{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:NREZC2AFOKURQJ35GQSYRI6KXG","short_pith_number":"pith:NREZC2AF","canonical_record":{"source":{"id":"1908.07687","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-21T03:02:56Z","cross_cats_sorted":[],"title_canon_sha256":"a8ad8e2b00194438d5b3538da92342242cb65b6f8a0fd1caf881f4fe3ba3cb58","abstract_canon_sha256":"ae3b2281b3f4c5b1a460eb0b9cca8c1e8f7dff58ca8dac7a4d69203212c45934"},"schema_version":"1.0"},"canonical_sha256":"6c4991680572a918277d342588a3cab9b35f6379a2cf1a709a68ba89e29cf434","source":{"kind":"arxiv","id":"1908.07687","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.07687","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"arxiv_version","alias_value":"1908.07687v1","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.07687","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"pith_short_12","alias_value":"NREZC2AFOKUR","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"pith_short_16","alias_value":"NREZC2AFOKURQJ35","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"pith_short_8","alias_value":"NREZC2AF","created_at":"2026-07-04T23:59:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:NREZC2AFOKURQJ35GQSYRI6KXG","target":"record","payload":{"canonical_record":{"source":{"id":"1908.07687","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-21T03:02:56Z","cross_cats_sorted":[],"title_canon_sha256":"a8ad8e2b00194438d5b3538da92342242cb65b6f8a0fd1caf881f4fe3ba3cb58","abstract_canon_sha256":"ae3b2281b3f4c5b1a460eb0b9cca8c1e8f7dff58ca8dac7a4d69203212c45934"},"schema_version":"1.0"},"canonical_sha256":"6c4991680572a918277d342588a3cab9b35f6379a2cf1a709a68ba89e29cf434","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:59:00.371981Z","signature_b64":"Se8eAtLkJDj7l8P7RQtyZjbw22SWvFCxhPVl+jx1izD7DmWO/ts2SuGAP2npb/ZXgC2kiBW0N+/2pNy+lL6SBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c4991680572a918277d342588a3cab9b35f6379a2cf1a709a68ba89e29cf434","last_reissued_at":"2026-07-04T23:59:00.371620Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:59:00.371620Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.07687","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":"2026-07-04T23:59:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dxA/oeSE5PYRJaYaE0ANQeolDRYn0B9AD7uM2rlkqDbB6xzzBA8SKMLZKgRUH8UwNNg0ZBWpcoi5pYryzhGJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:28:12.870374Z"},"content_sha256":"c8b8114a98ffc82db43470c36b90bfd0619842540f02e45b72a78fa556c12d42","schema_version":"1.0","event_id":"sha256:c8b8114a98ffc82db43470c36b90bfd0619842540f02e45b72a78fa556c12d42"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:NREZC2AFOKURQJ35GQSYRI6KXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoEL: Mixture of Empathetic Listeners","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andrea Madotto, Jamin Shin, Pascale Fung, Peng Xu, Zhaojiang Lin","submitted_at":"2019-08-21T03:02:56Z","abstract_excerpt":"Previous research on empathetic dialogue systems has mostly focused on generating responses given certain emotions. However, being empathetic not only requires the ability of generating emotional responses, but more importantly, requires the understanding of user emotions and replying appropriately. In this paper, we propose a novel end-to-end approach for modeling empathy in dialogue systems: Mixture of Empathetic Listeners (MoEL). Our model first captures the user emotions and outputs an emotion distribution. Based on this, MoEL will softly combine the output states of the appropriate Listen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.07687","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/1908.07687/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":"2026-07-04T23:59:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZoM8Rio4GE8IW/b1PHq9UGwmQD2QUOP4TmSjLwRZJkxHdaEkWEp4InBs7VyWvQlzEGcel61ReGQeYXEF8N/mAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:28:12.870887Z"},"content_sha256":"8f8d95ca3e4d127ef0bcf33c2caa487d38f79260a4d0a865e1426977395dbcb9","schema_version":"1.0","event_id":"sha256:8f8d95ca3e4d127ef0bcf33c2caa487d38f79260a4d0a865e1426977395dbcb9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NREZC2AFOKURQJ35GQSYRI6KXG/bundle.json","state_url":"https://pith