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Paper Citation Record · LEDGER

LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations

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.

pith.paper-citation-record.v1
2606.21098 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:15:50.571646Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:15:50.571646Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:39:38.099282Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34b09469-445c-48ff-adeb-df12fa7e72f6 · outbound

This paper cites 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 LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations

Reference 1

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local_arxiv, observed 2026-07-04T06:39:38.100545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation c9424819-5107-4f59-90cb-2edb90db8096 · outbound

This paper cites Evaluating Phrase Break Annotations Let an utteranceW={w 1, w2,.

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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no resolver link, observed 2026-06-26T14:15:50.571646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e04cbfbd-bf66-4c17-bfc1-8fa9a592b9f7 · outbound

This paper cites GPT”), only claude-sonnet-4-20250514(“Claude.

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

This paper cites Comparison of Evaluation Methods We compare acceptance behavior across three evaluation meth- ods: (1) single-reference evaluation, (2) human judgment, and (3) LMRE.

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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Observation b4325af8-0b73-4944-b035-d310f620428d · outbound

This paper cites an unresolved cited work.

LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:bdd02a4f5f48ed54218c579ea358d56db1b6ec18fbf60cd57b00fe064e52fde1

Observation f571eefc-69e3-40aa-9e43-bc5bac21a3a5 · outbound

This paper cites The tool did not contribute to the scientific content, analysis, results, or conclusions of this work.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:c69c37c4780d43f9c3052676d17c17c064b4f8000fa99e97e30fb82dd2114b71

Observation b3be3cae-6598-4ef8-b249-9edbae12b07c · outbound

This paper cites Prosodic phrasing is cen- tral to language comprehension,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:53eca90716c8cf0658204172173529148a6fab9b55b75be46cb50dc59102bdfb

Observation 5564f593-f1c6-4284-ad28-09e911ac5af2 · outbound

This paper cites Rhythmic cues to speech segmenta- tion: Evidence from juncture misperception,.

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

This paper cites A linguistically mo- tivated analysis of intonational phrasing in text-to-speech sys- tems: Revealing gaps in syntactic sensitivity,.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:4895a3cdc0a318188839fab1adcc69adce96428c4e6e4127654916e4bb35a2f4

Observation d3d599de-aa0f-4c12-aa06-3ecf0481569f · outbound

This paper cites Incorporating second- order information into two-step major phrase break prediction for korean,.

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

This paper cites Phrase break prediction for long-form reading tts: Exploiting text structure information,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:3dd11e5ee53a508a79f533ec3aecb505102d7a1fa892a40b533e2f77def8edc8

Observation 103000ce-d000-4cbe-beaf-52a8874fc63c · outbound

This paper cites Phrase break prediction with bidirectional encoder representations in japanese text-to-speech synthesis,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:fc1d5bcf1408b9d9168921900d428e6af1dc8c6ffad64f6ca596df2156516ef1

Observation e960368f-fb1a-430c-adac-367b9d7d204d · outbound

This paper cites An Investigation of Recur- rent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:1a3e98ba6595330417f693b1d6c95af4278e66ea11ed9e1248b7c88567129312

Observation 0ed4586f-05e7-4804-937e-eb5ec56be967 · outbound

This paper cites Intonational phrase break prediction for text-to-speech synthesis using dependency rela- tions,.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:dc025d70414d484a3a76f5465cb6a599c4f1f19744a14be2ae25d4a602ff53c3

Observation 06654b1d-c7d7-4f12-b6a6-dbf1eb1b3d74 · outbound

This paper cites Synthetic Data Gen- eration for Phrase Break Prediction with Large Language Model,.

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

This paper cites Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech,.

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

This paper cites Pausespeech: Natural speech synthesis via pre-trained language model and pause-based prosody modeling,.

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

This paper cites Prosodyfm: unsu- pervised phrasing and intonation control for intelligible speech synthesis,.

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

This paper cites Modeling prosodic phrasing with multi-task learning in tacotron-based TTS,.

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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Unavailable: canonical work link unavailable.

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Observation cc57ab1f-c443-4c3e-93b0-1b6c2d6e4660 · outbound

This paper cites Pause Prediction from Text for Speech Synthesis with User-Definable Pause Insertion Likelihood Threshold,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:d2040f14f4e66e854b55da5ae33bc95dd4f4e6022aae6633daaeb3cbfaeab048

Observation e84d64fd-188c-4664-ae82-f03878ee7a33 · outbound

This paper cites Learning continuous-valued word representations for phrase break prediction,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:83e9f01a5d3fb038084b3261e70a0afe85e99c6d5069ce290aa38d150d9e81dc

Observation 2e107622-10ac-428c-98aa-603faa0d006e · outbound

This paper cites Prosodic phrase break prediction: Problems in the evaluation of models against a gold standard,.

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

This paper cites A flexible approach to the mapping of intonational phrases,.

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

This paper cites Flexible syntax–prosody mapping of intonational phrases in the context of varying verb height,.

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

This paper cites A Grammar Based Approach to Style Specific Phrase Prediction.

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

This paper cites Assessing phrase break of esl speech with pre-trained language models and large language models,.

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

This paper cites G-eval: NLG evaluation using gpt-4 with better human alignment,.

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

This paper cites Judging LLM-as-a-judge with MT-bench and chatbot arena,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:2c1d6bcb46405bf0b6ebe42f078ecad2611c02542d29d2d4cc4ea39c92429f37

Observation c6891d56-0c28-4da6-b10e-67d3b89bfc73 · outbound

This paper cites Prometheus: Inducing fine-grained evaluation capability in language models,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:ec138948d9c8ccbc45f3f9f900ba01d2435f37f08ea074ff726038d66fb1199a

Observation 30631d72-4cd8-4566-a0fa-52d899851383 · outbound

This paper cites Large language models are state-of- the-art evaluators of translation quality,.

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

This paper cites Not all metrics are guilty: Improving NLG evaluation by diversifying references,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:d1f9e9e90afed99bcd1cc50a955d70a5b684868b220f73b9def818466f9ed0f5

Observation ea6baf2b-4e72-4b3d-ae6c-90d526f7360e · outbound

This paper cites On learning to summarize with large language mod- els as references,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:d2122e91b980c4e9de38eccb306b2efa7a5e130b3d897ded63685327fc043895

Observation d1fce3d5-b2f7-49b5-9877-28a2ddb1137c · outbound

This paper cites Towards multiple refer- ences era – addressing data leakage and limited reference diversity in machine translation evaluation,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:cfd557a19bee4025f914ec06394cef215b776276314360636d9421451cc75cdb

Observation 7079cbb6-5dd9-4dc2-9447-bf96dd522efd · outbound

This paper cites Reviseval: Improving LLM-as-a-judge via response-adapted references,.

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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source=pdf_text observed=2026-06-26T14:15:50.571646Z digest=sha256:e03dbdfb01cb1a37eababec046e28c86ed109c117833734be0e845a9fe056203

Observation ad2858a3-539c-4425-abf3-4cf0f207458c · outbound

This paper cites Perception of the strength of prosodic breaks in three conditions: Explicit pause, implicit pause, and no pause,.

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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no resolver link, observed 2026-06-26T14:15:50.571646Z

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This paper cites Batch prompting: Efficient in- ference with large language model APIs,.

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

This paper cites Cross-lingual transfer learning for phrase break prediction with multilingual lan- guage model,.

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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Pith citing papers

Observation 34b09469-445c-48ff-adeb-df12fa7e72f6 · inbound

LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations cites this paper.

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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