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Paper Citation Record · LEDGER

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2603.17837.

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

pith.paper-citation-record.v1
2603.17837 v5

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T22:57:11.059962Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T07:38:23.099479Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T07:39:48.784863Z

Reference resolution

47 of 47 outbound references displayed

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  • unresolved47
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation bb9d0133-6d02-4aea-88dd-36baf2f7653e · outbound

This paper cites Chain-of-thought reason- ing in streaming full-duplex end-to-end spoken dialogue systems.arXiv preprint arXiv:2510.02066,.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Chain-of-thought reason- ing in streaming full-duplex end-to-end spoken dialogue systems.arXiv preprint arXiv:2510.02066,

Reference 1

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:c43aa836aeeb644cb3e5c7baa448d9e9fdd0df308fd9fd62a91ceceb7018f36a

Observation 9d510468-0d3f-47c4-8646-d3a90a8337c2 · outbound

This paper cites Hi-Fi Multi-Speaker English TTS Dataset.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Hi-Fi Multi-Speaker English TTS Dataset

Reference 2

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:47dd41bff0b6c1c0633ad86bf2c782a7f3f55182fabb0c160c73c9044e7f7706

Observation 474683ad-c9b4-4769-ad6d-e029c8fb9afa · outbound

This paper cites Semantic parsing on freebase from question-answer pairs.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Semantic parsing on freebase from question-answer pairs

Reference 3

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:88ca839dffbf6fafe5e1a9927dba73ecafb38e1ff1ddabd7e53c28cebc966984

Observation e0e9e6db-0d4a-4668-b10f-e3e1c96971bf · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 4

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:1503f4515d5c5a585941d66ad64da0ea8c71b4d9c239fc93707051c46ae1e9c2

Observation 14def01a-745e-4d6a-afdd-61ac5d785093 · outbound

This paper cites VoiceBench: Benchmarking LLM-Based Voice Assistants.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning VoiceBench: Benchmarking LLM-Based Voice Assistants

Reference 5

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:3433df77a210a3327e7118224f6d3b803ec244f054a9418f06d48212f969c279

Observation f52a2973-25bd-42cc-a0a9-a649d6890532 · outbound

This paper cites SHANKS: Simultaneous Hearing and Thinking for Spoken Lan- guage Models.arXiv preprint arXiv:2510.06917, 2025a.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning SHANKS: Simultaneous Hearing and Thinking for Spoken Lan- guage Models.arXiv preprint arXiv:2510.06917, 2025a

Reference 6

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Observation 5394b79e-1633-4f4c-8cd5-c670fcbce4d6 · outbound

This paper cites Qwen2-Audio Technical Report.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Qwen2-Audio Technical Report

Reference 7

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:0c682e44c53d8cf890f2d91d28f0cdd445495cf22d4c562a4f1d65b394f07f2b

Observation 3434c926-3507-48f9-9abf-af20e547d63a · outbound

This paper cites Recent Advances in Speech Language Models: A Survey.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Recent Advances in Speech Language Models: A Survey

Reference 8

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:2cb611d9b0349284027cc98f3cefb3c4b7de705af23682c2aab9bfb6aeb6c0c6

Observation 33c47656-d8bf-491e-b0a1-b526eefd9fc5 · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Moshi: a speech-text foundation model for real-time dialogue

Reference 9

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:0bdd7c8d863a05a44351e1ac11d82bc262a4010852ad2d241a51217a6d95ae6f

Observation c58bc1b3-0d8f-48ec-af16-f5cc53905958 · outbound

This paper cites Kimi-Audio Technical Report.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Kimi-Audio Technical Report

Reference 10

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:6927e08def988b64c963d69c8f3e67915696ef8031900297061b84d28a75d80b

Observation 826f4b37-8d53-4394-8a6a-6f8347af9906 · outbound

This paper cites CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Reference 11

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:16ec062685e3bd11a422b35ebe668df672f0d6ac20aeb328457c4c7d9ee5629c

Observation ab86a6c2-310e-4f5a-be07-f856ac5976b2 · outbound

This paper cites an unresolved cited work.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Unresolved cited work

