{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:G7XR7TKLUAJUDQ23QNECHL6LFS","short_pith_number":"pith:G7XR7TKL","canonical_record":{"source":{"id":"2210.14448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-26T03:42:55Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"24d5e69dc28dcdf4f5f13ca338ed10f4af7f78512ea6f530bfe0439c18a179dd","abstract_canon_sha256":"26b034d116c2c0735c5b2e968f59bb11d27fe7cc47ce33089d18462a451689bb"},"schema_version":"1.0"},"canonical_sha256":"37ef1fcd4ba01341c35b834823afcb2cb86776e5e9ed4afdebfab81cd4f8902b","source":{"kind":"arxiv","id":"2210.14448","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14448","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14448v1","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14448","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"pith_short_12","alias_value":"G7XR7TKLUAJU","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"pith_short_16","alias_value":"G7XR7TKLUAJUDQ23","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"pith_short_8","alias_value":"G7XR7TKL","created_at":"2026-07-05T05:10:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:G7XR7TKLUAJUDQ23QNECHL6LFS","target":"record","payload":{"canonical_record":{"source":{"id":"2210.14448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-26T03:42:55Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"24d5e69dc28dcdf4f5f13ca338ed10f4af7f78512ea6f530bfe0439c18a179dd","abstract_canon_sha256":"26b034d116c2c0735c5b2e968f59bb11d27fe7cc47ce33089d18462a451689bb"},"schema_version":"1.0"},"canonical_sha256":"37ef1fcd4ba01341c35b834823afcb2cb86776e5e9ed4afdebfab81cd4f8902b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:10:45.238082Z","signature_b64":"2Y104H9CK0qKbmjsJ1qvXAcj89L40lwfjvrl2QbAkuetVRR3OLjZzz5yE9/SjtASwmnaZ+VunL6EbPexMzfGDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37ef1fcd4ba01341c35b834823afcb2cb86776e5e9ed4afdebfab81cd4f8902b","last_reissued_at":"2026-07-05T05:10:45.237628Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:10:45.237628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.14448","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":"2026-07-05T05:10:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cl3pmZjTqes6x38hBo4KXL2ei+uiUsjgWGkvqeXla6BRDcPurM8db+Oohqa2TRYTwJeArVJTKW2PmV7m0wnlBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:44:36.059592Z"},"content_sha256":"c55978111807a787ffab3b2392be005733b4628da4bc25887eb09707d5a14845","schema_version":"1.0","event_id":"sha256:c55978111807a787ffab3b2392be005733b4628da4bc25887eb09707d5a14845"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:G7XR7TKLUAJUDQ23QNECHL6LFS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The NPU-ASLP System for The ISCSLP 2022 Magichub Code-Swiching ASR Challenge","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Fan Yu, Lei Xie, Peikun Chen, Tianyi Xu, Xinfa Zhu, Yuhao Liang","submitted_at":"2022-10-26T03:42:55Z","abstract_excerpt":"This paper describes our NPU-ASLP system submitted to the ISCSLP 2022 Magichub Code-Switching ASR Challenge. In this challenge, we first explore several popular end-to-end ASR architectures and training strategies, including bi-encoder, language-aware encoder (LAE) and mixture of experts (MoE). To improve our system's language modeling ability, we further attempt the internal language model as well as the long context language model. Given the limited training data in the challenge, we further investigate the effects of data augmentation, including speed perturbation, pitch shifting, speech co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14448","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/2210.14448/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":"2026-07-05T05:10:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QqAJ1Gbe8ugv+yB62uqAbL7vDX7/UF7OL8voEHkusJjto9yeTTHq0TOjpdTHfJ1VVUsJKAsWEErPWfSXN2OmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:44:36.060173Z"},"content_sha256":"b8d51f8cdcbe8d84c65d63f11c9618e20dc92226a4b501b67d75fa66e506f5ef","schema_version":"1.0","event_id":"sha256:b8d51f8cdcbe8d84c65d63f11c9618e20dc92226a4b501b67d75fa66e506f5ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G7XR7TKLUAJUDQ23QNECHL6LFS/bundle.json","state_url":"https