{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TWHPHOOR72P7L3DEXIA7JQKGVW","short_pith_number":"pith:TWHPHOOR","canonical_record":{"source":{"id":"2509.21597","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-09-25T21:09:40Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"d49a694b63436d7c8de22dac4498dc54ed50bfc73fc157a5e4e66c8e642da6b5","abstract_canon_sha256":"2e0386946f5cbe84cce480ec7e9e35996b33e6d45a2f8e076fdaf0efdea4255b"},"schema_version":"1.0"},"canonical_sha256":"9d8ef3b9d1fe9ff5ec64ba01f4c146adb6f1e8dd90e9ebd537e59d5d22874fa7","source":{"kind":"arxiv","id":"2509.21597","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.21597","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"arxiv_version","alias_value":"2509.21597v2","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.21597","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"pith_short_12","alias_value":"TWHPHOOR72P7","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"pith_short_16","alias_value":"TWHPHOOR72P7L3DE","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"pith_short_8","alias_value":"TWHPHOOR","created_at":"2026-06-04T01:09:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TWHPHOOR72P7L3DEXIA7JQKGVW","target":"record","payload":{"canonical_record":{"source":{"id":"2509.21597","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-09-25T21:09:40Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"d49a694b63436d7c8de22dac4498dc54ed50bfc73fc157a5e4e66c8e642da6b5","abstract_canon_sha256":"2e0386946f5cbe84cce480ec7e9e35996b33e6d45a2f8e076fdaf0efdea4255b"},"schema_version":"1.0"},"canonical_sha256":"9d8ef3b9d1fe9ff5ec64ba01f4c146adb6f1e8dd90e9ebd537e59d5d22874fa7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:38.511748Z","signature_b64":"MUfm9gm957Yz3qCXhUWoijGFu7CXB8pcV/q92z4d1T+LJhUQB17DvoMkBcRClgq2t2i5Oszu6Wplasc9mWUuAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d8ef3b9d1fe9ff5ec64ba01f4c146adb6f1e8dd90e9ebd537e59d5d22874fa7","last_reissued_at":"2026-06-04T01:09:38.511125Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:38.511125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.21597","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":"2026-06-04T01:09:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5V4jyPEfmHXLfq+5sig+AIMebBU3HV4WP/qvlmAEHYupKkEB+phIBz7xCTJUmAprW7siJAjsL1HVEnDDaABcCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T02:47:19.221679Z"},"content_sha256":"3001e1695bb4f2c838a4fa384ac476131fd7849ccdfa77358129357faa048e35","schema_version":"1.0","event_id":"sha256:3001e1695bb4f2c838a4fa384ac476131fd7849ccdfa77358129357faa048e35"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TWHPHOOR72P7L3DEXIA7JQKGVW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"eess.AS","authors_text":"Arthur Pimentel, Heitor R. Guimar\\~aes, Tiago Falk, Yi Zhu","submitted_at":"2025-09-25T21:09:40Z","abstract_excerpt":"With the prevalence of artificial intelligence (AI)-generated content, such as audio deepfakes, a large body of recent work has focused on developing deepfake detection techniques. However, existing benchmarks employ a narrow set of datasets, leaving detector generalization to real-world conditions uncertain. In this paper, we systematically review 31 existing audio deepfake datasets and present an open-source benchmarking toolkit called AUDDT (https://github.com/MuSAELab/AUDDT). The goal of this toolkit is to automate the evaluation of pretrained detectors across a wide range of speech and no"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.21597","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/2509.21597/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":"2026-06-04T01:09:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6DZxHAwpZNmRAEOaO+GLPCStMjCXk+AHuwhNcO+TaK5jh4QgOmsv1kMZDK5LeXfOhg0aDAom+6Bk/jBJ3Bx8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T02:47:19.222345Z"},"content_sha256":"bed9da00901a848363d46bee01ea7392a4f93d7e0f3b2fdf6aa8bfdaa6667c23","schema_version":"1.0","event_id":"sha256:bed9da00901a848363d46bee01ea7392a4f93d7e0f3b2fdf6aa8bfdaa6667c23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TWHPHOOR72P7L3DEXIA7JQKGVW/bundle.json","state_url":"https://pith.science/pith