Paper Citation Record · LEDGER

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2506.04076.

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

pith.paper-citation-record.v1
2506.04076 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:52:25.835968Z

measured 24 of 24 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 2026-08-07T10:52:25.766494Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:52:25.910613Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy10
unresolved9
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee1eba20-1b01-4879-b42e-f8254418d849 · outbound

This paper cites um” and “uh.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems um” and “uh

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T10:52:26.064507Z

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 d5f6ea0f-e353-4454-95b0-7418d18eaa0b · outbound

This paper cites Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T10:52:25.916304Z

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 c9f232a6-749f-4750-b772-5cd39f69a062 · outbound

This paper cites This was the target for our Closed Track system.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems This was the target for our Closed Track system

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:26.055429Z

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 34f5c26c-d29c-4926-aea7-a94446805c16 · outbound

This paper cites This was used in post-challenge experi- ments.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems This was used in post-challenge experi- ments

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:26.046397Z

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 38ffa1dc-66bd-407c-bb79-6f314723e6df · outbound

This paper cites um”, “uh.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems um”, “uh

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:26.037007Z

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 4d0fbfe6-5dd6-4365-a0c7-3a24b8519ebd · outbound

This paper cites an unresolved cited work.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:52:26.026827Z

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 4abfadef-d37f-4621-baa0-c24f0032aae5 · outbound

This paper cites Final transcripts were scored using standard word error rate (WER) with the S&I evaluation toolkit.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Final transcripts were scored using standard word error rate (WER) with the S&I evaluation toolkit

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:26.017189Z

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 194407bb-f863-4615-9afa-68c103477529 · outbound

This paper cites Extra”) consistently outperforms both omission (“Pure.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Extra”) consistently outperforms both omission (“Pure

Reference 8

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T10:52:26.008050Z

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 2c6dc466-2b53-4ec9-ae05-4211f21276ed · outbound

This paper cites Extra” transcription scheme—where acoustically precise filled pauses (e.g., “um.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Extra” transcription scheme—where acoustically precise filled pauses (e.g., “um

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:25.998706Z

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 1eae0ab7-657b-47fb-98ae-1552c0ee6938 · outbound

This paper cites an unresolved cited work.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:52:25.989439Z

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 8371955b-d311-428a-84dd-7f01f648bf51 · outbound

This paper cites The ntnu sys- tem at the interspeech 2020 non-native children’s speech asr chal- lenge,.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems The ntnu sys- tem at the interspeech 2020 non-native children’s speech asr chal- lenge,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:25.980138Z

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 d2237566-51e1-4880-85e9-b7444d423172 · outbound

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

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Robust speech recognition via large-scale weak supervision,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:25.801501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786daa11-54ca-4e16-8c94-0d032d6c48bb · outbound

This paper cites Towards end-to-end spoken grammatical error correction,.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Towards end-to-end spoken grammatical error correction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:25.964598Z

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 f2d717d6-9c1b-438e-a565-d282df34e47d · outbound

This paper cites Speak & Improve Challenge 2025: Tasks and Baseline Systems.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Speak & Improve Challenge 2025: Tasks and Baseline Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:25.808700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a843417a-783d-4fc0-b229-449a94054156 · outbound

This paper cites Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:25.812264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f42b0fb-58f7-4f98-86d3-23a1fc6df13e · outbound

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

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems LoRA: Low-rank adaptation of large language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:25.954482Z

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 c7bfad76-ae0d-4ea3-93f7-94e1a80de167 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Gemini: A Family of Highly Capable Multimodal Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:25.818825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f448e7-9d69-4758-a7be-267e131e7c27 · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:25.822376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cedd714-d6ab-49fd-b70d-41dc420fd8ee · outbound

This paper cites Decoupled weight de- cay regularization,.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Decoupled weight de- cay regularization,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:25.826620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04fc1da6-87db-47df-9b25-b60763e775a4 · outbound

This paper cites Audio aug- mentation for speech recognition,.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Audio aug- mentation for speech recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:25.936453Z

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 368ddeb7-8209-4448-98bb-3603d20b22ea · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition,.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:52:25.926533Z

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 d238d974-6f30-4f9e-9e95-fb9e0f62c125 · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:25.835968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d5f6ea0f-e353-4454-95b0-7418d18eaa0b · inbound