Z"},"content_sha256":"b8b3b6854154afdc82419e7facd203849fcda950a6f7f3679f1a5321e0b12db1","schema_version":"1.0","event_id":"sha256:b8b3b6854154afdc82419e7facd203849fcda950a6f7f3679f1a5321e0b12db1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UEJOQXUIQ373AOB5SRT24HNNAI/bundle.json","state_url":"https://pith.science/pith/UEJOQXUIQ373AOB5SRT24HNNAI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UEJOQXUIQ373AOB5SRT24HNNAI/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":"2026-08-04T01:07:01Z","links":{"resolver":"https://pith.science/pith/UEJOQXUIQ373AOB5SRT24HNNAI","bundle":"https://pith.science/pith/UEJOQXUIQ373AOB5SRT24HNNAI/bundle.json","state":"https://pith.science/pith/UEJOQXUIQ373AOB5SRT24HNNAI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UEJOQXUIQ373AOB5SRT24HNNAI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UEJOQXUIQ373AOB5SRT24HNNAI","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":"3a3a079b3e4d22e7c99e97b6ccd900249a454d9bfe951491711c008e3e7c5e4d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-09T07:05:14Z","title_canon_sha256":"e3e9d9d7aba179a53cb7321835ca8192d251ea21cdf9b136b1a9b779c27a62cb"},"schema_version":"1.0","source":{"id":"2208.04565","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04565","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04565v2","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04565","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"pith_short_12","alias_value":"UEJOQXUIQ373","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"pith_short_16","alias_value":"UEJOQXUIQ373AOB5","created_at":"2026-07-05T04:47:29Z"},{"alias_kind":"pith_short_8","alias_value":"UEJOQXUI","created_at":"2026-07-05T04:47:29Z"}],"graph_snapshots":[{"event_id":"sha256:b8b3b6854154afdc82419e7facd203849fcda950a6f7f3679f1a5321e0b12db1","target":"graph","created_at":"2026-07-05T04:47:29Z","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/2208.04565/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we describe a data enhancement method for developing Emily, an emotion-affective open-domain chatbot. The proposed method is based on explicitly modeling positively transitioned (PT) sentiment data from multi-turn dialogues. We construct a dialogue corpus with PT sentiment data and will release it for public use. By fine-tuning a pretrained dialogue model using the produced PT-enhanced dialogues, we are able to develop an emotion-affective open-domain chatbot exhibiting close-to-human performance in various emotion-affective metrics. We evaluate Emily against a few state-of-the-","authors_text":"Chong Hsuan Huang, Haoran Wang, Wei Peng, Weixuan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-09T07:05:14Z","title":"Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04565","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":"sha256:821a7d9e266b0d7fffd2f30018e650625de49d5e2848fce5d3f429db0ac50d06","target":"record","created_at":"2026-07-05T04:47:29Z","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":"3a3a079b3e4d22e7c99e97b6ccd900249a454d9bfe951491711c008e3e7c5e4d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-09T07:05:14Z","title_canon_sha256":"e3e9d9d7aba179a53cb7321835ca8192d251ea21cdf9b136b1a9b779c27a62cb"},"schema_version":"1.0","source":{"id":"2208.04565","kind":"arxiv","version":2}},"canonical_sha256":"a112e85e8886ffb0383d9467ae1dad0239ba6b3a34b5f75b3cf60dc526754e25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a112e85e8886ffb0383d9467ae1dad0239ba6b3a34b5f75b3cf60dc526754e25","first_computed_at":"2026-07-05T04:47:29.910416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:47:29.910416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9crl3Y24SXXEvEwhJTWXGXbMJeUPQHfP7e8a78QAAF8SohckUgWAFZHZ+wcv6UV4HwSqyFHJsMR3EHStzopaDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:47:29.910889Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.04565","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:821a7d9e266b0d7fffd2f30018e650625de49d5e2848fce5d3f429db0ac50d06","sha256:b8b3b6854154afdc82419e7facd203849fcda950a6f7f3679f1a5321e0b12db1"],"state_sha256":"25760a8bf5db3026b160b0c71b54e15844689550aa65916556d053246571ef41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gTcrq5bgyW78QskMk1/aVgQa9ST+ByVXpgPKki7SXDEifHYTd356tj2xzZ+zLTvHYQ0xmvbyGEp39FdPYA7WAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T01:07:01.116583Z","bundle_sha256":"9cf158d8f14820cb3a57a907c6a651d89574c9c527c26e6981f368760b579376"}}