{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:GT4LAZSDBWULM6RWARFS3Z3VH6","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":"8fc2a17de52080083412c0e91e830b3105e1a1e29799569c39e8bf39713ba428","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2018-04-02T03:31:01Z","title_canon_sha256":"3cd972d2b96d6f3138946d754b904c9b5e2d4a2c31e9140d3eb3582cfb09ab5b"},"schema_version":"1.0","source":{"id":"1804.00385","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00385","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00385v1","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00385","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"pith_short_12","alias_value":"GT4LAZSDBWUL","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"GT4LAZSDBWULM6RW","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"GT4LAZSD","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:fc3b5203f8a0862f5c21c242ea6467909e8ebdb5a06e03c17ca26523d273a674","target":"graph","created_at":"2026-05-18T00:19:37Z","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":"A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification. It is inline with the conventional GMM i-vector approach both theoretically and practically. We imitate the mechanism of traditional GMM training and Supervector encoding procedure on the top of CNN. The proposed layer can accumulate high-order statistics from variable-length input sequence and generate an utterance level fixed-dimensional vector representation. Unlike the conventional methods, our new approach provides an end-to-end learning framework, where the inherent dictionary ar","authors_text":"Ming Li, Weicheng Cai, Xiang Zhang, Xiaoqi Wang, Zexin Cai","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2018-04-02T03:31:01Z","title":"A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00385","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":"sha256:55926ecfdd43084839b729b9bd2a0b9ff6559e6c69d202d4cc2075193aca5d8c","target":"record","created_at":"2026-05-18T00:19:37Z","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":"8fc2a17de52080083412c0e91e830b3105e1a1e29799569c39e8bf39713ba428","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2018-04-02T03:31:01Z","title_canon_sha256":"3cd972d2b96d6f3138946d754b904c9b5e2d4a2c31e9140d3eb3582cfb09ab5b"},"schema_version":"1.0","source":{"id":"1804.00385","kind":"arxiv","version":1}},"canonical_sha256":"34f8b066430da8b67a36044b2de7753fb78689ceca55b6fb3a766d82e09ca577","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34f8b066430da8b67a36044b2de7753fb78689ceca55b6fb3a766d82e09ca577","first_computed_at":"2026-05-18T00:19:37.413512Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:37.413512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CvTaNohHKi2bBI3CgF158+k/mYnat2iOYv5Hfm1/BBA74z6PrKoA3MeTJJDu8+pDHqssJjNGObKOQqKMOmZWAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:37.414261Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.00385","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55926ecfdd43084839b729b9bd2a0b9ff6559e6c69d202d4cc2075193aca5d8c","sha256:fc3b5203f8a0862f5c21c242ea6467909e8ebdb5a06e03c17ca26523d273a674"],"state_sha256":"53783a3b3805265a9d808d9989c7b9f93c2128ffa3da86fc6a68d7d0484cb187"}