Reference 12

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:b7d040320f1ac3af4e62e01535d65ab7e5972fa3149beb529cae075b352f3460

Observation d2ac3df1-2c26-49ba-87e3-96ef60ae54c4 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Training Large Language Models to Reason in a Continuous Latent Space

Reference 13

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:25bc82ccb66eefe420cde217a17c82c65df9eaf812407434bf7f48e63cf543b5

Observation b0ce6e2a-d601-4417-9067-93248a6d57d2 · outbound

This paper cites SALM-Duplex: Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning SALM-Duplex: Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model

Reference 14

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:b1e3ace6eca26b1ba9cb674ccd2c4d23cd1d13597f8e91a24809c3a0856fc740

Observation 457513ec-88b7-47ab-8102-a3ce7a4f1a76 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 15

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:e69bbfcfed14efeeef1a59bf01e79cd8aa528234502ce36a99a2a26d4c4e0e4e

Observation 1e98dd93-68ae-4eab-a1ed-b55a96515d82 · outbound

This paper cites Auto-Encoding Variational Bayes.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Auto-Encoding Variational Bayes

Reference 16

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:d096e9edb4092c3d06f22617db45e6a717e89f767513c9fd050cf56d85fc4a09

Observation 61a7fc81-e1fd-4ad2-9495-741e023de833 · outbound

This paper cites Granary: Speech Recognition and Translation Dataset in 25 European Languages.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Granary: Speech Recognition and Translation Dataset in 25 European Languages

Reference 17

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:8623835aefc6485d7822398b8bbb34c282ec924e04bd09ace5f1412d3d96296c

Observation c8a9e07e-aa04-46ad-9641-b45a196526e6 · outbound

This paper cites NeMo: a toolkit for building AI applications using Neural Modules.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning NeMo: a toolkit for building AI applications using Neural Modules

Reference 18

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:6c71fe6baa30b23bd5bca306e96b63e0e6d9a175b7da49515aeb6a14a8573f37

Observation ecce569e-f6b6-4ab5-a71e-af81032600c7 · outbound

This paper cites Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction

Reference 19

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:5e7291fd041f3c19b209a01916d93ce68a1de8cc2b0c466f9ac670e5a760217d

Observation 78557d2d-64ad-4879-96b8-4f415f42d721 · outbound

This paper cites Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities

Reference 20

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:06ee4d99e36e5e7a8efcbc26553854fc3f3ce64ad3750a5e8eaf378a5530d7e9

Observation e0e5eadc-a061-4d3e-bffa-3745feb9afc9 · outbound

This paper cites Streaming automatic speech recognition with the transformer model.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Streaming automatic speech recognition with the transformer model

Reference 21

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:39eae663e01dffe44aab0fd70e13dd983a4c8611550d9b48fce99581677ef4e5

Observation f41ea930-1e84-4425-8d15-f62eaa6ab6c1 · outbound

This paper cites Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM

Reference 22

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Observation 60afcc20-fd25-4be1-b9e0-8fe381507e25 · outbound

This paper cites H., Constant, N., Ma, J., Hall, K., Cer, D., and Yang, Y.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning H., Constant, N., Ma, J., Hall, K., Cer, D., and Yang, Y

Reference 23

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Observation 7ea32e18-ea4d-4586-a8ce-a8c300c4d0ba · outbound

This paper cites an unresolved cited work.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Unresolved cited work

Reference 24

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:7c55e21550f668d28bf4108a3afe835c6498c37a438b6cd4eb61deb3b0238c85

Observation 1858b965-0bec-46b1-add9-46e5b56fe0b6 · outbound

This paper cites Instruction Data Generation and Unsupervised Adaptation for Speech Language Models.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Instruction Data Generation and Unsupervised Adaptation for Speech Language Models

Reference 25

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:aa1aa7b68fc58d1798f83fef9556b4032b1ce055c0d11870f914715808adf57c

Observation f97304c0-86cb-4f81-ad6a-402fb92f3522 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Robust Speech Recognition via Large-Scale Weak Supervision

Reference 26

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:dbcc866dae7541b4fd68800c06c72b491275b5d0f1dc42146e6bbe86de9d6688

