{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3REKKOJNHQIVSSMKDBYZFMY4PP","short_pith_number":"pith:3REKKOJN","canonical_record":{"source":{"id":"2501.11274","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-01-20T05:09:40Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"9027c32c3487fda51018febaabfa7ccc9831fcf80135193b189b5b9602364d93","abstract_canon_sha256":"fe25c3e5c6de603d7914305908a8d64e7f6158d7fe0250bfafb7a4cc62bbfae8"},"schema_version":"1.0"},"canonical_sha256":"dc48a5392d3c1159498a187192b31c7bd64566012e3d811ba1997b30f48ec5c0","source":{"kind":"arxiv","id":"2501.11274","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.11274","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"arxiv_version","alias_value":"2501.11274v1","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.11274","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"pith_short_12","alias_value":"3REKKOJNHQIV","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"pith_short_16","alias_value":"3REKKOJNHQIVSSMK","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"pith_short_8","alias_value":"3REKKOJN","created_at":"2026-07-05T10:03:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3REKKOJNHQIVSSMKDBYZFMY4PP","target":"record","payload":{"canonical_record":{"source":{"id":"2501.11274","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-01-20T05:09:40Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"9027c32c3487fda51018febaabfa7ccc9831fcf80135193b189b5b9602364d93","abstract_canon_sha256":"fe25c3e5c6de603d7914305908a8d64e7f6158d7fe0250bfafb7a4cc62bbfae8"},"schema_version":"1.0"},"canonical_sha256":"dc48a5392d3c1159498a187192b31c7bd64566012e3d811ba1997b30f48ec5c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:06.118644Z","signature_b64":"6bxg6uO2sup2K9vMX3yfxaBqgqODU94uX0NUGHGTsnXIow40fj9YrBNMpDqn6Sfkz/yiv+cAd1/DWtS5l1P+Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc48a5392d3c1159498a187192b31c7bd64566012e3d811ba1997b30f48ec5c0","last_reissued_at":"2026-07-05T10:03:06.118214Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:06.118214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.11274","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":"2026-07-05T10:03:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CqOSuzVhIyvK6E0JqRPyzwLpqb3x6UctCQHe+NUcNG12G6dmoLfZKpn1ZjLYGujwVVj48oX3ecOoloEVw1gdDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:54:49.545919Z"},"content_sha256":"54a0876464f75be06d5258e6bd8d819d00cff461113163b384362420028e03ff","schema_version":"1.0","event_id":"sha256:54a0876464f75be06d5258e6bd8d819d00cff461113163b384362420028e03ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3REKKOJNHQIVSSMKDBYZFMY4PP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SEF-PNet: Speaker Encoder-Free Personalized Speech Enhancement with Local and Global Contexts Aggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Haixin Guan, Haoran Wei, Yanhua Long, Ziling Huang","submitted_at":"2025-01-20T05:09:40Z","abstract_excerpt":"Personalized speech enhancement (PSE) methods typically rely on pre-trained speaker verification models or self-designed speaker encoders to extract target speaker clues, guiding the PSE model in isolating the desired speech. However, these approaches suffer from significant model complexity and often underutilize enrollment speaker information, limiting the potential performance of the PSE model. To address these limitations, we propose a novel Speaker Encoder-Free PSE network, termed SEF-PNet, which fully exploits the information present in both the enrollment speech and noisy mixtures. SEF-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.11274","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/2501.11274/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":"2026-07-05T10:03:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M6jFh2bAGUYkUw++X7hKrd3wgNOC2C8QvLMSvynu+1Zsp8VgR2SShaJ+JoQXv4saQH703NsHaecIj9dZaZN5Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:54:49.546331Z"},"content_sha256":"535343589b590d6e9d7e1b886179f3f7943b4c8d93dea9d7cceb114ec3607f53","schema_version":"1.0","event_id":"sha256:535343589b590d6e9d7e1b886179f3f7943b4c8d93dea9d7cceb114ec3607f53"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3REKKOJNHQIVSSMKDBYZFMY4PP/bundle.json","state_url":"https://pith.science/pith/