{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:UDXSJWHAOQ6ODRKTZ57G557ZVY","short_pith_number":"pith:UDXSJWHA","canonical_record":{"source":{"id":"1106.1817","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-06-09T13:55:26Z","cross_cats_sorted":[],"title_canon_sha256":"30f4fc8d0e5b8e304c172393c58b71f3721db6b77d2a9f7da6b94afaa6628a82","abstract_canon_sha256":"a4b62aacef31799ce3a1608a43d3339324577b2dfa25bd6d1d50bfc756dd03d3"},"schema_version":"1.0"},"canonical_sha256":"a0ef24d8e0743ce1c553cf7e6ef7f9ae08fc2f2515cae6efa0f2c8288ce7bb9b","source":{"kind":"arxiv","id":"1106.1817","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1106.1817","created_at":"2026-05-18T04:20:15Z"},{"alias_kind":"arxiv_version","alias_value":"1106.1817v1","created_at":"2026-05-18T04:20:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.1817","created_at":"2026-05-18T04:20:15Z"},{"alias_kind":"pith_short_12","alias_value":"UDXSJWHAOQ6O","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_16","alias_value":"UDXSJWHAOQ6ODRKT","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_8","alias_value":"UDXSJWHA","created_at":"2026-05-18T12:26:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:UDXSJWHAOQ6ODRKTZ57G557ZVY","target":"record","payload":{"canonical_record":{"source":{"id":"1106.1817","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-06-09T13:55:26Z","cross_cats_sorted":[],"title_canon_sha256":"30f4fc8d0e5b8e304c172393c58b71f3721db6b77d2a9f7da6b94afaa6628a82","abstract_canon_sha256":"a4b62aacef31799ce3a1608a43d3339324577b2dfa25bd6d1d50bfc756dd03d3"},"schema_version":"1.0"},"canonical_sha256":"a0ef24d8e0743ce1c553cf7e6ef7f9ae08fc2f2515cae6efa0f2c8288ce7bb9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:20:15.099199Z","signature_b64":"zIve3UbC8cwvpQ5vTTTxM7lDA12ghA8Jc5tkpPBBJi+3kZQ8tavwJ9YDW7Zh43vRKfLiA8qCRGdQ6ISBr1qrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0ef24d8e0743ce1c553cf7e6ef7f9ae08fc2f2515cae6efa0f2c8288ce7bb9b","last_reissued_at":"2026-05-18T04:20:15.098551Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:20:15.098551Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1106.1817","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":"2026-05-18T04:20:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ap6hPSNiVkUymkiwNjcmkZgn8n1Tnki5ha44xRjOf2Y0ln85PhncW03u/VzRq3MKMalBIkOBXmHYNMncZNGdAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T09:31:56.429233Z"},"content_sha256":"a0fda823e6668434664bc3a896ffffd31281ca634fbd8fac5723c01350a11d7e","schema_version":"1.0","event_id":"sha256:a0fda823e6668434664bc3a896ffffd31281ca634fbd8fac5723c01350a11d7e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:UDXSJWHAOQ6ODRKTZ57G557ZVY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatically Training a Problematic Dialogue Predictor for a Spoken Dialogue System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"A. Gorin, H. Wright Hastie, I. Langkilde-Geary, J. Wright, M. A. Walker","submitted_at":"2011-06-09T13:55:26Z","abstract_excerpt":"Spoken dialogue systems promise efficient and natural access    to a large variety of information sources and services from any phone.    However, current spoken dialogue systems are deficient in their    strategies for preventing, identifying and repairing problems that    arise in the conversation. This paper reports results on automatically    training a Problematic Dialogue Predictor to predict problematic    human-computer dialogues using a corpus of 4692 dialogues collected    with the 'How May I Help You' (SM) spoken dialogue system.  The    Problematic Dialogue Predictor can be immedia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.1817","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":"2026-05-18T04:20:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QUWrq/YnyMvlY04npzyYSAUAYJqejd6Yc9xoUjig06Z4BNZS2SzI19sAaUGdOqzr82MmUnz+SHIZpIKVsMF8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T09:31:56.429593Z"},"content_sha256":"709732a760739687fd110c0f60e5b05dadcdcb543d35e7e207344c5ab53b5c1f","schema_version":"1.0","event_id":"sha256:709732a760739687fd110c0f60e5b05dadcdcb543d35e7e207344c5ab53b5c1f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UDXSJWHAOQ6ODRKTZ57G557ZVY/bundle.json","state_url":"https://pith.science