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Paper Citation Record · LEDGER

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2607.25870.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.25870 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:19:07.656877Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:19:04.458152Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0d74b9f-414d-4249-a27a-adbed8dadea4 · outbound

This paper cites VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment

Reference 1

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source=pdf_text observed=2026-08-01T01:19:04.458152Z digest=sha256:1ac6a759e66a5094015d73c620841be2e5007ff4be783163632c56ee7a7c9145

Observation 8b7791f6-711d-447a-be82-15986f74e5a4 · outbound

This paper cites Model Architecture The kiloV AD architecture is optimized for cross-platform em- bedded support under standard operator constraints.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Model Architecture The kiloV AD architecture is optimized for cross-platform em- bedded support under standard operator constraints

Reference 2

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Observation 31381024-bebd-4248-975a-c148313988fe · outbound

This paper cites an unresolved cited work.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-01T01:19:04.649524Z digest=sha256:cc7a6cf1e4f10344edb748760c3522d910d405b169f517e97aa8c664e755f49d

Observation ba7d1da4-b945-435e-b9b7-bf76b74ba0d8 · outbound

This paper cites This mixture exposes the model to both environmental noise (wind) and diverse acoustic interference (DNS).

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment This mixture exposes the model to both environmental noise (wind) and diverse acoustic interference (DNS)

Reference 4

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source=pdf_text observed=2026-08-01T01:19:04.791307Z digest=sha256:bcc8dff87e6a34576aaaa4f6c7ba7d58104f4ed3974ddb7cf11976725453d2d4

Observation d01f3a1b-9fa5-4c95-ac96-2b2966f1c8ff · outbound

This paper cites an unresolved cited work.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-01T01:19:04.903562Z digest=sha256:83f509479fed2cbf4ad69ff5101b27294c867cb3782dd50fb9f26dd15f25979d

Observation 66aa8f8e-98a8-446f-b5c5-9df3d96b38ee · outbound

This paper cites an unresolved cited work.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-01T01:19:04.983714Z digest=sha256:83ac8350709c0b356cba1033f8e127ee631dd0eae499d2f2a44f859d79b2f7ba

Observation d2a95cd2-683f-43c0-b929-4ad54e949e1b · outbound

This paper cites an unresolved cited work.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Unresolved cited work

Reference 7

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Observation 870c9a74-f40e-49a1-9c22-ed6a18ee34e7 · outbound

This paper cites The authors reviewed and validated all outputs and retain full responsibility for the work presented.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment The authors reviewed and validated all outputs and retain full responsibility for the work presented

Reference 8

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source=pdf_text observed=2026-08-01T01:19:05.247643Z digest=sha256:ae116ac6cf6dd991190fe3ea4ea7fc54bd0f42b51d0b3eede8bb2c0571ffdced

Observation d3c694d5-a059-4985-ad08-cfcc9b5ed281 · outbound

This paper cites Silero vad: Pre-trained enterprise-grade voice activity detector (vad) models,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Silero vad: Pre-trained enterprise-grade voice activity detector (vad) models,

Reference 9

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Observation adc9ae45-5614-4d0c-83f6-fbb4f3981b99 · outbound

This paper cites An efficient transformer-based model for voice activity detection,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment An efficient transformer-based model for voice activity detection,

Reference 10

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Observation f5dcda2a-a1a7-40c4-b5aa-235d66df7d8f · outbound

This paper cites A transformer-based voice activity detector,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment A transformer-based voice activity detector,

Reference 11

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source=pdf_text observed=2026-08-01T01:19:05.432006Z digest=sha256:0e2d337e31e0112af07a94bbd7d914a1e85acc71d6b230d8a265e961c1907d3b

Observation f5ecfa70-1445-4edf-81ea-70e32e580aa6 · outbound

This paper cites Pyannote.audio: Neural building blocks for speaker diarization,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Pyannote.audio: Neural building blocks for speaker diarization,

Reference 12

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source=pdf_text observed=2026-08-01T01:19:05.519817Z digest=sha256:bf58ceff18df58df8fc688b3c9e6f49b78e85b9a3d5dc1b21e5783ad7fa94d5d

Observation 57f57a91-9e9f-49ad-8069-a1a5303c80ad · outbound

This paper cites MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection

Reference 13

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source=pdf_text observed=2026-08-01T01:19:05.613475Z digest=sha256:06060a6090ab0e712320b8c8baf8382a773be8d6117cd6adf54b928037b10dec

