{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PKEPMIZ7EAONGOK2PZBYN43WCZ","short_pith_number":"pith:PKEPMIZ7","canonical_record":{"source":{"id":"2210.15370","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-27T12:28:45Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.MM","eess.AS"],"title_canon_sha256":"efea1ee9fadcaddd72e81a8afca3c5cd1c4eaaa5dc31d4d7001c4cc33979ee75","abstract_canon_sha256":"658113496704404b34abf70a4db4d65198739e218835abb22b65986e7e2f7c47"},"schema_version":"1.0"},"canonical_sha256":"7a88f6233f201cd3395a7e4386f376167df95f032f019834f3f19e7e9ea9675b","source":{"kind":"arxiv","id":"2210.15370","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15370","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15370v1","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15370","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"PKEPMIZ7EAON","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"PKEPMIZ7EAONGOK2","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"PKEPMIZ7","created_at":"2026-07-05T05:11:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PKEPMIZ7EAONGOK2PZBYN43WCZ","target":"record","payload":{"canonical_record":{"source":{"id":"2210.15370","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-27T12:28:45Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.MM","eess.AS"],"title_canon_sha256":"efea1ee9fadcaddd72e81a8afca3c5cd1c4eaaa5dc31d4d7001c4cc33979ee75","abstract_canon_sha256":"658113496704404b34abf70a4db4d65198739e218835abb22b65986e7e2f7c47"},"schema_version":"1.0"},"canonical_sha256":"7a88f6233f201cd3395a7e4386f376167df95f032f019834f3f19e7e9ea9675b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:05.508477Z","signature_b64":"ZfrmAgUFyuIZUcYlpdIqn9H/1EafEWk7/myzoFPTDdhsqeik/qH8ukp9wAR46Xhtq6/beHFS0oh+Cf4NOJ3zDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a88f6233f201cd3395a7e4386f376167df95f032f019834f3f19e7e9ea9675b","last_reissued_at":"2026-07-05T05:11:05.508043Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:05.508043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.15370","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":"2026-07-05T05:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HTGmgTKYN0Q9kC6DUcMWndZLI5RPmTKGSg5f3PrRvoxnhjWx2XigEMK/ZTjyssyLzBF+vuiSEUm3mPVb6In0Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:16:52.876126Z"},"content_sha256":"6dd6c993e7e440336958ef56839395615ccd6a77e90238454cea7e5f62563889","schema_version":"1.0","event_id":"sha256:6dd6c993e7e440336958ef56839395615ccd6a77e90238454cea7e5f62563889"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PKEPMIZ7EAONGOK2PZBYN43WCZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CasNet: Investigating Channel Robustness for Speech Separation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG","cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Fan-Lin Wang, Hsin-Min Wang, Hung-Shin Lee, Yao-Fei Cheng, Yu Tsao","submitted_at":"2022-10-27T12:28:45Z","abstract_excerpt":"Recording channel mismatch between training and testing conditions has been shown to be a serious problem for speech separation. This situation greatly reduces the separation performance, and cannot meet the requirement of daily use. In this study, inheriting the use of our previously constructed TAT-2mix corpus, we address the channel mismatch problem by proposing a channel-aware audio separation network (CasNet), a deep learning framework for end-to-end time-domain speech separation. CasNet is implemented on top of TasNet. Channel embedding (characterizing channel information in a mixture of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15370","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/2210.15370/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":"2026-07-05T05:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RqtrWXcrIrL6YbfN/arkWldBrBnuGS+autIFzBXWsaERtvVaEi/1r7oFK2HtQyWoBCy7IR8aKKbBpDEGbLvNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:16:52.876635Z"},"content_sha256":"9d1749c3b26171dcafbf93b4a8820a0396d9a1de6749b7665104f2436c70cc97","schema_version":"1.0","event_id":"sha256:9d1749c3b26171dcafbf93b4a8820a0396d9a1de6749b7665104f2436c70cc97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PKEPMIZ7EAONGOK2PZBYN43WCZ/bundle.json","state_url":"https://pith.science/pith/PKEPMIZ7EAONGOK2PZBYN43WCZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PKEPMIZ7EAONGOK2PZBYN43WCZ/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":"2026-08-24T02:16:52Z","links":{"resolver":"https://pith.science/pith/PKEPMIZ7EAONGOK2PZBYN43WCZ","bundle":"https://pith.science/pith/PKEPMIZ7EAONGOK2PZBYN43WCZ/bundle.json","state":"https://pith.science/pith/PKEPMIZ7EAONGOK2PZBYN43WCZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PKEPMIZ7EAONGOK2PZBYN43WCZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PKEPMIZ7EAONGOK2PZBYN43WCZ","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":"658113496704404b34abf70a4db4d65198739e218835abb22b65986e7e2f7c47","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.MM","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-27T12:28:45Z","title_canon_sha256":"efea1ee9fadcaddd72e81a8afca3c5cd1c4eaaa5dc31d4d7001c4cc33979ee75"},"schema_version":"1.0","source":{"id":"2210.15370","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15370","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15370v1","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15370","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"PKEPMIZ7EAON","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"PKEPMIZ7EAONGOK2","created_at":"2026-07-05T05:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"PKEPMIZ7","created_at":"2026-07-05T05:11:05Z"}],"graph_snapshots":[{"event_id":"sha256:9d1749c3b26171dcafbf93b4a8820a0396d9a1de6749b7665104f2436c70cc97","target":"graph","created_at":"2026-07-05T05:11:05Z","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/2210.15370/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recording channel mismatch between training and testing conditions has been shown to be a serious problem for speech separation. This situation greatly reduces the separation performance, and cannot meet the requirement of daily use. In this study, inheriting the use of our previously constructed TAT-2mix corpus, we address the channel mismatch problem by proposing a channel-aware audio separation network (CasNet), a deep learning framework for end-to-end time-domain speech separation. CasNet is implemented on top of TasNet. Channel embedding (characterizing channel information in a mixture of","authors_text":"Fan-Lin Wang, Hsin-Min Wang, Hung-Shin Lee, Yao-Fei Cheng, Yu Tsao","cross_cats":["cs.AI","cs.CL","cs.LG","cs.MM","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-27T12:28:45Z","title":"CasNet: Investigating Channel Robustness for Speech Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15370","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":"sha256:6dd6c993e7e440336958ef56839395615ccd6a77e90238454cea7e5f62563889","target":"record","created_at":"2026-07-05T05:11:05Z","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":"658113496704404b34abf70a4db4d65198739e218835abb22b65986e7e2f7c47","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.MM","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-10-27T12:28:45Z","title_canon_sha256":"efea1ee9fadcaddd72e81a8afca3c5cd1c4eaaa5dc31d4d7001c4cc33979ee75"},"schema_version":"1.0","source":{"id":"2210.15370","kind":"arxiv","version":1}},"canonical_sha256":"7a88f6233f201cd3395a7e4386f376167df95f032f019834f3f19e7e9ea9675b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a88f6233f201cd3395a7e4386f376167df95f032f019834f3f19e7e9ea9675b","first_computed_at":"2026-07-05T05:11:05.508043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:11:05.508043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZfrmAgUFyuIZUcYlpdIqn9H/1EafEWk7/myzoFPTDdhsqeik/qH8ukp9wAR46Xhtq6/beHFS0oh+Cf4NOJ3zDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:11:05.508477Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.15370","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6dd6c993e7e440336958ef56839395615ccd6a77e90238454cea7e5f62563889","sha256:9d1749c3b26171dcafbf93b4a8820a0396d9a1de6749b7665104f2436c70cc97"],"state_sha256":"b4844d9f6101dbfda0723a534f330eadc38e6116df9208334638b09423c70ddc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kU0FeRrIiKahDDc1vx6qsKre7ttgDrbw8qTGMEmjY+X3ghIzEZXmkIgDFcgBPHEOyci6MZs0FH0re+gPi8MzCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T02:16:52.880525Z","bundle_sha256":"0a6514e4c2600ec19a53595eb7451de20eb271ea720dce267a7187023ade45fb"}}