{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:24TNRUJVYUHVIUNDSTXFBFT5WF","short_pith_number":"pith:24TNRUJV","canonical_record":{"source":{"id":"1705.03152","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-09T02:47:22Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"3e4dced1cd84e67d1f74ee80294ecdc06cddad5360d66353dae0a95237d6cf22","abstract_canon_sha256":"7d171b285c4e4ba96ab0d28b2b80dc1fb553aa6caf8476f2e7c13137009177a5"},"schema_version":"1.0"},"canonical_sha256":"d726d8d135c50f5451a394ee50967db16878d595a053ab5d3d9855953aee3f90","source":{"kind":"arxiv","id":"1705.03152","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.03152","created_at":"2026-05-18T00:43:49Z"},{"alias_kind":"arxiv_version","alias_value":"1705.03152v2","created_at":"2026-05-18T00:43:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.03152","created_at":"2026-05-18T00:43:49Z"},{"alias_kind":"pith_short_12","alias_value":"24TNRUJVYUHV","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"24TNRUJVYUHVIUND","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"24TNRUJV","created_at":"2026-05-18T12:30:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:24TNRUJVYUHVIUNDSTXFBFT5WF","target":"record","payload":{"canonical_record":{"source":{"id":"1705.03152","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-09T02:47:22Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"3e4dced1cd84e67d1f74ee80294ecdc06cddad5360d66353dae0a95237d6cf22","abstract_canon_sha256":"7d171b285c4e4ba96ab0d28b2b80dc1fb553aa6caf8476f2e7c13137009177a5"},"schema_version":"1.0"},"canonical_sha256":"d726d8d135c50f5451a394ee50967db16878d595a053ab5d3d9855953aee3f90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:49.895685Z","signature_b64":"u0h2txkGCvdvThTJ+dm1E2/QcZUG5H6Fl5zJsk8v8IiWOuSRRRexas93kzCsJpwjEWrnKg/ScoSDJxWQAmYlDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d726d8d135c50f5451a394ee50967db16878d595a053ab5d3d9855953aee3f90","last_reissued_at":"2026-05-18T00:43:49.895168Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:49.895168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.03152","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WdfEqQugJhGgl/3w6hLdmOAcZQMoPp0oTaVfnRjYbDgl2zrixs9Y9dZ0Yf2P5P63tBiBaGsXaPNj1ZJnTXWpCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:02:00.191219Z"},"content_sha256":"c988e2cbb51c28d79fe816f1a8b58ebc0d2278259f740654822a7eae0816a9c2","schema_version":"1.0","event_id":"sha256:c988e2cbb51c28d79fe816f1a8b58ebc0d2278259f740654822a7eae0816a9c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:24TNRUJVYUHVIUNDSTXFBFT5WF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Phone-aware Neural Language Identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Dong Wang, Lantian Li, Ying Shi, Yixiang Chen, Zhiyuan Tang","submitted_at":"2017-05-09T02:47:22Z","abstract_excerpt":"Pure acoustic neural models, particularly the LSTM-RNN model, have shown great potential in language identification (LID). However, the phonetic information has been largely overlooked by most of existing neural LID models, although this information has been used in the conventional phonetic LID systems with a great success. We present a phone-aware neural LID architecture, which is a deep LSTM-RNN LID system but accepts output from an RNN-based ASR system. By utilizing the phonetic knowledge, the LID performance can be significantly improved. Interestingly, even if the test language is not in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.03152","kind":"arxiv","version":2},"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":"2026-05-18T00:43:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o/atiI32gfDLmKpwfCM00CfcPxaymJGi3ETL3RgFe8Agm1ggElQ9tg2rLOSaAP+JYb8NsMFPIdIjl5e3RBHdDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:02:00.191917Z"},"content_sha256":"81d166bfc4f41f19621614ef4750161b60c327d77b81627848fce4fef71c1c9a","schema_version":"1.0","event_id":"sha256:81d166bfc4f41f19621614ef4750161b60c327d77b81627848fce4fef71c1c9a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/24TNRUJVYUHVIUNDSTXFBFT5WF/bundle.json","state_url":"https://pith.science/pith/24TNRUJVYUHVIUNDSTXFBFT5WF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/24TNRUJVYUHVIUNDSTXFBFT5WF/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":"2026-05-25T19:02:00Z","links":{"resolver":"https://pith.science/pith/24TNRUJVYUHVIUNDSTXFBFT5WF","bundle":"https://pith.science/pith/24TNRUJVYUHVIUNDSTXFBFT5WF/bundle.json","state":"https://pith.science/pith/24TNRUJVYUHVIUNDSTXFBFT5WF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/24TNRUJVYUHVIUNDSTXFBFT5WF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:24TNRUJVYUHVIUNDSTXFBFT5WF","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":"7d171b285c4e4ba96ab0d28b2b80dc1fb553aa6caf8476f2e7c13137009177a5","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-09T02:47:22Z","title_canon_sha256":"3e4dced1cd84e67d1f74ee80294ecdc06cddad5360d66353dae0a95237d6cf22"},"schema_version":"1.0","source":{"id":"1705.03152","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.03152","created_at":"2026-05-18T00:43:49Z"},{"alias_kind":"arxiv_version","alias_value":"1705.03152v2","created_at":"2026-05-18T00:43:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.03152","created_at":"2026-05-18T00:43:49Z"},{"alias_kind":"pith_short_12","alias_value":"24TNRUJVYUHV","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"24TNRUJVYUHVIUND","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"24TNRUJV","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:81d166bfc4f41f19621614ef4750161b60c327d77b81627848fce4fef71c1c9a","target":"graph","created_at":"2026-05-18T00:43:49Z","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":"Pure acoustic neural models, particularly the LSTM-RNN model, have shown great potential in language identification (LID). However, the phonetic information has been largely overlooked by most of existing neural LID models, although this information has been used in the conventional phonetic LID systems with a great success. We present a phone-aware neural LID architecture, which is a deep LSTM-RNN LID system but accepts output from an RNN-based ASR system. By utilizing the phonetic knowledge, the LID performance can be significantly improved. Interestingly, even if the test language is not in","authors_text":"Dong Wang, Lantian Li, Ying Shi, Yixiang Chen, Zhiyuan Tang","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-09T02:47:22Z","title":"Phone-aware Neural Language Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.03152","kind":"arxiv","version":2},"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:c988e2cbb51c28d79fe816f1a8b58ebc0d2278259f740654822a7eae0816a9c2","target":"record","created_at":"2026-05-18T00:43:49Z","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":"7d171b285c4e4ba96ab0d28b2b80dc1fb553aa6caf8476f2e7c13137009177a5","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-05-09T02:47:22Z","title_canon_sha256":"3e4dced1cd84e67d1f74ee80294ecdc06cddad5360d66353dae0a95237d6cf22"},"schema_version":"1.0","source":{"id":"1705.03152","kind":"arxiv","version":2}},"canonical_sha256":"d726d8d135c50f5451a394ee50967db16878d595a053ab5d3d9855953aee3f90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d726d8d135c50f5451a394ee50967db16878d595a053ab5d3d9855953aee3f90","first_computed_at":"2026-05-18T00:43:49.895168Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:49.895168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u0h2txkGCvdvThTJ+dm1E2/QcZUG5H6Fl5zJsk8v8IiWOuSRRRexas93kzCsJpwjEWrnKg/ScoSDJxWQAmYlDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:49.895685Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.03152","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c988e2cbb51c28d79fe816f1a8b58ebc0d2278259f740654822a7eae0816a9c2","sha256:81d166bfc4f41f19621614ef4750161b60c327d77b81627848fce4fef71c1c9a"],"state_sha256":"f144f445095bf216d572e311115caf50bb0de2db9d60ab114ece2058f855007b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RhyRHB23oM9c+5vZ6dkSTToeH4Oz5AaD8wAaKuG5LDcFlnMYR1yAVDFcxrwl+RsA7Elo3nXqgyI/HsrZ3SPZBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T19:02:00.195621Z","bundle_sha256":"e3809caae13a58cd82cde973a1d939bffddc27c00b748c0948e56b88ca3f223d"}}