Paper Citation Record · LEDGER

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2506.04077.

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

pith.paper-citation-record.v1
2506.04077 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:49.621255Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:46.650719Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:53:49.741485Z

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy23
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e55f2f2-3ce3-4cd1-b6cf-cd32d2fc8155 · outbound

This paper cites A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:53:49.812511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97da2404-00b8-41a3-8274-c1babc1d8bab · outbound

This paper cites Please generate your response in the style of the above examples.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Please generate your response in the style of the above examples

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:54.981939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4454b4a0-127a-4910-ade4-b8980afd8602 · outbound

This paper cites an unresolved cited work.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:53:54.676206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6fb1c6fa-a367-4445-8997-f2cbbe5d3753 · outbound

This paper cites an unresolved cited work.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:53:54.340553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 145f3ee2-08e0-409d-88dc-6e4513a2c1d3 · outbound

This paper cites Any findings and implications in the paper do not necessarily reflect those of the sponsor.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Any findings and implications in the paper do not necessarily reflect those of the sponsor

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:47.017864Z

Source-reported events for the cited work

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Observation 54c70156-9903-475b-a87f-93ce3ac3edad · outbound

This paper cites An overview of spoken language technology for education,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions An overview of spoken language technology for education,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:54.077978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec9fd403-e997-4d49-836b-2ee9ebcda38d · outbound

This paper cites Attention-based multi-encoder automatic pronunciation assessment,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Attention-based multi-encoder automatic pronunciation assessment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:53.881167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4947d923-4382-4eab-9209-8c783c4c32f7 · outbound

This paper cites Towards automatic scoring of a test of spoken language with heterogeneous task types,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Towards automatic scoring of a test of spoken language with heterogeneous task types,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:53.640962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ffb0c953-8bc3-4eac-873d-2542d96189f6 · outbound

This paper cites Assessment of l2 oral proficiency using self-supervised speech representation learning,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Assessment of l2 oral proficiency using self-supervised speech representation learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:47.415632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe015ca-9320-4f3c-bb1d-4b1039f81e97 · outbound

This paper cites An effective automated speaking assessment approach to mitigating data scarcity and imbalanced distribution,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions An effective automated speaking assessment approach to mitigating data scarcity and imbalanced distribution,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:47.537007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc1c6f29-74c8-4d4e-87c4-3c14b554643e · outbound

This paper cites Neural approaches to automated speech scoring of monologue and dialogue responses,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Neural approaches to automated speech scoring of monologue and dialogue responses,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:53.476805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42e6f129-7c3b-4622-80bf-fd36383ece79 · outbound

This paper cites Development of an english oral assessment system with the gept dataset,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Development of an english oral assessment system with the gept dataset,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:53.241621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c21d36c5-ccf3-4868-9c35-10f7414ae798 · outbound

This paper cites Assessment of non-native speech using vowel space characteristics,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Assessment of non-native speech using vowel space characteristics,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:52.951888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25dbd73f-f77d-465c-a3e8-f9c3cb30f75e · outbound

This paper cites Deep learning-based automatic pronunciation assessment for second language learners,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Deep learning-based automatic pronunciation assessment for second language learners,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:52.746261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7a7091c-02d1-467f-9a02-404025f75ceb · outbound

This paper cites Automatic assessment of second lan- guage learners’ fluency,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Automatic assessment of second lan- guage learners’ fluency,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:52.511441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d90ecd0-c3f9-430a-8f65-5748965fe51b · outbound

This paper cites Assessing the prosody of non-native speakers of english: Measures and feature sets,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Assessing the prosody of non-native speakers of english: Measures and feature sets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:52.244006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d204a598-1afc-42ea-bda1-992397a24f92 · outbound

This paper cites A deep learning approach to automatic characterisation of rhythm in non-native english speech.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions A deep learning approach to automatic characterisation of rhythm in non-native english speech

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:51.943151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b12210c-e077-4c17-84e1-e1434d957c98 · outbound

This paper cites Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non- native spontaneous speech,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non- native spontaneous speech,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:51.726605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28d21e33-012a-4af6-aca6-d0fce911c9b0 · outbound

This paper cites End-to-end neural network based automated speech scoring,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions End-to-end neural network based automated speech scoring,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:51.541078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a67960be-b492-43b5-81ef-0d5297689990 · outbound

This paper cites Automated scoring of nonnative speech using the speechrater sm v. 5.0 engine,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Automated scoring of nonnative speech using the speechrater sm v. 5.0 engine,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:51.363835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1a5ce00-8303-451f-ac5d-299c95dfe8a7 · outbound

This paper cites Addressing cold start problem for end-to-end automatic speech scoring,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Addressing cold start problem for end-to-end automatic speech scoring,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:51.188395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b18058cc-b897-4d42-9fca-3d8c33b4b725 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:48.660537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56beeb12-c0f8-42af-a38c-5e3a24c75368 · outbound

This paper cites Bert: Pre- training of deep bidirectional transformers for language under- standing,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Bert: Pre- training of deep bidirectional transformers for language under- standing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:48.773838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ade573-0bb8-4409-84f6-4b221eb6b21b · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:48.837329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d413b53f-28c5-4eb4-a4b8-a4bce7e2f3f9 · outbound

This paper cites A knowledge-driven vowel-based ap- proach of depression classification from speech using data aug- mentation,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions A knowledge-driven vowel-based ap- proach of depression classification from speech using data aug- mentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:51.044670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f88779e-7b85-4987-b6e7-3c9ffb9ed93e · outbound

This paper cites Text is all you need: Personalizing asr models using controllable speech synthesis,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Text is all you need: Personalizing asr models using controllable speech synthesis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:50.879934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31665ab3-541a-469f-9150-1e1a22e3be6e · outbound

This paper cites Synthasr: Unlocking synthetic data for speech recognition,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Synthasr: Unlocking synthetic data for speech recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:50.736351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8854c1e0-f7c4-4400-9506-b40d22ffda77 · outbound

This paper cites Emomix: Emotion mixing via diffusion models for emotional speech syn- thesis,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Emomix: Emotion mixing via diffusion models for emotional speech syn- thesis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:50.548279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9affcac6-d0e2-42ac-9d7d-279911f597af · outbound

This paper cites Not all LLM-generated data are equal: Rethinking data weighting in text classification,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Not all LLM-generated data are equal: Rethinking data weighting in text classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:50.394577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e92b6c82-5b10-4ee2-ad84-2be88a7df521 · outbound

This paper cites GPT3Mix: Leveraging large-scale language models for text augmentation,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions GPT3Mix: Leveraging large-scale language models for text augmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:50.237509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a3b6e75-209c-48be-b162-41f29461f9f1 · outbound

This paper cites Data augmentation for intent classification with off-the-shelf large language models,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Data augmentation for intent classification with off-the-shelf large language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:50.067834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8dfce2f-ad16-4457-8eba-364ef024ebc5 · outbound

This paper cites Self-instruct: Aligning language models with self-generated instructions,.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Self-instruct: Aligning language models with self-generated instructions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:49.945234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e3c1806-16eb-4eb2-94cb-ac546fa1489a · outbound

This paper cites Lora: Low-rank adaptation of large language models.

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions Lora: Low-rank adaptation of large language models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:49.621255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3e55f2f2-3ce3-4cd1-b6cf-cd32d2fc8155 · inbound