Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:27:18.862726Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 4 inbound Pith citation observations for arXiv:2411.08742.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:27:18.862726Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:27:09.035252Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:06:14.987201Z
35 of 35 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6eb954aa-f084-49d8-8db4-50d79d9a2b1b · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Reference 1
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Observation 6ff3ebd0-44db-421a-9894-2979d38956c8 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
Reference 2
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Observation 23456119-33b2-4da6-add8-fe514bd79060 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Joint audio and speech understanding,
Reference 3
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Observation 6e62b8a9-7107-4498-b47f-c5ca2d5d5af3 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing
Reference 4
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Observation 3076aabb-f0ea-4552-a5c8-7ef942a19cbf · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models SALMONN: Towards Generic Hearing Abilities for Large Language Models
Reference 5
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Observation c0c7a3c8-2e85-41e5-a355-99e85750233b · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Listen, Think, and Understand
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Observation 521848cc-f4da-4827-9531-2271455e2d5c · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Robust speech recognition via large-scale weak supervision,
Reference 7
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Observation a66dcf6c-66a6-493a-9990-7bfec5c630e3 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Gpt understands, too,
Reference 8
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Observation 71f4d0f0-f464-49c7-9d48-1ef89d3200a9 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models The Llama 3 Herd of Models
Reference 9
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Observation 7bbd5fd5-980d-4558-b509-28cb3f8fc26a · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
Reference 10
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Observation 170843e4-0630-45f1-990f-8c4e1af0e4e9 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models AudioPaLM: A Large Language Model That Can Speak and Listen
Reference 11
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Observation 24bd0131-167e-4f7b-a166-f88184e25cc5 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation
Reference 12
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Observation 60664c76-d7d7-4c9a-969e-7c3de5b2481c · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Speechx: Neural codec language model as a versatile speech transformer,
Reference 13
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Observation 7fa2f6ae-5902-4c38-82b8-39591e1bd342 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
Reference 14
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Observation 55f5d35d-9936-416b-9b29-b9b152bf0ddc · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Audiolm: a language modeling approach to audio gener- ation,
Reference 15
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Observation 2bc9de5d-b41a-445f-abfd-74d7db6f0ef5 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Soundstream: An end-to-end neural audio codec,
Reference 16
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Observation 672b011b-79e9-410d-bba9-6e3e28c3c823 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models High Fidelity Neural Audio Compression
Reference 17
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Observation 50822111-5adc-4319-a15d-c9f891e2de73 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Exploring speech recognition, translation, and understanding with discrete speech units: A comparative study,
Reference 18
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Observation 356d2ddc-d1df-445f-a14b-4de49e4b8a80 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
Reference 19
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Observation 7a1ad01f-ee6c-414d-84e4-03dffcd0114b · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Towards universal speech discrete tokens: A case study for asr and tts,
Reference 20
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Observation d9bbb43a-ecf0-43c4-8371-73ad6f41a96b · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning
Reference 21
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Observation 7776c339-342b-49d3-99c4-f8fa16839187 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models DUB: Discrete Unit Back-translation for Speech Translation
Reference 22
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Observation 9718d6fb-5162-4022-a3d4-f4e39bee7bf9 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translation
Reference 23
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Observation 6ed88c8f-2b97-4591-82b0-d444df9ddbc0 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Hubert: Self-supervised speech representation learning by masked prediction of hidden units,
Reference 24
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Observation cb780119-a01e-4c6b-b447-88005b35fc5a · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Wavlm: Large-scale self-supervised pre-training for full stack speech processing,
Reference 25
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Observation 3acc62ca-a566-4402-9769-355e79bf9840 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding
Reference 26
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Observation 0025e7e7-563d-4a98-8780-d2b74dbe7812 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Exploring the Benefits of Tokenization of Discrete Acoustic Units
Reference 27
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Observation 84b0ac47-7e47-4997-8a23-cfa9ffef0375 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Qwen Technical Report
Reference 28
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Observation 581422a6-961a-40e9-afbc-1bd0a6e7bb77 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Lib- rispeech: an asr corpus based on public domain audio books,
Reference 29
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Observation 8a18530a-2ebd-472d-880f-03b06f2bb154 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
Reference 30
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Observation d8aa5c48-8c25-4d0a-9a87-dc0aa98cb69e · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Reference 31
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Observation c177e77d-0ef2-4974-bbd2-08304ef456e1 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models SLURP: A Spoken Language Understanding Resource Package
Reference 32
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Observation e349fbf4-20d2-4463-b182-15de8c85dcaa · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models GigaST: A 10,000-hour Pseudo Speech Translation Corpus
Reference 33
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Observation 38bde750-2dc5-4341-9082-c286faf1b590 · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models Iemocap: Interactive emotional dyadic motion cap- ture database,
Reference 34
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Observation 306a5808-2d7d-43e8-aecc-5b38f6d14baa · outbound
A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models LoRA: Low-Rank Adaptation of Large Language Models
Reference 35
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Observation cf075be4-d900-495b-b85f-80164947a406 · inbound
The ICME 2025 Audio Encoder Capability Challenge A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models
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Observation f5f248cf-2e0c-4431-ace5-6751d1a27ea2 · inbound
X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models
Reference 17
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Observation e76f0f9e-556f-4f76-80dd-868510da3a91 · inbound
Phonemes vs. Projectors: An Investigation of Speech-Language Interfaces for LLM-based ASR A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models
Reference 22
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Observation acbf8981-92f0-4987-8a6a-027fcc88c228 · inbound
MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models
Reference 50
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