{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7E4P7T5CMMZHQYJJJRDWD75UUK","short_pith_number":"pith:7E4P7T5C","canonical_record":{"source":{"id":"2105.00858","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-04-27T23:31:43Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"e9976ab0fa8ac8860cb28b6f43b2dc726e06077f4888673ce3855fbb41af65f4","abstract_canon_sha256":"d62b19e279eb8cf2fd28518a2677ee76b2c86e58dd130e6c2983a64d11b4438c"},"schema_version":"1.0"},"canonical_sha256":"f938ffcfa263327861294c4761ffb4a2a675ff2766364acfdf6470b40d44b811","source":{"kind":"arxiv","id":"2105.00858","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.00858","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"arxiv_version","alias_value":"2105.00858v3","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.00858","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"pith_short_12","alias_value":"7E4P7T5CMMZH","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"pith_short_16","alias_value":"7E4P7T5CMMZHQYJJ","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"pith_short_8","alias_value":"7E4P7T5C","created_at":"2026-07-05T02:58:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7E4P7T5CMMZHQYJJJRDWD75UUK","target":"record","payload":{"canonical_record":{"source":{"id":"2105.00858","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-04-27T23:31:43Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"e9976ab0fa8ac8860cb28b6f43b2dc726e06077f4888673ce3855fbb41af65f4","abstract_canon_sha256":"d62b19e279eb8cf2fd28518a2677ee76b2c86e58dd130e6c2983a64d11b4438c"},"schema_version":"1.0"},"canonical_sha256":"f938ffcfa263327861294c4761ffb4a2a675ff2766364acfdf6470b40d44b811","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:58:41.781671Z","signature_b64":"LSSAV4pChuTN/G5kSJBysOM1/bA0Q1jo3lvpFg1kK+4UyOCfCsQIA9eybGobDW3Dep5nqkJjRnJra4ARLGetDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f938ffcfa263327861294c4761ffb4a2a675ff2766364acfdf6470b40d44b811","last_reissued_at":"2026-07-05T02:58:41.781265Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:58:41.781265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.00858","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:58:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uWgO5PmAmPgD8NLJRtnNHFophemepSectSlfaVQ9oc+1JV3GsVDLgddFUrGG36A9Gt91+h1+yf/gX6wapslmCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T23:42:29.813312Z"},"content_sha256":"ff4fee0e240b96204df49dac38a4b0b83f49d2562c026de53b55e3894bd61053","schema_version":"1.0","event_id":"sha256:ff4fee0e240b96204df49dac38a4b0b83f49d2562c026de53b55e3894bd61053"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7E4P7T5CMMZHQYJJJRDWD75UUK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Addressing Practical Challenges for RNN-Transducer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"eess.AS","authors_text":"Jian Xue, Jinyu Li, Lei He, Rui Zhao, Wenning Wei, Yifan Gong","submitted_at":"2021-04-27T23:31:43Z","abstract_excerpt":"In this paper, several works are proposed to address practical challenges for deploying RNN Transducer (RNN-T) based speech recognition system. These challenges are adapting a well-trained RNN-T model to a new domain without collecting the audio data, obtaining time stamps and confidence scores at word level. The first challenge is solved with a splicing data method which concatenates the speech segments extracted from the source domain data. To get the time stamp, a phone prediction branch is added to the RNN-T model by sharing the encoder for the purpose of force alignment. Finally, we obtai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.00858","kind":"arxiv","version":3},"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/2105.00858/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":"2026-07-05T02:58:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TFgebmOufWj+SSGXqPwr8xVwi6vS13ZgniutOJICs6TDSq9ld8O0BZjYwnIbwiy8xZoVePR2iqMRmot/0RmuDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T23:42:29.813932Z"},"content_sha256":"d071e7e80f92b4c079df517751fc641cb09ba0acfbe8c54a857274778b233bf5","schema_version":"1.0","event_id":"sha256:d071e7e80f92b4c079df517751fc641cb09ba0acfbe8c54a857274778b233bf5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7E4P7T5CMMZHQYJJJRDWD75UUK/bundle.json","state_