{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SFQM7E335PYXIYYSZKTELEOCUH","short_pith_number":"pith:SFQM7E33","canonical_record":{"source":{"id":"2503.18032","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-03-23T11:15:22Z","cross_cats_sorted":["cs.CV","cs.MM"],"title_canon_sha256":"a9603e53f2345d33abef9a49182d94f427269e182bb0960c4d165f0609a75656","abstract_canon_sha256":"632d07905e7dc5e0644cee4e6ff064bb0813c8ee5ac587f7317fb978fa310e85"},"schema_version":"1.0"},"canonical_sha256":"9160cf937bebf1746312caa64591c2a1d7a43dc0a85bf7d3c0006cc99aa769b1","source":{"kind":"arxiv","id":"2503.18032","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.18032","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"arxiv_version","alias_value":"2503.18032v1","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.18032","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"pith_short_12","alias_value":"SFQM7E335PYX","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"pith_short_16","alias_value":"SFQM7E335PYXIYYS","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"pith_short_8","alias_value":"SFQM7E33","created_at":"2026-07-05T10:38:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SFQM7E335PYXIYYSZKTELEOCUH","target":"record","payload":{"canonical_record":{"source":{"id":"2503.18032","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-03-23T11:15:22Z","cross_cats_sorted":["cs.CV","cs.MM"],"title_canon_sha256":"a9603e53f2345d33abef9a49182d94f427269e182bb0960c4d165f0609a75656","abstract_canon_sha256":"632d07905e7dc5e0644cee4e6ff064bb0813c8ee5ac587f7317fb978fa310e85"},"schema_version":"1.0"},"canonical_sha256":"9160cf937bebf1746312caa64591c2a1d7a43dc0a85bf7d3c0006cc99aa769b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:38:00.976843Z","signature_b64":"xSLsykOCQJBocNJuWnH/t05m29obr69FdfieMvETcwzp7uYz5ZneS/yKsM0hk4jwtdky+sGlvtNeEEVV49KOBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9160cf937bebf1746312caa64591c2a1d7a43dc0a85bf7d3c0006cc99aa769b1","last_reissued_at":"2026-07-05T10:38:00.976130Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:38:00.976130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.18032","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":"2026-07-05T10:38:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s2e69whFUOnUEqmr48LECa1QDQVklzLZvEi2Ac+/Bz3btsOs8nxbrt7Uht94CmXJ6tpXF8CyEpWGo43avV3qDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:55:50.579184Z"},"content_sha256":"e86439707381ea35c92f57ea60f77ad12e8dda5cce98d3798c29804033cd1f76","schema_version":"1.0","event_id":"sha256:e86439707381ea35c92f57ea60f77ad12e8dda5cce98d3798c29804033cd1f76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SFQM7E335PYXIYYSZKTELEOCUH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.MM"],"primary_cat":"cs.SD","authors_text":"Daniele Ugo Leonzio, Davide Salvi, Emma Coletta, Paolo Bestagini, Viola Negroni","submitted_at":"2025-03-23T11:15:22Z","abstract_excerpt":"The rise of AI-driven generative models has enabled the creation of highly realistic speech deepfakes - synthetic audio signals that can imitate target speakers' voices - raising critical security concerns. Existing methods for detecting speech deepfakes primarily rely on supervised learning, which suffers from two critical limitations: limited generalization to unseen synthesis techniques and a lack of explainability. In this paper, we address these issues by introducing a novel interpretable one-class detection framework, which reframes speech deepfake detection as an anomaly detection task."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.18032","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/2503.18032/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":"2026-07-05T10:38:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2g59vGkHV5nhWvYvfjXN12hY3qTxD6MQH1c9K48CElWou1Fe5DUiDJLHRtRu6aepJp7AUXxUD4n8O72rGyF2Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:55:50.579682Z"},"content_sha256":"000207b4a80e8f0353130d3bef24dfacde27b63b57a9097070dc9548abdbbea4","schema_version":"1.0","event_id":"sha256:000207b4a80e8f0353130d3bef24dfacde27b63b57a9097070dc9548abdbbea4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SFQM7E335PYXIYYSZKTELEOCUH/bundle.json","state_url":"https://pith