{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XZW6ELJLPKRZCW4EFOVWGDKV3N","short_pith_number":"pith:XZW6ELJL","canonical_record":{"source":{"id":"2408.03438","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-08-06T20:25:09Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"77b77e8bf92f27e4d41ce798950e6c2646ea3de0502f1a471efb65ecaf89f1d8","abstract_canon_sha256":"beb4cd1936f563ab6e13bbf18f6efaa1f50cbc8a4dadaf7e5e6281f1cf93cfcb"},"schema_version":"1.0"},"canonical_sha256":"be6de22d2b7aa3915b842bab630d55db6b936337756dc597877caaa2ab9c8d64","source":{"kind":"arxiv","id":"2408.03438","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03438","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03438v1","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03438","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"pith_short_12","alias_value":"XZW6ELJLPKRZ","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"pith_short_16","alias_value":"XZW6ELJLPKRZCW4E","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"pith_short_8","alias_value":"XZW6ELJL","created_at":"2026-07-05T08:52:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XZW6ELJLPKRZCW4EFOVWGDKV3N","target":"record","payload":{"canonical_record":{"source":{"id":"2408.03438","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-08-06T20:25:09Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"77b77e8bf92f27e4d41ce798950e6c2646ea3de0502f1a471efb65ecaf89f1d8","abstract_canon_sha256":"beb4cd1936f563ab6e13bbf18f6efaa1f50cbc8a4dadaf7e5e6281f1cf93cfcb"},"schema_version":"1.0"},"canonical_sha256":"be6de22d2b7aa3915b842bab630d55db6b936337756dc597877caaa2ab9c8d64","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:58.533195Z","signature_b64":"kBERs6KRi9pW1oNTgC7Rnk6PJiLJZJE6gE8p7iIUINfT3stCC4VSoNKIi25ZRpqIx7RNC0hUkoxdDZemNXMlCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be6de22d2b7aa3915b842bab630d55db6b936337756dc597877caaa2ab9c8d64","last_reissued_at":"2026-07-05T08:52:58.532740Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:58.532740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.03438","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":"2026-07-05T08:52:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I7zj/L/VnY4mELAG4ZQp/kaq0gKupm8gLcF5qYMNlv09z4idhR3KuzoJs8scVQJrx+wA0E0AT+m7FvI4zNnFCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:50:55.060041Z"},"content_sha256":"37241ac462c3c93b8830c7317e5f3b4d3e05878de30e1da97768a5b160d027bd","schema_version":"1.0","event_id":"sha256:37241ac462c3c93b8830c7317e5f3b4d3e05878de30e1da97768a5b160d027bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XZW6ELJLPKRZCW4EFOVWGDKV3N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhanced Reverberation as Supervision for Unsupervised Speech Separation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Fran\\c{c}ois G. Germain, Gordon Wichern, Jonathan Le Roux, Kohei Saijo, Zexu Pan","submitted_at":"2024-08-06T20:25:09Z","abstract_excerpt":"Reverberation as supervision (RAS) is a framework that allows for training monaural speech separation models from multi-channel mixtures in an unsupervised manner. In RAS, models are trained so that sources predicted from a mixture at an input channel can be mapped to reconstruct a mixture at a target channel. However, stable unsupervised training has so far only been achieved in over-determined source-channel conditions, leaving the key determined case unsolved. This work proposes enhanced RAS (ERAS) for solving this problem. Through qualitative analysis, we found that stable training can be "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03438","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/2408.03438/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":"2026-07-05T08:52:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yC39ibY6x7cQ0N54eWWaKci5hvJtb918/P3a66pg/JZg9IzI4xCANkwpg7FYQkT5ze3JqW+zCpJ0TwacUXeMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:50:55.060424Z"},"content_sha256":"678cfdd04a3e8bea748289c6ba636e7ca3ddb37db589d4d784230104058c9c3e","schema_version":"1.0","event_id":"sha256:678cfdd04a3e8bea748289c6ba636e7ca3ddb37db589d4d784230104058c9c3e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XZW6ELJLPKRZCW4EFOVWGDKV3N/bundle.json","state_url":"https://pith.science