{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KRM4EXRC6SLQYOVNGBGYBJWT4Q","short_pith_number":"pith:KRM4EXRC","canonical_record":{"source":{"id":"2110.04791","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-10-10T13:21:16Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"42b42184c5460397eac73e6319de93f8d5682fe9d36a6672cc7115efde854a7f","abstract_canon_sha256":"9ae5add34caf31d820811d76a10ddfc2956d548d24478c62e2f19661544cbbda"},"schema_version":"1.0"},"canonical_sha256":"5459c25e22f4970c3aad304d80a6d3e4242753b49c8cb7ee9b38a2ea951856e0","source":{"kind":"arxiv","id":"2110.04791","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.04791","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"2110.04791v2","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.04791","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"KRM4EXRC6SLQ","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"pith_short_16","alias_value":"KRM4EXRC6SLQYOVN","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"pith_short_8","alias_value":"KRM4EXRC","created_at":"2026-07-05T03:52:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KRM4EXRC6SLQYOVNGBGYBJWT4Q","target":"record","payload":{"canonical_record":{"source":{"id":"2110.04791","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-10-10T13:21:16Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"42b42184c5460397eac73e6319de93f8d5682fe9d36a6672cc7115efde854a7f","abstract_canon_sha256":"9ae5add34caf31d820811d76a10ddfc2956d548d24478c62e2f19661544cbbda"},"schema_version":"1.0"},"canonical_sha256":"5459c25e22f4970c3aad304d80a6d3e4242753b49c8cb7ee9b38a2ea951856e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:52:31.741795Z","signature_b64":"NGVYSFevWtFSzCdbAy4kkpInhEnx8SJM4fOpR1vFtVXAMRrCDWgo6Nj77xjh7Gp4Atx+AP5fTZt/aNNVrBp8DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5459c25e22f4970c3aad304d80a6d3e4242753b49c8cb7ee9b38a2ea951856e0","last_reissued_at":"2026-07-05T03:52:31.741296Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:52:31.741296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.04791","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":"2026-07-05T03:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"etZlBJiRj5h7hK8i7ISYZR8zfRgJz0zTsnGxyTLmHTlWG8nTYp/cYz0YWjjOjRvYGWlOCZrTSdXKI0aASneCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:36:15.335949Z"},"content_sha256":"6c9bdbea4fba5cde97ac13e6fb275418210401c863c0e598681eaf855a640403","schema_version":"1.0","event_id":"sha256:6c9bdbea4fba5cde97ac13e6fb275418210401c863c0e598681eaf855a640403"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KRM4EXRC6SLQYOVNGBGYBJWT4Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"David Zhang, Fanglin Chen, Guangming Lu, Wenjie Pei, Zengwei Yao","submitted_at":"2021-10-10T13:21:16Z","abstract_excerpt":"The crux of single-channel speech separation is how to encode the mixture of signals into such a latent embedding space that the signals from different speakers can be precisely separated. Existing methods for speech separation either transform the speech signals into frequency domain to perform separation or seek to learn a separable embedding space by constructing a latent domain based on convolutional filters. While the latter type of methods learning an embedding space achieves substantial improvement for speech separation, we argue that the embedding space defined by only one latent domai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.04791","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/2110.04791/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":"2026-07-05T03:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nJRD1in39K2JSYqa4VWLiGoEnGQ04KwJaR8y1c7cJ6mgQLhZceGx/f/spYM3EzpOPRs67HlOrchfHPrRszuABg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:36:15.336895Z"},"content_sha256":"9d5abebc91aeb2c577934d1744a656b621121c5d8889599bcc674d3cca0c0755","schema_version":"1.0","event_id":"sha256:9d5abebc91aeb2c577934d1744a656b621121c5d8889599bcc674d3cca0c0755"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KRM4EXRC6SLQYOVNGBGYBJWT4Q/bundle.json","state_url":"https://pith.science/pith/KRM4EXRC6SLQYOVNGBGYBJWT4Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KRM4EXRC6SLQYOVNGBGYBJWT4Q/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":"2026-08-03T17:36:15Z","links":{"resolver":"https://pith.science/pith/KRM4EXRC6SLQYOVNGBGYBJWT4Q","bundle":"https://pith.science/pith/KRM4EXRC6SLQYOVNGBGYBJWT4Q/bundle.json","state":"https://pith.science/pith/KRM4EXRC6SLQYOVNGBGYBJWT4Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KRM4EXRC6SLQYOVNGBGYBJWT4Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KRM4EXRC6SLQYOVNGBGYBJWT4Q","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":"9ae5add34caf31d820811d76a10ddfc2956d548d24478c62e2f19661544cbbda","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-10-10T13:21:16Z","title_canon_sha256":"42b42184c5460397eac73e6319de93f8d5682fe9d36a6672cc7115efde854a7f"},"schema_version":"1.0","source":{"id":"2110.04791","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.04791","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"2110.04791v2","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.04791","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"KRM4EXRC6SLQ","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"pith_short_16","alias_value":"KRM4EXRC6SLQYOVN","created_at":"2026-07-05T03:52:31Z"},{"alias_kind":"pith_short_8","alias_value":"KRM4EXRC","created_at":"2026-07-05T03:52:31Z"}],"graph_snapshots":[{"event_id":"sha256:9d5abebc91aeb2c577934d1744a656b621121c5d8889599bcc674d3cca0c0755","target":"graph","created_at":"2026-07-05T03:52:31Z","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/2110.04791/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The crux of single-channel speech separation is how to encode the mixture of signals into such a latent embedding space that the signals from different speakers can be precisely separated. Existing methods for speech separation either transform the speech signals into frequency domain to perform separation or seek to learn a separable embedding space by constructing a latent domain based on convolutional filters. While the latter type of methods learning an embedding space achieves substantial improvement for speech separation, we argue that the embedding space defined by only one latent domai","authors_text":"David Zhang, Fanglin Chen, Guangming Lu, Wenjie Pei, Zengwei Yao","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-10-10T13:21:16Z","title":"Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.04791","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":"sha256:6c9bdbea4fba5cde97ac13e6fb275418210401c863c0e598681eaf855a640403","target":"record","created_at":"2026-07-05T03:52:31Z","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":"9ae5add34caf31d820811d76a10ddfc2956d548d24478c62e2f19661544cbbda","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-10-10T13:21:16Z","title_canon_sha256":"42b42184c5460397eac73e6319de93f8d5682fe9d36a6672cc7115efde854a7f"},"schema_version":"1.0","source":{"id":"2110.04791","kind":"arxiv","version":2}},"canonical_sha256":"5459c25e22f4970c3aad304d80a6d3e4242753b49c8cb7ee9b38a2ea951856e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5459c25e22f4970c3aad304d80a6d3e4242753b49c8cb7ee9b38a2ea951856e0","first_computed_at":"2026-07-05T03:52:31.741296Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:52:31.741296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NGVYSFevWtFSzCdbAy4kkpInhEnx8SJM4fOpR1vFtVXAMRrCDWgo6Nj77xjh7Gp4Atx+AP5fTZt/aNNVrBp8DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:52:31.741795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.04791","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c9bdbea4fba5cde97ac13e6fb275418210401c863c0e598681eaf855a640403","sha256:9d5abebc91aeb2c577934d1744a656b621121c5d8889599bcc674d3cca0c0755"],"state_sha256":"e732633c8d423e700857be2a2a2b1ba0141c3ce6f31238327d2d5fa726a068e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k9yFUiHWBKOhyflzJiXiLJ34h50E5z0xALs8gDIEzO3uWoVIEZT6r8LRQZXU8Hoxft1gVuh+AhbuijRtF0JmCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:36:15.342002Z","bundle_sha256":"ef451953e71a182a8c173b53eba4056b8a87328e22e022dd6e5ebdb4f08980e2"}}