Paper Citation Record · LEDGER

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2509.09262.

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

pith.paper-citation-record.v1
2509.09262 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:42.809697Z

measured 19 of 19 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 2026-08-04T19:27:42.754450Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

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verified fuzzy0
unresolved18
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64831ebc-f726-42e7-8a55-8fca9bc6f69f · outbound

This paper cites This field has gained prominence through the Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge, which takes place annu- ally [1].

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification This field has gained prominence through the Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge, which takes place annu- ally [1]

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.746222Z

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Unavailable: canonical work link unavailable.

Observation 0d090c3e-60b1-4fb5-a528-0aa56ab889ac · outbound

This paper cites Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.754450Z

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Observation d591dd3c-1f55-49af-ae39-10d6d704d096 · outbound

This paper cites This section details our training process, which is centered on a special- ized ensemble knowledge distillation (KD) framework designed to enhance model generalization.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification This section details our training process, which is centered on a special- ized ensemble knowledge distillation (KD) framework designed to enhance model generalization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.758633Z

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Observation 3b27ade0-b93c-47a4-bb1a-e06083f0ff69 · outbound

This paper cites The purpose of this loss is to structure the embedding space to be robust against device variations.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification The purpose of this loss is to structure the embedding space to be robust against device variations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.762941Z

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Observation cd732dab-1960-4270-9b58-b50d50a900c7 · outbound

This paper cites We first describe the experimental setup, then ana- lyze the performance based on different teacher ensemble composi- tions to identify the optimal configuration.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification We first describe the experimental setup, then ana- lyze the performance based on different teacher ensemble composi- tions to identify the optimal configuration

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.766638Z

Source-reported events for the cited work

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Observation b424db76-4ac7-4195-849e-9e555f8811b4 · outbound

This paper cites The main contribution of this work is a novel training frame- work that combines specialized knowledge distillation with an adaptive fine-tuning strategy.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification The main contribution of this work is a novel training frame- work that combines specialized knowledge distillation with an adaptive fine-tuning strategy

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.750735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8cd61b-360b-44f6-9174-fe7f4f1f2182 · outbound

This paper cites Our proposed method is cen- tered on a knowledge distillation framework that leverages a com- pact, specialized two-teacher ensemble to train an efficient CP- MobileNet student.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Our proposed method is cen- tered on a knowledge distillation framework that leverages a com- pact, specialized two-teacher ensemble to train an efficient CP- MobileNet student

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.770139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b3715db-0bb5-4e0a-bc75-783244f3d090 · outbound

This paper cites Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.773478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0cc108f-4d07-4d89-9aad-925954159db7 · outbound

This paper cites Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.777440Z

Source-reported events for the cited work

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Observation eee3acae-d8dd-48b0-ac31-8ba18398b06f · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Distilling the Knowledge in a Neural Network

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.781072Z

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Unavailable: canonical work link unavailable.

Observation 235885a3-1b74-4d3c-bf7c-2e810ce28755 · outbound

This paper cites Distilling the knowledge of transformers and CNNs with CP-mobile,.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Distilling the knowledge of transformers and CNNs with CP-mobile,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.785050Z

Source-reported events for the cited work

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Observation 547da7d8-38ba-4613-8b33-23dff43c8410 · outbound

This paper cites Efficient Training of Audio Transformers with Patchout.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Efficient Training of Audio Transformers with Patchout

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.788432Z

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Observation 09ea48a3-66a2-4dac-b65c-65cb9045fc2b · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification mixup: Beyond Empirical Risk Minimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.792042Z

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Unavailable: canonical work link unavailable.

Observation 5b0f5719-9b1a-4403-92df-a0c37f8e06fa · outbound

This paper cites Domain Generalization with MixStyle.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Domain Generalization with MixStyle

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.795402Z

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Observation cf07403c-f273-49cc-9b8a-414e0e53fa10 · outbound

This paper cites Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.799290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a11ca11c-9561-4cdf-bc15-663716bda071 · outbound

This paper cites Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.802938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032ba4ac-daf1-480b-b985-27222fd7b3e4 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.806318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb97ec21-f9a9-4f56-bd1b-53e9fda86844 · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification Audio set: An ontology and human-labeled dataset for audio events,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:42.809697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0d090c3e-60b1-4fb5-a528-0aa56ab889ac · inbound