Observation 3a491a2a-ffcc-4663-bb42-e8a492127794 · outbound

This paper cites Small-footprint convolutional neural net- work with reduced feature map for voice activity detection,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Small-footprint convolutional neural net- work with reduced feature map for voice activity detection,

Reference 14

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Observation 7c7f35f5-a180-49c6-b2d6-56f0dccd8a09 · outbound

This paper cites SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization

Reference 15

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Observation dd3bcae0-358f-447c-9513-c0fd302b6e01 · outbound

This paper cites Resectnet: An efficient architecture for voice activity detection on mobile devices,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Resectnet: An efficient architecture for voice activity detection on mobile devices,

Reference 16

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Observation 51283cda-7ded-41e8-85c4-acd46b7fd791 · outbound

This paper cites Sg-vad: Stochastic gates based speech activity detection,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Sg-vad: Stochastic gates based speech activity detection,

Reference 17

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source=pdf_text observed=2026-08-01T01:19:05.974392Z digest=sha256:b33a7991b53b6cd5d84cc61571145c9b094f7d98be503e989811d2b6515668fe

Observation 433d4af2-ebda-4602-a0db-b42d8b1d2399 · outbound

This paper cites Atomicvad: A tiny voice activity detection model for efficient inference in intelligent iot systems,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Atomicvad: A tiny voice activity detection model for efficient inference in intelligent iot systems,

Reference 18

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Observation 7dcde86f-1243-4f9c-b643-7b7003469579 · outbound

This paper cites A V A-Speech: A Densely Labeled Dataset of Speech Activity in Movies,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment A V A-Speech: A Densely Labeled Dataset of Speech Activity in Movies,

Reference 19

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source=pdf_text observed=2026-08-01T01:19:06.159892Z digest=sha256:85b00656a7d259ce0d8a8e0a7ca70233a99ed0a55c8918679dd0410d11003f4f

Observation d1f71768-80ff-4cac-b0c8-0d9003e03078 · outbound

This paper cites Accurate and structured pruning for effi- cient automatic speech recognition,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Accurate and structured pruning for effi- cient automatic speech recognition,

Reference 20

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Observation 7fd8c8a4-651e-4553-a0d6-2cd489bbdf1d · outbound

This paper cites Quantization aware training with absolute-cosine regularization for automatic speech recognition,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Quantization aware training with absolute-cosine regularization for automatic speech recognition,

Reference 21

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source=pdf_text observed=2026-08-01T01:19:06.280806Z digest=sha256:c5f20fdfa33e5aca775e0d9ad8a58bc33f0ff7d6b6127a63859e51002ae1c0e6

Observation b3b69b04-ab63-491a-a0cc-f5af4d5bbf07 · outbound

This paper cites Tempo- ral properties of spontaneous speech—a syllable-centric perspec- tive,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Tempo- ral properties of spontaneous speech—a syllable-centric perspec- tive,

Reference 22

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Observation 4cb6af76-88d4-4fda-b08b-43f29469ee81 · outbound

This paper cites Depgraph: Towards any structural pruning,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Depgraph: Towards any structural pruning,

Reference 23

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source=pdf_text observed=2026-08-01T01:19:06.385016Z digest=sha256:e3243d86a483efef6e38e99a090cec8d0b064a8067922142ec57e6fda77ed07c

Observation 4f3acb91-0c43-487c-ba1d-3415ef43316a · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Optuna: A next-generation hyperparameter optimization framework,

Reference 24

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Observation 5b2888f4-704f-4233-893b-9da5b7ee8046 · outbound

This paper cites The High-Dimensional Geometry of Binary Neural Networks.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment The High-Dimensional Geometry of Binary Neural Networks

Reference 25

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Observation 931f7e47-e850-4d08-99d7-410e4f29b9ec · outbound

This paper cites Neural networks weights quantization: Target none-retraining ternary (tnt),.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Neural networks weights quantization: Target none-retraining ternary (tnt),

Reference 26

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source=pdf_text observed=2026-08-01T01:19:06.698932Z digest=sha256:79c69b64b435cfbd07982307a2417ebc8098d4bbeb12f73084397f5cf6b04e11

