{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OVPDQSRYOWXZVX4I4OAERLLIZA","short_pith_number":"pith:OVPDQSRY","canonical_record":{"source":{"id":"2301.10752","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-01-25T18:21:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7763f29c85fe64039b8261f0d51dc130d329a645a46d38357f83b611edfd36f8","abstract_canon_sha256":"4c755003dcd76868f95e19137f2fab7f09d78a72938e671b317805bb8a9f29e7"},"schema_version":"1.0"},"canonical_sha256":"755e384a3875af9adf88e38048ad68c821574b8d860ad86738e6d1de9a55373e","source":{"kind":"arxiv","id":"2301.10752","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.10752","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"arxiv_version","alias_value":"2301.10752v2","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.10752","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_12","alias_value":"OVPDQSRYOWXZ","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_16","alias_value":"OVPDQSRYOWXZVX4I","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_8","alias_value":"OVPDQSRY","created_at":"2026-07-05T06:24:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OVPDQSRYOWXZVX4I4OAERLLIZA","target":"record","payload":{"canonical_record":{"source":{"id":"2301.10752","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-01-25T18:21:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7763f29c85fe64039b8261f0d51dc130d329a645a46d38357f83b611edfd36f8","abstract_canon_sha256":"4c755003dcd76868f95e19137f2fab7f09d78a72938e671b317805bb8a9f29e7"},"schema_version":"1.0"},"canonical_sha256":"755e384a3875af9adf88e38048ad68c821574b8d860ad86738e6d1de9a55373e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:24:11.206942Z","signature_b64":"u2mpoooZx1qnyxrofzhwfKEHoBRj4D1v5Q/i2YOS2GAGmE0GDw4CALTw9qXoa4UEuGwxJFnAb8pLXsF8AN4FDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"755e384a3875af9adf88e38048ad68c821574b8d860ad86738e6d1de9a55373e","last_reissued_at":"2026-07-05T06:24:11.206548Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:24:11.206548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.10752","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":"2026-07-05T06:24:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KowrMFA1TOdva9PPx76Cb0vVzilfQD3xnQD1H0Tx4IUvPjUvIHwj+XlkHkUj+IaQH+rdzje8j6rgtgVC1i+1DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:16:11.138374Z"},"content_sha256":"16e3bfeca38d2f09c90b8d038920328e44d617af365c5c65550282610790c884","schema_version":"1.0","event_id":"sha256:16e3bfeca38d2f09c90b8d038920328e44d617af365c5c65550282610790c884"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OVPDQSRYOWXZVX4I4OAERLLIZA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"eess.AS","authors_text":"Eliya Nachmani, Lior Wolf, Shahar Lutati","submitted_at":"2023-01-25T18:21:51Z","abstract_excerpt":"The problem of speech separation, also known as the cocktail party problem, refers to the task of isolating a single speech signal from a mixture of speech signals. Previous work on source separation derived an upper bound for the source separation task in the domain of human speech. This bound is derived for deterministic models. Recent advancements in generative models challenge this bound. We show how the upper bound can be generalized to the case of random generative models. Applying a diffusion model Vocoder that was pretrained to model single-speaker voices on the output of a determinist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.10752","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/2301.10752/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":"2026-07-05T06:24:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9a1EkNqrPLt7z7js0SNLmzlaq0EaC9pL25vtgOvjNEUK6R5Ixzsm0N/c39eCUlgAdUudwcKe26fdFAxyI/18DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:16:11.138915Z"},"content_sha256":"45cb7b19cddd06d4f8e4934ce09abfdb04b0a7ac2c619e5fb4842209cab7a720","schema_version":"1.0","event_id":"sha256:45cb7b19cddd06d4f8e4934ce09abfdb04b0a7ac2c619e5fb4842209cab7a720"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OVPDQSRYOWXZVX4I4OAERLLIZA/bundle.json","state_url":"https://pith.science/pith