3REKKOJNHQIVSSMKDBYZFMY4PP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3REKKOJNHQIVSSMKDBYZFMY4PP/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":"2026-07-07T04:54:49Z","links":{"resolver":"https://pith.science/pith/3REKKOJNHQIVSSMKDBYZFMY4PP","bundle":"https://pith.science/pith/3REKKOJNHQIVSSMKDBYZFMY4PP/bundle.json","state":"https://pith.science/pith/3REKKOJNHQIVSSMKDBYZFMY4PP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3REKKOJNHQIVSSMKDBYZFMY4PP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3REKKOJNHQIVSSMKDBYZFMY4PP","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":"fe25c3e5c6de603d7914305908a8d64e7f6158d7fe0250bfafb7a4cc62bbfae8","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-01-20T05:09:40Z","title_canon_sha256":"9027c32c3487fda51018febaabfa7ccc9831fcf80135193b189b5b9602364d93"},"schema_version":"1.0","source":{"id":"2501.11274","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.11274","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"arxiv_version","alias_value":"2501.11274v1","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.11274","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"pith_short_12","alias_value":"3REKKOJNHQIV","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"pith_short_16","alias_value":"3REKKOJNHQIVSSMK","created_at":"2026-07-05T10:03:06Z"},{"alias_kind":"pith_short_8","alias_value":"3REKKOJN","created_at":"2026-07-05T10:03:06Z"}],"graph_snapshots":[{"event_id":"sha256:535343589b590d6e9d7e1b886179f3f7943b4c8d93dea9d7cceb114ec3607f53","target":"graph","created_at":"2026-07-05T10:03:06Z","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/2501.11274/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Personalized speech enhancement (PSE) methods typically rely on pre-trained speaker verification models or self-designed speaker encoders to extract target speaker clues, guiding the PSE model in isolating the desired speech. However, these approaches suffer from significant model complexity and often underutilize enrollment speaker information, limiting the potential performance of the PSE model. To address these limitations, we propose a novel Speaker Encoder-Free PSE network, termed SEF-PNet, which fully exploits the information present in both the enrollment speech and noisy mixtures. SEF-","authors_text":"Haixin Guan, Haoran Wei, Yanhua Long, Ziling Huang","cross_cats":["cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-01-20T05:09:40Z","title":"SEF-PNet: Speaker Encoder-Free Personalized Speech Enhancement with Local and Global Contexts Aggregation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.11274","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":"sha256:54a0876464f75be06d5258e6bd8d819d00cff461113163b384362420028e03ff","target":"record","created_at":"2026-07-05T10:03:06Z","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":"fe25c3e5c6de603d7914305908a8d64e7f6158d7fe0250bfafb7a4cc62bbfae8","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-01-20T05:09:40Z","title_canon_sha256":"9027c32c3487fda51018febaabfa7ccc9831fcf80135193b189b5b9602364d93"},"schema_version":"1.0","source":{"id":"2501.11274","kind":"arxiv","version":1}},"canonical_sha256":"dc48a5392d3c1159498a187192b31c7bd64566012e3d811ba1997b30f48ec5c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc48a5392d3c1159498a187192b31c7bd64566012e3d811ba1997b30f48ec5c0","first_computed_at":"2026-07-05T10:03:06.118214Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:06.118214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6bxg6uO2sup2K9vMX3yfxaBqgqODU94uX0NUGHGTsnXIow40fj9YrBNMpDqn6Sfkz/yiv+cAd1/DWtS5l1P+Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:06.118644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.11274","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54a0876464f75be06d5258e6bd8d819d00cff461113163b384362420028e03ff","sha256:535343589b590d6e9d7e1b886179f3f7943b4c8d93dea9d7cceb114ec3607f53"],"state_sha256":"276435be8ee7acbee37b64884970282dfb1f1d98c1ad45f4a1f8c9ba52248ed8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M5n1g/WTSlP7ZU6Kk7WO6WcdYgGne0Lb9Uk54GkimAhQ1NbimVsBidNyOcr0Y9M3HP2l1zx5ip0/LhwybLNuBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T04:54:49.549072Z","bundle_sha256":"db5b1e924a9d3a2d3d5070c693ae13e694465c8b7df92f6020b729ec9ab3c29d"}}