{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:RQPCEMHWLOKOENSF7BQ5SZWDTP","short_pith_number":"pith:RQPCEMHW","canonical_record":{"source":{"id":"2309.01212","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-09-03T16:33:49Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"753ebecfbec9bda91b8b29850b427d9d293f0af11334c636af437aefd61ae777","abstract_canon_sha256":"544414b44399d8c0fc03929ded2cacb78b909f7d51129feed476816090da9cfa"},"schema_version":"1.0"},"canonical_sha256":"8c1e2230f65b94e23645f861d966c39bc68554cd97c9135e890e3f27d9d92598","source":{"kind":"arxiv","id":"2309.01212","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01212","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01212v1","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01212","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"pith_short_12","alias_value":"RQPCEMHWLOKO","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"pith_short_16","alias_value":"RQPCEMHWLOKOENSF","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"pith_short_8","alias_value":"RQPCEMHW","created_at":"2026-07-05T06:47:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:RQPCEMHWLOKOENSF7BQ5SZWDTP","target":"record","payload":{"canonical_record":{"source":{"id":"2309.01212","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-09-03T16:33:49Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"753ebecfbec9bda91b8b29850b427d9d293f0af11334c636af437aefd61ae777","abstract_canon_sha256":"544414b44399d8c0fc03929ded2cacb78b909f7d51129feed476816090da9cfa"},"schema_version":"1.0"},"canonical_sha256":"8c1e2230f65b94e23645f861d966c39bc68554cd97c9135e890e3f27d9d92598","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:47:34.641383Z","signature_b64":"kII5gUmI6La3YdJ3Hi6dLOaiaJg1ufJ4VHBg/Pi9nbI0rIw0awr3oWaUIMq4JSSdA6hkfY3KGZZz8XxsDSVHAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c1e2230f65b94e23645f861d966c39bc68554cd97c9135e890e3f27d9d92598","last_reissued_at":"2026-07-05T06:47:34.640889Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:47:34.640889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.01212","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":"2026-07-05T06:47:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qmiRTMG/egwBexvn7L1JptxR8Z25v7YGzrVjFL0PRi4zv8WUmMpUXd2Q+tJjw+yp2Om4UgAEL1WGdGx4QtlNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:35:47.672942Z"},"content_sha256":"a120a68ab86d3c4114df40e9242562525b7f858729be053765ce5307a0fedb50","schema_version":"1.0","event_id":"sha256:a120a68ab86d3c4114df40e9242562525b7f858729be053765ce5307a0fedb50"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:RQPCEMHWLOKOENSF7BQ5SZWDTP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Bowen Cao, Dongchao Yang, Qichen Ye, Wen Wang, Yuexian Zou","submitted_at":"2023-09-03T16:33:49Z","abstract_excerpt":"The goal of speech enhancement (SE) is to eliminate the background interference from the noisy speech signal. Generative models such as diffusion models (DM) have been applied to the task of SE because of better generalization in unseen noisy scenes. Technical routes for the DM-based SE methods can be summarized into three types: task-adapted diffusion process formulation, generator-plus-conditioner (GPC) structures and the multi-stage frameworks. We focus on the first two approaches, which are constructed under the GPC architecture and use the task-adapted diffusion process to better deal wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01212","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/2309.01212/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":"2026-07-05T06:47:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6dBDkNmxo2yae6+s6eGAdd+RstB7aRvLFqwdwBudBHpgNmZTzEm9gz1yRsx2Vs/eij8CDgMdo/wa3y3KARRCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:35:47.673546Z"},"content_sha256":"0b1862a2e91c3b023f2563aa670e916eee5b051e33aff7df141c919218a21ec6","schema_version":"1.0","event_id":"sha256:0b1862a2e91c3b023f2563aa670e916eee5b051e33aff7df141c919218a21ec6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RQPCEMHWLOKOENSF7BQ5SZWDTP/bundle.json","state_url":"https://pith.science/pith/RQPCEMHWLOKOENSF7BQ5SZWDTP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RQPCEMHWLOKOENSF7BQ5SZWDTP/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":"2026-08-21T10:35:47Z","links":{"resolver":"https://pith.science/pith/RQPCEMHWLOKOENSF7BQ5SZWDTP","bundle":"https://pith.science/pith/RQPCEMHWLOKOENSF7BQ5SZWDTP/bundle.json","state":"https://pith.science/pith/RQPCEMHWLOKOENSF7BQ5SZWDTP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RQPCEMHWLOKOENSF7BQ5SZWDTP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RQPCEMHWLOKOENSF7BQ5SZWDTP","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":"544414b44399d8c0fc03929ded2cacb78b909f7d51129feed476816090da9cfa","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-09-03T16:33:49Z","title_canon_sha256":"753ebecfbec9bda91b8b29850b427d9d293f0af11334c636af437aefd61ae777"},"schema_version":"1.0","source":{"id":"2309.01212","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01212","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01212v1","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01212","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"pith_short_12","alias_value":"RQPCEMHWLOKO","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"pith_short_16","alias_value":"RQPCEMHWLOKOENSF","created_at":"2026-07-05T06:47:34Z"},{"alias_kind":"pith_short_8","alias_value":"RQPCEMHW","created_at":"2026-07-05T06:47:34Z"}],"graph_snapshots":[{"event_id":"sha256:0b1862a2e91c3b023f2563aa670e916eee5b051e33aff7df141c919218a21ec6","target":"graph","created_at":"2026-07-05T06:47:34Z","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/2309.01212/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The goal of speech enhancement (SE) is to eliminate the background interference from the noisy speech signal. Generative models such as diffusion models (DM) have been applied to the task of SE because of better generalization in unseen noisy scenes. Technical routes for the DM-based SE methods can be summarized into three types: task-adapted diffusion process formulation, generator-plus-conditioner (GPC) structures and the multi-stage frameworks. We focus on the first two approaches, which are constructed under the GPC architecture and use the task-adapted diffusion process to better deal wit","authors_text":"Bowen Cao, Dongchao Yang, Qichen Ye, Wen Wang, Yuexian Zou","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-09-03T16:33:49Z","title":"NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01212","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:a120a68ab86d3c4114df40e9242562525b7f858729be053765ce5307a0fedb50","target":"record","created_at":"2026-07-05T06:47:34Z","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":"544414b44399d8c0fc03929ded2cacb78b909f7d51129feed476816090da9cfa","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-09-03T16:33:49Z","title_canon_sha256":"753ebecfbec9bda91b8b29850b427d9d293f0af11334c636af437aefd61ae777"},"schema_version":"1.0","source":{"id":"2309.01212","kind":"arxiv","version":1}},"canonical_sha256":"8c1e2230f65b94e23645f861d966c39bc68554cd97c9135e890e3f27d9d92598","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c1e2230f65b94e23645f861d966c39bc68554cd97c9135e890e3f27d9d92598","first_computed_at":"2026-07-05T06:47:34.640889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:47:34.640889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kII5gUmI6La3YdJ3Hi6dLOaiaJg1ufJ4VHBg/Pi9nbI0rIw0awr3oWaUIMq4JSSdA6hkfY3KGZZz8XxsDSVHAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:47:34.641383Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.01212","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a120a68ab86d3c4114df40e9242562525b7f858729be053765ce5307a0fedb50","sha256:0b1862a2e91c3b023f2563aa670e916eee5b051e33aff7df141c919218a21ec6"],"state_sha256":"61fdd4d7c0671f2ba6fcfcc2c9b00618ec8186299318e2e3b2af9a106878a86f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TRXTioQEYkdghyPPqzlegmbgNj+568Xv60QKzlI3evoV2lbvJAkWVsQBkyCVqGG0YE2LbiBb2rJjPGE4IhCcAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T10:35:47.677989Z","bundle_sha256":"101dcf2f64e053336dbe5b4c0ecbc7a8348cfa4ddf6451db99458b92f65db86e"}}