{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FRJOQFD5VRGINJPTZ6PGXW3Q2W","short_pith_number":"pith:FRJOQFD5","canonical_record":{"source":{"id":"2211.12433","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-11-22T17:43:12Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"991cf01f8a683af6533d8a2b50bc5d92a64c3034cb3a5dbbe52fd7a26d7d26e2","abstract_canon_sha256":"4c38c824c3beba54c8460439127f25b15b1a5d16283dbe567b167fec02b1edad"},"schema_version":"1.0"},"canonical_sha256":"2c52e8147dac4c86a5f3cf9e6bdb70d5bcd103cc196c7e7752479e69d4037d1c","source":{"kind":"arxiv","id":"2211.12433","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.12433","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"arxiv_version","alias_value":"2211.12433v2","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.12433","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"pith_short_12","alias_value":"FRJOQFD5VRGI","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"pith_short_16","alias_value":"FRJOQFD5VRGINJPT","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"pith_short_8","alias_value":"FRJOQFD5","created_at":"2026-07-05T06:37:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FRJOQFD5VRGINJPTZ6PGXW3Q2W","target":"record","payload":{"canonical_record":{"source":{"id":"2211.12433","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-11-22T17:43:12Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"991cf01f8a683af6533d8a2b50bc5d92a64c3034cb3a5dbbe52fd7a26d7d26e2","abstract_canon_sha256":"4c38c824c3beba54c8460439127f25b15b1a5d16283dbe567b167fec02b1edad"},"schema_version":"1.0"},"canonical_sha256":"2c52e8147dac4c86a5f3cf9e6bdb70d5bcd103cc196c7e7752479e69d4037d1c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:37:42.858695Z","signature_b64":"Xmnk+KYB6oISmHdvXRu4IEsJBbKtUuDbUPzMaKpEwRDq3OY4Yy0EKLMf90O1erU+O+a9hkUiB2WwZi3o/o/XAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c52e8147dac4c86a5f3cf9e6bdb70d5bcd103cc196c7e7752479e69d4037d1c","last_reissued_at":"2026-07-05T06:37:42.858219Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:37:42.858219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.12433","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":"2026-07-05T06:37:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CCGt2sX7mekUqe8iYwlKW9jG7X0hsMbXQomIbCQNtQc9ntG+DwQxi9+yJRlMfyE+Ht+qi7ZicIOaWACCBfbyBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:34:39.689646Z"},"content_sha256":"a3f64853c8bff46824d8c38965ffe05416ec877f784e331bb9c8e955852009d5","schema_version":"1.0","event_id":"sha256:a3f64853c8bff46824d8c38965ffe05416ec877f784e331bb9c8e955852009d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FRJOQFD5VRGINJPTZ6PGXW3Q2W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Byeong-Yeol Kim, Samuele Cornell, Shinji Watanabe, Shukjae Choi, Younglo Lee, Zhong-Qiu Wang","submitted_at":"2022-11-22T17:43:12Z","abstract_excerpt":"We propose TF-GridNet for speech separation. The model is a novel deep neural network (DNN) integrating full- and sub-band modeling in the time-frequency (T-F) domain. It stacks several blocks, each consisting of an intra-frame full-band module, a sub-band temporal module, and a cross-frame self-attention module. It is trained to perform complex spectral mapping, where the real and imaginary (RI) components of input signals are stacked as features to predict target RI components. We first evaluate it on monaural anechoic speaker separation. Without using data augmentation and dynamic mixing, i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.12433","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/2211.12433/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":"2026-07-05T06:37:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cqIT6e1p4Qnqwi9KpiaoS9NKgYHv92BVc24H72N8gD+8fhNF/njd0VOgqN50xwYEIzDNIRGAL82jsRAVhhbvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:34:39.690167Z"},"content_sha256":"93d401409444165c3c3e14827ae59f4518db0d4bcec1c1198a5db00fc3f03a29","schema_version":"1.0","event_id":"sha256:93d401409444165c3c3e14827ae59f4518db0d4bcec1c1198a5db00fc3f03a29"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FRJOQFD5VRGINJPTZ6PGXW3Q2W/bundle.json","state_url":"https://pith.science/pith/FRJOQFD5