Paper Citation Record · LEDGER

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge

As of 5 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2505.01747.

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

pith.paper-citation-record.v1
2505.01747 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T16:43:39.849994Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:42.773478Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T16:44:59.825477Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy29
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc183e59-e940-43cf-aecc-ec14ecbc7550 · outbound

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

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T16:44:59.828516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bad7d46-5351-409f-a686-585c20f5f3d7 · outbound

This paper cites The most commonly used meth- ods in 2023 and 2024 were augmentation-based methods, such as Freq-MixStyle [7,8] and device impulse response augmentation [9].

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge The most commonly used meth- ods in 2023 and 2024 were augmentation-based methods, such as Freq-MixStyle [7,8] and device impulse response augmentation [9]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.374613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a7d6cbc-d9d3-4c9e-acbc-35aacf8d8a9a · outbound

This paper cites However, this year’s setup introduces key variations to the handling of device mismatch and transfer learning.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge However, this year’s setup introduces key variations to the handling of device mismatch and transfer learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.426550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 061aacd4-132c-4d8e-aa7e-1aa8f54eb02b · outbound

This paper cites It employs a receptive-field-regularized, factorized CNN architecture.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge It employs a receptive-field-regularized, factorized CNN architecture

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.420560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0285b7a-8b22-4c2f-8bb9-cb777c1adc8c · outbound

This paper cites an unresolved cited work.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:45:00.337771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc3acd73-b2a8-4240-b608-96ac52dc9a4f · outbound

This paper cites Building on previous editions, we con- tinue to address challenges such as low-complexity constraints, de- vice mismatch, and data scarcity.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Building on previous editions, we con- tinue to address challenges such as low-complexity constraints, de- vice mismatch, and data scarcity

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.370865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2f2464e-b5a9-466d-ad58-1affc41188de · outbound

This paper cites an unresolved cited work.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-22T16:45:00.359872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e05ea427-73e0-406e-9593-078ce62a7cd1 · outbound

This paper cites Approaches to complex sound scene analysis.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Approaches to complex sound scene analysis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.381534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4e5706f0-32f8-46c6-b73c-8903ab2be2e4 · outbound

This paper cites Acoustic scene classifica- tion in DCASE 2020 challenge: Generalization across devices and low complexity solutions.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Acoustic scene classifica- tion in DCASE 2020 challenge: Generalization across devices and low complexity solutions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.425787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b478b2f8-c023-4598-a0ec-1e1edaca75d6 · outbound

This paper cites Low- complexity acoustic scene classification for multi-device audio: Anal- ysis of DCASE 2021 challenge systems.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Low- complexity acoustic scene classification for multi-device audio: Anal- ysis of DCASE 2021 challenge systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.428808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d4412e7-f70e-4450-9acb-d68a6f2bebdf · outbound

This paper cites Low-complexity acoustic scene classification in DCASE 2022 challenge.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Low-complexity acoustic scene classification in DCASE 2022 challenge

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.349676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31029148-26c4-40ef-8b93-af1e15e7cc83 · outbound

This paper cites Data-efficient low-complexity acoustic scene classification in the DCASE 2024 challenge.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Data-efficient low-complexity acoustic scene classification in the DCASE 2024 challenge

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.407716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3fc8b267-3599-4811-b783-35036c20cb94 · outbound

This paper cites A multi-device dataset for urban acoustic scene classification.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge A multi-device dataset for urban acoustic scene classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.366911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87cb16f5-9faf-4f03-9d73-63dcba3b0f6a · outbound

This paper cites Domain generalization with relaxed instance frequency-wise normalization for multi-device acoustic scene classification.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Domain generalization with relaxed instance frequency-wise normalization for multi-device acoustic scene classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.377859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4187ad8c-e7d1-4a70-ba82-e76b52c54a35 · outbound

This paper cites CP-JKU submission to DCASE22: Distilling knowledge for low-complexity convolutional neural networks from a patchout audio transformer.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge CP-JKU submission to DCASE22: Distilling knowledge for low-complexity convolutional neural networks from a patchout audio transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.404299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf4cbeef-0cdb-4586-aec4-8ee66de2444d · outbound

This paper cites Device-robust acoustic scene classification via impulse response augmentation.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Device-robust acoustic scene classification via impulse response augmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.423227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80b0b636-31ac-4ef5-9368-b5a917f0080c · outbound

This paper cites Ascdomain: Domain invari- ant device-adversarial isotropic knowledge distillation convolutional neural architecture.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Ascdomain: Domain invari- ant device-adversarial isotropic knowledge distillation convolutional neural architecture

