{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QAM6NFH5CEFO6UQHJPUIQ2RXWG","short_pith_number":"pith:QAM6NFH5","canonical_record":{"source":{"id":"1904.02793","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T21:05:13Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1be0730f0fc0e416cbee890e26534c3249b057e145c523762761312a287f6313","abstract_canon_sha256":"d4e0503ee59bb2a02c8de313483c1605de9f7f80a6a04720cc272afc286371e1"},"schema_version":"1.0"},"canonical_sha256":"8019e694fd110aef52074be8886a37b1bf6e973265bdfc7768c6c75cad831e38","source":{"kind":"arxiv","id":"1904.02793","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02793","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02793v1","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02793","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"pith_short_12","alias_value":"QAM6NFH5CEFO","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QAM6NFH5CEFO6UQH","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QAM6NFH5","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QAM6NFH5CEFO6UQHJPUIQ2RXWG","target":"record","payload":{"canonical_record":{"source":{"id":"1904.02793","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T21:05:13Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1be0730f0fc0e416cbee890e26534c3249b057e145c523762761312a287f6313","abstract_canon_sha256":"d4e0503ee59bb2a02c8de313483c1605de9f7f80a6a04720cc272afc286371e1"},"schema_version":"1.0"},"canonical_sha256":"8019e694fd110aef52074be8886a37b1bf6e973265bdfc7768c6c75cad831e38","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:19.622554Z","signature_b64":"dIymshaFNHGWcfJjPmU+QXwDWsTgLdyAsasin4hJz8Y6ySfCtnVmmIfdA0yHka6Tx46NQuFJR0+/laoAxP4DBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8019e694fd110aef52074be8886a37b1bf6e973265bdfc7768c6c75cad831e38","last_reissued_at":"2026-05-17T23:49:19.622030Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:19.622030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.02793","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":"2026-05-17T23:49:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k9XbZU+vJVIh8hcbgSg4NT177BkWP8Pq72A6AwyoyOV1OgIESPAQ0mgnoPUwfEORklmtbw6jEZZql0jFAfv1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:34:44.839289Z"},"content_sha256":"7e489168d74dac2284e4b58a03a5343580e5a85a4604c29f273fb751d5768247","schema_version":"1.0","event_id":"sha256:7e489168d74dac2284e4b58a03a5343580e5a85a4604c29f273fb751d5768247"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QAM6NFH5CEFO6UQHJPUIQ2RXWG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Affect-Driven Dialog Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Ashutosh Modi, James Kennedy, Mubbasir Kapadia, Pierre Colombo, Wojciech Witon","submitted_at":"2019-04-04T21:05:13Z","abstract_excerpt":"The majority of current systems for end-to-end dialog generation focus on response quality without an explicit control over the affective content of the responses. In this paper, we present an affect-driven dialog system, which generates emotional responses in a controlled manner using a continuous representation of emotions. The system achieves this by modeling emotions at a word and sequence level using: (1) a vector representation of the desired emotion, (2) an affect regularizer, which penalizes neutral words, and (3) an affect sampling method, which forces the neural network to generate d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02793","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":""},"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":"2026-05-17T23:49:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U4Zok1EMCf5U7WaPhcdsGm9BltI9PcHYuDkHUCL4ly+70I9OSapVq5eBDLlNXUdNs9vDhZWh29nLB90lZ0N8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:34:44.840027Z"},"content_sha256":"c8176b876f2ce38e5bb463c91c2956a0c94628b61e12574ef0d7ae7e9e7be25e","schema_version":"1.0","event_id":"sha256:c8176b876f2ce38e5bb463c91c2956a0c94628b61e12574ef0d7ae7e9e7be25e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QAM6NFH5CEFO6UQHJPUIQ2RXWG/bundle.json","state_url":"https://pith.science/pith/QAM6NFH5CEFO6UQHJPUIQ2RXWG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QAM6NFH5CEFO6UQHJPUIQ2RXWG/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":"2026-05-26T16:34:44Z","links":{"resolver":"https://pith.science/pith/QAM6NFH5CEFO6UQHJPUIQ2RXWG","bundle":"https://pith.science/pith/QAM6NFH5CEFO6UQHJPUIQ2RXWG/bundle.json","state":"https://pith.science/pith/QAM6NFH5CEFO6UQHJPUIQ2RXWG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QAM6NFH5CEFO6UQHJPUIQ2RXWG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QAM6NFH5CEFO6UQHJPUIQ2RXWG","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":"d4e0503ee59bb2a02c8de313483c1605de9f7f80a6a04720cc272afc286371e1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T21:05:13Z","title_canon_sha256":"1be0730f0fc0e416cbee890e26534c3249b057e145c523762761312a287f6313"},"schema_version":"1.0","source":{"id":"1904.02793","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02793","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02793v1","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02793","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"pith_short_12","alias_value":"QAM6NFH5CEFO","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QAM6NFH5CEFO6UQH","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QAM6NFH5","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:c8176b876f2ce38e5bb463c91c2956a0c94628b61e12574ef0d7ae7e9e7be25e","target":"graph","created_at":"2026-05-17T23:49:19Z","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"},"paper":{"abstract_excerpt":"The majority of current systems for end-to-end dialog generation focus on response quality without an explicit control over the affective content of the responses. In this paper, we present an affect-driven dialog system, which generates emotional responses in a controlled manner using a continuous representation of emotions. The system achieves this by modeling emotions at a word and sequence level using: (1) a vector representation of the desired emotion, (2) an affect regularizer, which penalizes neutral words, and (3) an affect sampling method, which forces the neural network to generate d","authors_text":"Ashutosh Modi, James Kennedy, Mubbasir Kapadia, Pierre Colombo, Wojciech Witon","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T21:05:13Z","title":"Affect-Driven Dialog Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02793","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":"sha256:7e489168d74dac2284e4b58a03a5343580e5a85a4604c29f273fb751d5768247","target":"record","created_at":"2026-05-17T23:49:19Z","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":"d4e0503ee59bb2a02c8de313483c1605de9f7f80a6a04720cc272afc286371e1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T21:05:13Z","title_canon_sha256":"1be0730f0fc0e416cbee890e26534c3249b057e145c523762761312a287f6313"},"schema_version":"1.0","source":{"id":"1904.02793","kind":"arxiv","version":1}},"canonical_sha256":"8019e694fd110aef52074be8886a37b1bf6e973265bdfc7768c6c75cad831e38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8019e694fd110aef52074be8886a37b1bf6e973265bdfc7768c6c75cad831e38","first_computed_at":"2026-05-17T23:49:19.622030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:19.622030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dIymshaFNHGWcfJjPmU+QXwDWsTgLdyAsasin4hJz8Y6ySfCtnVmmIfdA0yHka6Tx46NQuFJR0+/laoAxP4DBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:19.622554Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.02793","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e489168d74dac2284e4b58a03a5343580e5a85a4604c29f273fb751d5768247","sha256:c8176b876f2ce38e5bb463c91c2956a0c94628b61e12574ef0d7ae7e9e7be25e"],"state_sha256":"80aa3b93f358499e2dab90dafd5883ccf60fca727cc9a73d21deb57363cb4ad8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+BT8uPOK/tMd2MY4612B89YHzJipMgocbY6yexCRSkaQR2qnvYxltgtxpiiwJaPY/2GpJ2S6b/2m3IiafsfLDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T16:34:44.844087Z","bundle_sha256":"ab8b82159b500435d76c4ecf3a888aa47e8ce4c7b8ee43058c5ac5994848fb4a"}}