{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:UJBZWI6IKGSP72ALA42BUWX5MR","short_pith_number":"pith:UJBZWI6I","canonical_record":{"source":{"id":"1705.10229","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-29T15:01:44Z","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"title_canon_sha256":"2a2508980b32dbc0e821c1d3a442a0e7723049365cb072dca3a80d43435637e8","abstract_canon_sha256":"3f2db98b8f063ea140ed1c10c0f18e722e1843c8e78b2ceda6667f9e874d0f4f"},"schema_version":"1.0"},"canonical_sha256":"a2439b23c851a4ffe80b07341a5afd6469f9cb184443616c00d73f2f75801354","source":{"kind":"arxiv","id":"1705.10229","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10229","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10229v1","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10229","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"pith_short_12","alias_value":"UJBZWI6IKGSP","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UJBZWI6IKGSP72AL","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UJBZWI6I","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:UJBZWI6IKGSP72ALA42BUWX5MR","target":"record","payload":{"canonical_record":{"source":{"id":"1705.10229","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-29T15:01:44Z","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"title_canon_sha256":"2a2508980b32dbc0e821c1d3a442a0e7723049365cb072dca3a80d43435637e8","abstract_canon_sha256":"3f2db98b8f063ea140ed1c10c0f18e722e1843c8e78b2ceda6667f9e874d0f4f"},"schema_version":"1.0"},"canonical_sha256":"a2439b23c851a4ffe80b07341a5afd6469f9cb184443616c00d73f2f75801354","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:31.652441Z","signature_b64":"xpJ7jIqx/ek8wBh3CW5O2ON7j6Py+DAah5zvf70UmxKaSsFAMc7YxwmIUaZSXkoHDkNNaakByp+dysSPv1USCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2439b23c851a4ffe80b07341a5afd6469f9cb184443616c00d73f2f75801354","last_reissued_at":"2026-05-18T00:43:31.651841Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:31.651841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.10229","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":"2026-05-18T00:43:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ab3cQnUzpUMIn+gqCFxB8GOGfpYUdoqno5qh7ArDFA1SAZAB6zEVxrSTT6k0gdX79ITiK0RCify9orBz64JSAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T22:01:39.530087Z"},"content_sha256":"c6e9ee0ae0833bd663950c9f4d2b8c9815de3c26adc9a037f2d490f461d7a881","schema_version":"1.0","event_id":"sha256:c6e9ee0ae0833bd663950c9f4d2b8c9815de3c26adc9a037f2d490f461d7a881"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:UJBZWI6IKGSP72ALA42BUWX5MR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Latent Intention Dialogue Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE","stat.ML"],"primary_cat":"cs.CL","authors_text":"Phil Blunsom, Steve Young, Tsung-Hsien Wen, Yishu Miao","submitted_at":"2017-05-29T15:01:44Z","abstract_excerpt":"Developing a dialogue agent that is capable of making autonomous decisions and communicating by natural language is one of the long-term goals of machine learning research. Traditional approaches either rely on hand-crafting a small state-action set for applying reinforcement learning that is not scalable or constructing deterministic models for learning dialogue sentences that fail to capture natural conversational variability. In this paper, we propose a Latent Intention Dialogue Model (LIDM) that employs a discrete latent variable to learn underlying dialogue intentions in the framework