{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:43GA6MNJA5JSTLTUOXMCBWYZDO","short_pith_number":"pith:43GA6MNJ","canonical_record":{"source":{"id":"1811.02062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-05T22:21:51Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"b16fc9ffb6bfd5bc58e0cd0777acceacdebb76ad362a3ebcdcbf1d6ad5dfabb1","abstract_canon_sha256":"dde46ffb67a93e5c5f152f3dfee32ce04a1df937f1d9dbcc7d17fbcccc1944e7"},"schema_version":"1.0"},"canonical_sha256":"e6cc0f31a9075329ae7475d820db191ba7deceef73bdfec4405f3c8b514bab50","source":{"kind":"arxiv","id":"1811.02062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.02062","created_at":"2026-05-18T00:01:25Z"},{"alias_kind":"arxiv_version","alias_value":"1811.02062v1","created_at":"2026-05-18T00:01:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02062","created_at":"2026-05-18T00:01:25Z"},{"alias_kind":"pith_short_12","alias_value":"43GA6MNJA5JS","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"43GA6MNJA5JSTLTU","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"43GA6MNJ","created_at":"2026-05-18T12:32:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:43GA6MNJA5JSTLTUOXMCBWYZDO","target":"record","payload":{"canonical_record":{"source":{"id":"1811.02062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-05T22:21:51Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"b16fc9ffb6bfd5bc58e0cd0777acceacdebb76ad362a3ebcdcbf1d6ad5dfabb1","abstract_canon_sha256":"dde46ffb67a93e5c5f152f3dfee32ce04a1df937f1d9dbcc7d17fbcccc1944e7"},"schema_version":"1.0"},"canonical_sha256":"e6cc0f31a9075329ae7475d820db191ba7deceef73bdfec4405f3c8b514bab50","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:25.122525Z","signature_b64":"X+nWVmvhKYHcMWGNy6u10uCTJLCyOQfpcbNGSAS0w/Cq2fWIlGABbhpITCcv4Hu8YffvpbJNWlZORjp8Qy2WCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6cc0f31a9075329ae7475d820db191ba7deceef73bdfec4405f3c8b514bab50","last_reissued_at":"2026-05-18T00:01:25.122136Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:25.122136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.02062","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":"2026-05-18T00:01:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mKUgfgaPCy4sJ8PlGFfy9v1pPK8FK7U/b+Di0aOOMFcEPFNKW+w/vOjm1SYa+luhpBTB4bVQOnz58L7kIMdRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T02:11:11.252464Z"},"content_sha256":"eb95898bb9301b9974978515782f3ab8463f085d4572cef6f095ff2ab658a76a","schema_version":"1.0","event_id":"sha256:eb95898bb9301b9974978515782f3ab8463f085d4572cef6f095ff2ab658a76a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:43GA6MNJA5JSTLTUOXMCBWYZDO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-End Monaural Multi-speaker ASR System without Pretraining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Kai Yu, Shinji Watanabe, Xuankai Chang, Yanmin Qian","submitted_at":"2018-11-05T22:21:51Z","abstract_excerpt":"Recently, end-to-end models have become a popular approach as an alternative to traditional hybrid models in automatic speech recognition (ASR). The multi-speaker speech separation and recognition task is a central task in cocktail party problem. In this paper, we present a state-of-the-art monaural multi-speaker end-to-end automatic speech recognition model. In contrast to previous studies on the monaural multi-speaker speech recognition, this end-to-end framework is trained to recognize multiple label sequences completely from scratch. The system only requires the speech mixture and correspo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02062","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":""},"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":"2026-05-18T00:01:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NBp+1qvoo6rsdxzYklgnAmqDc0Tlaly+rSfRRU/3T4WFXd4DFMSFwiuSUNsXUXIezRJgA4M2n3p53iqrvihIBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T02:11:11.252815Z"},"content_sha256":"3404b235dff2b22e55711bbb1b91674c00476896eb98bc11a0544614f94dbfa9","schema_version":"1.0","event_id":"sha256:3404b235dff2b22e55711bbb1b91674c00476896eb98bc11a0544614f94dbfa9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/43GA6MNJA5JSTLTUOXMCBWYZDO/bundle.json