VRGINJPTZ6PGXW3Q2W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FRJOQFD5VRGINJPTZ6PGXW3Q2W/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":"2026-08-04T03:34:39Z","links":{"resolver":"https://pith.science/pith/FRJOQFD5VRGINJPTZ6PGXW3Q2W","bundle":"https://pith.science/pith/FRJOQFD5VRGINJPTZ6PGXW3Q2W/bundle.json","state":"https://pith.science/pith/FRJOQFD5VRGINJPTZ6PGXW3Q2W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FRJOQFD5VRGINJPTZ6PGXW3Q2W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FRJOQFD5VRGINJPTZ6PGXW3Q2W","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":"4c38c824c3beba54c8460439127f25b15b1a5d16283dbe567b167fec02b1edad","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-11-22T17:43:12Z","title_canon_sha256":"991cf01f8a683af6533d8a2b50bc5d92a64c3034cb3a5dbbe52fd7a26d7d26e2"},"schema_version":"1.0","source":{"id":"2211.12433","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.12433","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"arxiv_version","alias_value":"2211.12433v2","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.12433","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"pith_short_12","alias_value":"FRJOQFD5VRGI","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"pith_short_16","alias_value":"FRJOQFD5VRGINJPT","created_at":"2026-07-05T06:37:42Z"},{"alias_kind":"pith_short_8","alias_value":"FRJOQFD5","created_at":"2026-07-05T06:37:42Z"}],"graph_snapshots":[{"event_id":"sha256:93d401409444165c3c3e14827ae59f4518db0d4bcec1c1198a5db00fc3f03a29","target":"graph","created_at":"2026-07-05T06:37:42Z","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/2211.12433/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose TF-GridNet for speech separation. The model is a novel deep neural network (DNN) integrating full- and sub-band modeling in the time-frequency (T-F) domain. It stacks several blocks, each consisting of an intra-frame full-band module, a sub-band temporal module, and a cross-frame self-attention module. It is trained to perform complex spectral mapping, where the real and imaginary (RI) components of input signals are stacked as features to predict target RI components. We first evaluate it on monaural anechoic speaker separation. Without using data augmentation and dynamic mixing, i","authors_text":"Byeong-Yeol Kim, Samuele Cornell, Shinji Watanabe, Shukjae Choi, Younglo Lee, Zhong-Qiu Wang","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-11-22T17:43:12Z","title":"TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.12433","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:a3f64853c8bff46824d8c38965ffe05416ec877f784e331bb9c8e955852009d5","target":"record","created_at":"2026-07-05T06:37:42Z","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":"4c38c824c3beba54c8460439127f25b15b1a5d16283dbe567b167fec02b1edad","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-11-22T17:43:12Z","title_canon_sha256":"991cf01f8a683af6533d8a2b50bc5d92a64c3034cb3a5dbbe52fd7a26d7d26e2"},"schema_version":"1.0","source":{"id":"2211.12433","kind":"arxiv","version":2}},"canonical_sha256":"2c52e8147dac4c86a5f3cf9e6bdb70d5bcd103cc196c7e7752479e69d4037d1c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c52e8147dac4c86a5f3cf9e6bdb70d5bcd103cc196c7e7752479e69d4037d1c","first_computed_at":"2026-07-05T06:37:42.858219Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:37:42.858219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xmnk+KYB6oISmHdvXRu4IEsJBbKtUuDbUPzMaKpEwRDq3OY4Yy0EKLMf90O1erU+O+a9hkUiB2WwZi3o/o/XAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:37:42.858695Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.12433","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3f64853c8bff46824d8c38965ffe05416ec877f784e331bb9c8e955852009d5","sha256:93d401409444165c3c3e14827ae59f4518db0d4bcec1c1198a5db00fc3f03a29"],"state_sha256":"54a14d9ec51a9146716b9211b97d607f4ccd7494032689e367a51e125be1fd35"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"toks05/gweA43Qv+yX5td2W/I2Qv0KNfihBQRIj6XB58CPQKlEWzXtFknor0eXcOsvktpD1DdQ07kmoBL+1/BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T03:34:39.695096Z","bundle_sha256":"0ef9c48acb5d74f969b8aa68b3f5c53ef1e3739d73662c5688e56305a0aa8628"}}