{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:IFZQJMG4S42S24UHSAZGNK6NLC","short_pith_number":"pith:IFZQJMG4","canonical_record":{"source":{"id":"1904.13015","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-30T02:03:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d979a7d8d990e7240772ab894e92d1aa9e66a0fe9c5bb9f7517e2421a2a623dc","abstract_canon_sha256":"cc9f16cbe2e0253bdd5a3c3e7395b0cb6fc6488eeec5937ba581494e65464a30"},"schema_version":"1.0"},"canonical_sha256":"417304b0dc97352d7287903266abcd588f4a590bbacaed41512c8880ab491896","source":{"kind":"arxiv","id":"1904.13015","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.13015","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"arxiv_version","alias_value":"1904.13015v4","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.13015","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"pith_short_12","alias_value":"IFZQJMG4S42S","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"pith_short_16","alias_value":"IFZQJMG4S42S24UH","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"pith_short_8","alias_value":"IFZQJMG4","created_at":"2026-07-05T00:21:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:IFZQJMG4S42S24UHSAZGNK6NLC","target":"record","payload":{"canonical_record":{"source":{"id":"1904.13015","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-30T02:03:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d979a7d8d990e7240772ab894e92d1aa9e66a0fe9c5bb9f7517e2421a2a623dc","abstract_canon_sha256":"cc9f16cbe2e0253bdd5a3c3e7395b0cb6fc6488eeec5937ba581494e65464a30"},"schema_version":"1.0"},"canonical_sha256":"417304b0dc97352d7287903266abcd588f4a590bbacaed41512c8880ab491896","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:21:06.256229Z","signature_b64":"o7lEm8geZthOx5B0Pzfn9iBRwrklJRaxY6eTw6srs0gaZMTykjIhs2FUbHAOsTQ7pW05dEdjEADvN69jsEAEDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"417304b0dc97352d7287903266abcd588f4a590bbacaed41512c8880ab491896","last_reissued_at":"2026-07-05T00:21:06.255878Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:21:06.255878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.13015","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":"2026-07-05T00:21:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5MTGr23u70H2e3JrqV7ltwgW2Ru31w8gW0GQskYNgnuuQ6tBj/KYDSG/iribByaetZJWhg14FbOkX2+QgaxaAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T07:40:11.302675Z"},"content_sha256":"63359a2f9ea14b89323958245a3907f1d3cb66587789e3afe3036bc67ea55954","schema_version":"1.0","event_id":"sha256:63359a2f9ea14b89323958245a3907f1d3cb66587789e3afe3036bc67ea55954"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:IFZQJMG4S42S24UHSAZGNK6NLC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Alessandra Cervone, Anu Venkatesh, Behnam Hedayatnia, Chandra Khatri, Dilek Hakkani-Tur, Raefer Gabriel, Rahul Goel, Sanghyun Yi, Tagyoung Chung","submitted_at":"2019-04-30T02:03:05Z","abstract_excerpt":"Encoder-decoder based neural architectures serve as the basis of state-of-the-art approaches in end-to-end open domain dialog systems. Since most of such systems are trained with a maximum likelihood~(MLE) objective they suffer from issues such as lack of generalizability and the generic response problem, i.e., a system response that can be an answer to a large number of user utterances, e.g., \"Maybe, I don't know.\" Having explicit feedback on the relevance and interestingness of a system response at each turn can be a useful signal for mitigating such issues and improving system quality by se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.13015","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/1904.13015/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":"2026-07-05T00:21:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oUSX7v5VTPZEQ3tW2fsUi3u00WNS0x+/AlvmQaEc5D/EYfqCz48byqGmjkAaYoEiWmRjnMtW9/0C097Rw0myBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T07:40:11.303053Z"},"content_sha256":"cee8e3f1144418fa80a14ffc95452eb638f21555831d93c8d2ef746f0227a55c","schema_version":"1.0","event_id":"sha256:cee8e3f1144418fa80a14ffc95452eb638f21555831d93c8d2ef746f0227a55c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IFZQJMG4S42S24UHSAZGNK6NLC/bundle.json","state_url":"https://pith.science/pith/IFZQJMG4S42