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Paper Citation Record · LEDGER

Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems

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.

pith.paper-citation-record.v1
2509.09204 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:20.032674Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:19.845568Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 9787d61d-9a3c-45ab-8116-b09ea132943a · outbound

This paper cites Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems.

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

This paper cites Despite this limita- tion, previous work [9,12,16] still merges synthesizer subsets into a single test set (e.g.

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

This paper cites 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.

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

This paper cites Our approach demon- strates greater robustness and interpretability compared to traditional evaluation methods.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-04T19:37:19.870523Z digest=sha256:ac9651477bfd80421528ac680a3e8d0f9d1514afaae93548879c66e378a12c1f

Observation 35971a4a-3dd2-4fe1-952b-dfb13ec0de07 · outbound

This paper cites In-The-Wild [25] is not included in the spoof test subsets as it uses unknown number of synthesizers.

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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source=pdf_text observed=2026-08-04T19:37:19.875469Z digest=sha256:cfb02ef3b13009e4e1d2c03f9632292372ce6b003c21946da3b5aa821dc6e76a

Observation 4ab79dc5-985b-4dea-b109-8e2083bd2c73 · outbound

This paper cites As shown in Figure 2, all models perform well in datasets created in or before 2022.

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

This paper cites 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.

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

This paper cites an unresolved cited work.

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

This paper cites Robust audio deep- fake detection using ensemble confidence calibration,.

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

This paper cites Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,.

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

This paper cites MLAAD: The Multi-Language Audio Anti-Spoofing Dataset.

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

This paper cites CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems.

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

This paper cites Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,.

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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source=pdf_text observed=2026-08-04T19:37:19.913987Z digest=sha256:c864e0bc923ba90d14b14351f74fae8d84c757c48e368ff91da18b4e0252a5d5

Observation a04ea983-ab43-4522-9a52-858bfb5a9f92 · outbound

This paper cites Emofake: An initial dataset for emotion fake audio detection,.

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

This paper cites A method of estimating the equal error rate for automatic speaker verification,.

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

This paper cites Learning a self- supervised domain-invariant feature representation for general- ized audio deepfake detection,.

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

This paper cites A conformer-based classifier for variable-length utterance pro- cessing in anti-spoofing,.

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

This paper cites Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing.

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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source=pdf_text observed=2026-08-04T19:37:19.935874Z digest=sha256:e884220e12fa4836334c1b7eb3e0b4936edeb5ff502ca8cb41f66dc6e086e531

Observation 19937532-bc85-40be-9541-54070cc79a19 · outbound

This paper cites Beyond Silence: Bias Analysis through Loss and Asymmetric Approach in Audio Anti-Spoofing.

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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source=pdf_text observed=2026-08-04T19:37:19.940817Z digest=sha256:5e518cbbfe0764d4111bf7f2a74e0b89f19fd9005697a9720931522fae6a6d26

Observation 4641ff93-3d4a-4de0-93a3-5f11e07fd094 · outbound

This paper cites Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection.

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

This paper cites Data Quality as Predictor of Voice Anti-Spoofing Generalization.

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

This paper cites Maxi- mum error modeling for fault-tolerant computation using maxi- mum a posteriori (map) hypothesis,.

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

This paper cites A survey of emerging threats in cybersecurity,.

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

This paper cites Balance, mul- tiple augmentation, and re-synthesis: A triad training strategy for enhanced audio deepfake detection,.

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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source=pdf_text observed=2026-08-04T19:37:19.964456Z digest=sha256:78da2b1d2ae011c7294aebec312182ad9540e8d5284f0b60df0ba93a4b1688d8

Observation d1043bfd-04f7-422c-9eef-2e3c24205464 · outbound

This paper cites Iso/iec 30107: Information technology — biometric presentation attack detection,.

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

This paper cites Range-Based Equal Error Rate for Spoof Localization.

