Paper Citation Record · LEDGER

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2601.16316.

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

pith.paper-citation-record.v1
2601.16316 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:42:32.895398Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:42:31.149556Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2499bbe-abb6-4b3f-a134-5bb4227d5f46 · outbound

This paper cites Adapting the model for different sets of keywords requires repeating the same training procedure; therefore, it is not feasible to adapt the models on edge hardware.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Adapting the model for different sets of keywords requires repeating the same training procedure; therefore, it is not feasible to adapt the models on edge hardware

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:31.089707Z

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Observation 349afb61-c808-4b3a-9c7b-492612bed466 · outbound

This paper cites EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-03T08:42:31.149556Z

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Observation 9674851e-29bf-4c48-9e28-95d9c6ef9e36 · outbound

This paper cites For fairness, we adapt BC-ResNet to the FS- KWS setting by replacing the final classifier to produce 64- dimensional embeddings compatible with our KD setup.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting For fairness, we adapt BC-ResNet to the FS- KWS setting by replacing the final classifier to produce 64- dimensional embeddings compatible with our KD setup

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:31.265139Z

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Observation cd30724e-0481-4890-bbe8-d3943045448d · outbound

This paper cites EdgeSpot delivers higher low-FAR accuracy than BC-ResNet on both MSWC and cross-domain GSC with minimal additional on-device cost.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting EdgeSpot delivers higher low-FAR accuracy than BC-ResNet on both MSWC and cross-domain GSC with minimal additional on-device cost

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:31.380011Z

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Observation d66cae02-6aa1-4fa6-8808-cc286089488e · outbound

This paper cites Few-shot keyword spotting in any language,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Few-shot keyword spotting in any language,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:31.491163Z

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Observation 40fab8eb-052a-4672-b5cc-c0873a58aaba · outbound

This paper cites Fully unsupervised training of few-shot keyword spotting,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Fully unsupervised training of few-shot keyword spotting,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:31.659331Z

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Observation cda673f7-6fbe-43de-9270-3332735b979b · outbound

This paper cites On-device cus- tomization of tiny deep learning models for keyword spotting with few examples,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting On-device cus- tomization of tiny deep learning models for keyword spotting with few examples,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:31.773554Z

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Observation 5a553898-8329-4a66-a463-bf82b277d06b · outbound

This paper cites Few-shot open- set learning for on-device customization of keyword spotting systems,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Few-shot open- set learning for on-device customization of keyword spotting systems,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:31.894390Z

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Observation 79a032b0-6799-43ee-a66c-690df5606393 · outbound

This paper cites Deep Residual Learning for Image Recognition.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Deep Residual Learning for Image Recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.007703Z

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Observation cdab9cd6-f947-4188-9b43-eb06ab2fbb76 · outbound

This paper cites Enhancing few- shot keyword spotting performance through pre-trained self-supervised speech models,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Enhancing few- shot keyword spotting performance through pre-trained self-supervised speech models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.069390Z

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Observation f8aba5f5-959c-4ad9-9211-8dd92ca0844b · outbound

This paper cites Match- boxNet: 1D time-channel separable convolutional neu- ral network architecture for speech commands recogni- tion,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Match- boxNet: 1D time-channel separable convolutional neu- ral network architecture for speech commands recogni- tion,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.165523Z

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Observation 143919d4-5f7b-4eda-80d4-54db2c26493d · outbound

This paper cites Depthwise sepa- rable convolutional resnet with squeeze-and-excitation blocks for small-footprint keyword spotting,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Depthwise sepa- rable convolutional resnet with squeeze-and-excitation blocks for small-footprint keyword spotting,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.220720Z

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Observation 54bb7d11-c8de-44d0-a190-94bbf7dca047 · outbound

This paper cites Temporal convolution for real- time keyword spotting on mobile devices,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Temporal convolution for real- time keyword spotting on mobile devices,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.280208Z

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Observation 54071d6c-b6dd-47df-9ed0-d4f6628e566e · outbound

This paper cites Broadcasted residual learning for ef- ficient keyword spotting,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Broadcasted residual learning for ef- ficient keyword spotting,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.322050Z

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Observation 493345c2-24ab-442a-a12c-7eb821362f4c · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.381699Z

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Observation 66fe4d76-189f-4e8c-8adc-ccc0c4f4517a · outbound

This paper cites Trainable Frontend For Robust and Far-Field Keyword Spotting.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Trainable Frontend For Robust and Far-Field Keyword Spotting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.466188Z

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Observation dd79dca4-ae33-482a-b99c-c50106e176b0 · outbound

This paper cites Multilingual spoken words corpus,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Multilingual spoken words corpus,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.526610Z

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Observation d5bfe3aa-4e8a-43f3-a485-571073bf5def · outbound

This paper cites Per-channel energy normalization: Why and how,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Per-channel energy normalization: Why and how,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.603157Z

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Observation c41de38b-233d-43db-a7a0-fd0acda20c2f · outbound

This paper cites Efficientnetv2: Smaller models and faster training,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Efficientnetv2: Smaller models and faster training,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.699417Z

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Observation f9014e5b-6e46-4366-885e-2e47d6baf495 · outbound

This paper cites wav2vec 2.0: A framework for self- supervised learning of speech representations,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting wav2vec 2.0: A framework for self- supervised learning of speech representations,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.754903Z

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Observation 469b23ae-6902-4198-9cc3-c7c17371260b · outbound

This paper cites Sub-center arcface: Boosting face recognition by large-scale noisy web faces,.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting Sub-center arcface: Boosting face recognition by large-scale noisy web faces,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.836719Z

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Observation 1c1c9ce6-fdff-4b42-b3d6-21c2255a12c6 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T08:42:32.895398Z

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Pith citing papers

Observation 349afb61-c808-4b3a-9c7b-492612bed466 · inbound