.science/pith/NREZC2AFOKURQJ35GQSYRI6KXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NREZC2AFOKURQJ35GQSYRI6KXG/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":"2026-08-09T06:28:12Z","links":{"resolver":"https://pith.science/pith/NREZC2AFOKURQJ35GQSYRI6KXG","bundle":"https://pith.science/pith/NREZC2AFOKURQJ35GQSYRI6KXG/bundle.json","state":"https://pith.science/pith/NREZC2AFOKURQJ35GQSYRI6KXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NREZC2AFOKURQJ35GQSYRI6KXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:NREZC2AFOKURQJ35GQSYRI6KXG","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":"ae3b2281b3f4c5b1a460eb0b9cca8c1e8f7dff58ca8dac7a4d69203212c45934","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-21T03:02:56Z","title_canon_sha256":"a8ad8e2b00194438d5b3538da92342242cb65b6f8a0fd1caf881f4fe3ba3cb58"},"schema_version":"1.0","source":{"id":"1908.07687","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.07687","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"arxiv_version","alias_value":"1908.07687v1","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.07687","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"pith_short_12","alias_value":"NREZC2AFOKUR","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"pith_short_16","alias_value":"NREZC2AFOKURQJ35","created_at":"2026-07-04T23:59:00Z"},{"alias_kind":"pith_short_8","alias_value":"NREZC2AF","created_at":"2026-07-04T23:59:00Z"}],"graph_snapshots":[{"event_id":"sha256:8f8d95ca3e4d127ef0bcf33c2caa487d38f79260a4d0a865e1426977395dbcb9","target":"graph","created_at":"2026-07-04T23:59:00Z","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/1908.07687/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Previous research on empathetic dialogue systems has mostly focused on generating responses given certain emotions. However, being empathetic not only requires the ability of generating emotional responses, but more importantly, requires the understanding of user emotions and replying appropriately. In this paper, we propose a novel end-to-end approach for modeling empathy in dialogue systems: Mixture of Empathetic Listeners (MoEL). Our model first captures the user emotions and outputs an emotion distribution. Based on this, MoEL will softly combine the output states of the appropriate Listen","authors_text":"Andrea Madotto, Jamin Shin, Pascale Fung, Peng Xu, Zhaojiang Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-21T03:02:56Z","title":"MoEL: Mixture of Empathetic Listeners"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.07687","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:c8b8114a98ffc82db43470c36b90bfd0619842540f02e45b72a78fa556c12d42","target":"record","created_at":"2026-07-04T23:59:00Z","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":"ae3b2281b3f4c5b1a460eb0b9cca8c1e8f7dff58ca8dac7a4d69203212c45934","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-21T03:02:56Z","title_canon_sha256":"a8ad8e2b00194438d5b3538da92342242cb65b6f8a0fd1caf881f4fe3ba3cb58"},"schema_version":"1.0","source":{"id":"1908.07687","kind":"arxiv","version":1}},"canonical_sha256":"6c4991680572a918277d342588a3cab9b35f6379a2cf1a709a68ba89e29cf434","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c4991680572a918277d342588a3cab9b35f6379a2cf1a709a68ba89e29cf434","first_computed_at":"2026-07-04T23:59:00.371620Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:59:00.371620Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Se8eAtLkJDj7l8P7RQtyZjbw22SWvFCxhPVl+jx1izD7DmWO/ts2SuGAP2npb/ZXgC2kiBW0N+/2pNy+lL6SBg==","signature_status":"signed_v1","signed_at":"2026-07-04T23:59:00.371981Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.07687","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8b8114a98ffc82db43470c36b90bfd0619842540f02e45b72a78fa556c12d42","sha256:8f8d95ca3e4d127ef0bcf33c2caa487d38f79260a4d0a865e1426977395dbcb9"],"state_sha256":"af4fa2e13af71e356b8f70e6833d652fe1f45adfa2b22d9a7635792676a06a29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hbJEPQZ4Kx6+wG9OBEP+mD6DAy8n6qfzOrrhlR2xBTQp0f8Q7IGHKtuWWuu/gtMnz3lnYL+7XkkS41iTTJd4Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T06:28:12.874628Z","bundle_sha256":"c0c3630359c353085ea8e3e091ac38749a2756b77fddc19b6fd5555184d64a40"}}