{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:SI3373RVTG2ULOQ4O3WM6HFLJ5","short_pith_number":"pith:SI3373RV","canonical_record":{"source":{"id":"2105.03036","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SD","submitted_at":"2021-05-07T02:38:23Z","cross_cats_sorted":["cs.CL","eess.AS"],"title_canon_sha256":"34845dd14cad3294c715cfaa366b541344f897e89313e71d1fd244dbf3c68432","abstract_canon_sha256":"f73e4aa529e00593e77359a3838f7bb2a94708b6a30acd526d395f9e7f34bda6"},"schema_version":"1.0"},"canonical_sha256":"9237bfee3599b545ba1c76eccf1cab4f48716e38e4ebe6d06c61bf75ddbccaba","source":{"kind":"arxiv","id":"2105.03036","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.03036","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"arxiv_version","alias_value":"2105.03036v1","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.03036","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"pith_short_12","alias_value":"SI3373RVTG2U","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"pith_short_16","alias_value":"SI3373RVTG2ULOQ4","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"pith_short_8","alias_value":"SI3373RV","created_at":"2026-07-05T02:38:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:SI3373RVTG2ULOQ4O3WM6HFLJ5","target":"record","payload":{"canonical_record":{"source":{"id":"2105.03036","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SD","submitted_at":"2021-05-07T02:38:23Z","cross_cats_sorted":["cs.CL","eess.AS"],"title_canon_sha256":"34845dd14cad3294c715cfaa366b541344f897e89313e71d1fd244dbf3c68432","abstract_canon_sha256":"f73e4aa529e00593e77359a3838f7bb2a94708b6a30acd526d395f9e7f34bda6"},"schema_version":"1.0"},"canonical_sha256":"9237bfee3599b545ba1c76eccf1cab4f48716e38e4ebe6d06c61bf75ddbccaba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:38:20.897236Z","signature_b64":"dpj/a9GoZLzE3Y0iogLRcMy6YP7d4bUvcn7xtTYfVwLsfo6HEeKmqVjiTHX61GZGpUAuTxS4Hmg4pqr5ZfE0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9237bfee3599b545ba1c76eccf1cab4f48716e38e4ebe6d06c61bf75ddbccaba","last_reissued_at":"2026-07-05T02:38:20.896718Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:38:20.896718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.03036","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":"2026-07-05T02:38:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zDqJhgUz7bm2/CWEE2OJw1j2tZ40yBL+8iIwNmo5unBPskCF1HQjJd1wp70F/0Mq1QBc2VPD6vHDBEA5QRO9Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:13:50.147302Z"},"content_sha256":"fa1b5456e82acc3581bef797696c6d13c422a19bf1ce865cbd821fe0cacf9d00","schema_version":"1.0","event_id":"sha256:fa1b5456e82acc3581bef797696c6d13c422a19bf1ce865cbd821fe0cacf9d00"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:SI3373RVTG2ULOQ4O3WM6HFLJ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CL","eess.AS"],"primary_cat":"cs.SD","authors_text":"Dan Su, Dong Yu, Shulin Feng, Zhao You","submitted_at":"2021-05-07T02:38:23Z","abstract_excerpt":"Recently, Mixture of Experts (MoE) based Transformer has shown promising results in many domains. This is largely due to the following advantages of this architecture: firstly, MoE based Transformer can increase model capacity without computational cost increasing both at training and inference time. Besides, MoE based Transformer is a dynamic network which can adapt to the varying complexity of input instances in realworld applications. In this work, we explore the MoE based model for speech recognition, named SpeechMoE. To further control the sparsity of router activation and improve the div"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.03036","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/2105.03036/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":"2026-07-05T02:38:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6R7NByWp8no8LIBgW1SMUm0GuNBjoZGB2BGvy1dVrC5ParWdNWeA0d/NeTUH2SKwV1s2cUWxpgE0C85sFfHLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:13:50.147835Z"},"content_sha256":"2cb8de42e07ceb90c61b1800332d4948a960fdb4079cc0709ecb9c7ca8df35ab","schema_version":"1.0","event_id":"sha256:2cb8de42e07ceb90c61b1800332d4948a960fdb4079cc0709ecb9c7ca8df35ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SI3373RVTG2ULOQ4O3WM6HFLJ5/bundle.json","state_url":"https://pith.science