/TWHPHOOR72P7L3DEXIA7JQKGVW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TWHPHOOR72P7L3DEXIA7JQKGVW/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":"2026-06-06T02:47:19Z","links":{"resolver":"https://pith.science/pith/TWHPHOOR72P7L3DEXIA7JQKGVW","bundle":"https://pith.science/pith/TWHPHOOR72P7L3DEXIA7JQKGVW/bundle.json","state":"https://pith.science/pith/TWHPHOOR72P7L3DEXIA7JQKGVW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TWHPHOOR72P7L3DEXIA7JQKGVW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TWHPHOOR72P7L3DEXIA7JQKGVW","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":"2e0386946f5cbe84cce480ec7e9e35996b33e6d45a2f8e076fdaf0efdea4255b","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-09-25T21:09:40Z","title_canon_sha256":"d49a694b63436d7c8de22dac4498dc54ed50bfc73fc157a5e4e66c8e642da6b5"},"schema_version":"1.0","source":{"id":"2509.21597","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.21597","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"arxiv_version","alias_value":"2509.21597v2","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.21597","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"pith_short_12","alias_value":"TWHPHOOR72P7","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"pith_short_16","alias_value":"TWHPHOOR72P7L3DE","created_at":"2026-06-04T01:09:38Z"},{"alias_kind":"pith_short_8","alias_value":"TWHPHOOR","created_at":"2026-06-04T01:09:38Z"}],"graph_snapshots":[{"event_id":"sha256:bed9da00901a848363d46bee01ea7392a4f93d7e0f3b2fdf6aa8bfdaa6667c23","target":"graph","created_at":"2026-06-04T01:09:38Z","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/2509.21597/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the prevalence of artificial intelligence (AI)-generated content, such as audio deepfakes, a large body of recent work has focused on developing deepfake detection techniques. However, existing benchmarks employ a narrow set of datasets, leaving detector generalization to real-world conditions uncertain. In this paper, we systematically review 31 existing audio deepfake datasets and present an open-source benchmarking toolkit called AUDDT (https://github.com/MuSAELab/AUDDT). The goal of this toolkit is to automate the evaluation of pretrained detectors across a wide range of speech and no","authors_text":"Arthur Pimentel, Heitor R. Guimar\\~aes, Tiago Falk, Yi Zhu","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-09-25T21:09:40Z","title":"AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.21597","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":"sha256:3001e1695bb4f2c838a4fa384ac476131fd7849ccdfa77358129357faa048e35","target":"record","created_at":"2026-06-04T01:09:38Z","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":"2e0386946f5cbe84cce480ec7e9e35996b33e6d45a2f8e076fdaf0efdea4255b","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-09-25T21:09:40Z","title_canon_sha256":"d49a694b63436d7c8de22dac4498dc54ed50bfc73fc157a5e4e66c8e642da6b5"},"schema_version":"1.0","source":{"id":"2509.21597","kind":"arxiv","version":2}},"canonical_sha256":"9d8ef3b9d1fe9ff5ec64ba01f4c146adb6f1e8dd90e9ebd537e59d5d22874fa7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d8ef3b9d1fe9ff5ec64ba01f4c146adb6f1e8dd90e9ebd537e59d5d22874fa7","first_computed_at":"2026-06-04T01:09:38.511125Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:38.511125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MUfm9gm957Yz3qCXhUWoijGFu7CXB8pcV/q92z4d1T+LJhUQB17DvoMkBcRClgq2t2i5Oszu6Wplasc9mWUuAA==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:38.511748Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.21597","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3001e1695bb4f2c838a4fa384ac476131fd7849ccdfa77358129357faa048e35","sha256:bed9da00901a848363d46bee01ea7392a4f93d7e0f3b2fdf6aa8bfdaa6667c23"],"state_sha256":"fa1219ebdfaa20562ede047a4b9150af6c0c7abbe9388a35c49efd27a14d37fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YhxwqHlgcmUonV/xsWt3jUB55etbiQucIFlM0TbGUUdv1Uoef+bzGFoFEPJWZVtsZRczN9SGi46uf4UdbI5SBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T02:47:19.225577Z","bundle_sha256":"8feed979d23019f4c1a642544558b39ed30509f22e0edc84dd4e09b9019f5362"}}