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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source=pdf_text observed=2026-08-04T19:37:19.972935Z digest=sha256:f4f8c750d82943ff47a5ad76e21537a16ab48724fa4e7401c124ba0ee69cbcf5

Observation fda816b9-700b-407e-a6a0-9f9ff500f17e · outbound

This paper cites ASVspoof 2015: the First Auto- matic Speaker Verification Spoofing and Countermeasures Chal- lenge,.

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

This paper cites A practical guide to logical access voice presentation attack detection,.

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

This paper cites The ami meeting corpus: A pre-announcement,.

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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source=pdf_text observed=2026-08-04T19:37:19.986677Z digest=sha256:0e14f543c0f3f763aca2d149abdb4d8ac4572127e8ebc1c3b53bb7c4837335a8

Observation 6e24cd58-4836-4cc1-8017-4d659d11411c · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

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

This paper cites Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),.

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

This paper cites FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset.

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

This paper cites Does audio deepfake detection generalize?.

Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems Does audio deepfake detection generalize?

Reference 35

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source=pdf_text observed=2026-08-04T19:37:20.004103Z digest=sha256:90cf61ffe3c8843c4feac85b99ede93309bb2d8d7869d37df365679d719e8f00

Observation a1c9c1b0-dd7d-46e4-b8cd-8f37ad2239e2 · outbound

This paper cites Av-deepfake1m: A large-scale llm-driven audio- visual deepfake dataset,.

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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source=pdf_text observed=2026-08-04T19:37:20.008461Z digest=sha256:51df25b4006715c00e8565fabe24edd78a5f314f7e808fa82a012552a1a7ecbd

Observation 625d0e0e-ebf1-4939-9422-06beeb87ac0f · outbound

This paper cites LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation.

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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source=pdf_text observed=2026-08-04T19:37:20.013526Z digest=sha256:f9498acba2e919928912d88e74abb9e38f0429e9aae9bf400e8393bded5aa1e4

Observation 33c8517f-fdd6-4482-b942-b1df29a0b323 · outbound

This paper cites Continual Learning Optimizations for Auto-regressive Decoder of Multilingual ASR systems.

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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source=pdf_text observed=2026-08-04T19:37:20.018441Z digest=sha256:e427bfd22bb5f5ea84940fbf6d87141d1b802fa0bcbb1b11767c7a94f1c4e774

Observation f21fd9cf-646f-4557-bc3c-7db76dac2d92 · outbound

This paper cites Continual learning with embedding layer surgery and task- wise beam search using whisper,.

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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source=pdf_text observed=2026-08-04T19:37:20.023042Z digest=sha256:8c2b1a55f2b40b3b6fd450334bfa5ba4897e8489d53ace9995e64ee20e1e5842

Observation 2cf85bad-79e1-4ec3-b1e6-7086f1eadd6b · outbound

This paper cites Asr model adaptation for rare words using synthetic data generated by multiple text- to-speech systems,.

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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source=pdf_text observed=2026-08-04T19:37:20.028504Z digest=sha256:90c0e800d12771c522c5ff635b407b2e40d0ec8dae56ddd278e232a545ccac57

Observation 41b657f4-015d-434b-b217-61c7c4443fe8 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning for Speech Recognition.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T19:37:20.032674Z digest=sha256:e8b25d08b20dd452a5777ff4d4b5d2bd476c8d6e11ef01dfc16c14190360b38c

Pith citing papers

Observation 9787d61d-9a3c-45ab-8116-b09ea132943a · inbound

Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems cites this paper.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T19:37:19.845568Z digest=sha256:7247b31603dae4cbf0d5c8cf225ccedf0534abee8d4b62b4ea74c5a5fe03186c

Observation bc341901-0631-4f9d-9ce5-1309c2066c54 · inbound

Teffic-Audio: Tell Fact from Fiction cites this paper.

Teffic-Audio: Tell Fact from Fiction Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems

Reference 32

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no resolver link, observed 2026-07-31T10:28:23.243141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T10:28:23.243141Z digest=sha256:bf0dc6c01d3fa4bffc620f1998007bc4c0463acef895eda58f858869d05c1d9e