{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:KS2P4M6WVYJD2BXABEXSL5AXTP","short_pith_number":"pith:KS2P4M6W","canonical_record":{"source":{"id":"1805.07024","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T02:33:53Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"bbbd2f4027101c264f35d885fe0bffc86fc25fc6a868b90c122898e062f5248a","abstract_canon_sha256":"d318c2dee72d1b1141cdd0c554cd7750361b0f99a680b4fe21a8b1e9e081c47a"},"schema_version":"1.0"},"canonical_sha256":"54b4fe33d6ae123d06e0092f25f4179be461a1900b3ea53c89fc92806024baf4","source":{"kind":"arxiv","id":"1805.07024","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07024","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07024v1","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07024","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"pith_short_12","alias_value":"KS2P4M6WVYJD","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KS2P4M6WVYJD2BXA","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KS2P4M6W","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:KS2P4M6WVYJD2BXABEXSL5AXTP","target":"record","payload":{"canonical_record":{"source":{"id":"1805.07024","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T02:33:53Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"bbbd2f4027101c264f35d885fe0bffc86fc25fc6a868b90c122898e062f5248a","abstract_canon_sha256":"d318c2dee72d1b1141cdd0c554cd7750361b0f99a680b4fe21a8b1e9e081c47a"},"schema_version":"1.0"},"canonical_sha256":"54b4fe33d6ae123d06e0092f25f4179be461a1900b3ea53c89fc92806024baf4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:41.299643Z","signature_b64":"mDy3b0S2LuSumiLLxcWU6TkCF4YgqfAMqHn6V9H15vlTuR/sAcCtQTLncg/TOmFZE6Kp82LavIXLOrOCKDhFDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54b4fe33d6ae123d06e0092f25f4179be461a1900b3ea53c89fc92806024baf4","last_reissued_at":"2026-05-18T00:15:41.298913Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:41.298913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.07024","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":"2026-05-18T00:15:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gIoK/rlBTMtpwbdBMlbGvBZgbhKBCmN/zsX1gTmnjjewnfRhnSPfepb/kmifheoJt8qQc7tpcWXVjpHL1M8XAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T14:12:55.322667Z"},"content_sha256":"a461be5d3eea197b0fd3f8acf518b2304fcba3481c37d5789b4c0619010dc48a","schema_version":"1.0","event_id":"sha256:a461be5d3eea197b0fd3f8acf518b2304fcba3481c37d5789b4c0619010dc48a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:KS2P4M6WVYJD2BXABEXSL5AXTP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gated Recurrent Unit Based Acoustic Modeling with Future Context","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Jie Li, Xiaorui Wang, Yan Li, Yuanyuan Zhao","submitted_at":"2018-05-18T02:33:53Z","abstract_excerpt":"The use of future contextual information is typically shown to be helpful for acoustic modeling. However, for the recurrent neural network (RNN), it's not so easy to model the future temporal context effectively, meanwhile keep lower model latency. In this paper, we attempt to design a RNN acoustic model that being capable of utilizing the future context effectively and directly, with the model latency and computation cost as low as possible. The proposed model is based on the minimal gated recurrent unit (mGRU) with an input projection layer inserted in it. Two context modules, temporal encod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07024","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":"2026-05-18T00:15:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aySc2dx4zhrHi0h9w4CO+94iUkoUoq+TjsE5LJjgRMDnQlMzsYnwAA215y7mmaWTLcgRgpLbstl++uJdpAdpDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T14:12:55.323021Z"},"content_sha256":"02187e60c5a8b85f17471e5a00433aa28a53cf45be6dc7b3b4f49e1b6069738a","schema_version":"1.0","event_id":"sha256:02187e60c5a8b85f17471e5a00433aa28a53cf45be6dc7b3b4f49e1b6069738a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KS2P4M6WVYJD2BXABEXSL5AXTP/bundle.json","state_url":"https://pith.science/pith/KS2P4M6WVYJD2BXABEXSL5AXTP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KS2P4M6WVYJD2BXABEXSL5AXTP/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":"2026-06-08T14:12:55Z","links":{"resolver":"https://pith.science/pith/KS2P4M6WVYJD2BXABEXSL5AXTP","bundle":"https://pith.science/pith/KS2P4M6WVYJD2BXABEXSL5AXTP/bundle.json","state":"https://pith.science/pith/KS2P4M6WVYJD2BXABEXSL5AXTP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KS2P4M6WVYJD2BXABEXSL5AXTP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KS2P4M6WVYJD2BXABEXSL5AXTP","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":"d318c2dee72d1b1141cdd0c554cd7750361b0f99a680b4fe21a8b1e9e081c47a","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T02:33:53Z","title_canon_sha256":"bbbd2f4027101c264f35d885fe0bffc86fc25fc6a868b90c122898e062f5248a"},"schema_version":"1.0","source":{"id":"1805.07024","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07024","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07024v1","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07024","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"pith_short_12","alias_value":"KS2P4M6WVYJD","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KS2P4M6WVYJD2BXA","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KS2P4M6W","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:02187e60c5a8b85f17471e5a00433aa28a53cf45be6dc7b3b4f49e1b6069738a","target":"graph","created_at":"2026-05-18T00:15:41Z","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. However, for the recurrent neural network (RNN), it's not so easy to model the future temporal context effectively, meanwhile keep lower model latency. In this paper, we attempt to design a RNN acoustic model that being capable of utilizing the future context effectively and directly, with the model latency and computation cost as low as possible. The proposed model is based on the minimal gated recurrent unit (mGRU) with an input projection layer inserted in it. Two context modules, temporal encod","authors_text":"Jie Li, Xiaorui Wang, Yan Li, Yuanyuan Zhao","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T02:33:53Z","title":"Gated Recurrent Unit Based Acoustic Modeling with Future Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07024","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:a461be5d3eea197b0fd3f8acf518b2304fcba3481c37d5789b4c0619010dc48a","target":"record","created_at":"2026-05-18T00:15:41Z","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":"d318c2dee72d1b1141cdd0c554cd7750361b0f99a680b4fe21a8b1e9e081c47a","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-18T02:33:53Z","title_canon_sha256":"bbbd2f4027101c264f35d885fe0bffc86fc25fc6a868b90c122898e062f5248a"},"schema_version":"1.0","source":{"id":"1805.07024","kind":"arxiv","version":1}},"canonical_sha256":"54b4fe33d6ae123d06e0092f25f4179be461a1900b3ea53c89fc92806024baf4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54b4fe33d6ae123d06e0092f25f4179be461a1900b3ea53c89fc92806024baf4","first_computed_at":"2026-05-18T00:15:41.298913Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:41.298913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mDy3b0S2LuSumiLLxcWU6TkCF4YgqfAMqHn6V9H15vlTuR/sAcCtQTLncg/TOmFZE6Kp82LavIXLOrOCKDhFDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:41.299643Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.07024","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a461be5d3eea197b0fd3f8acf518b2304fcba3481c37d5789b4c0619010dc48a","sha256:02187e60c5a8b85f17471e5a00433aa28a53cf45be6dc7b3b4f49e1b6069738a"],"state_sha256":"2f3a3d84c5ec695e017f009af82ed6a6bc83732b9758518b4c96768c22af107c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fF3aOOEQcU87URIeiWy1QjYtfaYUoeq7Z92+bi8ReNzsJhp7xIq0aFnbtE7OplP61SH0ltBatwpEkTzi3pTIDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T14:12:55.325284Z","bundle_sha256":"b9d71a76c666078d75efbd57cb2332377a4efc99c070e6edb2d5e74003030404"}}