Paper Citation Record · LEDGER

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech

As of 6 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2606.13006.

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

pith.paper-citation-record.v1
2606.13006 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:01:06.123832Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:05:46.290721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T18:25:57.625215Z

Reference resolution

32 of 32 outbound references displayed

verified exact12
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0602683-3f44-4ad9-bf99-daf45befde38 · outbound

This paper cites EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.824383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1e3a42cb-96e3-42ee-ac61-55644710ba99 · outbound

This paper cites Emosphere++: Emotion-controllable zero-shot text-to-speech via emotion-adaptive spherical vector.IEEE Transactions on Affective Computing,.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Emosphere++: Emotion-controllable zero-shot text-to-speech via emotion-adaptive spherical vector.IEEE Transactions on Affective Computing,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3a1e5a-178e-4381-a343-edf0bda18470 · outbound

This paper cites CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:08:37.825991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4204593c-fc9f-4124-8cdf-9f14e988a36f · outbound

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

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:08:37.818515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c2ffcc77-b07d-4c7b-b7c3-0cda487bd762 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech KTO: Model Alignment as Prospect Theoretic Optimization

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:08:37.813471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ed1a0137-e1fb-4536-9d97-99db0e063b81 · outbound

This paper cites Emo-dpo: Control- lable emotional speech synthesis through direct preference optimization.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Emo-dpo: Control- lable emotional speech synthesis through direct preference optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7034a4f5-78c3-4857-ab2b-29040c71e3ba · outbound

This paper cites Emodiff: Intensity controllable emotional text-to-speech with soft-label guidance.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Emodiff: Intensity controllable emotional text-to-speech with soft-label guidance

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62678f1f-a044-42c1-aec6-f4b2dfff9dc1 · outbound

This paper cites Prompttts: Controllable text-to- speech with text descriptions.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Prompttts: Controllable text-to- speech with text descriptions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f0b187-0c9b-421c-a721-97fcaae5ee3d · outbound

This paper cites Emoq-tts: Emotion inten- sity quantization for fine-grained controllable emotional text-to-speech.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Emoq-tts: Emotion inten- sity quantization for fine-grained controllable emotional text-to-speech

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224a7794-ec69-4500-bbc4-ca45bddc7547 · outbound

This paper cites Msemotts: Multi-scale emotion transfer, pre- diction, and control for emotional speech synthesis.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Msemotts: Multi-scale emotion transfer, pre- diction, and control for emotional speech synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab35441-594c-4a66-83ec-51761a191242 · outbound

This paper cites PromptTTS 2: Describing and Generating Voices with Text Prompt.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech PromptTTS 2: Describing and Generating Voices with Text Prompt

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.816124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation de575780-db0d-4bd7-9924-e1ba52d9c663 · outbound

This paper cites Remax: A simple, effective, and efficient reinforcement learning method for aligning large language models.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Remax: A simple, effective, and efficient reinforcement learning method for aligning large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f1495d-9e6f-4f79-a3da-cda3d4d303cd · outbound

This paper cites Emorl-tts: Reinforcement learning for fine-grained emotion control in llm-based tts.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Emorl-tts: Reinforcement learning for fine-grained emotion control in llm-based tts

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.810991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6126ec2a-4d13-49ab-8417-b9a97cba858d · outbound

This paper cites Ece-tts: A zero-shot emotion text-to- speech model with simplified and precise control.Applied Sciences, 15(9):5108,.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Ece-tts: A zero-shot emotion text-to- speech model with simplified and precise control.Applied Sciences, 15(9):5108,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0b45c3-20cb-4969-85a6-bfda3861fce0 · outbound

This paper cites Lipo: Listwise preference optimization through learning- to-rank.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Lipo: Listwise preference optimization through learning- to-rank

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b230726-68d6-4a4f-9026-264d6c9f1f44 · outbound

