{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DPIXBEVDXE4O4NRZUL6F3OF7R2","short_pith_number":"pith:DPIXBEVD","canonical_record":{"source":{"id":"2308.11800","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-08-22T21:49:38Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"947869d197d246148218e4e88de57ee3a476de6e7fc75e641611ef9544b7b732","abstract_canon_sha256":"8d3e66c3a2c22ced5ec23724fd83a6866ed9ec51550cff21cd885a072bcdcc53"},"schema_version":"1.0"},"canonical_sha256":"1bd17092a3b938ee3639a2fc5db8bf8ea89a98ea7b7472bbb611a5ef082f0f3a","source":{"kind":"arxiv","id":"2308.11800","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.11800","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"arxiv_version","alias_value":"2308.11800v1","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.11800","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"pith_short_12","alias_value":"DPIXBEVDXE4O","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"pith_short_16","alias_value":"DPIXBEVDXE4O4NRZ","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"pith_short_8","alias_value":"DPIXBEVD","created_at":"2026-07-05T06:43:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DPIXBEVDXE4O4NRZUL6F3OF7R2","target":"record","payload":{"canonical_record":{"source":{"id":"2308.11800","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-08-22T21:49:38Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"947869d197d246148218e4e88de57ee3a476de6e7fc75e641611ef9544b7b732","abstract_canon_sha256":"8d3e66c3a2c22ced5ec23724fd83a6866ed9ec51550cff21cd885a072bcdcc53"},"schema_version":"1.0"},"canonical_sha256":"1bd17092a3b938ee3639a2fc5db8bf8ea89a98ea7b7472bbb611a5ef082f0f3a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:43:55.156356Z","signature_b64":"6b3T564hL/ttm0f2ggaFaNfEgbcXxPSFYDPUPp9H5yk4wGZ29+5fANxmOkJ+02ggLtDAPj7en6uJoZOGRhy7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1bd17092a3b938ee3639a2fc5db8bf8ea89a98ea7b7472bbb611a5ef082f0f3a","last_reissued_at":"2026-07-05T06:43:55.155926Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:43:55.155926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.11800","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":"2026-07-05T06:43:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mkhTy6JBeU+f8VPOFxtmZt2B9/Wnlz35Hq9+ww2A1OCgviZM47kQhH6zwznPd6bJouD0SFzkJGj3DrS8SqqLAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:27:41.477279Z"},"content_sha256":"a5161ada2122cd09f353784f1e63d611628a0e0ee6912d10fe6163e622dfef34","schema_version":"1.0","event_id":"sha256:a5161ada2122cd09f353784f1e63d611628a0e0ee6912d10fe6163e622dfef34"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DPIXBEVDXE4O4NRZUL6F3OF7R2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Complex-valued neural networks for voice anti-spoofing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Konstantin B\\\"ottinger, Nicolas M. M\\\"uller, Philip Sperl","submitted_at":"2023-08-22T21:49:38Z","abstract_excerpt":"Current anti-spoofing and audio deepfake detection systems use either magnitude spectrogram-based features (such as CQT or Melspectrograms) or raw audio processed through convolution or sinc-layers. Both methods have drawbacks: magnitude spectrograms discard phase information, which affects audio naturalness, and raw-feature-based models cannot use traditional explainable AI methods. This paper proposes a new approach that combines the benefits of both methods by using complex-valued neural networks to process the complex-valued, CQT frequency-domain representation of the input audio. This met"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.11800","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/2308.11800/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":"2026-07-05T06:43:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3tnssZENbd1DrIBzgr5HnU2wMaTVwt9NHeeSFx/EshhggvKNoE4fBFDyVn06ximpLSlgRjOugLH6JcY6ZkO5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:27:41.477832Z"},"content_sha256":"01a6289e3ffeb2c3d29831679e0db00ee73acd73612d8f051389e43e541cbfac","schema_version":"1.0","event_id":"sha256:01a6289e3ffeb2c3d29831679e0db00ee73acd73612d8f051389e43e541cbfac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DPIXBEVDXE4O4NRZUL6F3OF7R2/bundle.json","state_url":"https