{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5CYIATHDLRXUJEGBHQO6RJYOO6","short_pith_number":"pith:5CYIATHD","canonical_record":{"source":{"id":"2405.08596","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-14T13:37:13Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"57b9a4a38689cd4519134fa4430236d69f0a961a40043bbe460c044ade792df4","abstract_canon_sha256":"7a0cff46388faf034bdd4726351f403f0a2234941ae73cc49b99d3c86cdb627a"},"schema_version":"1.0"},"canonical_sha256":"e8b0804ce35c6f4490c13c1de8a70e77a11d86da41448684305359ccd4716d67","source":{"kind":"arxiv","id":"2405.08596","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.08596","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2405.08596v3","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.08596","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"5CYIATHDLRXU","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"5CYIATHDLRXUJEGB","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"5CYIATHD","created_at":"2026-07-05T08:54:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5CYIATHDLRXUJEGBHQO6RJYOO6","target":"record","payload":{"canonical_record":{"source":{"id":"2405.08596","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-14T13:37:13Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"57b9a4a38689cd4519134fa4430236d69f0a961a40043bbe460c044ade792df4","abstract_canon_sha256":"7a0cff46388faf034bdd4726351f403f0a2234941ae73cc49b99d3c86cdb627a"},"schema_version":"1.0"},"canonical_sha256":"e8b0804ce35c6f4490c13c1de8a70e77a11d86da41448684305359ccd4716d67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:50.829295Z","signature_b64":"FECohDbwjdW9EzyjETlwUoIE+ZF2aGN02k0Ef7snEurgA+yIu+7nJEefcDS0VJ/WkdM5V9Mg8o7Bly2kFjQlBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8b0804ce35c6f4490c13c1de8a70e77a11d86da41448684305359ccd4716d67","last_reissued_at":"2026-07-05T08:54:50.828840Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:50.828840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.08596","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:54:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"svS5vv3RmU2L0MDw2Aj1jhuvhWwWw4SnKXAAZKZ6+zPvxSxZ5WVa/ZCbGIf3iOQeT6cX0tnvqkr+G7GCPw+aCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:09:08.336865Z"},"content_sha256":"dca16d3dc9aaab8f2da4db772e84183b69b36f0bcd161e387d3f20b9514f3cce","schema_version":"1.0","event_id":"sha256:dca16d3dc9aaab8f2da4db772e84183b69b36f0bcd161e387d3f20b9514f3cce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5CYIATHDLRXUJEGBHQO6RJYOO6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Robust Audio Deepfake Detection: A Evolving Benchmark for Continual Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Jiangyan Yi, Jianhua Tao, Xiaohui Zhang","submitted_at":"2024-05-14T13:37:13Z","abstract_excerpt":"The rise of advanced large language models such as GPT-4, GPT-4o, and the Claude family has made fake audio detection increasingly challenging. Traditional fine-tuning methods struggle to keep pace with the evolving landscape of synthetic speech, necessitating continual learning approaches that can adapt to new audio while retaining the ability to detect older types. Continual learning, which acts as an effective tool for detecting newly emerged deepfake audio while maintaining performance on older types, lacks a well-constructed and user-friendly evaluation framework. To address this gap, we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.08596","kind":"arxiv","version":3},"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/2405.08596/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":"2026-07-05T08:54:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d0+B3cxMhvO8EpAXVbW1EJZdUT5K/D/+/4qDBTlPuZzdhh6VziGSTGJ+fHuW/uaAe8z/LaVAm7dsUCsAQWQ+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:09:08.337472Z"},"content_sha256":"24102175cb882496aa6c20fc3eda31fce79a2a4faa7609bfc23d2ff3f4804b34","schema_version":"1.0","event_id":"sha256:24102175cb882496aa6c20fc3eda31fce79a2a4faa7609bfc23d2ff3f4804b34"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5CYIATHDLRXUJEGBHQO6RJYOO6/bundle.json","state_url":"https://pith.science