/pith/SI3373RVTG2ULOQ4O3WM6HFLJ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SI3373RVTG2ULOQ4O3WM6HFLJ5/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":"2026-08-10T20:13:50Z","links":{"resolver":"https://pith.science/pith/SI3373RVTG2ULOQ4O3WM6HFLJ5","bundle":"https://pith.science/pith/SI3373RVTG2ULOQ4O3WM6HFLJ5/bundle.json","state":"https://pith.science/pith/SI3373RVTG2ULOQ4O3WM6HFLJ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SI3373RVTG2ULOQ4O3WM6HFLJ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:SI3373RVTG2ULOQ4O3WM6HFLJ5","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":"f73e4aa529e00593e77359a3838f7bb2a94708b6a30acd526d395f9e7f34bda6","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SD","submitted_at":"2021-05-07T02:38:23Z","title_canon_sha256":"34845dd14cad3294c715cfaa366b541344f897e89313e71d1fd244dbf3c68432"},"schema_version":"1.0","source":{"id":"2105.03036","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.03036","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"arxiv_version","alias_value":"2105.03036v1","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.03036","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"pith_short_12","alias_value":"SI3373RVTG2U","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"pith_short_16","alias_value":"SI3373RVTG2ULOQ4","created_at":"2026-07-05T02:38:20Z"},{"alias_kind":"pith_short_8","alias_value":"SI3373RV","created_at":"2026-07-05T02:38:20Z"}],"graph_snapshots":[{"event_id":"sha256:2cb8de42e07ceb90c61b1800332d4948a960fdb4079cc0709ecb9c7ca8df35ab","target":"graph","created_at":"2026-07-05T02:38:20Z","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/2105.03036/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Mixture of Experts (MoE) based Transformer has shown promising results in many domains. This is largely due to the following advantages of this architecture: firstly, MoE based Transformer can increase model capacity without computational cost increasing both at training and inference time. Besides, MoE based Transformer is a dynamic network which can adapt to the varying complexity of input instances in realworld applications. In this work, we explore the MoE based model for speech recognition, named SpeechMoE. To further control the sparsity of router activation and improve the div","authors_text":"Dan Su, Dong Yu, Shulin Feng, Zhao You","cross_cats":["cs.CL","eess.AS"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SD","submitted_at":"2021-05-07T02:38:23Z","title":"SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.03036","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:fa1b5456e82acc3581bef797696c6d13c422a19bf1ce865cbd821fe0cacf9d00","target":"record","created_at":"2026-07-05T02:38:20Z","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":"f73e4aa529e00593e77359a3838f7bb2a94708b6a30acd526d395f9e7f34bda6","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SD","submitted_at":"2021-05-07T02:38:23Z","title_canon_sha256":"34845dd14cad3294c715cfaa366b541344f897e89313e71d1fd244dbf3c68432"},"schema_version":"1.0","source":{"id":"2105.03036","kind":"arxiv","version":1}},"canonical_sha256":"9237bfee3599b545ba1c76eccf1cab4f48716e38e4ebe6d06c61bf75ddbccaba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9237bfee3599b545ba1c76eccf1cab4f48716e38e4ebe6d06c61bf75ddbccaba","first_computed_at":"2026-07-05T02:38:20.896718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:38:20.896718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dpj/a9GoZLzE3Y0iogLRcMy6YP7d4bUvcn7xtTYfVwLsfo6HEeKmqVjiTHX61GZGpUAuTxS4Hmg4pqr5ZfE0Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:38:20.897236Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.03036","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa1b5456e82acc3581bef797696c6d13c422a19bf1ce865cbd821fe0cacf9d00","sha256:2cb8de42e07ceb90c61b1800332d4948a960fdb4079cc0709ecb9c7ca8df35ab"],"state_sha256":"a394a190c2dde4ace0a9ad570d0a30a96e6e7ed0e5a0b25288102b97d8460745"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wktTTsO02SplexjrdrRaDtw6/dcJJV0P2Ne5rRumQkFnEPe2S/fzfmXHmkTaP3I/RNHiu3VrXePfRJaWo1oXAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:13:50.152763Z","bundle_sha256":"5c052a352e2a11301b7eed09ac594ec882577a7208aaf89b48e84fba78b97e0c"}}