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Paper Citation Record · LEDGER

Improving Acoustic Scene Classification in Low-Resource Conditions

As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2412.20722.

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

pith.paper-citation-record.v1
2412.20722 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:19:11.943364Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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 exact8
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e73ba83-7de3-4bf0-b443-de08940f8e22 · outbound

This paper cites Receptive field regu- larization techniques for audio classification and tagging with deep convolutional neural networks,.

Improving Acoustic Scene Classification in Low-Resource Conditions Receptive field regu- larization techniques for audio classification and tagging with deep convolutional neural networks,

Reference 1

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T23:19:12.638193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.837819Z digest=sha256:26a6ab76f90604a218ee52b408ed3febef17fa8ef0b4c92e4f0eae501d8722ac

Observation 158445d7-3442-45e6-b5f6-574492b837d1 · outbound

This paper cites CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions.

Improving Acoustic Scene Classification in Low-Resource Conditions CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:19:12.274426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.843251Z digest=sha256:9a23ea1ba471ac939653279aecab772039c13e2d75f1325e6cb387c0e0f5dd4c

Observation f46e7d92-36bf-4211-9891-627e8ce97a87 · outbound

This paper cites The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification.

Improving Acoustic Scene Classification in Low-Resource Conditions The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:19:12.252843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.848754Z digest=sha256:cc88883dcc6e8ec9403541a4d4afb4c38c48e910b3c9ee300b70e28a86dbde4a

Observation c4d41231-79ef-4569-ac30-c11419d8aad6 · outbound

This paper cites Histogram of gradients of Time-Frequency Representations for Audio scene detection.

Improving Acoustic Scene Classification in Low-Resource Conditions Histogram of gradients of Time-Frequency Representations for Audio scene detection

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:19:12.230476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.854071Z digest=sha256:1b4d8599706145905007f8175e2590929d3b372f6e0e7b40afefd752330752a9

Observation 8fd9d623-9a5c-4a14-bac0-450b99962612 · outbound

This paper cites Gammatone cepstral coefficients: Bi- ologically inspired features for non-speech audio classification,.

Improving Acoustic Scene Classification in Low-Resource Conditions Gammatone cepstral coefficients: Bi- ologically inspired features for non-speech audio classification,

Reference 5

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unresolved
no resolver link, observed 2026-08-10T23:19:11.859695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.859695Z digest=sha256:8b4234b8189476c88c83cc9d924f70b1b717e0e7a5543952a48837e54214f4f8

Observation 9112b353-d339-48a4-b5d2-5dfadcf6f426 · outbound

This paper cites Acoustic scene classification using block-based MFCC features,.

Improving Acoustic Scene Classification in Low-Resource Conditions Acoustic scene classification using block-based MFCC features,

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-10T23:19:12.479144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.864596Z digest=sha256:faa97d0f09be5252207d48f5c98bf95102fcd5e9e043f4d7bf87362f64c242b4

Observation 4f101369-9476-4fc5-b7ad-ccb85eb94b8f · outbound

This paper cites Acoustic scene classification using deep residual networks with late fusion of separated high and low frequency paths,.

Improving Acoustic Scene Classification in Low-Resource Conditions Acoustic scene classification using deep residual networks with late fusion of separated high and low frequency paths,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.869640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.869640Z digest=sha256:ce00b86d22719e5e0523e27416075aa81a392ff2afe5923ccbbc58119b2f5896

Observation 48708113-fcd6-4f06-ab31-23009758ccf3 · outbound

This paper cites Mo- bileNetV2: Inverted residuals and linear bottlenecks,.

Improving Acoustic Scene Classification in Low-Resource Conditions Mo- bileNetV2: Inverted residuals and linear bottlenecks,

Reference 8

Resolution
verified exact
doi, observed 2026-08-10T23:19:12.207517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.873688Z digest=sha256:ae040aa84e20398730254cc1a7abd4a710dce2cffbfed23bd517aca6bc56c999

Observation f160345f-8259-4522-9ab1-c868c196f6a3 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Improving Acoustic Scene Classification in Low-Resource Conditions Deep Residual Learning for Image Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.878097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.878097Z digest=sha256:9a7422304268def1dc39746438157e34fc111915a20b4f7996d8e4ffa5db9641

Observation 53238ebd-c600-4778-b130-94a695736da0 · outbound

This paper cites Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation.

Improving Acoustic Scene Classification in Low-Resource Conditions Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.882699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.882699Z digest=sha256:ed5b373d45341fa344571d863ae3c6d9bf485b7883c72899737cccf8654afb2b

Observation 783348aa-2815-4901-af0b-e1cad95e8632 · outbound

This paper cites Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection.