.science/pith/SFQM7E335PYXIYYSZKTELEOCUH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SFQM7E335PYXIYYSZKTELEOCUH/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":"2026-08-09T05:55:50Z","links":{"resolver":"https://pith.science/pith/SFQM7E335PYXIYYSZKTELEOCUH","bundle":"https://pith.science/pith/SFQM7E335PYXIYYSZKTELEOCUH/bundle.json","state":"https://pith.science/pith/SFQM7E335PYXIYYSZKTELEOCUH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SFQM7E335PYXIYYSZKTELEOCUH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SFQM7E335PYXIYYSZKTELEOCUH","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":"632d07905e7dc5e0644cee4e6ff064bb0813c8ee5ac587f7317fb978fa310e85","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-03-23T11:15:22Z","title_canon_sha256":"a9603e53f2345d33abef9a49182d94f427269e182bb0960c4d165f0609a75656"},"schema_version":"1.0","source":{"id":"2503.18032","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.18032","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"arxiv_version","alias_value":"2503.18032v1","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.18032","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"pith_short_12","alias_value":"SFQM7E335PYX","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"pith_short_16","alias_value":"SFQM7E335PYXIYYS","created_at":"2026-07-05T10:38:00Z"},{"alias_kind":"pith_short_8","alias_value":"SFQM7E33","created_at":"2026-07-05T10:38:00Z"}],"graph_snapshots":[{"event_id":"sha256:000207b4a80e8f0353130d3bef24dfacde27b63b57a9097070dc9548abdbbea4","target":"graph","created_at":"2026-07-05T10:38:00Z","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/2503.18032/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rise of AI-driven generative models has enabled the creation of highly realistic speech deepfakes - synthetic audio signals that can imitate target speakers' voices - raising critical security concerns. Existing methods for detecting speech deepfakes primarily rely on supervised learning, which suffers from two critical limitations: limited generalization to unseen synthesis techniques and a lack of explainability. In this paper, we address these issues by introducing a novel interpretable one-class detection framework, which reframes speech deepfake detection as an anomaly detection task.","authors_text":"Daniele Ugo Leonzio, Davide Salvi, Emma Coletta, Paolo Bestagini, Viola Negroni","cross_cats":["cs.CV","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-03-23T11:15:22Z","title":"Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.18032","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:e86439707381ea35c92f57ea60f77ad12e8dda5cce98d3798c29804033cd1f76","target":"record","created_at":"2026-07-05T10:38:00Z","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":"632d07905e7dc5e0644cee4e6ff064bb0813c8ee5ac587f7317fb978fa310e85","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-03-23T11:15:22Z","title_canon_sha256":"a9603e53f2345d33abef9a49182d94f427269e182bb0960c4d165f0609a75656"},"schema_version":"1.0","source":{"id":"2503.18032","kind":"arxiv","version":1}},"canonical_sha256":"9160cf937bebf1746312caa64591c2a1d7a43dc0a85bf7d3c0006cc99aa769b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9160cf937bebf1746312caa64591c2a1d7a43dc0a85bf7d3c0006cc99aa769b1","first_computed_at":"2026-07-05T10:38:00.976130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:38:00.976130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xSLsykOCQJBocNJuWnH/t05m29obr69FdfieMvETcwzp7uYz5ZneS/yKsM0hk4jwtdky+sGlvtNeEEVV49KOBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:38:00.976843Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.18032","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e86439707381ea35c92f57ea60f77ad12e8dda5cce98d3798c29804033cd1f76","sha256:000207b4a80e8f0353130d3bef24dfacde27b63b57a9097070dc9548abdbbea4"],"state_sha256":"49751fad5c247d9b18fe3b591410563a6c94d947d8f6b961c96c7a4705c32d82"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wj/yTS+/CjtJLuBd+wmQoR/l6gW/CMKTD47jn/XyP9FaCUAw1S0t6vjhmOk0eeUg8RTgbz4JZcdv92U/8d3VDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:55:50.583326Z","bundle_sha256":"f6c41af22da0598f7e14af429b7165866d98e9083e4e1c9976fccfc34dd7f723"}}