of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10229","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":"2026-05-18T00:43:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LxkKUmVbKBoI2QX0bpemyoV/wIp9vaZzYQG2q/TRvBLWf6iNF+FSAIFUJBRQP+q/v5/BSdeLu/sqItxp04CtAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T22:01:39.530451Z"},"content_sha256":"91900bf29d67555e324ea9d33dff25101854595d3d826796aa7d5fb964fb68db","schema_version":"1.0","event_id":"sha256:91900bf29d67555e324ea9d33dff25101854595d3d826796aa7d5fb964fb68db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UJBZWI6IKGSP72ALA42BUWX5MR/bundle.json","state_url":"https://pith.science/pith/UJBZWI6IKGSP72ALA42BUWX5MR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UJBZWI6IKGSP72ALA42BUWX5MR/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":"2026-05-19T22:01:39Z","links":{"resolver":"https://pith.science/pith/UJBZWI6IKGSP72ALA42BUWX5MR","bundle":"https://pith.science/pith/UJBZWI6IKGSP72ALA42BUWX5MR/bundle.json","state":"https://pith.science/pith/UJBZWI6IKGSP72ALA42BUWX5MR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UJBZWI6IKGSP72ALA42BUWX5MR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:UJBZWI6IKGSP72ALA42BUWX5MR","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":"3f2db98b8f063ea140ed1c10c0f18e722e1843c8e78b2ceda6667f9e874d0f4f","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-29T15:01:44Z","title_canon_sha256":"2a2508980b32dbc0e821c1d3a442a0e7723049365cb072dca3a80d43435637e8"},"schema_version":"1.0","source":{"id":"1705.10229","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10229","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10229v1","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10229","created_at":"2026-05-18T00:43:31Z"},{"alias_kind":"pith_short_12","alias_value":"UJBZWI6IKGSP","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UJBZWI6IKGSP72AL","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UJBZWI6I","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:91900bf29d67555e324ea9d33dff25101854595d3d826796aa7d5fb964fb68db","target":"graph","created_at":"2026-05-18T00:43:31Z","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":"Developing a dialogue agent that is capable of making autonomous decisions and communicating by natural language is one of the long-term goals of machine learning research. Traditional approaches either rely on hand-crafting a small state-action set for applying reinforcement learning that is not scalable or constructing deterministic models for learning dialogue sentences that fail to capture natural conversational variability. In this paper, we propose a Latent Intention Dialogue Model (LIDM) that employs a discrete latent variable to learn underlying dialogue intentions in the framework of ","authors_text":"Phil Blunsom, Steve Young, Tsung-Hsien Wen, Yishu Miao","cross_cats":["cs.LG","cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-29T15:01:44Z","title":"Latent Intention Dialogue Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10229","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:c6e9ee0ae0833bd663950c9f4d2b8c9815de3c26adc9a037f2d490f461d7a881","target":"record","created_at":"2026-05-18T00:43:31Z","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":"3f2db98b8f063ea140ed1c10c0f18e722e1843c8e78b2ceda6667f9e874d0f4f","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-29T15:01:44Z","title_canon_sha256":"2a2508980b32dbc0e821c1d3a442a0e7723049365cb072dca3a80d43435637e8"},"schema_version":"1.0","source":{"id":"1705.10229","kind":"arxiv","version":1}},"canonical_sha256":"a2439b23c851a4ffe80b07341a5afd6469f9cb184443616c00d73f2f75801354","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2439b23c851a4ffe80b07341a5afd6469f9cb184443616c00d73f2f75801354","first_computed_at":"2026-05-18T00:43:31.651841Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:31.651841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xpJ7jIqx/ek8wBh3CW5O2ON7j6Py+DAah5zvf70UmxKaSsFAMc7YxwmIUaZSXkoHDkNNaakByp+dysSPv1USCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:31.652441Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.10229","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6e9ee0ae0833bd663950c9f4d2b8c9815de3c26adc9a037f2d490f461d7a881","sha256:91900bf29d67555e324ea9d33dff25101854595d3d826796aa7d5fb964fb68db"],"state_sha256":"f2055e544c6487e59f1fe9aa5795cd657cb3cf20975c50ab6aea80506e4037a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X+mlrZYE9SmXsBr3/3F7/s0fkUY88RtgUwOYWRBfMPEH1tmFPYM46C5toiU/0/fYjXeBFvGo1bn2vpNCtvSFDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T22:01:39.532513Z","bundle_sha256":"1b662d45676622689bbfc98ca5a30f65489895b91dc36c0e300ee05fb93f47ed"}}