{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:IN6ZESF5WBUWXP2WSP75BQLO7T","short_pith_number":"pith:IN6ZESF5","canonical_record":{"source":{"id":"1709.07858","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-22T17:24:33Z","cross_cats_sorted":[],"title_canon_sha256":"9736aec333de4f046befc9e1479f0e1e98ed60fe8ece0ad8c4e95602536fd53e","abstract_canon_sha256":"482f2d9d1a5c72cab17935734a8e1440537b4f98dcca9734cec2b984028c7e63"},"schema_version":"1.0"},"canonical_sha256":"437d9248bdb0696bbf5693ffd0c16efcc60ac3220682c2ec2b2862f4f0278f50","source":{"kind":"arxiv","id":"1709.07858","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.07858","created_at":"2026-05-18T00:34:32Z"},{"alias_kind":"arxiv_version","alias_value":"1709.07858v1","created_at":"2026-05-18T00:34:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.07858","created_at":"2026-05-18T00:34:32Z"},{"alias_kind":"pith_short_12","alias_value":"IN6ZESF5WBUW","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IN6ZESF5WBUWXP2W","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IN6ZESF5","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:IN6ZESF5WBUWXP2WSP75BQLO7T","target":"record","payload":{"canonical_record":{"source":{"id":"1709.07858","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-22T17:24:33Z","cross_cats_sorted":[],"title_canon_sha256":"9736aec333de4f046befc9e1479f0e1e98ed60fe8ece0ad8c4e95602536fd53e","abstract_canon_sha256":"482f2d9d1a5c72cab17935734a8e1440537b4f98dcca9734cec2b984028c7e63"},"schema_version":"1.0"},"canonical_sha256":"437d9248bdb0696bbf5693ffd0c16efcc60ac3220682c2ec2b2862f4f0278f50","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:32.221765Z","signature_b64":"ACStnqB97cRw4d2xCfIDtY8c1vRRVOQRC0GaTQzrQ2ngB5/ppVDOfOcSUe7HS14DHHKgiejzWF60TAcHJtrFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"437d9248bdb0696bbf5693ffd0c16efcc60ac3220682c2ec2b2862f4f0278f50","last_reissued_at":"2026-05-18T00:34:32.221421Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:32.221421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.07858","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":"2026-05-18T00:34:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8oYBGAoIKvirp1GynkhZXqNaZRX161DNiTlXzFkNO9FeYIERrlf1KLlx3P4u8W7huhT7D3SDq8OdtcnxlIvTAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T18:52:43.977766Z"},"content_sha256":"ecde6a381ec211b4aa4fc7ba583f668f44d6b80c5fca08c871236446d87b72ce","schema_version":"1.0","event_id":"sha256:ecde6a381ec211b4aa4fc7ba583f668f44d6b80c5fca08c871236446d87b72ce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:IN6ZESF5WBUWXP2WSP75BQLO7T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Arash Eshghi, Igor Shalyminov, Oliver Lemon","submitted_at":"2017-09-22T17:24:33Z","abstract_excerpt":"We investigate an end-to-end method for automatically inducing task-based dialogue systems from small amounts of unannotated dialogue data. It combines an incremental semantic grammar - Dynamic Syntax and Type Theory with Records (DS-TTR) - with Reinforcement Learning (RL), where language generation and dialogue management are a joint decision problem. The systems thus produced are incremental: dialogues are processed word-by-word, shown previously to be essential in supporting natural, spontaneous dialogue. We hypothesised that the rich linguistic knowledge within the grammar should enable a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.07858","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":"2026-05-18T00:34:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3sT4qohA7uyaHBiWXjCG7TOKPfDLXuqM0lds8rQ/BtRMoGl5SBBRvgO1Aw1vTkm+kApudksV8LKieSJJw6e3BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T18:52:43.978368Z"},"content_sha256":"f2048d0e246a71c8bfe4ef0d16c308776bd0b381a3d88da91851a182be3f88ad","schema_version":"1.0","event_id":"sha256:f2048d0e246a71c8bfe4ef0d16c308776bd0b381a3d88da91851a182be3f88ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IN6ZESF5WBUWXP2WSP75BQLO7T/bundle.json","state_url":"https://pith.science/pith/IN6ZESF5WBUWXP