Observation 01fb534e-7bc5-4e4e-bdbd-79dc90948fab · outbound

This paper cites Feature affinity assisted knowledge distillation and quantization of deep neural networks on label-free data,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Feature affinity assisted knowledge distillation and quantization of deep neural networks on label-free data,

Reference 27

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source=pdf_text observed=2026-08-01T01:19:06.759342Z digest=sha256:eb198c7de9a7f1a56b3768d1bd623e0fb6cd3a46d0716fb578d715af458735c4

Observation 679292bf-e639-4128-8b10-dc653249c1a5 · outbound

This paper cites Sphereface: Deep hypersphere embedding for face recognition,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Sphereface: Deep hypersphere embedding for face recognition,

Reference 28

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source=pdf_text observed=2026-08-01T01:19:06.863846Z digest=sha256:5c9e3462281a329e7f4947baeb2e7f746a7d15c6b0a4241bf49a5c65e944f2d8

Observation 117a609b-a7a5-4df8-b02e-14bde2024766 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recog- nition,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Cosface: Large margin cosine loss for deep face recog- nition,

Reference 29

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source=pdf_text observed=2026-08-01T01:19:06.922461Z digest=sha256:7e464a0fd88e097c8f69ee7fd4d66a4c1d2fe723441a624abcef20a2151b084a

Observation 7b708316-ada2-468c-8e2a-e015183a735f · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Arcface: Additive angular margin loss for deep face recognition,

Reference 30

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source=pdf_text observed=2026-08-01T01:19:06.987127Z digest=sha256:f0904ec2c5e9344efa3ce38d1c30ffef1c75b823ff25d1eeadec279ceb114785

Observation 3281dbd3-71fb-43a1-bc3e-7978dbb0bc98 · outbound

This paper cites Soft-to-hard vector quanti- zation for end-to-end learning compressible representations,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Soft-to-hard vector quanti- zation for end-to-end learning compressible representations,

Reference 31

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source=pdf_text observed=2026-08-01T01:19:07.049523Z digest=sha256:0de51b135115fff5aec6bc12ab1e503528a3bc6e12bd366993a92406b26d82c5

Observation 6eaf9ea5-6d11-41e6-933e-f34c70e67f6a · outbound

This paper cites Quantized neural networks: Training neural networks with low precision weights and activations,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Quantized neural networks: Training neural networks with low precision weights and activations,

Reference 32

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Observation 02f4be56-3cf5-46dc-87d5-e6ab16c5079c · outbound

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

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Lib- rispeech: an asr corpus based on public domain audio books,

Reference 33

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source=pdf_text observed=2026-08-01T01:19:07.260808Z digest=sha256:8626519bba38b83d9fc432cd73c699d3e421d56795610d22dd719e657b23a052

Observation 3edd41a5-84c8-4c5c-a35d-86ad89ab6338 · outbound

This paper cites Simulating wind noise with airflow speed-dependent characteristics,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Simulating wind noise with airflow speed-dependent characteristics,

Reference 34

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Observation 5d50d093-3880-4a6b-a84f-8c0c6942f927 · outbound

This paper cites The interspeech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment The interspeech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,

Reference 35

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source=pdf_text observed=2026-08-01T01:19:07.488612Z digest=sha256:0b580c828e73856e97aeb7fd5231ce0be3485d20489ab58deff6a8ea6f6a7d17

Observation 10298c1a-6990-4f45-9322-eed0a0c72857 · outbound

This paper cites Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi,.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi,

Reference 36

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Observation c69cc7ce-597c-4dab-8348-63faafe4144f · outbound

This paper cites Speech Model Pre-training for End-to-End Spoken Language Understanding.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 37

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no resolver link, observed 2026-08-01T01:19:07.656877Z

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source=pdf_text observed=2026-08-01T01:19:07.656877Z digest=sha256:d08c92b16c27c49e32e553cf103ac9adb4185a8ef695f81e53259d163b020e4e

Pith citing papers

Observation b0d74b9f-414d-4249-a27a-adbed8dadea4 · inbound

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment cites this paper.

VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment

Reference 1

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no resolver link, observed 2026-08-01T01:19:04.458152Z

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source=pdf_text observed=2026-08-01T01:19:04.458152Z digest=sha256:1ac6a759e66a5094015d73c620841be2e5007ff4be783163632c56ee7a7c9145