Paper Citation Record · LEDGER

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2508.15632.

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

pith.paper-citation-record.v1
2508.15632 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:49:22.989213Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy13
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb281b70-561c-41e9-bd0d-322fc1c1c878 · outbound

This paper cites Acoustic scene classification: Classifying environments from the sounds they produce,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Acoustic scene classification: Classifying environments from the sounds they produce,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.569500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0c2ac2ff-cc91-47c6-bce1-a90e2b099153 · outbound

This paper cites Exploring text-queried sound event detection with audio source separation,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Exploring text-queried sound event detection with audio source separation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.412432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1fad2c79-c023-4bfb-8e00-5f8d7b10c5ef · outbound

This paper cites Multi-granularity acous- tic information fusion for sound event detection,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Multi-granularity acous- tic information fusion for sound event detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.234994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d1c9ca3e-dff3-460a-8273-1c2f2811f7ef · outbound

This paper cites Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T17:49:21.639706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3ad2fd7-93fa-4e63-ae0f-b3e09ec387fb · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T17:49:21.713915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f499c295-d011-4b2f-972f-cd23cbe287be · outbound

This paper cites Attention is all you need,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Attention is all you need,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:25.058425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9ec16219-553e-43b9-a988-a0c3629df947 · outbound

This paper cites Tau urban acoustic scenes 2020 mobile development dataset [data set],.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Tau urban acoustic scenes 2020 mobile development dataset [data set],

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.868808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 11ad663c-5e15-49c8-b43f-d0fc2f0e063c · outbound

This paper cites Cochlscene: Acquisition of acoustic scene data using crowdsourcing,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Cochlscene: Acquisition of acoustic scene data using crowdsourcing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.651413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d0b686d-fa30-42db-945a-9cb2e1746690 · outbound

This paper cites A squeeze-and-excitation and transformer-based cross- task model for environmental sound recognition,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification A squeeze-and-excitation and transformer-based cross- task model for environmental sound recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.468711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 218bd466-fd1e-4d22-8472-69307889dccb · outbound

This paper cites Densenets reloaded: Paradigm shift beyond resnets and vits,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Densenets reloaded: Paradigm shift beyond resnets and vits,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.258533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 25b901d1-fbd5-4ec7-a5d5-3595fc457262 · outbound

This paper cites A two-stage approach to device-robust acoustic scene classification,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification A two-stage approach to device-robust acoustic scene classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:24.011606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 656686d7-5945-4f46-88d8-36e018694351 · outbound

This paper cites Librosa: Audio and music signal analysis in python.,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Librosa: Audio and music signal analysis in python.,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.821472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9f8e53ea-33b9-48b2-84d6-d8f5db90897c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Adam: A Method for Stochastic Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T17:49:22.656170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47fd469-8ae8-4b3c-82d5-174ce67ef011 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Pytorch: An im- perative style, high-performance deep learning library,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.636641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d227b1f-4b5f-49b0-9f29-4c4641f4dd6c · outbound

This paper cites Evaluation of low-frequency feature restriction and average pooling for acoustic scene classification under unseen-city con- ditions,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification Evaluation of low-frequency feature restriction and average pooling for acoustic scene classification under unseen-city con- ditions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.413851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c2eb61fb-203a-448d-8851-e2d929890ab6 · outbound

This paper cites A semi-supervised acoustic scene clas- sification network based on multi-modal information fusion,.

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification A semi-supervised acoustic scene clas- sification network based on multi-modal information fusion,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:49:23.219142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.