/pith/5CYIATHDLRXUJEGBHQO6RJYOO6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5CYIATHDLRXUJEGBHQO6RJYOO6/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":"2026-08-19T14:09:08Z","links":{"resolver":"https://pith.science/pith/5CYIATHDLRXUJEGBHQO6RJYOO6","bundle":"https://pith.science/pith/5CYIATHDLRXUJEGBHQO6RJYOO6/bundle.json","state":"https://pith.science/pith/5CYIATHDLRXUJEGBHQO6RJYOO6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5CYIATHDLRXUJEGBHQO6RJYOO6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5CYIATHDLRXUJEGBHQO6RJYOO6","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":"7a0cff46388faf034bdd4726351f403f0a2234941ae73cc49b99d3c86cdb627a","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-14T13:37:13Z","title_canon_sha256":"57b9a4a38689cd4519134fa4430236d69f0a961a40043bbe460c044ade792df4"},"schema_version":"1.0","source":{"id":"2405.08596","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.08596","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2405.08596v3","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.08596","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"5CYIATHDLRXU","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"5CYIATHDLRXUJEGB","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"5CYIATHD","created_at":"2026-07-05T08:54:50Z"}],"graph_snapshots":[{"event_id":"sha256:24102175cb882496aa6c20fc3eda31fce79a2a4faa7609bfc23d2ff3f4804b34","target":"graph","created_at":"2026-07-05T08:54:50Z","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/2405.08596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rise of advanced large language models such as GPT-4, GPT-4o, and the Claude family has made fake audio detection increasingly challenging. Traditional fine-tuning methods struggle to keep pace with the evolving landscape of synthetic speech, necessitating continual learning approaches that can adapt to new audio while retaining the ability to detect older types. Continual learning, which acts as an effective tool for detecting newly emerged deepfake audio while maintaining performance on older types, lacks a well-constructed and user-friendly evaluation framework. To address this gap, we ","authors_text":"Jiangyan Yi, Jianhua Tao, Xiaohui Zhang","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-14T13:37:13Z","title":"Towards Robust Audio Deepfake Detection: A Evolving Benchmark for Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.08596","kind":"arxiv","version":3},"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:dca16d3dc9aaab8f2da4db772e84183b69b36f0bcd161e387d3f20b9514f3cce","target":"record","created_at":"2026-07-05T08:54:50Z","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":"7a0cff46388faf034bdd4726351f403f0a2234941ae73cc49b99d3c86cdb627a","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-05-14T13:37:13Z","title_canon_sha256":"57b9a4a38689cd4519134fa4430236d69f0a961a40043bbe460c044ade792df4"},"schema_version":"1.0","source":{"id":"2405.08596","kind":"arxiv","version":3}},"canonical_sha256":"e8b0804ce35c6f4490c13c1de8a70e77a11d86da41448684305359ccd4716d67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8b0804ce35c6f4490c13c1de8a70e77a11d86da41448684305359ccd4716d67","first_computed_at":"2026-07-05T08:54:50.828840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:50.828840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FECohDbwjdW9EzyjETlwUoIE+ZF2aGN02k0Ef7snEurgA+yIu+7nJEefcDS0VJ/WkdM5V9Mg8o7Bly2kFjQlBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:50.829295Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.08596","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dca16d3dc9aaab8f2da4db772e84183b69b36f0bcd161e387d3f20b9514f3cce","sha256:24102175cb882496aa6c20fc3eda31fce79a2a4faa7609bfc23d2ff3f4804b34"],"state_sha256":"fb5991adc65eb8b7984d60055fe6adfea011a5dc8555f730fa104bb77da1504a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VOYoTfrbLsZS6h5JmNGc7nzesc0ZlKCdP6W2Rg8B2f6xE44WCOOBShVoLhJ6dPDRxNk/jxMUxzmQNrRgG53WBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T14:09:08.342194Z","bundle_sha256":"fc547cfe1b37c4e3ddb8023df36021d85dd831487a7397f1f423f7b013e8917b"}}