/OVPDQSRYOWXZVX4I4OAERLLIZA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OVPDQSRYOWXZVX4I4OAERLLIZA/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":"2026-08-08T11:16:11Z","links":{"resolver":"https://pith.science/pith/OVPDQSRYOWXZVX4I4OAERLLIZA","bundle":"https://pith.science/pith/OVPDQSRYOWXZVX4I4OAERLLIZA/bundle.json","state":"https://pith.science/pith/OVPDQSRYOWXZVX4I4OAERLLIZA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OVPDQSRYOWXZVX4I4OAERLLIZA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OVPDQSRYOWXZVX4I4OAERLLIZA","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":"4c755003dcd76868f95e19137f2fab7f09d78a72938e671b317805bb8a9f29e7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-01-25T18:21:51Z","title_canon_sha256":"7763f29c85fe64039b8261f0d51dc130d329a645a46d38357f83b611edfd36f8"},"schema_version":"1.0","source":{"id":"2301.10752","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.10752","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"arxiv_version","alias_value":"2301.10752v2","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.10752","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_12","alias_value":"OVPDQSRYOWXZ","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_16","alias_value":"OVPDQSRYOWXZVX4I","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_8","alias_value":"OVPDQSRY","created_at":"2026-07-05T06:24:11Z"}],"graph_snapshots":[{"event_id":"sha256:45cb7b19cddd06d4f8e4934ce09abfdb04b0a7ac2c619e5fb4842209cab7a720","target":"graph","created_at":"2026-07-05T06:24:11Z","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/2301.10752/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The problem of speech separation, also known as the cocktail party problem, refers to the task of isolating a single speech signal from a mixture of speech signals. Previous work on source separation derived an upper bound for the source separation task in the domain of human speech. This bound is derived for deterministic models. Recent advancements in generative models challenge this bound. We show how the upper bound can be generalized to the case of random generative models. Applying a diffusion model Vocoder that was pretrained to model single-speaker voices on the output of a determinist","authors_text":"Eliya Nachmani, Lior Wolf, Shahar Lutati","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-01-25T18:21:51Z","title":"Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.10752","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":"sha256:16e3bfeca38d2f09c90b8d038920328e44d617af365c5c65550282610790c884","target":"record","created_at":"2026-07-05T06:24:11Z","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":"4c755003dcd76868f95e19137f2fab7f09d78a72938e671b317805bb8a9f29e7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-01-25T18:21:51Z","title_canon_sha256":"7763f29c85fe64039b8261f0d51dc130d329a645a46d38357f83b611edfd36f8"},"schema_version":"1.0","source":{"id":"2301.10752","kind":"arxiv","version":2}},"canonical_sha256":"755e384a3875af9adf88e38048ad68c821574b8d860ad86738e6d1de9a55373e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"755e384a3875af9adf88e38048ad68c821574b8d860ad86738e6d1de9a55373e","first_computed_at":"2026-07-05T06:24:11.206548Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:24:11.206548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u2mpoooZx1qnyxrofzhwfKEHoBRj4D1v5Q/i2YOS2GAGmE0GDw4CALTw9qXoa4UEuGwxJFnAb8pLXsF8AN4FDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:24:11.206942Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.10752","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16e3bfeca38d2f09c90b8d038920328e44d617af365c5c65550282610790c884","sha256:45cb7b19cddd06d4f8e4934ce09abfdb04b0a7ac2c619e5fb4842209cab7a720"],"state_sha256":"6ec0c7c5c6453e9562642ad9378cea555bf3e47e1ed104c5c6b5551b7c36b2b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8JWtxeJTPswJopQQiHMY/TPfvWANwZO/IAGbqvemR6QUvbSTxzMGDiHzmBbWTZxBXql8oJP0a8ieYPhHCQA1Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:16:11.142679Z","bundle_sha256":"b5735cdf6f47b2e106f32c2130b731a92ca761ba74fef6c05cad3166c9ec9614"}}