{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:EG74AX5T265JDKZRCZBTN6B3LZ","short_pith_number":"pith:EG74AX5T","canonical_record":{"source":{"id":"2008.08113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-18T18:21:33Z","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"title_canon_sha256":"d7dc6e7384da3b9add92f0ef6c20068ffccce6f74c33cf9595d24b4a39c4668f","abstract_canon_sha256":"2e3febc14623b34403e01e95ab28bf788d733a002fa34bead5d785fbb2f635e3"},"schema_version":"1.0"},"canonical_sha256":"21bfc05fb3d7ba91ab31164336f83b5e422338f713431b06b6ee1a85a46bd16d","source":{"kind":"arxiv","id":"2008.08113","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.08113","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"arxiv_version","alias_value":"2008.08113v1","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.08113","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"pith_short_12","alias_value":"EG74AX5T265J","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"EG74AX5T265JDKZR","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"EG74AX5T","created_at":"2026-07-05T01:28:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:EG74AX5T265JDKZRCZBTN6B3LZ","target":"record","payload":{"canonical_record":{"source":{"id":"2008.08113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-18T18:21:33Z","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"title_canon_sha256":"d7dc6e7384da3b9add92f0ef6c20068ffccce6f74c33cf9595d24b4a39c4668f","abstract_canon_sha256":"2e3febc14623b34403e01e95ab28bf788d733a002fa34bead5d785fbb2f635e3"},"schema_version":"1.0"},"canonical_sha256":"21bfc05fb3d7ba91ab31164336f83b5e422338f713431b06b6ee1a85a46bd16d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:28:22.632437Z","signature_b64":"AQzzjOdDwf6CexpQm5IscgS2ornvtL/ZX+5M55ljXcGAtC/BUEmAYzCgrImYQusRn/YSlOz8FM0mA8ZfRoaVBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21bfc05fb3d7ba91ab31164336f83b5e422338f713431b06b6ee1a85a46bd16d","last_reissued_at":"2026-07-05T01:28:22.631954Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:28:22.631954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.08113","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":"2026-07-05T01:28:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8O3juQJHYZG0h+eRiFu2fM7TZF08IBBOKF1wETIAlo2Z2DoWFoPVW0JtCNvmwZoCySlTzNN4aZmWkWAJ2FMXDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T22:07:16.897091Z"},"content_sha256":"6cae2febaae538119af98c8fc25a2bd6f7b3c15ec5047b5d99dac6bda781c8bc","schema_version":"1.0","event_id":"sha256:6cae2febaae538119af98c8fc25a2bd6f7b3c15ec5047b5d99dac6bda781c8bc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:EG74AX5T265JDKZRCZBTN6B3LZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Devang Naik, Pranay Dighe, Rishika Agarwal, Sameer Badaskar, Srikanth Vishnubhotla, Xiaochuan Niu","submitted_at":"2020-08-18T18:21:33Z","abstract_excerpt":"False triggers in voice assistants are unintended invocations of the assistant, which not only degrade the user experience but may also compromise privacy. False trigger mitigation (FTM) is a process to detect the false trigger events and respond appropriately to the user. In this paper, we propose a novel solution to the FTM problem by introducing a parallel ASR decoding process with a special language model trained from \"out-of-domain\" data sources. Such language model is complementary to the existing language model optimized for the assistant task. A bidirectional lattice RNN (Bi-LRNN) clas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.08113","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.08113/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":"2026-07-05T01:28:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TBjieps21jMYqBA2LruQG2zCE0NsZaLlOwOSbyjSDUbSpAGmeMxFOjuGDuCLwtaIOWp7V70+wcMFK3fyrOU8AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T22:07:16.897523Z"},"content_sha256":"73fd0bc2b9b100ffcc3ef73fced5853339ad5ebcd1ee71b092a537ddda106abc","schema_version":"1.0","event_id":"sha256:73fd0bc2b9b100ffcc3ef73fced5853339ad5ebcd1ee71b092a537ddda106abc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EG74AX5T265JDKZRCZBTN6B3LZ/bundle.json","state_url":"https://pith.science/pith/EG74AX5T265JDKZRCZBTN6B3LZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EG74AX5T265JDKZRCZBTN6B3LZ/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":"2026-07-12T22:07:16Z","links":{"resolver":"https://pith.science/pith/EG74AX5T265JDKZRCZBTN6B3LZ","bundle":"https://pith.science/pith/EG74AX5T265JDKZRCZBTN6B3LZ/bundle.json","state":"https://pith.science/pith/EG74AX5T265JDKZRCZBTN6B3LZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EG74AX5T265JDKZRCZBTN6B3LZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:EG74AX5T265JDKZRCZBTN6B3LZ","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":"2e3febc14623b34403e01e95ab28bf788d733a002fa34bead5d785fbb2f635e3","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-18T18:21:33Z","title_canon_sha256":"d7dc6e7384da3b9add92f0ef6c20068ffccce6f74c33cf9595d24b4a39c4668f"},"schema_version":"1.0","source":{"id":"2008.08113","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.08113","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"arxiv_version","alias_value":"2008.08113v1","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.08113","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"pith_short_12","alias_value":"EG74AX5T265J","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"EG74AX5T265JDKZR","created_at":"2026-07-05T01:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"EG74AX5T","created_at":"2026-07-05T01:28:22Z"}],"graph_snapshots":[{"event_id":"sha256:73fd0bc2b9b100ffcc3ef73fced5853339ad5ebcd1ee71b092a537ddda106abc","target":"graph","created_at":"2026-07-05T01:28:22Z","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/2008.08113/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"False triggers in voice assistants are unintended invocations of the assistant, which not only degrade the user experience but may also compromise privacy. False trigger mitigation (FTM) is a process to detect the false trigger events and respond appropriately to the user. In this paper, we propose a novel solution to the FTM problem by introducing a parallel ASR decoding process with a special language model trained from \"out-of-domain\" data sources. Such language model is complementary to the existing language model optimized for the assistant task. A bidirectional lattice RNN (Bi-LRNN) clas","authors_text":"Devang Naik, Pranay Dighe, Rishika Agarwal, Sameer Badaskar, Srikanth Vishnubhotla, Xiaochuan Niu","cross_cats":["cs.CL","cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-18T18:21:33Z","title":"Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.08113","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":"sha256:6cae2febaae538119af98c8fc25a2bd6f7b3c15ec5047b5d99dac6bda781c8bc","target":"record","created_at":"2026-07-05T01:28:22Z","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":"2e3febc14623b34403e01e95ab28bf788d733a002fa34bead5d785fbb2f635e3","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-18T18:21:33Z","title_canon_sha256":"d7dc6e7384da3b9add92f0ef6c20068ffccce6f74c33cf9595d24b4a39c4668f"},"schema_version":"1.0","source":{"id":"2008.08113","kind":"arxiv","version":1}},"canonical_sha256":"21bfc05fb3d7ba91ab31164336f83b5e422338f713431b06b6ee1a85a46bd16d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21bfc05fb3d7ba91ab31164336f83b5e422338f713431b06b6ee1a85a46bd16d","first_computed_at":"2026-07-05T01:28:22.631954Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:28:22.631954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AQzzjOdDwf6CexpQm5IscgS2ornvtL/ZX+5M55ljXcGAtC/BUEmAYzCgrImYQusRn/YSlOz8FM0mA8ZfRoaVBg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:28:22.632437Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.08113","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6cae2febaae538119af98c8fc25a2bd6f7b3c15ec5047b5d99dac6bda781c8bc","sha256:73fd0bc2b9b100ffcc3ef73fced5853339ad5ebcd1ee71b092a537ddda106abc"],"state_sha256":"a270f213430d31323a5ee7373db09a82c6d4e55b57162700e01b549355083bc4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MqL2aOeGzFI565TzTcQ6Yngw43FODapl0jakcly5yh8K5ooc9YaQD9Nzdo+WkVhkKU9ODls+QjzOazS4qAW+AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T22:07:16.901143Z","bundle_sha256":"4afce50da806cd730445b9178569463c0b7795fde633c1afd6c3d81893db68f9"}}