Improving Acoustic Scene Classification in Low-Resource Conditions Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.887521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.887521Z digest=sha256:65342520d0b9f400749526bf4734635d4e5bf1fd37077ec9621255ee5ed1fb1e

Observation 473cae3a-d00a-4440-9c60-cff899f45607 · outbound

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

Improving Acoustic Scene Classification in Low-Resource Conditions Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.892577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.892577Z digest=sha256:24484157fef0969b2529a285c38d72d54ef9b51d9c6b05b8d6049d897320b4ba

Observation a5036e34-9bbb-46db-b7b4-418017a60b65 · outbound

This paper cites Domain Generalization with MixStyle.

Improving Acoustic Scene Classification in Low-Resource Conditions Domain Generalization with MixStyle

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.897980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.897980Z digest=sha256:adb6c289d65dc94bfba86b377a96a98580ef2448252ca4d8dd0a7aa9f32907a4

Observation 9544a807-11e7-4f44-84e5-d547170c8670 · outbound

This paper cites Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.

Improving Acoustic Scene Classification in Low-Resource Conditions Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.903054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.903054Z digest=sha256:d87478b30837bd44a6d5fa15022de5d63f23739c6409fc7af662c21c2708dec9

Observation c9c71067-d9b1-4818-be87-957108b3d260 · outbound

This paper cites Deep semantic learning for acoustic scene classification,.

Improving Acoustic Scene Classification in Low-Resource Conditions Deep semantic learning for acoustic scene classification,

Reference 15

Resolution
verified exact
doi, observed 2026-08-10T23:19:12.027492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.908634Z digest=sha256:6fc8289dbb643fba5bd519ce3b57bff52a27dd41cf64ea33aec0227f9f7984c9

Observation 8dd4a8f6-3bc7-4a67-9bf9-9b8810451a9d · outbound

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

Improving Acoustic Scene Classification in Low-Resource Conditions QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:19:12.011180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.913496Z digest=sha256:31aa309942eff27303b17e96a1a69d4f6039196eb2963bc60ee814aa50694554

Observation 7e966d5b-acde-4d8f-bf6f-fec7b59e4414 · outbound

This paper cites Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.

Improving Acoustic Scene Classification in Low-Resource Conditions Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:11.918724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:11.918724Z digest=sha256:bfb0e7e1e3b31bdd80c64ad200ef21b2918158f5586398d852bc554df97ec871

Observation fe2a84f0-c3c4-49e6-963a-bfa869959cd3 · outbound

This paper cites CP-JKU submission to Dcase23: Efficient acoustic scene classification with CP-Mobile, technical report,.

Improving Acoustic Scene Classification in Low-Resource Conditions CP-JKU submission to Dcase23: Efficient acoustic scene classification with CP-Mobile, technical report,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:12.705261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.923682Z digest=sha256:0e609b9a820379bdd18a311957da32c75f4c0e06130b6a6265ee3c46a015a923

Observation ee79339b-ad40-4355-829c-824a1a2645df · outbound

This paper cites Acoustic scene classification in DCASE 2020 challenge: Generalization across devices and low complexity solutions,.

Improving Acoustic Scene Classification in Low-Resource Conditions Acoustic scene classification in DCASE 2020 challenge: Generalization across devices and low complexity solutions,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:12.690037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.928459Z digest=sha256:fd0d8e4366233e0435e604f05b46ead411b067f4d43ce6c2680b3b53cde749ef

Observation 61c39884-48a8-4157-93b1-f416bd1a63c7 · outbound

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

Improving Acoustic Scene Classification in Low-Resource Conditions Low-complexity acoustic scene classification in DCASE 2022 Challenge

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:19:11.987937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.933195Z digest=sha256:a450b801e304942170c07e43375fe70aa1f8bb409e11088b95e3d98d0cc42b70

Observation 1c3c62c5-38b6-4997-8502-f6b556453b50 · outbound

This paper cites Low-complexity deep learning solution for acoustic scene classifi- cation,.

Improving Acoustic Scene Classification in Low-Resource Conditions Low-complexity deep learning solution for acoustic scene classifi- cation,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:12.673801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.938504Z digest=sha256:1abbeccb9c000c89b355ef7d76c0aa3d12f6c283b3bcd266bcfcace21f5ad030

Observation 8d5fb262-1af3-45a9-8c8a-209b0fd3015b · outbound

This paper cites Low-complexity Acoustic Scene Classification Us- ing Blueprint Separable Convolution and Knowledge Distillation,.

Improving Acoustic Scene Classification in Low-Resource Conditions Low-complexity Acoustic Scene Classification Us- ing Blueprint Separable Convolution and Knowledge Distillation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:12.656517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:11.943364Z digest=sha256:64c4172f580ebaf1ac6fd92621cd9242192fbb627cb62942a05ef031c9d21f56

Pith citing papers

No inbound Pith citation observations are available.