{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4VGRVYEB7NHOFCCORT2NWSZFUP","short_pith_number":"pith:4VGRVYEB","canonical_record":{"source":{"id":"2506.12260","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-06-13T22:22:19Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"ab012004f41bebd38df6764684230a45ae74aa35ed8a66378d3d630070a5e977","abstract_canon_sha256":"116198d8c34bc041757793c0fd044ba090dc6b09461470e47010769cd5643277"},"schema_version":"1.0"},"canonical_sha256":"e54d1ae081fb4ee2884e8cf4db4b25a3f06c856f66e1933d1e8e3b2c51c2433e","source":{"kind":"arxiv","id":"2506.12260","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12260","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12260v2","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12260","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"pith_short_12","alias_value":"4VGRVYEB7NHO","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"pith_short_16","alias_value":"4VGRVYEB7NHOFCCO","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"pith_short_8","alias_value":"4VGRVYEB","created_at":"2026-07-05T11:57:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4VGRVYEB7NHOFCCORT2NWSZFUP","target":"record","payload":{"canonical_record":{"source":{"id":"2506.12260","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-06-13T22:22:19Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"ab012004f41bebd38df6764684230a45ae74aa35ed8a66378d3d630070a5e977","abstract_canon_sha256":"116198d8c34bc041757793c0fd044ba090dc6b09461470e47010769cd5643277"},"schema_version":"1.0"},"canonical_sha256":"e54d1ae081fb4ee2884e8cf4db4b25a3f06c856f66e1933d1e8e3b2c51c2433e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:37.515571Z","signature_b64":"4BvKVyzxO95xo3vZo97f+t89uaWiqpd/Q3mxLFlvV8XHt3o7yPLP/+2MIDsMUEIPhA9wG3dAAMxZuNEcwUbyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e54d1ae081fb4ee2884e8cf4db4b25a3f06c856f66e1933d1e8e3b2c51c2433e","last_reissued_at":"2026-07-05T11:57:37.515033Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:37.515033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.12260","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":"2026-07-05T11:57:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vmTTYTvoiK0RnvTzO//nLVKqcd/da+r+G0aJ7UWKdOGHphnYZlFuSk8eiB1qnz0vTxOVyxyL8ED/K9hrlb4FBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:44:59.254210Z"},"content_sha256":"8d2e749d4843697f8b75dcef04b5c1dfa2a1e4f0271be1240b85e42851d914eb","schema_version":"1.0","event_id":"sha256:8d2e749d4843697f8b75dcef04b5c1dfa2a1e4f0271be1240b85e42851d914eb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4VGRVYEB7NHOFCCORT2NWSZFUP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Chenda Li, Jiatong Shi, Shinji Watanabe, Wangyou Zhang, Wei Wang, Yanmin Qian","submitted_at":"2025-06-13T22:22:19Z","abstract_excerpt":"Speech quality assessment (SQA) aims to predict the perceived quality of speech signals under a wide range of distortions. It is inherently connected to speech enhancement (SE), which seeks to improve speech quality by removing unwanted signal components. While SQA models are widely used to evaluate SE performance, their potential to guide SE training remains underexplored. In this work, we investigate a training framework that leverages a SQA model, trained to predict multiple evaluation metrics from a public SE leaderboard, as a supervisory signal for SE. This approach addresses a key limita"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12260","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/2506.12260/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":"2026-07-05T11:57:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NwCvxceBjgCwMzpWpozrXn/s+CnARsHR+pxiyNxfnZbgr0PIcQnjsRHr5AS0abuYcGUV5XiljzOHWsb5iqjkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:44:59.254725Z"},"content_sha256":"3bc989b3558e3b25e287e547ea7862d1a485693a16647c968cfd50ac0f0c576d","schema_version":"1.0","event_id":"sha256:3bc989b3558e3b25e287e547ea7862d1a485693a16647c968cfd50ac0f0c576d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4VGRVYEB7NHOFCCORT2NWSZFUP/bundle.json","state_url":"https://pith.science/pith/4VGRVYEB7NHOFCCORT2NWSZFUP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4VGRVYEB7NHOFCCORT2NWSZFUP/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":"2026-08-07T21:44:59Z","links":{"resolver":"https://pith.science/pith/4VGRVYEB7NHOFCCORT2NWSZFUP","bundle":"https://pith.science/pith/4VGRVYEB7NHOFCCORT2NWSZFUP/bundle.json","state":"https://pith.science/pith/4VGRVYEB7NHOFCCORT2NWSZFUP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4VGRVYEB7NHOFCCORT2NWSZFUP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4VGRVYEB7NHOFCCORT2NWSZFUP","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":"116198d8c34bc041757793c0fd044ba090dc6b09461470e47010769cd5643277","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-06-13T22:22:19Z","title_canon_sha256":"ab012004f41bebd38df6764684230a45ae74aa35ed8a66378d3d630070a5e977"},"schema_version":"1.0","source":{"id":"2506.12260","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12260","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12260v2","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12260","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"pith_short_12","alias_value":"4VGRVYEB7NHO","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"pith_short_16","alias_value":"4VGRVYEB7NHOFCCO","created_at":"2026-07-05T11:57:37Z"},{"alias_kind":"pith_short_8","alias_value":"4VGRVYEB","created_at":"2026-07-05T11:57:37Z"}],"graph_snapshots":[{"event_id":"sha256:3bc989b3558e3b25e287e547ea7862d1a485693a16647c968cfd50ac0f0c576d","target":"graph","created_at":"2026-07-05T11:57:37Z","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/2506.12260/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech quality assessment (SQA) aims to predict the perceived quality of speech signals under a wide range of distortions. It is inherently connected to speech enhancement (SE), which seeks to improve speech quality by removing unwanted signal components. While SQA models are widely used to evaluate SE performance, their potential to guide SE training remains underexplored. In this work, we investigate a training framework that leverages a SQA model, trained to predict multiple evaluation metrics from a public SE leaderboard, as a supervisory signal for SE. This approach addresses a key limita","authors_text":"Chenda Li, Jiatong Shi, Shinji Watanabe, Wangyou Zhang, Wei Wang, Yanmin Qian","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-06-13T22:22:19Z","title":"Improving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12260","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":"sha256:8d2e749d4843697f8b75dcef04b5c1dfa2a1e4f0271be1240b85e42851d914eb","target":"record","created_at":"2026-07-05T11:57:37Z","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":"116198d8c34bc041757793c0fd044ba090dc6b09461470e47010769cd5643277","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-06-13T22:22:19Z","title_canon_sha256":"ab012004f41bebd38df6764684230a45ae74aa35ed8a66378d3d630070a5e977"},"schema_version":"1.0","source":{"id":"2506.12260","kind":"arxiv","version":2}},"canonical_sha256":"e54d1ae081fb4ee2884e8cf4db4b25a3f06c856f66e1933d1e8e3b2c51c2433e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e54d1ae081fb4ee2884e8cf4db4b25a3f06c856f66e1933d1e8e3b2c51c2433e","first_computed_at":"2026-07-05T11:57:37.515033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:37.515033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4BvKVyzxO95xo3vZo97f+t89uaWiqpd/Q3mxLFlvV8XHt3o7yPLP/+2MIDsMUEIPhA9wG3dAAMxZuNEcwUbyBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:37.515571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.12260","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d2e749d4843697f8b75dcef04b5c1dfa2a1e4f0271be1240b85e42851d914eb","sha256:3bc989b3558e3b25e287e547ea7862d1a485693a16647c968cfd50ac0f0c576d"],"state_sha256":"ffc11991218a90c058899c4047c968461540980f48c9ee8b6d283ef874b36bb2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TGG4wlY1urLW0AGTqkOR5LIpwcVjKOJOSUe9TH/miP1b0nmnNiKXPC+2VxNgnGhxiQZo2ejt3dOs4WRNoLgzAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:44:59.258619Z","bundle_sha256":"d537bd53fcfb53a0d7d4b567c3032906c96168ce983d3d056c1d891bdfd40c9b"}}