/pith/UDXSJWHAOQ6ODRKTZ57G557ZVY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UDXSJWHAOQ6ODRKTZ57G557ZVY/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":"2026-06-11T09:31:56Z","links":{"resolver":"https://pith.science/pith/UDXSJWHAOQ6ODRKTZ57G557ZVY","bundle":"https://pith.science/pith/UDXSJWHAOQ6ODRKTZ57G557ZVY/bundle.json","state":"https://pith.science/pith/UDXSJWHAOQ6ODRKTZ57G557ZVY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UDXSJWHAOQ6ODRKTZ57G557ZVY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:UDXSJWHAOQ6ODRKTZ57G557ZVY","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":"a4b62aacef31799ce3a1608a43d3339324577b2dfa25bd6d1d50bfc756dd03d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-06-09T13:55:26Z","title_canon_sha256":"30f4fc8d0e5b8e304c172393c58b71f3721db6b77d2a9f7da6b94afaa6628a82"},"schema_version":"1.0","source":{"id":"1106.1817","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1106.1817","created_at":"2026-05-18T04:20:15Z"},{"alias_kind":"arxiv_version","alias_value":"1106.1817v1","created_at":"2026-05-18T04:20:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.1817","created_at":"2026-05-18T04:20:15Z"},{"alias_kind":"pith_short_12","alias_value":"UDXSJWHAOQ6O","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_16","alias_value":"UDXSJWHAOQ6ODRKT","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_8","alias_value":"UDXSJWHA","created_at":"2026-05-18T12:26:42Z"}],"graph_snapshots":[{"event_id":"sha256:709732a760739687fd110c0f60e5b05dadcdcb543d35e7e207344c5ab53b5c1f","target":"graph","created_at":"2026-05-18T04:20:15Z","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":"Spoken dialogue systems promise efficient and natural access    to a large variety of information sources and services from any phone.    However, current spoken dialogue systems are deficient in their    strategies for preventing, identifying and repairing problems that    arise in the conversation. This paper reports results on automatically    training a Problematic Dialogue Predictor to predict problematic    human-computer dialogues using a corpus of 4692 dialogues collected    with the 'How May I Help You' (SM) spoken dialogue system.  The    Problematic Dialogue Predictor can be immedia","authors_text":"A. Gorin, H. Wright Hastie, I. Langkilde-Geary, J. Wright, M. A. Walker","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-06-09T13:55:26Z","title":"Automatically Training a Problematic Dialogue Predictor for a Spoken Dialogue System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.1817","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:a0fda823e6668434664bc3a896ffffd31281ca634fbd8fac5723c01350a11d7e","target":"record","created_at":"2026-05-18T04:20:15Z","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":"a4b62aacef31799ce3a1608a43d3339324577b2dfa25bd6d1d50bfc756dd03d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-06-09T13:55:26Z","title_canon_sha256":"30f4fc8d0e5b8e304c172393c58b71f3721db6b77d2a9f7da6b94afaa6628a82"},"schema_version":"1.0","source":{"id":"1106.1817","kind":"arxiv","version":1}},"canonical_sha256":"a0ef24d8e0743ce1c553cf7e6ef7f9ae08fc2f2515cae6efa0f2c8288ce7bb9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0ef24d8e0743ce1c553cf7e6ef7f9ae08fc2f2515cae6efa0f2c8288ce7bb9b","first_computed_at":"2026-05-18T04:20:15.098551Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:20:15.098551Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zIve3UbC8cwvpQ5vTTTxM7lDA12ghA8Jc5tkpPBBJi+3kZQ8tavwJ9YDW7Zh43vRKfLiA8qCRGdQ6ISBr1qrAg==","signature_status":"signed_v1","signed_at":"2026-05-18T04:20:15.099199Z","signed_message":"canonical_sha256_bytes"},"source_id":"1106.1817","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0fda823e6668434664bc3a896ffffd31281ca634fbd8fac5723c01350a11d7e","sha256:709732a760739687fd110c0f60e5b05dadcdcb543d35e7e207344c5ab53b5c1f"],"state_sha256":"6b28a5ae934c2a07d499fc7ae0a6d688816b1ae85ed4eab7bfd586c4ac0eed1e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BZLYxIcT773UI4USJq6v9/sQbGVoridyq/NBhA1MWe3HSw5jBn1j/ul6qMFSqu4cg7QpL9IhcVc3YjBIxCbRAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T09:31:56.431698Z","bundle_sha256":"1f2470b3e9a4f3a79d6490848123525209e74d911ef19f7e303a320ae1d26837"}}