{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ZYFWF7VHXFMDXFWA7TEFTPITEJ","short_pith_number":"pith:ZYFWF7VH","canonical_record":{"source":{"id":"1904.09020","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-18T21:33:15Z","cross_cats_sorted":[],"title_canon_sha256":"158d7ad1c0811af5f0a3ddfbd83fe90136344b608948c91be98ee11ecd9884a1","abstract_canon_sha256":"4df6931e31f6ffb08b2ec08c7b2a1639f09e32f5c606c1130e2d7a159b245a4f"},"schema_version":"1.0"},"canonical_sha256":"ce0b62fea7b9583b96c0fcc859bd13225f1b60914de321734fc5f5c39a5c4990","source":{"kind":"arxiv","id":"1904.09020","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09020","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09020v1","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09020","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"pith_short_12","alias_value":"ZYFWF7VHXFMD","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZYFWF7VHXFMDXFWA","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZYFWF7VH","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ZYFWF7VHXFMDXFWA7TEFTPITEJ","target":"record","payload":{"canonical_record":{"source":{"id":"1904.09020","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-18T21:33:15Z","cross_cats_sorted":[],"title_canon_sha256":"158d7ad1c0811af5f0a3ddfbd83fe90136344b608948c91be98ee11ecd9884a1","abstract_canon_sha256":"4df6931e31f6ffb08b2ec08c7b2a1639f09e32f5c606c1130e2d7a159b245a4f"},"schema_version":"1.0"},"canonical_sha256":"ce0b62fea7b9583b96c0fcc859bd13225f1b60914de321734fc5f5c39a5c4990","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:08.631105Z","signature_b64":"5Ezlm6MXasj1hVd2JRISY+B8L+TZBWCw6RyY565HJjqyFYAUlSX53GERxGzCuBfgak75JtWfTkxStm5eSY/qDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce0b62fea7b9583b96c0fcc859bd13225f1b60914de321734fc5f5c39a5c4990","last_reissued_at":"2026-05-17T23:48:08.630497Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:08.630497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.09020","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":"2026-05-17T23:48:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZOpHf5umwTBPDGGJL7bxIa7VF6vBDNELR0D3OfF3rWKVT334E3GaAD4aPQDFJpugDmFRyRV1abPx3djVoIeOCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T16:09:08.735269Z"},"content_sha256":"29484ec94d4acb898b0f7931a95b531c8fb7fdb34a03ec8dd186f46bab6fed83","schema_version":"1.0","event_id":"sha256:29484ec94d4acb898b0f7931a95b531c8fb7fdb34a03ec8dd186f46bab6fed83"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ZYFWF7VHXFMDXFWA7TEFTPITEJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Genie: A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Giovanni Campagna, Mehrad Moradshahi, Monica S. Lam, Richard Socher, Silei Xu","submitted_at":"2019-04-18T21:33:15Z","abstract_excerpt":"To understand diverse natural language commands, virtual assistants today are trained with numerous labor-intensive, manually annotated sentences. This paper presents a methodology and the Genie toolkit that can handle new compound commands with significantly less manual effort. We advocate formalizing the capability of virtual assistants with a Virtual Assistant Programming Language (VAPL) and using a neural semantic parser to translate natural language into VAPL code. Genie needs only a small realistic set of input sentences for validating the neural model. Developers write templates to synt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09020","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":"2026-05-17T23:48:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PmrzYZHd00571jTUZuoxuNgCIL3DCoNlz1gkwTqOkMDSC0izIDulgrOYgvC2TWe44MYI696kKRblNKwUgsmDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T16:09:08.735694Z"},"content_sha256":"827e99f804a2750738480b48b310fcde3528ebac75ddb0aaf9e7cd5d72fa69e5","schema_version":"1.0","event_id":"sha256:827e99f804a2750738480b48b310fcde3528ebac75ddb0aaf9e7cd5d72fa69e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZYFWF7VHXFMDXFWA7TEFTPITEJ/bundle.json","state_url":"https://pith.science