Paper Citation Record · LEDGER

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2505.15773.

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

pith.paper-citation-record.v1
2505.15773 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:33.743454Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:31.257319Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:14:33.833748Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d2684c5-9969-4040-8acb-98e51a3f8cdf · outbound

This paper cites For individuals, exposure to toxic speech can cause psychological problems like stress, anxiety, and depression [1].

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality For individuals, exposure to toxic speech can cause psychological problems like stress, anxiety, and depression [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:38.431225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16c90474-a0fd-4b2c-b593-e394bf17189f · outbound

This paper cites ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:14:33.889490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e1f1799c-6b00-4b31-b5d5-8aca8f84c3e0 · outbound

This paper cites Definition of toxicity We define toxicity via two aspects: theformof toxicity and the sourceof toxicity.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Definition of toxicity We define toxicity via two aspects: theformof toxicity and the sourceof toxicity

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:38.274238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2950087c-5040-4a5d-82fa-03345caf8245 · outbound

This paper cites Specific Words.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Specific Words

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.944024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77725939-363e-46dd-9c36-ba88ee027b3b · outbound

This paper cites The dataset reflects real- world toxicity distributions, including natural class imbalances, such as the higher prevalence of toxic speech in gaming con- tent.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality The dataset reflects real- world toxicity distributions, including natural class imbalances, such as the higher prevalence of toxic speech in gaming con- tent

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.846313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6baa0ef4-e483-40d8-9e87-cc48f8d2c61b · outbound

This paper cites Unlike prior text-based datasets, our dataset incorporates prosodic cues and detailed toxicity labels, enabling a more nuanced understanding of harmful speech.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Unlike prior text-based datasets, our dataset incorporates prosodic cues and detailed toxicity labels, enabling a more nuanced understanding of harmful speech

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.722370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74a29449-8c35-4438-8682-22a8bc893b5a · outbound

This paper cites Categorizing offensive language in social networks: A Chinese corpus, systems and an explainable tool,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Categorizing offensive language in social networks: A Chinese corpus, systems and an explainable tool,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:36.748461Z

Source-reported events for the cited work

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Observation 3e95cc73-f657-461c-8194-aeacccd6c20d · outbound

This paper cites Bullying in the digital age: a critical review and meta- analysis of cyberbullying research among youth.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Bullying in the digital age: a critical review and meta- analysis of cyberbullying research among youth

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.583332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe5c6d78-2995-4459-8c8f-0350bd14546b · outbound

This paper cites On- line networks of racial hate: A systematic review of 10 years of research on cyber-racism,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality On- line networks of racial hate: A systematic review of 10 years of research on cyber-racism,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.428617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 913c2840-d0b8-4044-9c22-9a95f778b9d2 · outbound

This paper cites COLD: A benchmark for Chinese offensive language detection,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality COLD: A benchmark for Chinese offensive language detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.287629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 930a58d1-b755-4fc2-9e4e-ceca877f2fb7 · outbound

This paper cites Code-switching and identity constructions in taiwan tv commercials,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Code-switching and identity constructions in taiwan tv commercials,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.183702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f448c6c8-54e1-4497-aae0-938b7d0c7e3c · outbound

This paper cites RTP-LX: Can LLMs evaluate toxi- city in multilingual scenarios?.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality RTP-LX: Can LLMs evaluate toxi- city in multilingual scenarios?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:37.056997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc7ac83f-4078-45ad-94a5-93ec76518866 · outbound

This paper cites Facilitat- ing fine-grained detection of Chinese toxic language: Hierarchical taxonomy, resources, and benchmarks,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Facilitat- ing fine-grained detection of Chinese toxic language: Hierarchical taxonomy, resources, and benchmarks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:36.903903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d20457aa-7ad6-41cf-a7f4-863238938c9a · outbound

This paper cites SWITCH- BOARD: Telephone speech corpus for research and develop- ment,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality SWITCH- BOARD: Telephone speech corpus for research and develop- ment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:35.905974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f683d903-9dc7-49db-a0e4-85f3dd592aef · outbound

This paper cites TOCP: A dataset for Chinese profanity processing,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality TOCP: A dataset for Chinese profanity processing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:36.625379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f7542245-57f4-4792-bf13-136ce8f71eac · outbound

This paper cites DeToxy: A Large-Scale Multimodal Dataset for Toxicity Clas- sification in Spoken Utterances,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality DeToxy: A Large-Scale Multimodal Dataset for Toxicity Clas- sification in Spoken Utterances,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:36.465007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24b4de27-7367-422e-b863-c4669ac811de · outbound

