Paper Citation Record · LEDGER

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2502.07575.

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

pith.paper-citation-record.v1
2502.07575 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:19:08.006769Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:57.314825Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:10:57.510789Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy8
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2126658-2576-4a79-b045-59896f80d958 · outbound

This paper cites However, it is generally expected that a full-fledged CAPT system should perform both functionalities simultaneously and efficiently.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss However, it is generally expected that a full-fledged CAPT system should perform both functionalities simultaneously and efficiently

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.392519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f041df5-8e2a-46a8-b284-765efafd6e7c · outbound

This paper cites These modules collectively generate the corresponding aspect score sequence 𝐬𝑔 for each linguistic granularity 𝑔, as well as the phonetic error states 𝐞 and diagnosis 𝐲.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss These modules collectively generate the corresponding aspect score sequence 𝐬𝑔 for each linguistic granularity 𝑔, as well as the phonetic error states 𝐞 and diagnosis 𝐲

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.347525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d43c3eba-9f01-4768-8695-0434ed7c6a80 · outbound

This paper cites These errors usually have clear-cut distinctions between correct and incorrect ones, and can be easily quantified through deletions, substitutions, and insertions.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss These errors usually have clear-cut distinctions between correct and incorrect ones, and can be easily quantified through deletions, substitutions, and insertions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.362769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d44e73af-d10a-4229-8d33-c02c717ac438 · outbound

This paper cites Notably, there are several studies investigating the bidirectional processing of Mamba (Liang et al., 2024; Zhang et al., 2024; Jiang et al., 2024).

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Notably, there are several studies investigating the bidirectional processing of Mamba (Liang et al., 2024; Zhang et al., 2024; Jiang et al., 2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.332810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a149287-4e5f-4743-8832-f9df68db3bc1 · outbound

This paper cites The APA module contains one regressor that aims to predict the phone-level aspect score 𝑠0𝑔𝑝ℎ𝑛(accuracy).

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss The APA module contains one regressor that aims to predict the phone-level aspect score 𝑠0𝑔𝑝ℎ𝑛(accuracy)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.303935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d33575be-4913-41ca-b1c2-f55852cc5c33 · outbound

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

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:07.976059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d03425cd-6d26-4c28-b4e7-88107123665a · outbound

This paper cites Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:07.985835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d299bed-cb26-457e-b369-8990e051a3ef · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:07.990806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c79692-9b67-4d9b-80da-5f9a76193c3f · outbound

This paper cites Mamba in Speech: Towards an Alternative to Self-Attention.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Mamba in Speech: Towards an Alternative to Self-Attention

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:07.995703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc9f1182-ca35-4b55-82ad-d3eb0038fcfd · outbound

This paper cites The combining weights 𝜔𝑔 for APA loss are uniformly set to 1.0 for each granularity level 𝑔.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss The combining weights 𝜔𝑔 for APA loss are uniformly set to 1.0 for each granularity level 𝑔

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.241622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad280e6f-533a-4f2b-b9a7-04ed58894fec · outbound

This paper cites an unresolved cited work.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:19:08.226328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0113c96c-b848-4660-8370-04299622ba88 · outbound

This paper cites reading-aloud.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss reading-aloud

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.377896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 79022266-41fe-4f0e-8d26-41c3171136ea · outbound

This paper cites ETS Research Report Series 2015(1):1–11.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss ETS Research Report Series 2015(1):1–11

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:19:08.256312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3ff5edd-324f-47b2-b4ca-24e708ea7001 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:19:08.287512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a861861f-8133-43c8-b8a7-bc5772cc47c0 · outbound

This paper cites A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:07.971301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef42ce8a-df5a-4f20-9090-d87136f429f4 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:19:08.272001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 399c6f3b-d3df-4dd3-b4a5-4f9650e4de89 · outbound

This paper cites an unresolved cited work.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:19:08.319060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f86411e5-577b-4b4b-ad97-12f63edb952f · outbound

This paper cites Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation.

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:07.980987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a2f6d2ec-6c8c-4498-9198-851eefda73ac · inbound

JCAPT: A Joint Modeling Approach for CAPT cites this paper.

JCAPT: A Joint Modeling Approach for CAPT Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:10:57.516689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.