Paper Citation Record · LEDGER

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.18510.

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

pith.paper-citation-record.v1
2506.18510 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:19.274868Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:17.515242Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:21:20.484824Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy16
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a708c13a-33d0-460e-89cb-4d8a5b64c002 · outbound

This paper cites Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:21:20.609880Z

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.

Observation 61ae0e5b-e4bc-4a35-ad26-84ecbb26f167 · outbound

This paper cites Base sentences were converted into IPA phoneme se- quences, and TTS rules were applied to edit phonemes and sim- ulate disfluencies.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Base sentences were converted into IPA phoneme se- quences, and TTS rules were applied to edit phonemes and sim- ulate disfluencies

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:26.718945Z

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.

Observation 1dcb8873-6a41-4d54-8c52-c4ecd145adab · outbound

This paper cites Preparing Textual Data Preparing the Textual Input: To prompt the LLM effectively, we prepared various types of textual input.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Preparing Textual Data Preparing the Textual Input: To prompt the LLM effectively, we prepared various types of textual input

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:26.284782Z

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.

Observation 444c001a-5884-4754-9431-fe623fc9c985 · outbound

This paper cites Table 2 summarizes the perfor- mance of our model against this baseline.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Table 2 summarizes the perfor- mance of our model against this baseline

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:25.807499Z

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.

Observation f2b43282-91d9-4b11-80d6-eced6df78708 · outbound

This paper cites Smooth- LLaMa leverages contextual understanding to refine noisy data, achieving precise outputs even with imperfect textual inputs, such as word- or phoneme-level alignments.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Smooth- LLaMa leverages contextual understanding to refine noisy data, achieving precise outputs even with imperfect textual inputs, such as word- or phoneme-level alignments

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:25.545945Z

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.

Observation 91ebcc86-c4aa-42c8-aa96-eb71162736d6 · outbound

This paper cites Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.436072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b46c0210-db90-4886-ac3d-54ce3db4c18e · outbound

This paper cites Reverb: Open-Source ASR and Diarization from Rev.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Reverb: Open-Source ASR and Diarization from Rev

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.039166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e08674b7-1840-4984-8665-91c85312e7e8 · outbound

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

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Robust speech recognition via large-scale weak supervision,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.204911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b42b41-8b23-4f26-957c-59f20cb5d2e6 · outbound

This paper cites Less is more: Accu- rate speech recognition & translation without web-scale data,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Less is more: Accu- rate speech recognition & translation without web-scale data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:24.376752Z

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.

Observation 75e22c7a-861e-4758-a83e-52f5852e1894 · outbound

This paper cites Unconstrained dysfluency modeling for dysfluent speech transcription and de- tection,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Unconstrained dysfluency modeling for dysfluent speech transcription and de- tection,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.334043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c8f80e-8c97-407e-89ca-c88a2927e88b · outbound

This paper cites Towards hierarchical spoken language disfluency modeling,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Towards hierarchical spoken language disfluency modeling,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:24.117591Z

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.

Observation 1a9cf003-0ee6-4573-b151-359e3a7db6d9 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Conformer: Convolution-augmented transformer for speech recognition,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.707918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae27bc5e-6224-4070-8c44-7fae7cc20544 · outbound

This paper cites GPT-4 Technical Report.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts GPT-4 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.486240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec9b16b9-7f54-4eb9-bb12-9f008091e032 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.531477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054c52f6-c37e-4275-9ed4-2fe1523a362a · outbound

This paper cites Large language models for dysfluency detection in stuttered speech,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Large language models for dysfluency detection in stuttered speech,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:23.821066Z

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.

Observation 67e78092-3aa8-46ec-828b-db7c9f1a71dd · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:23.598466Z

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.

Observation 05625e2d-094b-4297-a692-883342fdbec8 · outbound

This paper cites CrisperWhisper: Accurate Timestamps on Verbatim Speech Transcriptions.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts CrisperWhisper: Accurate Timestamps on Verbatim Speech Transcriptions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.666015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9abc30c7-9a14-4868-889e-2c4ff377a884 · outbound

This paper cites Lib- rispeech: An asr corpus based on public domain audio books,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Lib- rispeech: An asr corpus based on public domain audio books,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:22.104756Z

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.

Observation 817380d4-ac2d-4706-b36c-4200bbed70f8 · outbound

This paper cites Simple and effective zero-shot cross-lingual phoneme recognition,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Simple and effective zero-shot cross-lingual phoneme recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:23.215976Z

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.

Observation 0c653bf1-f3bc-4e7b-b553-fc9eefc2ad48 · outbound

This paper cites Montreal forced aligner: Trainable text-speech align- ment using kaldi,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Montreal forced aligner: Trainable text-speech align- ment using kaldi,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:22.896758Z

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.

Observation 81d29d56-3c51-45d9-9d8f-647f8d553d1f · outbound

This paper cites Yolo-stutter: End-to-end region-wise speech dys- fluency detection,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Yolo-stutter: End-to-end region-wise speech dys- fluency detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.846407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d49407-c0b4-4ec9-a604-495c3695fe3f · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:18.905210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f444ca8-2e65-4357-af7b-c47e6d8b17b2 · outbound

This paper cites All epochs were necessary, as LLaMa struggled to generate timestamps early on.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts All epochs were necessary, as LLaMa struggled to generate timestamps early on

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:26.017076Z

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.

Observation f81b33d5-dc12-4ce2-bb2b-17a6c85da590 · outbound

This paper cites You only look once: Unified, real-time object detection,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts You only look once: Unified, real-time object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:22.367303Z

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.

Observation fd312b7e-f483-4a45-89bb-dd0296a20dde · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:19.081003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002e573c-4d99-408a-abea-0caf7cd7a076 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Qlora: Efficient finetuning of quantized llms,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:21.890593Z

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.

Observation b7c22bee-3e77-4c3e-8c14-c537640e86ac · outbound

This paper cites Using bfloat16 with tensorflow models,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Using bfloat16 with tensorflow models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:21.563479Z

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.

Observation 0f7c5b92-4dd8-4c82-917d-02e17f778ee2 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Lora: Low-rank adaptation of large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:21.245246Z

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.

Observation 6b6b9cea-24b7-49ec-868e-9c8537ce47c3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts Decoupled Weight Decay Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:19.274868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a708c13a-33d0-460e-89cb-4d8a5b64c002 · inbound