This paper cites toxic” and “non-toxic.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality toxic” and “non-toxic

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:38.119396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation efe3632b-31c3-4ee4-a566-e7179131a479 · outbound

This paper cites MuTox: Universal MUltilingual audio-based TOXicity dataset and zero- shot detector,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality MuTox: Universal MUltilingual audio-based TOXicity dataset and zero- shot detector,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:36.356825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9caa3de-37e8-471e-ba12-01252425881e · outbound

This paper cites ADIMA: Abuse Detection In Multilingual Audio,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality ADIMA: Abuse Detection In Multilingual Audio,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:36.208356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8844641a-e0b1-4380-b3eb-a852b200b753 · outbound

This paper cites MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:32.541725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9695ce3-34f9-4bfd-b745-b052e3c98c4a · outbound

This paper cites Common V oice: A Massively-Multilingual Speech Corpus,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Common V oice: A Massively-Multilingual Speech Corpus,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:36.070800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66071322-9757-4aa5-b7b7-669446609592 · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:32.771868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a5e51a4-0039-4bd6-9e07-6f4a33cb39ab · outbound

This paper cites Building a Taiwanese Mandarin Spoken Language Model: A First Attempt,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Building a Taiwanese Mandarin Spoken Language Model: A First Attempt,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:35.791238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3fd2936f-0382-4f98-9835-8a655bc49824 · outbound

This paper cites Leave no knowledge behind during knowledge distillation: Towards practical and effective knowledge distillation for code-switching asr using realistic data,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Leave no knowledge behind during knowledge distillation: Towards practical and effective knowledge distillation for code-switching asr using realistic data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:35.653653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d840b51a-2e27-4b39-b3f8-a0dd6c327e0e · outbound

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

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality BERT: Pre- training of deep bidirectional transformers for language under- standing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:35.442404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a4e22f8-86f2-4b4f-a732-ca440038a7a9 · outbound

This paper cites Antiso- cial behavior in online discussion communities,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Antiso- cial behavior in online discussion communities,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:35.162559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 679f5d7f-9988-4852-a5cd-83bae2a4478b · outbound

This paper cites Online Harassment, Digital Abues, and Cyberstalking in America,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Online Harassment, Digital Abues, and Cyberstalking in America,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:35.047108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3bc587c2-8e26-4a80-be29-4f859ddfabaf · outbound

This paper cites GPT-4o System Card.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality GPT-4o System Card

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:33.270705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa0b2bc-f24e-4760-b419-de9f0a2a7571 · outbound

This paper cites Toxicity in multilingual machine trans- lation at scale,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Toxicity in multilingual machine trans- lation at scale,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:34.909438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 61cb2fd5-4150-4030-84ab-adef0fb5e702 · outbound

This paper cites SONAR: sentence- level multimodal and language-agnostic representations,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality SONAR: sentence- level multimodal and language-agnostic representations,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:34.751277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e9aba0b-6235-4b62-820e-ace5ca1b24aa · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Rep- resentation Learning at Scale,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality XLS-R: Self-supervised Cross-lingual Speech Rep- resentation Learning at Scale,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:34.584766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 785a8d91-3de1-4fb7-83e9-8aa8711ec63e · outbound

This paper cites SUPERB: Speech Processing Universal PER- formance Benchmark,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality SUPERB: Speech Processing Universal PER- formance Benchmark,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:34.441903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f84f79c-df86-495c-88d8-29ee68c3cfa1 · outbound

This paper cites emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:34.315606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 274edffa-3a4a-4313-bd62-5e7f124a6983 · outbound

This paper cites Emo- bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Emo- bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:34.193137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3bcec5c4-3024-42eb-928b-036885542269 · outbound

This paper cites On the social bias of speech self-supervised models,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality On the social bias of speech self-supervised models,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:33.638146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a00e35d-2fad-45f7-bd57-002bbbec206f · outbound

This paper cites Handling bias in toxic speech detection: A survey,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Handling bias in toxic speech detection: A survey,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:34.076206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 154b38e0-0be2-4a92-ae6a-c592229176d1 · outbound

This paper cites Spoken Stereoset: on Evaluating Social Bias Toward Speaker in Speech Large Lan- guage Models,.

ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality Spoken Stereoset: on Evaluating Social Bias Toward Speaker in Speech Large Lan- guage Models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:33.976976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 16c90474-a0fd-4b2c-b593-e394bf17189f · inbound