","state_url":"https://pith.science/pith/43GA6MNJA5JSTLTUOXMCBWYZDO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/43GA6MNJA5JSTLTUOXMCBWYZDO/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":"2026-05-27T02:11:11Z","links":{"resolver":"https://pith.science/pith/43GA6MNJA5JSTLTUOXMCBWYZDO","bundle":"https://pith.science/pith/43GA6MNJA5JSTLTUOXMCBWYZDO/bundle.json","state":"https://pith.science/pith/43GA6MNJA5JSTLTUOXMCBWYZDO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/43GA6MNJA5JSTLTUOXMCBWYZDO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:43GA6MNJA5JSTLTUOXMCBWYZDO","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":"dde46ffb67a93e5c5f152f3dfee32ce04a1df937f1d9dbcc7d17fbcccc1944e7","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-05T22:21:51Z","title_canon_sha256":"b16fc9ffb6bfd5bc58e0cd0777acceacdebb76ad362a3ebcdcbf1d6ad5dfabb1"},"schema_version":"1.0","source":{"id":"1811.02062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.02062","created_at":"2026-05-18T00:01:25Z"},{"alias_kind":"arxiv_version","alias_value":"1811.02062v1","created_at":"2026-05-18T00:01:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02062","created_at":"2026-05-18T00:01:25Z"},{"alias_kind":"pith_short_12","alias_value":"43GA6MNJA5JS","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"43GA6MNJA5JSTLTU","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"43GA6MNJ","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:3404b235dff2b22e55711bbb1b91674c00476896eb98bc11a0544614f94dbfa9","target":"graph","created_at":"2026-05-18T00:01:25Z","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"},"paper":{"abstract_excerpt":"Recently, end-to-end models have become a popular approach as an alternative to traditional hybrid models in automatic speech recognition (ASR). The multi-speaker speech separation and recognition task is a central task in cocktail party problem. In this paper, we present a state-of-the-art monaural multi-speaker end-to-end automatic speech recognition model. In contrast to previous studies on the monaural multi-speaker speech recognition, this end-to-end framework is trained to recognize multiple label sequences completely from scratch. The system only requires the speech mixture and correspo","authors_text":"Kai Yu, Shinji Watanabe, Xuankai Chang, Yanmin Qian","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-05T22:21:51Z","title":"End-to-End Monaural Multi-speaker ASR System without Pretraining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02062","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:eb95898bb9301b9974978515782f3ab8463f085d4572cef6f095ff2ab658a76a","target":"record","created_at":"2026-05-18T00:01:25Z","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":"dde46ffb67a93e5c5f152f3dfee32ce04a1df937f1d9dbcc7d17fbcccc1944e7","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-05T22:21:51Z","title_canon_sha256":"b16fc9ffb6bfd5bc58e0cd0777acceacdebb76ad362a3ebcdcbf1d6ad5dfabb1"},"schema_version":"1.0","source":{"id":"1811.02062","kind":"arxiv","version":1}},"canonical_sha256":"e6cc0f31a9075329ae7475d820db191ba7deceef73bdfec4405f3c8b514bab50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6cc0f31a9075329ae7475d820db191ba7deceef73bdfec4405f3c8b514bab50","first_computed_at":"2026-05-18T00:01:25.122136Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:25.122136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X+nWVmvhKYHcMWGNy6u10uCTJLCyOQfpcbNGSAS0w/Cq2fWIlGABbhpITCcv4Hu8YffvpbJNWlZORjp8Qy2WCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:25.122525Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.02062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb95898bb9301b9974978515782f3ab8463f085d4572cef6f095ff2ab658a76a","sha256:3404b235dff2b22e55711bbb1b91674c00476896eb98bc11a0544614f94dbfa9"],"state_sha256":"67bb53f7ae02cd80dc8a0888faae7ee0e6626b35551ea4d928edc1a8add6e049"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iHAyzIFESmVmeZtr3N8I7nLHxGptPTUHFd0kayYCAZyZxOdrmS0ZPaWnX/vWwYV0T95DqIO+FO6zqaQAg9mjDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T02:11:11.255004Z","bundle_sha256":"e12b7b80efb973cf3a45e2b6b99a3e69d6675602862bf6b6bef314401f303283"}}