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.432608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9d551ddb-a0b2-4226-9ad6-08a8ea96ab0c · outbound

This paper cites CP-JKU submissions to DCASE’20: Low-complexity cross-device acoustic scene classification with RF-regularized CNNs.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge CP-JKU submissions to DCASE’20: Low-complexity cross-device acoustic scene classification with RF-regularized CNNs

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.413443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9c9f4448-8ec8-41f7-aeeb-1d7c2d1926c7 · outbound

This paper cites QTI submission to DCASE 2021: Residual normalization for device-imbalanced acoustic scene classification with efficient design.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge QTI submission to DCASE 2021: Residual normalization for device-imbalanced acoustic scene classification with efficient design

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.416884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6f78436-6dc4-4a7a-aaaf-9583ee155574 · outbound

This paper cites Hyu submis- sion for the DCASE 2022: Efficient fine-tuning method using device- aware data-random-drop for device-imbalanced acoustic scene classi- fication.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Hyu submis- sion for the DCASE 2022: Efficient fine-tuning method using device- aware data-random-drop for device-imbalanced acoustic scene classi- fication

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.434678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1522724e-d161-43d1-a9a7-ca5930ebb922 · outbound

This paper cites CPJKU submission to DCASE21: Cross-device audio scene classification with wide sparse frequency-damped CNNs.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge CPJKU submission to DCASE21: Cross-device audio scene classification with wide sparse frequency-damped CNNs

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.403551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce29be49-cc3d-4cac-958c-1d9b05dda495 · outbound

This paper cites Data-efficient acoustic scene classification via ensemble teachers distillation and pruning.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Data-efficient acoustic scene classification via ensemble teachers distillation and pruning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.431563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca255afd-7fe0-4c4a-b27b-650222a723ce · outbound

This paper cites A lottery ticket hy- pothesis framework for low-complexity device-robust neural acoustic scene classification.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge A lottery ticket hy- pothesis framework for low-complexity device-robust neural acoustic scene classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.429413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e63f4f8b-5530-4f6f-bd16-b8155ab0adb0 · outbound

This paper cites Low-complexity acoustic scene classification using blueprint separable convolution and knowledge distillation.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Low-complexity acoustic scene classification using blueprint separable convolution and knowledge distillation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.388033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b83263bd-87a9-4b3e-bd21-a5b391d28c7b · outbound

This paper cites DCASE2023 task1 sub- mission: Device simulation and time-frequency separable convolu- tion for acoustic scene classification.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge DCASE2023 task1 sub- mission: Device simulation and time-frequency separable convolu- tion for acoustic scene classification

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.384928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2408897f-8770-4630-aa30-30a00ecd4dda · outbound

This paper cites CP-JKU submission to DCASE23: Efficient acoustic scene classifi- cation with cp-mobile.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge CP-JKU submission to DCASE23: Efficient acoustic scene classifi- cation with cp-mobile

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.399312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 392e34ab-c9c3-42d6-ace1-e761a8ba2a4f · outbound

This paper cites Low-complexity acoustic scene clas- sification with limited training data.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Low-complexity acoustic scene clas- sification with limited training data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.422762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 043644d9-262e-4214-a1cf-e8f6b9a3df53 · outbound

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

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Audio set: An ontology and human-labeled dataset for audio events

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.389668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4f4c957-4307-4fb7-addd-9ab08972af86 · outbound

This paper cites DCASE2024 task1 submission: Data-efficient acoustic scene classification with self-supervised teach- ers.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge DCASE2024 task1 submission: Data-efficient acoustic scene classification with self-supervised teach- ers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.400076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0b7c337a-7e5a-4ae0-a11a-25421b342bff · outbound

This paper cites Data-efficient acoustic scene classification with pre-trained CP-Mobile.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Data-efficient acoustic scene classification with pre-trained CP-Mobile

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.410531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75a05a19-9ca2-4c92-ab85-1f40a6e1a4c7 · outbound

This paper cites Upb-nt submission to DCASE24: Dataset pruning for targeted knowledge distillation.

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Upb-nt submission to DCASE24: Dataset pruning for targeted knowledge distillation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.419753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60081f8d-de20-4ea4-a493-294ba040d9c6 · outbound

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

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge Distilling the knowledge of transformers and CNNs with CP-mobile

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T16:45:00.386327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation fc183e59-e940-43cf-aecc-ec14ecbc7550 · inbound