{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:OC66N2CF3Y6GH67YZAX3OBJ3QJ","short_pith_number":"pith:OC66N2CF","canonical_record":{"source":{"id":"2111.14706","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-29T17:05:49Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"a777b4f46de1bf09b2cd7834c2e4badc56eef6089d47f1c250b071fc7d3a65bf","abstract_canon_sha256":"6892a2bdd002d83c79acb792823f210c11d99aed044f1bd68a97bb6ba59d4f32"},"schema_version":"1.0"},"canonical_sha256":"70bde6e845de3c63fbf8c82fb7053b827afffd2fda3bc5b87124c7f3fdc6cf83","source":{"kind":"arxiv","id":"2111.14706","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.14706","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"arxiv_version","alias_value":"2111.14706v2","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.14706","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"pith_short_12","alias_value":"OC66N2CF3Y6G","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"pith_short_16","alias_value":"OC66N2CF3Y6GH67Y","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"pith_short_8","alias_value":"OC66N2CF","created_at":"2026-07-05T04:01:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:OC66N2CF3Y6GH67YZAX3OBJ3QJ","target":"record","payload":{"canonical_record":{"source":{"id":"2111.14706","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-29T17:05:49Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"a777b4f46de1bf09b2cd7834c2e4badc56eef6089d47f1c250b071fc7d3a65bf","abstract_canon_sha256":"6892a2bdd002d83c79acb792823f210c11d99aed044f1bd68a97bb6ba59d4f32"},"schema_version":"1.0"},"canonical_sha256":"70bde6e845de3c63fbf8c82fb7053b827afffd2fda3bc5b87124c7f3fdc6cf83","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:01:44.851273Z","signature_b64":"232eeCChyMirOJdZt0tMMjl7lMxtH35usOoftrpxAr299BrZfr7KobRaHADfhfDEUJH2boNMGzV2jRTUdb/lDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70bde6e845de3c63fbf8c82fb7053b827afffd2fda3bc5b87124c7f3fdc6cf83","last_reissued_at":"2026-07-05T04:01:44.850780Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:01:44.850780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.14706","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":"2026-07-05T04:01:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ndfYoxvpJGL2zzX4tDkLYR76g0gIttSYSZMG/5MkqsTwgIazp46ydwD2QzjvwPJ1y+a2Ju3zJBSlEropLkxUCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T09:46:22.316289Z"},"content_sha256":"a6ca025835ccef4abbe3b267aa55ac7cbebafdcf1cb8ce42195cc0aa32588eca","schema_version":"1.0","event_id":"sha256:a6ca025835ccef4abbe3b267aa55ac7cbebafdcf1cb8ce42195cc0aa32588eca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:OC66N2CF3Y6GH67YZAX3OBJ3QJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Alan W Black, Brian Yan, Karthik Ganesan, Ngoc Thang Vu, Pavel Denisov, Shinji Watanabe, Siddhant Arora, Siddharth Dalmia, Sujay Kumar, Xuankai Chang, Yifan Peng, Yuekai Zhang, Yushi Ueda","submitted_at":"2021-11-29T17:05:49Z","abstract_excerpt":"As Automatic Speech Processing (ASR) systems are getting better, there is an increasing interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. However, there are few open source toolkits that can be used to generate reproducible results on different Spoken Language Understanding (SLU) benchmarks. Hence, there is a need to build an open source standard that can be used to have a faster start into SLU research. We present ESPnet-SLU, which is designed for quick development of spoken language understanding in a single framework. ESPnet-SLU is a project inside e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.14706","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/2111.14706/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":"2026-07-05T04:01:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QXGT+dvkSxMshjHHi5mKp9ecKaPCM7Ke9SBf+/fXvIz7Pn7rzbU0qqT6+sVbSouQYKxvUO+0AUgstR8ovuQhDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T09:46:22.316687Z"},"content_sha256":"0d08f8cb74ec0435e8d43d5cbb3f0d7fabf6b70f02d68eba37310728df2141dd","schema_version":"1.0","event_id":"sha256:0d08f8cb74ec0435e8d43d5cbb3f0d7fabf6b70f02d68eba37310728df2141dd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OC66N2CF3Y6GH67YZAX3OBJ3QJ/bundle.json","state_url":"https://pith.science/pith/OC