{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IGPKZYU2W3P7VEDZXUPXTGR6JF","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":"dea1a15a5e989fcb51d81881a3deb69ef1aa738151ca8edb5150401ee143ea25","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-26T04:00:03Z","title_canon_sha256":"d81e5e4dace62ac8865d72583bd96f46404fa6527a3a071d12f19bed57cdeb3c"},"schema_version":"1.0","source":{"id":"1811.10169","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.10169","created_at":"2026-05-17T23:59:58Z"},{"alias_kind":"arxiv_version","alias_value":"1811.10169v1","created_at":"2026-05-17T23:59:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.10169","created_at":"2026-05-17T23:59:58Z"},{"alias_kind":"pith_short_12","alias_value":"IGPKZYU2W3P7","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"IGPKZYU2W3P7VEDZ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"IGPKZYU2","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:e0fce2d6c3cdbd58ba83725dddcd93243d8a54b2ba5ff20569647a7e0a2f6ee5","target":"graph","created_at":"2026-05-17T23:59:58Z","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":"The use of future contextual information is typically shown to be helpful for acoustic modeling. Recently, we proposed a RNN model called minimal gated recurrent unit with input projection (mGRUIP), in which a context module namely temporal convolution, is specifically designed to model the future context. This model, mGRUIP with context module (mGRUIP-Ctx), has been shown to be able of utilizing the future context effectively, meanwhile with quite low model latency and computation cost. In this paper, we continue to improve mGRUIP-Ctx with two revisions: applying BN methods and enlarging mode","authors_text":"Jie Li, Xiaorui Wang, Yahui Shan, Yan Li","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-26T04:00:03Z","title":"Improving Gated Recurrent Unit Based Acoustic Modeling with Batch Normalization and Enlarged Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.10169","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":"sha256:7c4e3480f45efd9238a889b1264c7568c89da17fe0600ec40d2c3310e42b3e15","target":"record","created_at":"2026-05-17T23:59:58Z","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":"dea1a15a5e989fcb51d81881a3deb69ef1aa738151ca8edb5150401ee143ea25","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-26T04:00:03Z","title_canon_sha256":"d81e5e4dace62ac8865d72583bd96f46404fa6527a3a071d12f19bed57cdeb3c"},"schema_version":"1.0","source":{"id":"1811.10169","kind":"arxiv","version":1}},"canonical_sha256":"419eace29ab6dffa9079bd1f799a3e495fee97c9544f63fdef5b4e33a376da87","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"419eace29ab6dffa9079bd1f799a3e495fee97c9544f63fdef5b4e33a376da87","first_computed_at":"2026-05-17T23:59:58.510203Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:58.510203Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UIjlb6xQzwxw5kIrVBqACCCTBMrCbFFDQwQdsTmgNlKddMfym00bSQ9xO3tV8tcErZCvMFpDFfTzTj55JFn1Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:58.510627Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.10169","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c4e3480f45efd9238a889b1264c7568c89da17fe0600ec40d2c3310e42b3e15","sha256:e0fce2d6c3cdbd58ba83725dddcd93243d8a54b2ba5ff20569647a7e0a2f6ee5"],"state_sha256":"8e6086a58a34614139efc960801ead58e29d1a4bac71e91b7b3da75c6c87dea4"}