Observation 8ce82ea1-117f-478e-9c8d-d7f567936326 · outbound

This paper cites UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

Reference 27

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:bc8a7e272f99dfadd396be4c0fe44157707dac548eaa26037ec834f631e7c74d

Observation 7c2f9138-9b45-4854-8c73-df59172ad631 · outbound

This paper cites Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning

Reference 28

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:82367fa99be9fc76e5e105fe78f9e0876f832449962724ff4dbacd524bec1ea3

Observation c7072f3b-1ca1-45fd-9f53-619e4e3538f8 · outbound

This paper cites CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 29

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:6f6487971edf8cd1a8e8424d63e3f94be4673ee8f7e1c5bcc85f04a5fa33e066

Observation 8ca2883b-4645-471d-bdec-9224cf7f7dfa · outbound

This paper cites Can Speech LLMs Think while Listening?arXiv preprint arXiv:2510.07497,.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Can Speech LLMs Think while Listening?arXiv preprint arXiv:2510.07497,

Reference 30

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:42781eef9e29737be80b57051b622bc2b84f48a8a821c0ea4f98157075493fc3

Observation 2105437f-5f52-41c9-8fcc-546792bfb950 · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning MUSAN: A Music, Speech, and Noise Corpus

Reference 31

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:b814c9affd32c84fc6116bfcdd49643a5377bd5297c3dcbaeebf2f77af48acf5

Observation 79c44f18-cf26-4f3d-80f1-19175b10b75d · outbound

This paper cites Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents

Reference 32

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:13eefd113c4e6beb7931ab8eacee63eb322901f0c6800f8fd1bf425930d9b3aa

Observation 5019d09b-47f9-45b6-b93a-ad688287f3ed · outbound

This paper cites MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark

Reference 33

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:ef2ba375ce9778261f29d061fe217a3cd4aea70a60033311c07be8c5d5fa5ebd

Observation baa5aeb6-f915-4bf1-9d7f-579f1722c107 · outbound

This paper cites Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

Reference 34

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:13c5401b3507e39a6081eb0bd4cf638d2073b4e025e4ca2abae5e078bb73494b

Observation ba0f5f43-1d2a-4f39-a81f-5867845aa20b · outbound

This paper cites Chronologi- cal Thinking in Full-Duplex Spoken Dialogue Language Models.arXiv preprint arXiv:2510.05150,.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Chronologi- cal Thinking in Full-Duplex Spoken Dialogue Language Models.arXiv preprint arXiv:2510.05150,

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:85f42ef0daca5bacb978090dfb356f2a74672b62bd51913a8bb70960d50064c3

Observation 679987d1-3981-4352-b8ab-4b0897ce2966 · outbound

This paper cites SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

Reference 36

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no resolver link, observed 2026-07-13T22:57:11.059962Z

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:59e19b17a9f8eb4e7bf048beec60ffb9a8e8401962340374cf8200bb1a7a5899

Observation 4d459a23-9ee9-43c1-aa4c-a75a110836bf · outbound

This paper cites SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation

Reference 37

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no resolver link, observed 2026-07-13T22:57:11.059962Z

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:54d053117c51019d2cf9ac127e0d8645d2172b786bf8a844addb2f6d36e6ea86

Observation a3e3b040-24e9-4bd0-af4c-de9eb4bcf776 · outbound

This paper cites LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 38

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no resolver link, observed 2026-07-13T22:57:11.059962Z

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:c02756d4535f5ab7a2c59516412aae088910e039492fb02a4bc63bba697c1591

Observation b84ee168-78db-49ea-a7d2-ab11bedccfc5 · outbound

This paper cites GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot

Reference 39

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no resolver link, observed 2026-07-13T22:57:11.059962Z

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:603092abfc73301d36add80ae7f32e11d4d0c4122877c589a5f152d9b9b84c09

Observation 378a30e5-adbd-43d8-8554-03af36bd5cac · outbound

This paper cites Pretraining Language Models to Ponder in Continuous Space.arXiv preprint arXiv: 2505.20674,.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Pretraining Language Models to Ponder in Continuous Space.arXiv preprint arXiv: 2505.20674,

Reference 40

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no resolver link, observed 2026-07-13T22:57:11.059962Z

