Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:20.032674Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2509.09204.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:20.032674Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:19.845568Z
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9787d61d-9a3c-45ab-8116-b09ea132943a · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
Reference 1
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Observation c3db7060-36b3-4c75-910f-bf9efaba2d2c · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Despite this limita- tion, previous work [9,12,16] still merges synthesizer subsets into a single test set (e.g
Reference 2
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Observation 5549b5a4-d040-4b5f-90ce-1832c5e098cc · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems No- tably, bona fide speech types contribute significantly to the challenges faced by ADD systems, whereas traditional ap- proaches primarily focus on the synthesizer type
Reference 3
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Observation 66fc658f-7d89-4b9c-8bd2-ff524975b2c0 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Our approach demon- strates greater robustness and interpretability compared to traditional evaluation methods
Reference 4
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Observation e76e2344-e44d-42cd-9df5-655893b0e150 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Unresolved cited work
Reference 5
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Observation 09557d06-8825-42f3-a824-06debfc8474b · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Unresolved cited work
Reference 6
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Observation 35971a4a-3dd2-4fe1-952b-dfb13ec0de07 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems In-The-Wild [25] is not included in the spoof test subsets as it uses unknown number of synthesizers
Reference 7
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Observation 4ab79dc5-985b-4dea-b109-8e2083bd2c73 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems As shown in Figure 2, all models perform well in datasets created in or before 2022
Reference 8
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Observation 8c8a24be-c891-41da-9065-fda01a072c88 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems To support further research, we provide datasets and evaluation codes, aiming to drive the development of more robust and resilient audio deepfake detec- tion models
Reference 9
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Observation cb266d18-cfed-47f7-96f3-eb3dc146ee46 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Unresolved cited work
Reference 10
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Observation 983c3f8f-8b96-48ba-ab00-a01b84ff69e1 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Robust audio deep- fake detection using ensemble confidence calibration,
Reference 11
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Observation 57c075d4-d03b-407c-88ac-655fb15cc580 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,
Reference 12
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Observation f76eaf6c-5b5c-4348-b130-a09db64bd8a7 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 13
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Observation 6824df7e-c28d-4f3f-8f53-165621644c63 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems
Reference 14
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Observation 9fa0cca7-017f-4d7b-8f75-ac1e819c350b · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,
Reference 15
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Observation a04ea983-ab43-4522-9a52-858bfb5a9f92 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Emofake: An initial dataset for emotion fake audio detection,
Reference 16
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Observation 2235a1cd-3eca-4171-b242-f8943ab8e71a · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems A method of estimating the equal error rate for automatic speaker verification,
Reference 17
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Observation ce114f69-56c5-4d09-961f-778545175844 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Learning a self- supervised domain-invariant feature representation for general- ized audio deepfake detection,
Reference 18
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Observation 68abfeae-89c4-48c8-9d4e-bf5ba4ab9eac · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems A conformer-based classifier for variable-length utterance pro- cessing in anti-spoofing,
Reference 19
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Observation 5ead35a1-9cfb-44d6-87eb-578ac5abd107 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing
Reference 20
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Observation 19937532-bc85-40be-9541-54070cc79a19 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Beyond Silence: Bias Analysis through Loss and Asymmetric Approach in Audio Anti-Spoofing
Reference 21
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Observation 4641ff93-3d4a-4de0-93a3-5f11e07fd094 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection
Reference 22
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Observation efd42055-a32a-4f2f-bd0c-fc49fa47825e · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Data Quality as Predictor of Voice Anti-Spoofing Generalization
Reference 23
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Observation 01871008-22a4-4c37-b38d-c67d23532c3b · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Maxi- mum error modeling for fault-tolerant computation using maxi- mum a posteriori (map) hypothesis,
Reference 24
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Observation 988c297d-c9c4-418e-a1f7-3e0986197dd1 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems A survey of emerging threats in cybersecurity,
Reference 25
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Observation 6ef7dfd8-8bd3-4c75-8949-1ebbbb846952 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Balance, mul- tiple augmentation, and re-synthesis: A triad training strategy for enhanced audio deepfake detection,
Reference 26
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Observation d1043bfd-04f7-422c-9eef-2e3c24205464 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Iso/iec 30107: Information technology — biometric presentation attack detection,
Reference 27
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Observation b291277e-0c24-4117-81d5-8050b2b226fb · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Range-Based Equal Error Rate for Spoof Localization
Reference 28
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Observation fda816b9-700b-407e-a6a0-9f9ff500f17e · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems ASVspoof 2015: the First Auto- matic Speaker Verification Spoofing and Countermeasures Chal- lenge,
Reference 29
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Observation 33c443a2-7cb1-4ccc-be87-1d938569869a · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems A practical guide to logical access voice presentation attack detection,
Reference 30
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Observation af7a061a-76c6-4990-b59f-d3f42ca5d335 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems The ami meeting corpus: A pre-announcement,
Reference 31
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Observation 6e24cd58-4836-4cc1-8017-4d659d11411c · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Lib- rispeech: an asr corpus based on public domain audio books,
Reference 32
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Observation 477c57dc-6757-40ba-854e-3bf984d439bc · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),
Reference 33
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Observation d1a5aa87-3247-41c7-9ca1-eedc2355aa1d · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
Reference 34
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Observation 9a4f89a1-ed58-40cc-99d3-9d8587560c1e · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Does audio deepfake detection generalize?
Reference 35
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Observation a1c9c1b0-dd7d-46e4-b8cd-8f37ad2239e2 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Av-deepfake1m: A large-scale llm-driven audio- visual deepfake dataset,
Reference 36
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Observation 625d0e0e-ebf1-4939-9422-06beeb87ac0f · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
Reference 37
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Observation 33c8517f-fdd6-4482-b942-b1df29a0b323 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Continual Learning Optimizations for Auto-regressive Decoder of Multilingual ASR systems
Reference 38
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Observation f21fd9cf-646f-4557-bc3c-7db76dac2d92 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Continual learning with embedding layer surgery and task- wise beam search using whisper,
Reference 39
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Observation 2cf85bad-79e1-4ec3-b1e6-7086f1eadd6b · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Asr model adaptation for rare words using synthetic data generated by multiple text- to-speech systems,
Reference 40
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Observation 41b657f4-015d-434b-b217-61c7c4443fe8 · outbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Unsupervised Cross-lingual Representation Learning for Speech Recognition
Reference 41
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Observation 9787d61d-9a3c-45ab-8116-b09ea132943a · inbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
Reference 1
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Observation bc341901-0631-4f9d-9ce5-1309c2066c54 · inbound
Teffic-Audio: Tell Fact from Fiction Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
Reference 32
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