://pith.science/pith/G7XR7TKLUAJUDQ23QNECHL6LFS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G7XR7TKLUAJUDQ23QNECHL6LFS/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":"2026-08-04T12:44:36Z","links":{"resolver":"https://pith.science/pith/G7XR7TKLUAJUDQ23QNECHL6LFS","bundle":"https://pith.science/pith/G7XR7TKLUAJUDQ23QNECHL6LFS/bundle.json","state":"https://pith.science/pith/G7XR7TKLUAJUDQ23QNECHL6LFS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G7XR7TKLUAJUDQ23QNECHL6LFS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:G7XR7TKLUAJUDQ23QNECHL6LFS","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":"26b034d116c2c0735c5b2e968f59bb11d27fe7cc47ce33089d18462a451689bb","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-26T03:42:55Z","title_canon_sha256":"24d5e69dc28dcdf4f5f13ca338ed10f4af7f78512ea6f530bfe0439c18a179dd"},"schema_version":"1.0","source":{"id":"2210.14448","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14448","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14448v1","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14448","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"pith_short_12","alias_value":"G7XR7TKLUAJU","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"pith_short_16","alias_value":"G7XR7TKLUAJUDQ23","created_at":"2026-07-05T05:10:45Z"},{"alias_kind":"pith_short_8","alias_value":"G7XR7TKL","created_at":"2026-07-05T05:10:45Z"}],"graph_snapshots":[{"event_id":"sha256:b8d51f8cdcbe8d84c65d63f11c9618e20dc92226a4b501b67d75fa66e506f5ef","target":"graph","created_at":"2026-07-05T05:10:45Z","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/2210.14448/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper describes our NPU-ASLP system submitted to the ISCSLP 2022 Magichub Code-Switching ASR Challenge. In this challenge, we first explore several popular end-to-end ASR architectures and training strategies, including bi-encoder, language-aware encoder (LAE) and mixture of experts (MoE). To improve our system's language modeling ability, we further attempt the internal language model as well as the long context language model. Given the limited training data in the challenge, we further investigate the effects of data augmentation, including speed perturbation, pitch shifting, speech co","authors_text":"Fan Yu, Lei Xie, Peikun Chen, Tianyi Xu, Xinfa Zhu, Yuhao Liang","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-26T03:42:55Z","title":"The NPU-ASLP System for The ISCSLP 2022 Magichub Code-Swiching ASR Challenge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14448","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:c55978111807a787ffab3b2392be005733b4628da4bc25887eb09707d5a14845","target":"record","created_at":"2026-07-05T05:10:45Z","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":"26b034d116c2c0735c5b2e968f59bb11d27fe7cc47ce33089d18462a451689bb","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-26T03:42:55Z","title_canon_sha256":"24d5e69dc28dcdf4f5f13ca338ed10f4af7f78512ea6f530bfe0439c18a179dd"},"schema_version":"1.0","source":{"id":"2210.14448","kind":"arxiv","version":1}},"canonical_sha256":"37ef1fcd4ba01341c35b834823afcb2cb86776e5e9ed4afdebfab81cd4f8902b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37ef1fcd4ba01341c35b834823afcb2cb86776e5e9ed4afdebfab81cd4f8902b","first_computed_at":"2026-07-05T05:10:45.237628Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:45.237628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2Y104H9CK0qKbmjsJ1qvXAcj89L40lwfjvrl2QbAkuetVRR3OLjZzz5yE9/SjtASwmnaZ+VunL6EbPexMzfGDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:45.238082Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.14448","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c55978111807a787ffab3b2392be005733b4628da4bc25887eb09707d5a14845","sha256:b8d51f8cdcbe8d84c65d63f11c9618e20dc92226a4b501b67d75fa66e506f5ef"],"state_sha256":"011055f4956fb937ccf6dafaa80a8e945ffecbb4b0379a3850b090c66e7abbcf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xdW5yT8kAOXpMZCWJQyziiO3pmujUwKDCZlD9rX4KnoZqk4k6eX87tZocM1XXGGmKUUC49oOCeuT+snrxrPPBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:44:36.087513Z","bundle_sha256":"6be8206fd0335a7201379ce5bfcc9f5e64ba034d4ce34e59f62dafd3a7c74424"}}