Paper Citation Record · LEDGER

Can Generative Large Language Models Perform ASR Error Correction?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2307.04172.

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

pith.paper-citation-record.v1
2307.04172 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:06.477869Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:38.798515Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 63785e7e-4cf2-4155-a080-f6045dfb3d9a · inbound

PHRASED: Phrase Dictionary Biasing for Speech Translation cites this paper.

PHRASED: Phrase Dictionary Biasing for Speech Translation Can Generative Large Language Models Perform ASR Error Correction?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:06.477869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24aaadf6-36c6-4a5c-81e6-1d893ba8272e · inbound

An approach to measuring the performance of Automatic Speech Recognition (ASR) models in the context of Large Language Model (LLM) powered applications cites this paper.

An approach to measuring the performance of Automatic Speech Recognition (ASR) models in the context of Large Language Model (LLM) powered applications Can Generative Large Language Models Perform ASR Error Correction?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:13:09.428068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c73c2754-a00d-4cfb-9a52-9371bea6725a · inbound

Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition cites this paper.

Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition Can Generative Large Language Models Perform ASR Error Correction?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:04.856417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab9e13d-1702-4190-ae32-f1bfbafd0a5e · inbound

Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection cites this paper.

Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection Can Generative Large Language Models Perform ASR Error Correction?

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:40:51.438443Z

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 4df66289-2f45-4722-b3b7-f51118d23925 · inbound

Phonemes vs. Projectors: An Investigation of Speech-Language Interfaces for LLM-based ASR cites this paper.

Phonemes vs. Projectors: An Investigation of Speech-Language Interfaces for LLM-based ASR Can Generative Large Language Models Perform ASR Error Correction?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:59.468040Z

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 b084660b-4f48-4701-8b16-3885feac3a1f · inbound

Can Large Language Models Reliably Correct Errors in Low-Resource ASR? A Contamination-Aware Case Study on West Frisian cites this paper.

Can Large Language Models Reliably Correct Errors in Low-Resource ASR? A Contamination-Aware Case Study on West Frisian Can Generative Large Language Models Perform ASR Error Correction?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:33:03.863099Z

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 a345f4d9-a582-4936-8669-921f088e026b · inbound

Read What You Hear: Reference-Free Hypotheses Evaluation with Acoustic Discrepancy cites this paper.

Read What You Hear: Reference-Free Hypotheses Evaluation with Acoustic Discrepancy Can Generative Large Language Models Perform ASR Error Correction?

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:06:53.402370Z

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 90b84936-dd3e-410d-a493-09938e8eb9f5 · inbound

Error-Aware TF-IDF Retrieval-Augmented Generation for ASR Error Correction cites this paper.

Error-Aware TF-IDF Retrieval-Augmented Generation for ASR Error Correction Can Generative Large Language Models Perform ASR Error Correction?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:49:38.800849Z

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.