S24UHSAZGNK6NLC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IFZQJMG4S42S24UHSAZGNK6NLC/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":"2026-07-06T07:40:11Z","links":{"resolver":"https://pith.science/pith/IFZQJMG4S42S24UHSAZGNK6NLC","bundle":"https://pith.science/pith/IFZQJMG4S42S24UHSAZGNK6NLC/bundle.json","state":"https://pith.science/pith/IFZQJMG4S42S24UHSAZGNK6NLC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IFZQJMG4S42S24UHSAZGNK6NLC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:IFZQJMG4S42S24UHSAZGNK6NLC","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":"cc9f16cbe2e0253bdd5a3c3e7395b0cb6fc6488eeec5937ba581494e65464a30","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-30T02:03:05Z","title_canon_sha256":"d979a7d8d990e7240772ab894e92d1aa9e66a0fe9c5bb9f7517e2421a2a623dc"},"schema_version":"1.0","source":{"id":"1904.13015","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.13015","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"arxiv_version","alias_value":"1904.13015v4","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.13015","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"pith_short_12","alias_value":"IFZQJMG4S42S","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"pith_short_16","alias_value":"IFZQJMG4S42S24UH","created_at":"2026-07-05T00:21:06Z"},{"alias_kind":"pith_short_8","alias_value":"IFZQJMG4","created_at":"2026-07-05T00:21:06Z"}],"graph_snapshots":[{"event_id":"sha256:cee8e3f1144418fa80a14ffc95452eb638f21555831d93c8d2ef746f0227a55c","target":"graph","created_at":"2026-07-05T00:21:06Z","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/1904.13015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Encoder-decoder based neural architectures serve as the basis of state-of-the-art approaches in end-to-end open domain dialog systems. Since most of such systems are trained with a maximum likelihood~(MLE) objective they suffer from issues such as lack of generalizability and the generic response problem, i.e., a system response that can be an answer to a large number of user utterances, e.g., \"Maybe, I don't know.\" Having explicit feedback on the relevance and interestingness of a system response at each turn can be a useful signal for mitigating such issues and improving system quality by se","authors_text":"Alessandra Cervone, Anu Venkatesh, Behnam Hedayatnia, Chandra Khatri, Dilek Hakkani-Tur, Raefer Gabriel, Rahul Goel, Sanghyun Yi, Tagyoung Chung","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-30T02:03:05Z","title":"Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.13015","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":"sha256:63359a2f9ea14b89323958245a3907f1d3cb66587789e3afe3036bc67ea55954","target":"record","created_at":"2026-07-05T00:21:06Z","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":"cc9f16cbe2e0253bdd5a3c3e7395b0cb6fc6488eeec5937ba581494e65464a30","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-30T02:03:05Z","title_canon_sha256":"d979a7d8d990e7240772ab894e92d1aa9e66a0fe9c5bb9f7517e2421a2a623dc"},"schema_version":"1.0","source":{"id":"1904.13015","kind":"arxiv","version":4}},"canonical_sha256":"417304b0dc97352d7287903266abcd588f4a590bbacaed41512c8880ab491896","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"417304b0dc97352d7287903266abcd588f4a590bbacaed41512c8880ab491896","first_computed_at":"2026-07-05T00:21:06.255878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:21:06.255878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o7lEm8geZthOx5B0Pzfn9iBRwrklJRaxY6eTw6srs0gaZMTykjIhs2FUbHAOsTQ7pW05dEdjEADvN69jsEAEDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:21:06.256229Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.13015","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63359a2f9ea14b89323958245a3907f1d3cb66587789e3afe3036bc67ea55954","sha256:cee8e3f1144418fa80a14ffc95452eb638f21555831d93c8d2ef746f0227a55c"],"state_sha256":"509fa209017c181d7a1ad4c9e16c04a379da736dcd11edbef038ad64baea833d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RUfpIhktx4lu2nacoS2jecZtw/8fz2fRWjvN8iDdTFjUWUcZ9EM0phUTAgdX3SsH7YE/Q9NVmJQq5DXkny/7Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T07:40:11.305093Z","bundle_sha256":"9b4c989a444f6ba15c8f3bc8138e7c9e7557af476161c5e14e767e5234d9c8aa"}}