://pith.science/pith/DPIXBEVDXE4O4NRZUL6F3OF7R2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DPIXBEVDXE4O4NRZUL6F3OF7R2/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":"2026-08-08T15:27:41Z","links":{"resolver":"https://pith.science/pith/DPIXBEVDXE4O4NRZUL6F3OF7R2","bundle":"https://pith.science/pith/DPIXBEVDXE4O4NRZUL6F3OF7R2/bundle.json","state":"https://pith.science/pith/DPIXBEVDXE4O4NRZUL6F3OF7R2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DPIXBEVDXE4O4NRZUL6F3OF7R2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DPIXBEVDXE4O4NRZUL6F3OF7R2","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":"8d3e66c3a2c22ced5ec23724fd83a6866ed9ec51550cff21cd885a072bcdcc53","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-08-22T21:49:38Z","title_canon_sha256":"947869d197d246148218e4e88de57ee3a476de6e7fc75e641611ef9544b7b732"},"schema_version":"1.0","source":{"id":"2308.11800","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.11800","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"arxiv_version","alias_value":"2308.11800v1","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.11800","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"pith_short_12","alias_value":"DPIXBEVDXE4O","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"pith_short_16","alias_value":"DPIXBEVDXE4O4NRZ","created_at":"2026-07-05T06:43:55Z"},{"alias_kind":"pith_short_8","alias_value":"DPIXBEVD","created_at":"2026-07-05T06:43:55Z"}],"graph_snapshots":[{"event_id":"sha256:01a6289e3ffeb2c3d29831679e0db00ee73acd73612d8f051389e43e541cbfac","target":"graph","created_at":"2026-07-05T06:43:55Z","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/2308.11800/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current anti-spoofing and audio deepfake detection systems use either magnitude spectrogram-based features (such as CQT or Melspectrograms) or raw audio processed through convolution or sinc-layers. Both methods have drawbacks: magnitude spectrograms discard phase information, which affects audio naturalness, and raw-feature-based models cannot use traditional explainable AI methods. This paper proposes a new approach that combines the benefits of both methods by using complex-valued neural networks to process the complex-valued, CQT frequency-domain representation of the input audio. This met","authors_text":"Konstantin B\\\"ottinger, Nicolas M. M\\\"uller, Philip Sperl","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-08-22T21:49:38Z","title":"Complex-valued neural networks for voice anti-spoofing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.11800","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:a5161ada2122cd09f353784f1e63d611628a0e0ee6912d10fe6163e622dfef34","target":"record","created_at":"2026-07-05T06:43:55Z","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":"8d3e66c3a2c22ced5ec23724fd83a6866ed9ec51550cff21cd885a072bcdcc53","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-08-22T21:49:38Z","title_canon_sha256":"947869d197d246148218e4e88de57ee3a476de6e7fc75e641611ef9544b7b732"},"schema_version":"1.0","source":{"id":"2308.11800","kind":"arxiv","version":1}},"canonical_sha256":"1bd17092a3b938ee3639a2fc5db8bf8ea89a98ea7b7472bbb611a5ef082f0f3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bd17092a3b938ee3639a2fc5db8bf8ea89a98ea7b7472bbb611a5ef082f0f3a","first_computed_at":"2026-07-05T06:43:55.155926Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:43:55.155926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6b3T564hL/ttm0f2ggaFaNfEgbcXxPSFYDPUPp9H5yk4wGZ29+5fANxmOkJ+02ggLtDAPj7en6uJoZOGRhy7BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:43:55.156356Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.11800","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5161ada2122cd09f353784f1e63d611628a0e0ee6912d10fe6163e622dfef34","sha256:01a6289e3ffeb2c3d29831679e0db00ee73acd73612d8f051389e43e541cbfac"],"state_sha256":"bfc4d8c0a83adea5c556218edc83b47b3b0bc33f78db4953df537fdb45ed72b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HQFFQNrl34UJXtkPQDbjZLvzwceAdicZs7smC6gdz3z8tQFU5JZD5K2u1JtZ5Dx7dZ3gCY94wCYseoNkAxLJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:27:41.482992Z","bundle_sha256":"f1eac986b81e76da0a863f315e24757283ad9df18c6286683519f3d08e086526"}}