This paper cites Direct preference optimization for speech autoregressive diffusion models.arXiv preprint arXiv:2509.18928,.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Direct preference optimization for speech autoregressive diffusion models.arXiv preprint arXiv:2509.18928,

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.804614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 874a12aa-4885-42fc-8957-705072b9090b · outbound

This paper cites emotion2vec: Self-supervised pre-training for speech emotion representation.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech emotion2vec: Self-supervised pre-training for speech emotion representation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8922d62-d0fb-4c6a-990d-4c59296eed29 · outbound

This paper cites NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.814833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c2f77f61-7bcc-4689-aac1-114102dac8c6 · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Robust speech recognition via large-scale weak supervision

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d204d82d-de04-43a3-8567-414414c432fa · outbound

This paper cites Direct preference optimization: Your lan- guage model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741,.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Direct preference optimization: Your lan- guage model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 986be545-38d1-4250-be13-a10340596702 · outbound

This paper cites Dnsmos: A non-intrusive perceptual objec- tive speech quality metric to evaluate noise suppressors.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Dnsmos: A non-intrusive perceptual objec- tive speech quality metric to evaluate noise suppressors

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81729b71-9f35-464e-9ad1-d4821e72da85 · outbound

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

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.793689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1404ad9b-7e31-4d19-ba85-61a37dd8bcb2 · outbound

This paper cites Improving emotional tts with an emotion intensity input from unsupervised extraction.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Improving emotional tts with an emotion intensity input from unsupervised extraction

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8080804c-5fde-4f1c-a321-3d8627b3349b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Proximal Policy Optimization Algorithms

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:08:37.823715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 59dbf4f6-22fa-4c45-a421-c77e4add0e49 · outbound

This paper cites Preference ranking optimization for human alignment.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Preference ranking optimization for human alignment

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c48d176-ef32-4487-9fa6-1bd0340d2ef1 · outbound

This paper cites Fine-grained emotional control of text- to-speech: Learning to rank inter-and intra-class emo- tion intensities.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Fine-grained emotional control of text- to-speech: Learning to rank inter-and intra-class emo- tion intensities

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a76dd7-ca4c-4cea-868b-4f588e4efb93 · outbound

This paper cites Laugh now cry later: Controlling time-varying emotional states of flow-matching-based zero-shot text-to-speech.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Laugh now cry later: Controlling time-varying emotional states of flow-matching-based zero-shot text-to-speech

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a3cf80-d631-49ed-a555-cec21c04858a · outbound

This paper cites RLAIF-SPA: Structured AI Feedback for Semantic-Prosodic Alignment in Speech Synthesis.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech RLAIF-SPA: Structured AI Feedback for Semantic-Prosodic Alignment in Speech Synthesis

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:08:37.799226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ecdfbf8e-7c56-42bc-8214-012bbc56dd42 · outbound

This paper cites TS-align: A teacher-student collaborative framework for scalable iterative finetuning of large lan- guage models.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech TS-align: A teacher-student collaborative framework for scalable iterative finetuning of large lan- guage models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404d4c5d-a7f2-4f4c-8bca-76eff04cbb5a · outbound

This paper cites PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:08:37.821400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 06574a1f-879b-48d7-b34f-95e68bfb9f58 · outbound

This paper cites SLiC-HF: Sequence Likelihood Calibration with Human Feedback.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:37.812263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9e6d83b0-6738-442d-88a5-4c6acddf9e09 · outbound

This paper cites Emoshift: Lightweight activation steering for enhanced emotion-aware speech synthesis.

Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech Emoshift: Lightweight activation steering for enhanced emotion-aware speech synthesis

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T06:01:06.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 719054ca-f69c-4db1-a36e-4f28ccc518e8 · inbound

HPRO: Hierarchical Progressive Reward Optimization via Preference Extraction for Emotional Text-to-Speech cites this paper.

HPRO: Hierarchical Progressive Reward Optimization via Preference Extraction for Emotional Text-to-Speech Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:57.626494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.