/pith/XZW6ELJLPKRZCW4EFOVWGDKV3N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XZW6ELJLPKRZCW4EFOVWGDKV3N/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":"2026-08-03T18:50:55Z","links":{"resolver":"https://pith.science/pith/XZW6ELJLPKRZCW4EFOVWGDKV3N","bundle":"https://pith.science/pith/XZW6ELJLPKRZCW4EFOVWGDKV3N/bundle.json","state":"https://pith.science/pith/XZW6ELJLPKRZCW4EFOVWGDKV3N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XZW6ELJLPKRZCW4EFOVWGDKV3N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XZW6ELJLPKRZCW4EFOVWGDKV3N","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":"beb4cd1936f563ab6e13bbf18f6efaa1f50cbc8a4dadaf7e5e6281f1cf93cfcb","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-08-06T20:25:09Z","title_canon_sha256":"77b77e8bf92f27e4d41ce798950e6c2646ea3de0502f1a471efb65ecaf89f1d8"},"schema_version":"1.0","source":{"id":"2408.03438","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03438","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03438v1","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03438","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"pith_short_12","alias_value":"XZW6ELJLPKRZ","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"pith_short_16","alias_value":"XZW6ELJLPKRZCW4E","created_at":"2026-07-05T08:52:58Z"},{"alias_kind":"pith_short_8","alias_value":"XZW6ELJL","created_at":"2026-07-05T08:52:58Z"}],"graph_snapshots":[{"event_id":"sha256:678cfdd04a3e8bea748289c6ba636e7ca3ddb37db589d4d784230104058c9c3e","target":"graph","created_at":"2026-07-05T08:52:58Z","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/2408.03438/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reverberation as supervision (RAS) is a framework that allows for training monaural speech separation models from multi-channel mixtures in an unsupervised manner. In RAS, models are trained so that sources predicted from a mixture at an input channel can be mapped to reconstruct a mixture at a target channel. However, stable unsupervised training has so far only been achieved in over-determined source-channel conditions, leaving the key determined case unsolved. This work proposes enhanced RAS (ERAS) for solving this problem. Through qualitative analysis, we found that stable training can be ","authors_text":"Fran\\c{c}ois G. Germain, Gordon Wichern, Jonathan Le Roux, Kohei Saijo, Zexu Pan","cross_cats":["cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-08-06T20:25:09Z","title":"Enhanced Reverberation as Supervision for Unsupervised Speech Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03438","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":"sha256:37241ac462c3c93b8830c7317e5f3b4d3e05878de30e1da97768a5b160d027bd","target":"record","created_at":"2026-07-05T08:52:58Z","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":"beb4cd1936f563ab6e13bbf18f6efaa1f50cbc8a4dadaf7e5e6281f1cf93cfcb","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-08-06T20:25:09Z","title_canon_sha256":"77b77e8bf92f27e4d41ce798950e6c2646ea3de0502f1a471efb65ecaf89f1d8"},"schema_version":"1.0","source":{"id":"2408.03438","kind":"arxiv","version":1}},"canonical_sha256":"be6de22d2b7aa3915b842bab630d55db6b936337756dc597877caaa2ab9c8d64","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be6de22d2b7aa3915b842bab630d55db6b936337756dc597877caaa2ab9c8d64","first_computed_at":"2026-07-05T08:52:58.532740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:58.532740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kBERs6KRi9pW1oNTgC7Rnk6PJiLJZJE6gE8p7iIUINfT3stCC4VSoNKIi25ZRpqIx7RNC0hUkoxdDZemNXMlCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:58.533195Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.03438","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37241ac462c3c93b8830c7317e5f3b4d3e05878de30e1da97768a5b160d027bd","sha256:678cfdd04a3e8bea748289c6ba636e7ca3ddb37db589d4d784230104058c9c3e"],"state_sha256":"0a25c58dd79a29a29e138fba133259ab8481077b504aeb1bf27e76b41f2f82ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ld0y/XCwRtprSnjVv6nYXRMU8V/grs5CMNJQ0GUSX/aLM10VtJdLkJtGXuIaLyMk1Luo8s5yxZGDhnQDFIKRCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T18:50:55.063167Z","bundle_sha256":"8e99162cd6c9c0aa105bf30285346a99958b5f52229d44ccc8dcb45716c1a588"}}