Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T14:15:50.571646Z
Paper Citation Record · LEDGER
As of 3 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2606.21098.
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 2026-06-26T14:15:50.571646Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T14:15:50.571646Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T06:39:38.099282Z
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 34b09469-445c-48ff-adeb-df12fa7e72f6 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations
Reference 1
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LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Evaluating Phrase Break Annotations Let an utteranceW={w 1, w2,
Reference 2
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LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations GPT”), only claude-sonnet-4-20250514(“Claude
Reference 3
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Observation 74134d92-c7f4-4670-b238-7ead8e77ca33 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Comparison of Evaluation Methods We compare acceptance behavior across three evaluation meth- ods: (1) single-reference evaluation, (2) human judgment, and (3) LMRE
Reference 4
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Reference 5
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LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations The tool did not contribute to the scientific content, analysis, results, or conclusions of this work
Reference 6
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Observation b3be3cae-6598-4ef8-b249-9edbae12b07c · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Prosodic phrasing is cen- tral to language comprehension,
Reference 7
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LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Rhythmic cues to speech segmenta- tion: Evidence from juncture misperception,
Reference 8
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Observation e44deae7-992d-4542-bda9-782b45b6b79a · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations A linguistically mo- tivated analysis of intonational phrasing in text-to-speech sys- tems: Revealing gaps in syntactic sensitivity,
Reference 9
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Observation d3d599de-aa0f-4c12-aa06-3ecf0481569f · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Incorporating second- order information into two-step major phrase break prediction for korean,
Reference 10
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Observation fed264ca-bd72-4503-8034-50f69de81836 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Phrase break prediction for long-form reading tts: Exploiting text structure information,
Reference 11
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Observation 103000ce-d000-4cbe-beaf-52a8874fc63c · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Phrase break prediction with bidirectional encoder representations in japanese text-to-speech synthesis,
Reference 12
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Observation e960368f-fb1a-430c-adac-367b9d7d204d · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations An Investigation of Recur- rent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction
Reference 13
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Observation 0ed4586f-05e7-4804-937e-eb5ec56be967 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Intonational phrase break prediction for text-to-speech synthesis using dependency rela- tions,
Reference 14
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Observation 06654b1d-c7d7-4f12-b6a6-dbf1eb1b3d74 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Synthetic Data Gen- eration for Phrase Break Prediction with Large Language Model,
Reference 15
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Observation 8d79fd7f-6471-42c5-9740-3076886f4d2b · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech,
Reference 16
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Observation eca2aed8-a937-4ecb-813a-20766e82d0cd · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Pausespeech: Natural speech synthesis via pre-trained language model and pause-based prosody modeling,
Reference 17
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Observation 1b24249f-483d-4296-9651-d21f5a17305d · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Prosodyfm: unsu- pervised phrasing and intonation control for intelligible speech synthesis,
Reference 18
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Observation 6aa74402-57b1-483c-b93c-936ae8060e96 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Modeling prosodic phrasing with multi-task learning in tacotron-based TTS,
Reference 19
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Observation cc57ab1f-c443-4c3e-93b0-1b6c2d6e4660 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Pause Prediction from Text for Speech Synthesis with User-Definable Pause Insertion Likelihood Threshold,
Reference 20
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Observation e84d64fd-188c-4664-ae82-f03878ee7a33 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Learning continuous-valued word representations for phrase break prediction,
Reference 21
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Observation 2e107622-10ac-428c-98aa-603faa0d006e · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Prosodic phrase break prediction: Problems in the evaluation of models against a gold standard,
Reference 22
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Observation af9a6ef6-237c-424b-b59a-6c7d501defed · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations A flexible approach to the mapping of intonational phrases,
Reference 23
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Observation 2e41a4ea-1b3a-42ca-bf5a-de90856307d2 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Flexible syntax–prosody mapping of intonational phrases in the context of varying verb height,
Reference 24
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Observation e7bc32ba-0f15-4e64-abb7-fa69df3fa8fc · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations A Grammar Based Approach to Style Specific Phrase Prediction
Reference 25
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Observation b319592b-ab50-4514-b904-f4e660947bc5 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Assessing phrase break of esl speech with pre-trained language models and large language models,
Reference 26
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Observation 234035ab-9dde-4792-a783-53ff8e164100 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations G-eval: NLG evaluation using gpt-4 with better human alignment,
Reference 27
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Observation 6555b9a4-e52d-43b6-8bd6-27ad6d7c3593 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Judging LLM-as-a-judge with MT-bench and chatbot arena,
Reference 28
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Observation c6891d56-0c28-4da6-b10e-67d3b89bfc73 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Prometheus: Inducing fine-grained evaluation capability in language models,
Reference 29
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Observation 30631d72-4cd8-4566-a0fa-52d899851383 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Large language models are state-of- the-art evaluators of translation quality,
Reference 30
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Observation 668c2b9c-5605-4b05-b331-4a6b8378af92 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Not all metrics are guilty: Improving NLG evaluation by diversifying references,
Reference 31
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Observation ea6baf2b-4e72-4b3d-ae6c-90d526f7360e · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations On learning to summarize with large language mod- els as references,
Reference 32
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Observation d1fce3d5-b2f7-49b5-9877-28a2ddb1137c · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Towards multiple refer- ences era – addressing data leakage and limited reference diversity in machine translation evaluation,
Reference 33
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Observation 7079cbb6-5dd9-4dc2-9447-bf96dd522efd · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Reviseval: Improving LLM-as-a-judge via response-adapted references,
Reference 34
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Observation ad2858a3-539c-4425-abf3-4cf0f207458c · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Perception of the strength of prosodic breaks in three conditions: Explicit pause, implicit pause, and no pause,
Reference 35
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Observation cc7f6a54-904f-4a8c-953d-149f59b80fa0 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Batch prompting: Efficient in- ference with large language model APIs,
Reference 36
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Observation 35d67796-0858-45f5-9584-e41b7081c7d5 · outbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Cross-lingual transfer learning for phrase break prediction with multilingual lan- guage model,
Reference 37
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Observation 34b09469-445c-48ff-adeb-df12fa7e72f6 · inbound
LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations
Reference 1
Source-reported events for the cited work
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