url":"https://pith.science/pith/7E4P7T5CMMZHQYJJJRDWD75UUK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7E4P7T5CMMZHQYJJJRDWD75UUK/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":"2026-08-19T23:42:29Z","links":{"resolver":"https://pith.science/pith/7E4P7T5CMMZHQYJJJRDWD75UUK","bundle":"https://pith.science/pith/7E4P7T5CMMZHQYJJJRDWD75UUK/bundle.json","state":"https://pith.science/pith/7E4P7T5CMMZHQYJJJRDWD75UUK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7E4P7T5CMMZHQYJJJRDWD75UUK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7E4P7T5CMMZHQYJJJRDWD75UUK","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":"d62b19e279eb8cf2fd28518a2677ee76b2c86e58dd130e6c2983a64d11b4438c","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-04-27T23:31:43Z","title_canon_sha256":"e9976ab0fa8ac8860cb28b6f43b2dc726e06077f4888673ce3855fbb41af65f4"},"schema_version":"1.0","source":{"id":"2105.00858","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.00858","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"arxiv_version","alias_value":"2105.00858v3","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.00858","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"pith_short_12","alias_value":"7E4P7T5CMMZH","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"pith_short_16","alias_value":"7E4P7T5CMMZHQYJJ","created_at":"2026-07-05T02:58:41Z"},{"alias_kind":"pith_short_8","alias_value":"7E4P7T5C","created_at":"2026-07-05T02:58:41Z"}],"graph_snapshots":[{"event_id":"sha256:d071e7e80f92b4c079df517751fc641cb09ba0acfbe8c54a857274778b233bf5","target":"graph","created_at":"2026-07-05T02:58:41Z","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/2105.00858/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, several works are proposed to address practical challenges for deploying RNN Transducer (RNN-T) based speech recognition system. These challenges are adapting a well-trained RNN-T model to a new domain without collecting the audio data, obtaining time stamps and confidence scores at word level. The first challenge is solved with a splicing data method which concatenates the speech segments extracted from the source domain data. To get the time stamp, a phone prediction branch is added to the RNN-T model by sharing the encoder for the purpose of force alignment. Finally, we obtai","authors_text":"Jian Xue, Jinyu Li, Lei He, Rui Zhao, Wenning Wei, Yifan Gong","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-04-27T23:31:43Z","title":"On Addressing Practical Challenges for RNN-Transducer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.00858","kind":"arxiv","version":3},"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:ff4fee0e240b96204df49dac38a4b0b83f49d2562c026de53b55e3894bd61053","target":"record","created_at":"2026-07-05T02:58:41Z","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":"d62b19e279eb8cf2fd28518a2677ee76b2c86e58dd130e6c2983a64d11b4438c","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-04-27T23:31:43Z","title_canon_sha256":"e9976ab0fa8ac8860cb28b6f43b2dc726e06077f4888673ce3855fbb41af65f4"},"schema_version":"1.0","source":{"id":"2105.00858","kind":"arxiv","version":3}},"canonical_sha256":"f938ffcfa263327861294c4761ffb4a2a675ff2766364acfdf6470b40d44b811","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f938ffcfa263327861294c4761ffb4a2a675ff2766364acfdf6470b40d44b811","first_computed_at":"2026-07-05T02:58:41.781265Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:58:41.781265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LSSAV4pChuTN/G5kSJBysOM1/bA0Q1jo3lvpFg1kK+4UyOCfCsQIA9eybGobDW3Dep5nqkJjRnJra4ARLGetDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:58:41.781671Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.00858","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff4fee0e240b96204df49dac38a4b0b83f49d2562c026de53b55e3894bd61053","sha256:d071e7e80f92b4c079df517751fc641cb09ba0acfbe8c54a857274778b233bf5"],"state_sha256":"bb8b97144e83c0e18e925e196f1025e71f456e597f93aa61421e7d30049566fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pQBuNPl0HQvpxSoJKQuZpriyzpVZ2QPAoO3grAU5KJH3+SL9QK+AsUiEVM96kw02ONLQZW7NJXnMATjMomp2Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T23:42:29.819422Z","bundle_sha256":"669f4401bb235f3c0cf6e5814d3e6ffee1f92f1ed2e8d0c50d920d7bd1445333"}}