{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:O567A5D4DML7APAWB55OEOY7DV","short_pith_number":"pith:O567A5D4","canonical_record":{"source":{"id":"2509.04161","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-09-04T12:35:10Z","cross_cats_sorted":[],"title_canon_sha256":"32537e9c5415e15388196b423294dc8c05a897359e3b08133bec0cd378fc7350","abstract_canon_sha256":"ff92ea1e59c322147f49dda023f19c2d14673fdcdf9ae50030aea5486c5aa70a"},"schema_version":"1.0"},"canonical_sha256":"777df0747c1b17f03c160f7ae23b1f1d5a8baa168bd3c4e776aab223c2737c79","source":{"kind":"arxiv","id":"2509.04161","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04161","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04161v1","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04161","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"O567A5D4DML7","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"O567A5D4DML7APAW","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"O567A5D4","created_at":"2026-07-05T12:04:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:O567A5D4DML7APAWB55OEOY7DV","target":"record","payload":{"canonical_record":{"source":{"id":"2509.04161","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-09-04T12:35:10Z","cross_cats_sorted":[],"title_canon_sha256":"32537e9c5415e15388196b423294dc8c05a897359e3b08133bec0cd378fc7350","abstract_canon_sha256":"ff92ea1e59c322147f49dda023f19c2d14673fdcdf9ae50030aea5486c5aa70a"},"schema_version":"1.0"},"canonical_sha256":"777df0747c1b17f03c160f7ae23b1f1d5a8baa168bd3c4e776aab223c2737c79","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:54.525813Z","signature_b64":"cyvjIaafovOFVzDgvEN9MY8eB1KbGrhbF8QkwZN23LDE8wpixwm0tj7TiZy66Hno5fHu9vtfmSnSinzC56zVCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"777df0747c1b17f03c160f7ae23b1f1d5a8baa168bd3c4e776aab223c2737c79","last_reissued_at":"2026-07-05T12:04:54.525286Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:54.525286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.04161","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":"2026-07-05T12:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CQLGcj7M4MNiH0gwXibFBRceJ1yXJ/3TQMCbZWA5n2KDCBhseiXNZ8/YoiWr8u3N6cGIGTuibuhrAd1PLYsXDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:01:20.438066Z"},"content_sha256":"32d8de4dbee6a763d433e9fba82aff2bfa9374552db982a0394a8a3f865822b9","schema_version":"1.0","event_id":"sha256:32d8de4dbee6a763d433e9fba82aff2bfa9374552db982a0394a8a3f865822b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:O567A5D4DML7APAWB55OEOY7DV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Jianbo Zhan, Lei Fang, Liang He, Lin Liu, Minqiang Xu, Sian Fang, Yihao Chen, Yunqi Hao","submitted_at":"2025-09-04T12:35:10Z","abstract_excerpt":"In recent years, self-supervised learning (SSL) models have made significant progress in audio deepfake detection (ADD) tasks. However, existing SSL models mainly rely on large-scale real speech for pre-training and lack the learning of spoofed samples, which leads to susceptibility to domain bias during the fine-tuning process of the ADD task. To this end, we propose a two-stage learning strategy (Wav2DF-TSL) based on pre-training and hierarchical expert fusion for robust audio deepfake detection. In the pre-training stage, we use adapters to efficiently learn artifacts from 3000 hours of unl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04161","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/2509.04161/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":"2026-07-05T12:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"46YFUJi04+nljeipNjzCMFnzuZ6FF9rIAWf1unlr8LPYw5Y4FU6vFEWRpzuKYzsnAsZv2sOn927gTCMoG19UAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:01:20.438437Z"},"content_sha256":"0662c6e61400a8654c472587c12c9100a5ee72aa737881434e610ff5b366c071","schema_version":"1.0","event_id":"sha256:0662c6e61400a8654c472587c12c9100a5ee72aa737881434e610ff5b366c071"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O567A5D4DML7APAWB55OEOY7DV/bundle.json","state_url":"https://pith.science/pith/O567A5D4DML7APAWB55OEOY7DV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O567A5D4DML7APAWB55OEOY7DV/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":"2026-08-04T21:01:20Z","links":{"resolver":"https://pith.science/pith/O567A5D4DML7APAWB55OEOY7DV","bundle":"https://pith.science/pith/O567A5D4DML7APAWB55OEOY7DV/bundle.json","state":"https://pith.science/pith/O567A5D4DML7APAWB55OEOY7DV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O567A5D4DML7APAWB55OEOY7DV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:O567A5D4DML7APAWB55OEOY7DV","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":"ff92ea1e59c322147f49dda023f19c2d14673fdcdf9ae50030aea5486c5aa70a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-09-04T12:35:10Z","title_canon_sha256":"32537e9c5415e15388196b423294dc8c05a897359e3b08133bec0cd378fc7350"},"schema_version":"1.0","source":{"id":"2509.04161","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04161","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04161v1","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04161","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"O567A5D4DML7","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"O567A5D4DML7APAW","created_at":"2026-07-05T12:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"O567A5D4","created_at":"2026-07-05T12:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:0662c6e61400a8654c472587c12c9100a5ee72aa737881434e610ff5b366c071","target":"graph","created_at":"2026-07-05T12:04:54Z","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/2509.04161/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, self-supervised learning (SSL) models have made significant progress in audio deepfake detection (ADD) tasks. However, existing SSL models mainly rely on large-scale real speech for pre-training and lack the learning of spoofed samples, which leads to susceptibility to domain bias during the fine-tuning process of the ADD task. To this end, we propose a two-stage learning strategy (Wav2DF-TSL) based on pre-training and hierarchical expert fusion for robust audio deepfake detection. In the pre-training stage, we use adapters to efficiently learn artifacts from 3000 hours of unl","authors_text":"Jianbo Zhan, Lei Fang, Liang He, Lin Liu, Minqiang Xu, Sian Fang, Yihao Chen, Yunqi Hao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-09-04T12:35:10Z","title":"Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04161","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":"sha256:32d8de4dbee6a763d433e9fba82aff2bfa9374552db982a0394a8a3f865822b9","target":"record","created_at":"2026-07-05T12:04:54Z","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":"ff92ea1e59c322147f49dda023f19c2d14673fdcdf9ae50030aea5486c5aa70a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-09-04T12:35:10Z","title_canon_sha256":"32537e9c5415e15388196b423294dc8c05a897359e3b08133bec0cd378fc7350"},"schema_version":"1.0","source":{"id":"2509.04161","kind":"arxiv","version":1}},"canonical_sha256":"777df0747c1b17f03c160f7ae23b1f1d5a8baa168bd3c4e776aab223c2737c79","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"777df0747c1b17f03c160f7ae23b1f1d5a8baa168bd3c4e776aab223c2737c79","first_computed_at":"2026-07-05T12:04:54.525286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:54.525286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cyvjIaafovOFVzDgvEN9MY8eB1KbGrhbF8QkwZN23LDE8wpixwm0tj7TiZy66Hno5fHu9vtfmSnSinzC56zVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:54.525813Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04161","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32d8de4dbee6a763d433e9fba82aff2bfa9374552db982a0394a8a3f865822b9","sha256:0662c6e61400a8654c472587c12c9100a5ee72aa737881434e610ff5b366c071"],"state_sha256":"6aad01820fdff5e0214fa6b52f951e45d87219c3d11c0665c8c1b24e13e7e393"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9bkJIKMcfw8map8lWhWiHG4VknXF7ocIl+WzcWoxzHRGZ1NlI+o36Sq77Q2iWE6GJmM9YpD5574zGF/U+KH0DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:01:20.441038Z","bundle_sha256":"be4459347567924b6f9d692fe811fb4c63405ed3fc421acc626bc824f3eacf43"}}