/pith/ZYFWF7VHXFMDXFWA7TEFTPITEJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZYFWF7VHXFMDXFWA7TEFTPITEJ/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":"2026-05-27T16:09:08Z","links":{"resolver":"https://pith.science/pith/ZYFWF7VHXFMDXFWA7TEFTPITEJ","bundle":"https://pith.science/pith/ZYFWF7VHXFMDXFWA7TEFTPITEJ/bundle.json","state":"https://pith.science/pith/ZYFWF7VHXFMDXFWA7TEFTPITEJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZYFWF7VHXFMDXFWA7TEFTPITEJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ZYFWF7VHXFMDXFWA7TEFTPITEJ","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":"4df6931e31f6ffb08b2ec08c7b2a1639f09e32f5c606c1130e2d7a159b245a4f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-18T21:33:15Z","title_canon_sha256":"158d7ad1c0811af5f0a3ddfbd83fe90136344b608948c91be98ee11ecd9884a1"},"schema_version":"1.0","source":{"id":"1904.09020","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09020","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09020v1","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09020","created_at":"2026-05-17T23:48:08Z"},{"alias_kind":"pith_short_12","alias_value":"ZYFWF7VHXFMD","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZYFWF7VHXFMDXFWA","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZYFWF7VH","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:827e99f804a2750738480b48b310fcde3528ebac75ddb0aaf9e7cd5d72fa69e5","target":"graph","created_at":"2026-05-17T23:48:08Z","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":"To understand diverse natural language commands, virtual assistants today are trained with numerous labor-intensive, manually annotated sentences. This paper presents a methodology and the Genie toolkit that can handle new compound commands with significantly less manual effort. We advocate formalizing the capability of virtual assistants with a Virtual Assistant Programming Language (VAPL) and using a neural semantic parser to translate natural language into VAPL code. Genie needs only a small realistic set of input sentences for validating the neural model. Developers write templates to synt","authors_text":"Giovanni Campagna, Mehrad Moradshahi, Monica S. Lam, Richard Socher, Silei Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-18T21:33:15Z","title":"Genie: A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09020","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":"sha256:29484ec94d4acb898b0f7931a95b531c8fb7fdb34a03ec8dd186f46bab6fed83","target":"record","created_at":"2026-05-17T23:48:08Z","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":"4df6931e31f6ffb08b2ec08c7b2a1639f09e32f5c606c1130e2d7a159b245a4f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-18T21:33:15Z","title_canon_sha256":"158d7ad1c0811af5f0a3ddfbd83fe90136344b608948c91be98ee11ecd9884a1"},"schema_version":"1.0","source":{"id":"1904.09020","kind":"arxiv","version":1}},"canonical_sha256":"ce0b62fea7b9583b96c0fcc859bd13225f1b60914de321734fc5f5c39a5c4990","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce0b62fea7b9583b96c0fcc859bd13225f1b60914de321734fc5f5c39a5c4990","first_computed_at":"2026-05-17T23:48:08.630497Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:08.630497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5Ezlm6MXasj1hVd2JRISY+B8L+TZBWCw6RyY565HJjqyFYAUlSX53GERxGzCuBfgak75JtWfTkxStm5eSY/qDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:08.631105Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09020","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29484ec94d4acb898b0f7931a95b531c8fb7fdb34a03ec8dd186f46bab6fed83","sha256:827e99f804a2750738480b48b310fcde3528ebac75ddb0aaf9e7cd5d72fa69e5"],"state_sha256":"cf0362ef46596b48a1d0b2c343d3b50592b16304a8ce291fa1fcc9a0a4f70cb5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WuJhzpHhqUaGQ2Y665Gn/lOJFj1zqM6XeW6AsjnjdyGyV7LvA8xlRaxLTupSa1dp6g6BIhHt1fJKBCiMnJgACw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T16:09:08.738734Z","bundle_sha256":"7d9bf531c4b8e1218fbbd9b8d55cbf4798c28664ea67c61df22ac7de841320ef"}}