Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T17:37:37.890872Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2603.22590.
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 2026-08-02T17:37:37.890872Z
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 2026-08-02T17:37:37.487943Z
A source-named dated measurement, never combined with another source.
Source: cited_works
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0b490e35-f537-4430-b005-8eec12e22853 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Unresolved cited work
Reference 1
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Observation 8e7097d9-cdf1-4475-aeb4-fd5373e59d1a · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks
Reference 2
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Observation 965bd0db-da51-40d1-b636-81ec5e24f9a2 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks We leverage this via a lightweight detection mecha- nism based on transcription consistency across precision modes
Reference 3
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Observation 38316c95-3149-4ebc-86e6-f3c3f8f7c9f9 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Our adversarial attack imple- mentation follows [26], and all models and hyperparameters are available in our repository:https://github.com/ blindconf/multi_precision_fusion
Reference 4
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Observation 543cb411-2e85-4545-8e9c-433e4074765c · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Unresolved cited work
Reference 5
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Observation 9966ff38-f81c-497a-aa53-3d89052d628f · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Automatic speech recog- nition using advanced deep learning approaches: A survey,
Reference 6
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Observation e5131fd4-b205-4423-9ef9-ea2c51844180 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks The analysis of transformer end-to- end model in real-time interactive scene based on speech recog- nition technology,
Reference 7
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Observation 42797114-6e61-4192-9441-622bbedd73d8 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks A convolutional neural network-based speech recognition system for autonomous driving,
Reference 8
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Observation 194f1a96-8f2d-47d9-aae9-81308d458029 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Im- proved healthcare diagnosis accuracy through the application of deep learning techniques in medical transcription for disease iden- tification,
Reference 9
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Observation 53b7168e-93c9-4be8-b7c8-b0108cfe3a12 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Multimed: Multilingual medical speech recognition via attention encoder decoder,
Reference 10
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Observation 2d7716d0-e9bc-4a6f-a575-ba1dc90cfd8a · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Sirenattack: Generating adversarial audio for end-to-end acoustic systems,
Reference 11
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Observation b36586f4-1a1c-4d49-9446-6369c99cfab1 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Explaining and har- nessing adversarial examples,
Reference 12
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Observation 21b7634d-3d9b-4731-a9a1-e998316f0301 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Audio adversarial examples: Targeted attacks on speech-to-text,
Reference 13
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Observation 8a0b28cf-d6d4-4fb1-80b3-b991e0b0619c · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Im- perceptible, robust, and targeted adversarial examples for auto- matic speech recognition,
Reference 14
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Unavailable: canonical work link unavailable.
Observation ea1fbd2d-d9ee-453a-82e5-ab35f93283c4 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Ad- versarial attacks against automatic speech recognition systems via psychoacoustic hiding,
Reference 15
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Observation 088593e2-59b5-4a75-912b-32e6cd04e77e · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Robustifying auto- matic speech recognition by extracting slowly varying features,
Reference 16
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Observation 22d6567c-748a-403e-b581-6da42771e940 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Waveguard: Understanding and mitigating audio adversarial examples,
Reference 17
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Observation 5dc27eda-cd7a-4e9d-8451-a01fcb20cb76 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Towards Deep Learning Models Resistant to Adversarial At- tacks,
Reference 18
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Observation b4d04c61-92ca-491c-9ac3-b2f0296ac1fa · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Dompteur: Taming Audio Adversarial Examples,
Reference 19
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Observation 904d59e0-c8da-4507-ab26-b8e552d13fa2 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks The Limitations of Adversarial Training and the Blind- Spot Attack,
Reference 20
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Observation 2d22b893-22c0-4e18-9d08-a144c15afc7e · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Defending against Adversarial Audio via Diffusion Model,
Reference 21
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Observation 15e97e52-9865-4b2a-8710-fe277efe5ad8 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition,
Reference 22
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Observation b7a478fc-17d4-4dfc-a20f-9c14d407a254 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Detect- ing Adversarial Examples for Speech Recognition via Uncertainty Quantification,
Reference 23
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Observation f4375551-16d7-4283-97f4-4de8ac2e4b9d · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks DistriBlock: Identify- ing adversarial audio samples by leveraging characteristics of the output distribution,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 26b78182-3af5-407a-9dbc-1af9d0f0236a · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Characterizing Audio Adversarial Examples Using Temporal Dependency,
Reference 25
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Observation 4c8c60bd-aa76-4416-b928-2101e9047349 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Generating Robust Audio Adversarial Examples with Temporal Dependency,
Reference 26
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Unavailable: canonical work link unavailable.
Observation f5a35c13-1677-4575-af58-cb0efe800546 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Unresolved cited work
Reference 27
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Observation 559dcdd3-90b6-4824-82d9-7bca98c3b9b4 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Lib- rispeech: an ASR corpus based on public domain audio books,
Reference 28
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Observation d83145e7-3b21-4667-9bdb-3926d77ce182 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks [Online]
Reference 29
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Observation 454b527f-5d4c-40d8-9393-66e7dde3e883 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks NVIDIA cuDNN Frontend API Documentation,
Reference 30
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Observation afaf2b70-4a62-4277-861e-fababfc6336f · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Numerical behavior of nvidia tensor cores,
Reference 31
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Observation 200cc405-dbc6-4f82-bb89-e7455c2ed346 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Recent improvements of ASR models in the face of adversarial attacks,
Reference 32
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Observation d4d3ea68-d443-4092-9532-321246a79cd2 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks SpeechBrain: A General-Purpose Speech Toolkit
Reference 33
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Observation 11837547-d597-4530-b90e-c4c7a970b613 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks A guided tour to approximate string matching,
Reference 34
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Observation 06d49359-64a7-49d5-913c-66d989d2a0fb · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Represen- tations,
Reference 35
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Observation 546971dc-9846-4483-bc5d-f38d36c5d13c · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,
Reference 36
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Observation f62a3488-8fff-45ce-a4b8-cf1f65912386 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,
Reference 37
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Observation c017a841-d67d-4cc3-807f-e5e1ba6dfbfd · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Transformers: State-of- the-Art Natural Language Processing,
Reference 38
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Observation 4f7217ea-73df-4e10-b2b4-c34e241dd566 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Robust speech recognition via large-scale weak supervision,
Reference 39
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Observation 6d7a25d2-d542-40f4-971a-ed85346e70a8 · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Evaluation of a segmental SNR measure as an indicator of the quality of ADPCM coded speech,
Reference 41
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Observation 7f421410-432c-42d7-825c-a8366bb01e9e · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Comparative study on noise-augmented training and its effect on adversarial robustness in ASR systems,
Reference 42
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Observation 8aadc2a9-060a-41bc-82b1-fdfee1eb3b1a · outbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Available: https://docs.pytorch.org/docs/stable/ amp.html#autocast-op-reference
Reference 2026
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Observation 8e7097d9-cdf1-4475-aeb4-fd5373e59d1a · inbound
Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks
Reference 2
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