66N2CF3Y6GH67YZAX3OBJ3QJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OC66N2CF3Y6GH67YZAX3OBJ3QJ/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":"2026-07-20T09:46:22Z","links":{"resolver":"https://pith.science/pith/OC66N2CF3Y6GH67YZAX3OBJ3QJ","bundle":"https://pith.science/pith/OC66N2CF3Y6GH67YZAX3OBJ3QJ/bundle.json","state":"https://pith.science/pith/OC66N2CF3Y6GH67YZAX3OBJ3QJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OC66N2CF3Y6GH67YZAX3OBJ3QJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:OC66N2CF3Y6GH67YZAX3OBJ3QJ","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":"6892a2bdd002d83c79acb792823f210c11d99aed044f1bd68a97bb6ba59d4f32","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-29T17:05:49Z","title_canon_sha256":"a777b4f46de1bf09b2cd7834c2e4badc56eef6089d47f1c250b071fc7d3a65bf"},"schema_version":"1.0","source":{"id":"2111.14706","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.14706","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"arxiv_version","alias_value":"2111.14706v2","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.14706","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"pith_short_12","alias_value":"OC66N2CF3Y6G","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"pith_short_16","alias_value":"OC66N2CF3Y6GH67Y","created_at":"2026-07-05T04:01:44Z"},{"alias_kind":"pith_short_8","alias_value":"OC66N2CF","created_at":"2026-07-05T04:01:44Z"}],"graph_snapshots":[{"event_id":"sha256:0d08f8cb74ec0435e8d43d5cbb3f0d7fabf6b70f02d68eba37310728df2141dd","target":"graph","created_at":"2026-07-05T04:01:44Z","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/2111.14706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Automatic Speech Processing (ASR) systems are getting better, there is an increasing interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. However, there are few open source toolkits that can be used to generate reproducible results on different Spoken Language Understanding (SLU) benchmarks. Hence, there is a need to build an open source standard that can be used to have a faster start into SLU research. We present ESPnet-SLU, which is designed for quick development of spoken language understanding in a single framework. ESPnet-SLU is a project inside e","authors_text":"Alan W Black, Brian Yan, Karthik Ganesan, Ngoc Thang Vu, Pavel Denisov, Shinji Watanabe, Siddhant Arora, Siddharth Dalmia, Sujay Kumar, Xuankai Chang, Yifan Peng, Yuekai Zhang, Yushi Ueda","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-29T17:05:49Z","title":"ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.14706","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:a6ca025835ccef4abbe3b267aa55ac7cbebafdcf1cb8ce42195cc0aa32588eca","target":"record","created_at":"2026-07-05T04:01:44Z","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":"6892a2bdd002d83c79acb792823f210c11d99aed044f1bd68a97bb6ba59d4f32","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-29T17:05:49Z","title_canon_sha256":"a777b4f46de1bf09b2cd7834c2e4badc56eef6089d47f1c250b071fc7d3a65bf"},"schema_version":"1.0","source":{"id":"2111.14706","kind":"arxiv","version":2}},"canonical_sha256":"70bde6e845de3c63fbf8c82fb7053b827afffd2fda3bc5b87124c7f3fdc6cf83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70bde6e845de3c63fbf8c82fb7053b827afffd2fda3bc5b87124c7f3fdc6cf83","first_computed_at":"2026-07-05T04:01:44.850780Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:01:44.850780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"232eeCChyMirOJdZt0tMMjl7lMxtH35usOoftrpxAr299BrZfr7KobRaHADfhfDEUJH2boNMGzV2jRTUdb/lDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:01:44.851273Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.14706","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6ca025835ccef4abbe3b267aa55ac7cbebafdcf1cb8ce42195cc0aa32588eca","sha256:0d08f8cb74ec0435e8d43d5cbb3f0d7fabf6b70f02d68eba37310728df2141dd"],"state_sha256":"a100b2812395c31e9b3348e70786f307e92a7f3409f655b67dc6c751471f38fa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yn47YHkYfT1wnm235bCyaatR4PnijYSZsf/S3SJ0iPNTwkJsWhyAF23PN/mq5JgRi6uTjJAwkP5KFKaUUjb5DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-20T09:46:22.319222Z","bundle_sha256":"422cebb0cfaea22db2babe48554ff5e0a8e54d2816542a4516e94b96cebbaac0"}}