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:9b33c39240b2c6399ec77dde6454344cb986f5afe660b81871146224b65cda75

Observation 43250acc-65c3-4b27-8c6e-8b5a384b7025 · outbound

This paper cites Ad- vances in variational inference.IEEE transactions on pattern analysis and machine intelligence, 41(8):2008– 2026,.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Ad- vances in variational inference.IEEE transactions on pattern analysis and machine intelligence, 41(8):2008– 2026,

Reference 41

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:7f7d22e4072b53652e9a982218492ea4718c7e501906d7745f02c16013908a50

Observation c7809fff-74ff-4b78-9c21-1ad5d1a17121 · outbound

This paper cites LLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning LLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems

Reference 42

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no resolver link, observed 2026-07-13T22:57:11.059962Z

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:7c25b2532a23d92056012d6542eb3e3e28176219255337dbb84b95902d7d72ae

Observation 5610d3c5-8fbd-408d-90c6-a413f3785ec4 · outbound

This paper cites an unresolved cited work.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Unresolved cited work

Reference 43

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unresolved
no resolver link, observed 2026-07-13T22:57:11.059962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:5d64524e4d224364768f4ec211dc0c7eb150c2c232b1eb4cb385701467369125

Observation 1833d1be-9f42-4a4a-8c6d-8c4a6dc66310 · outbound

This paper cites In total, over 100k distinct speech segments spanning more than 20k unique speakers are utilized to ensure high acoustic variance in the generated training data.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning In total, over 100k distinct speech segments spanning more than 20k unique speakers are utilized to ensure high acoustic variance in the generated training data

Reference 44

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unresolved
no resolver link, observed 2026-07-13T22:57:11.059962Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:a35825958596e6ce5c575c7fa28c0d2f1c2f8ea65ac404f56188c38ef9e1f413

Observation 69e3cbe9-1f05-4ec2-9d58-729a518109a3 · outbound

This paper cites During the training phase, these noise signals are dynamically superimposed onto the user speech stream with an injection probability of 50%.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning During the training phase, these noise signals are dynamically superimposed onto the user speech stream with an injection probability of 50%

Reference 45

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unresolved
no resolver link, observed 2026-07-13T22:57:11.059962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:e2736b3ca66a663b67e8c0fd582e36b018a434488ccb652096ff254331001b40

Observation 5de95c47-7f4e-45f2-8591-618d3adf84bf · outbound

This paper cites The LLM backbone is initialized from the Qwen2.5-7B-Instruct (Team, 2024).

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning The LLM backbone is initialized from the Qwen2.5-7B-Instruct (Team, 2024)

Reference 46

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unresolved
no resolver link, observed 2026-07-13T22:57:11.059962Z

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source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:be57c48097561c174d90ee209f62cb05aa9b94f34a7542515f2bf3b54b89f145

Observation 1ba8fd6f-a286-4576-a8d2-f33f8c40627f · outbound

This paper cites Response by FLAIR Sure! A simple way to clean a shower head is to remove it and soak it in white vinegar for about an hour.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Response by FLAIR Sure! A simple way to clean a shower head is to remove it and soak it in white vinegar for about an hour

Reference 47

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unresolved
no resolver link, observed 2026-07-13T22:57:11.059962Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:57:11.059962Z digest=sha256:e0678ecbc442291049d3ae13a97e9ba6d0949b77a719beea3051f2acd328ec83

Pith citing papers

Observation 034d76da-74bc-4a1f-8528-057f34dcb6a4 · inbound

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning

Reference 80

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verified exact
local_arxiv, observed 2026-05-21T07:39:48.786532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T07:38:23.099479Z digest=sha256:0d930eb19b8d0bc8a3fc3f24ea8c8362091e733f5b6f377e84038762ad77679c

Observation bb71d56b-dd68-4f85-b973-6eb3e8615c36 · inbound

A Survey of Audio Reasoning in Multimodal Foundation Models cites this paper.

A Survey of Audio Reasoning in Multimodal Foundation Models The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-21T02:09:24.229614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T02:08:06.976461Z digest=sha256:49b621d0f9a59dc47de3c79c66a15f1a45ae644959d5d16706b6a3096608cf88