{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AIYM7BH5ENBYOIAGGWWIWPJ6F6","short_pith_number":"pith:AIYM7BH5","canonical_record":{"source":{"id":"2206.05777","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-12T16:13:01Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"89cdf757bd2bf24cd055c94e6a1d836fb9477342dc1176dd3ad0d456202ee18a","abstract_canon_sha256":"784dd17a0a19c06b3ec9ebc162200f72d57417cf4427f438ef451829ca8f0071"},"schema_version":"1.0"},"canonical_sha256":"0230cf84fd234387200635ac8b3d3e2fb2e0c24c3aa912fd2315e0ecb5b30149","source":{"kind":"arxiv","id":"2206.05777","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.05777","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"2206.05777v2","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.05777","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"AIYM7BH5ENBY","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"pith_short_16","alias_value":"AIYM7BH5ENBYOIAG","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"pith_short_8","alias_value":"AIYM7BH5","created_at":"2026-07-05T04:31:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AIYM7BH5ENBYOIAGGWWIWPJ6F6","target":"record","payload":{"canonical_record":{"source":{"id":"2206.05777","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-12T16:13:01Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"89cdf757bd2bf24cd055c94e6a1d836fb9477342dc1176dd3ad0d456202ee18a","abstract_canon_sha256":"784dd17a0a19c06b3ec9ebc162200f72d57417cf4427f438ef451829ca8f0071"},"schema_version":"1.0"},"canonical_sha256":"0230cf84fd234387200635ac8b3d3e2fb2e0c24c3aa912fd2315e0ecb5b30149","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:31:41.401294Z","signature_b64":"7uWJL/AsxSN6dfYd9PhfVoi9NVuG0AIMgy+f7YIWTttBhVkOOhUqUykfLLBkouuayvSm/l7VQOr69oL4a2V6DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0230cf84fd234387200635ac8b3d3e2fb2e0c24c3aa912fd2315e0ecb5b30149","last_reissued_at":"2026-07-05T04:31:41.400805Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:31:41.400805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.05777","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/iHeBcUn6Zf8jDH0cQG4N1mPNu96Afcl1TXt+BrRtQ8163t8Tkq+ETMQh7Cy7wP7yoIpIX7kXEBZUI4HcbADDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:37:59.486537Z"},"content_sha256":"73cbb4a950b8abde6355cbf63636a86eb5b2d3add61fd62b468cfc5e88096e67","schema_version":"1.0","event_id":"sha256:73cbb4a950b8abde6355cbf63636a86eb5b2d3add61fd62b468cfc5e88096e67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AIYM7BH5ENBYOIAGGWWIWPJ6F6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The YiTrans End-to-End Speech Translation System for IWSLT 2022 Offline Shared Task","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.CL","authors_text":"Furu Wei, Jinyu Li, Junyi Ao, Long Zhou, Shujie Liu, Ziqiang Zhang","submitted_at":"2022-06-12T16:13:01Z","abstract_excerpt":"This paper describes the submission of our end-to-end YiTrans speech translation system for the IWSLT 2022 offline task, which translates from English audio to German, Chinese, and Japanese. The YiTrans system is built on large-scale pre-trained encoder-decoder models. More specifically, we first design a multi-stage pre-training strategy to build a multi-modality model with a large amount of labeled and unlabeled data. We then fine-tune the corresponding components of the model for the downstream speech translation tasks. Moreover, we make various efforts to improve performance, such as data "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.05777","kind":"arxiv","version":2},"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/2206.05777/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":"2026-07-05T04:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sYpgYlwh+jl1s3dhSI+rdJlkJVXTy5VmM4/mhbghqSdiHyAGbqVRINDJnuIS7isRIID/yRk5GJwqiLkgo8GnCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:37:59.487168Z"},"content_sha256":"e427f9e8542a706336f57d3587b4413d1b149c5f69b3d3000d2f54332bc5de7b","schema_version":"1.0","event_id":"sha256:e427f9e8542a706336f57d3587b4413d1b149c5f69b3d3000d2f54332bc5de7b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AIYM7BH5ENBYOIAGGWWIWPJ6F6/bundle.json","state_url":"https://pith.science/pith/AIYM7BH5ENBYOIAGGWWIWPJ6F6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AIYM7BH5ENBYOIAGGWWIWPJ6F6/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":"2026-07-08T07:37:59Z","links":{"resolver":"https://pith.science/pith/AIYM7BH5ENBYOIAGGWWIWPJ6F6","bundle":"https://pith.science/pith/AIYM7BH5ENBYOIAGGWWIWPJ6F6/bundle.json","state":"https://pith.science/pith/AIYM7BH5ENBYOIAGGWWIWPJ6F6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AIYM7BH5ENBYOIAGGWWIWPJ6F6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AIYM7BH5ENBYOIAGGWWIWPJ6F6","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":"784dd17a0a19c06b3ec9ebc162200f72d57417cf4427f438ef451829ca8f0071","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-12T16:13:01Z","title_canon_sha256":"89cdf757bd2bf24cd055c94e6a1d836fb9477342dc1176dd3ad0d456202ee18a"},"schema_version":"1.0","source":{"id":"2206.05777","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.05777","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"2206.05777v2","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.05777","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"AIYM7BH5ENBY","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"pith_short_16","alias_value":"AIYM7BH5ENBYOIAG","created_at":"2026-07-05T04:31:41Z"},{"alias_kind":"pith_short_8","alias_value":"AIYM7BH5","created_at":"2026-07-05T04:31:41Z"}],"graph_snapshots":[{"event_id":"sha256:e427f9e8542a706336f57d3587b4413d1b149c5f69b3d3000d2f54332bc5de7b","target":"graph","created_at":"2026-07-05T04:31:41Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2206.05777/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper describes the submission of our end-to-end YiTrans speech translation system for the IWSLT 2022 offline task, which translates from English audio to German, Chinese, and Japanese. The YiTrans system is built on large-scale pre-trained encoder-decoder models. More specifically, we first design a multi-stage pre-training strategy to build a multi-modality model with a large amount of labeled and unlabeled data. We then fine-tune the corresponding components of the model for the downstream speech translation tasks. Moreover, we make various efforts to improve performance, such as data ","authors_text":"Furu Wei, Jinyu Li, Junyi Ao, Long Zhou, Shujie Liu, Ziqiang Zhang","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-12T16:13:01Z","title":"The YiTrans End-to-End Speech Translation System for IWSLT 2022 Offline Shared Task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.05777","kind":"arxiv","version":2},"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":"sha256:73cbb4a950b8abde6355cbf63636a86eb5b2d3add61fd62b468cfc5e88096e67","target":"record","created_at":"2026-07-05T04:31:41Z","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":"784dd17a0a19c06b3ec9ebc162200f72d57417cf4427f438ef451829ca8f0071","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-12T16:13:01Z","title_canon_sha256":"89cdf757bd2bf24cd055c94e6a1d836fb9477342dc1176dd3ad0d456202ee18a"},"schema_version":"1.0","source":{"id":"2206.05777","kind":"arxiv","version":2}},"canonical_sha256":"0230cf84fd234387200635ac8b3d3e2fb2e0c24c3aa912fd2315e0ecb5b30149","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0230cf84fd234387200635ac8b3d3e2fb2e0c24c3aa912fd2315e0ecb5b30149","first_computed_at":"2026-07-05T04:31:41.400805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:31:41.400805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7uWJL/AsxSN6dfYd9PhfVoi9NVuG0AIMgy+f7YIWTttBhVkOOhUqUykfLLBkouuayvSm/l7VQOr69oL4a2V6DA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:31:41.401294Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.05777","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73cbb4a950b8abde6355cbf63636a86eb5b2d3add61fd62b468cfc5e88096e67","sha256:e427f9e8542a706336f57d3587b4413d1b149c5f69b3d3000d2f54332bc5de7b"],"state_sha256":"056dde2f23601a7dd985fc1673e2691e2db2f10f61eedb18fe10af2eec5081d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1pzhSkD/hRXty/oHcCI9cqZf77LjH5uDu/U9kXaUi72jvlCR/JYqq0fLHmiCC1EVQKpw1Cc95/rPzAmXJT85BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T07:37:59.491100Z","bundle_sha256":"6aa7f3e158743f5addf054c55e026178e2d2e07f437725a9ac9cd83ffd24bd7d"}}