2WSP75BQLO7T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IN6ZESF5WBUWXP2WSP75BQLO7T/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":"2026-05-26T18:52:43Z","links":{"resolver":"https://pith.science/pith/IN6ZESF5WBUWXP2WSP75BQLO7T","bundle":"https://pith.science/pith/IN6ZESF5WBUWXP2WSP75BQLO7T/bundle.json","state":"https://pith.science/pith/IN6ZESF5WBUWXP2WSP75BQLO7T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IN6ZESF5WBUWXP2WSP75BQLO7T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:IN6ZESF5WBUWXP2WSP75BQLO7T","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":"482f2d9d1a5c72cab17935734a8e1440537b4f98dcca9734cec2b984028c7e63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-22T17:24:33Z","title_canon_sha256":"9736aec333de4f046befc9e1479f0e1e98ed60fe8ece0ad8c4e95602536fd53e"},"schema_version":"1.0","source":{"id":"1709.07858","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.07858","created_at":"2026-05-18T00:34:32Z"},{"alias_kind":"arxiv_version","alias_value":"1709.07858v1","created_at":"2026-05-18T00:34:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.07858","created_at":"2026-05-18T00:34:32Z"},{"alias_kind":"pith_short_12","alias_value":"IN6ZESF5WBUW","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IN6ZESF5WBUWXP2W","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IN6ZESF5","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:f2048d0e246a71c8bfe4ef0d16c308776bd0b381a3d88da91851a182be3f88ad","target":"graph","created_at":"2026-05-18T00:34:32Z","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":"We investigate an end-to-end method for automatically inducing task-based dialogue systems from small amounts of unannotated dialogue data. It combines an incremental semantic grammar - Dynamic Syntax and Type Theory with Records (DS-TTR) - with Reinforcement Learning (RL), where language generation and dialogue management are a joint decision problem. The systems thus produced are incremental: dialogues are processed word-by-word, shown previously to be essential in supporting natural, spontaneous dialogue. We hypothesised that the rich linguistic knowledge within the grammar should enable a ","authors_text":"Arash Eshghi, Igor Shalyminov, Oliver Lemon","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-22T17:24:33Z","title":"Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.07858","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:ecde6a381ec211b4aa4fc7ba583f668f44d6b80c5fca08c871236446d87b72ce","target":"record","created_at":"2026-05-18T00:34:32Z","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":"482f2d9d1a5c72cab17935734a8e1440537b4f98dcca9734cec2b984028c7e63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-22T17:24:33Z","title_canon_sha256":"9736aec333de4f046befc9e1479f0e1e98ed60fe8ece0ad8c4e95602536fd53e"},"schema_version":"1.0","source":{"id":"1709.07858","kind":"arxiv","version":1}},"canonical_sha256":"437d9248bdb0696bbf5693ffd0c16efcc60ac3220682c2ec2b2862f4f0278f50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"437d9248bdb0696bbf5693ffd0c16efcc60ac3220682c2ec2b2862f4f0278f50","first_computed_at":"2026-05-18T00:34:32.221421Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:32.221421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ACStnqB97cRw4d2xCfIDtY8c1vRRVOQRC0GaTQzrQ2ngB5/ppVDOfOcSUe7HS14DHHKgiejzWF60TAcHJtrFAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:32.221765Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.07858","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecde6a381ec211b4aa4fc7ba583f668f44d6b80c5fca08c871236446d87b72ce","sha256:f2048d0e246a71c8bfe4ef0d16c308776bd0b381a3d88da91851a182be3f88ad"],"state_sha256":"7ecf88fff903902af31b229fb940272d270152c8aa99e91feceed32303797b8c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4FSkdPJhGjcJnPe/nd60yfL1LCqTHuY+jeKS8VzBuUYYViH6abyWabzjVWc5qlp/hul086OxtbtFsKM1xnPhCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T18:52:43.981085Z","bundle_sha256":"1fd1d16028948aeb40d92cb486f1c2657a68c5a319b2f916cc8a93e9ce8782ad"}}