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Paper Citation Record · LEDGER

Can Generative Large Language Models Perform ASR Error Correction?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:31.897516Z

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 2b7256e2-cac2-4f18-8525-017ac2f67645 · inbound

Large Language Models based ASR Error Correction for Child Conversations cites this paper.

Large Language Models based ASR Error Correction for Child Conversations Can Generative Large Language Models Perform ASR Error Correction?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:07:31.897516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:07:31.897516Z digest=sha256:4581e8e9e5e1d85ac3b369cdb4f83e7a04f08f6d9abe8a6596590f1b0a18a75a

Observation 08e7a852-e1e8-4c88-949c-afec5867f6b0 · inbound

LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context cites this paper.

LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context Can Generative Large Language Models Perform ASR Error Correction?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:15.308251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:15.308251Z digest=sha256:34de749fb27ed5a3abef67361c1ab691188dc571b922fc09e3079178b5bd5d4c

Observation 65d8ca03-48b5-499a-a033-3562f9bc9b44 · inbound

Leveraging LLM and Self-Supervised Training Models for Speech Recognition in Chinese Dialects: A Comparative Analysis cites this paper.

Leveraging LLM and Self-Supervised Training Models for Speech Recognition in Chinese Dialects: A Comparative Analysis Can Generative Large Language Models Perform ASR Error Correction?

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:18.234276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:45:18.234276Z digest=sha256:6d331d4c318271eab89a55a60267f3e13c9295d1038c6a33c2bfa3f85aab297d

Observation f2334377-8217-4782-9570-370dd76bed53 · inbound

Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition cites this paper.

Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition Can Generative Large Language Models Perform ASR Error Correction?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:17:58.378986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:17:58.378986Z digest=sha256:17874465bc56725b52142cf0e2a4bb6b5606c774cc4066857d9ca1d9c45c6f42

Observation 637e4b82-b995-47f0-a165-7a9c85592023 · inbound

LLM-based phoneme-to-grapheme for phoneme-based speech recognition cites this paper.

LLM-based phoneme-to-grapheme for phoneme-based speech recognition Can Generative Large Language Models Perform ASR Error Correction?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:56.185495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:56.185495Z digest=sha256:997fad93b7a229b26a20b163cc0db9f960c89c9de320016278e82bccb9ca4ad1

Observation 7ba4fb5f-6cf9-448a-b676-81a28b793df9 · inbound

DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction cites this paper.

DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction Can Generative Large Language Models Perform ASR Error Correction?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:37:55.500956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:37:55.500956Z digest=sha256:80426ff22e65aaa8c31a38de2ca5260adba34b7eeee500da6e42eb354f42d04f

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.

source=arxiv_source observed=2026-08-07T05:03:06.477869Z digest=sha256:54da3edb3a6d70eb269ac551485f218ab228c38adca5dc2657bf714ceeff1e76

Observation c432666d-971e-4d00-b228-9cd248959345 · inbound

Customizing Speech Recognition Model with Large Language Model Feedback cites this paper.

Customizing Speech Recognition Model with Large Language Model Feedback Can Generative Large Language Models Perform ASR Error Correction?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:23:19.554870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:23:19.554870Z digest=sha256:7a94524df83de2decbd582248df6ab332521aa4149f00e4cbed05ecde08b754c

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.

source=pdf_text observed=2026-08-06T15:13:09.428068Z digest=sha256:dbf512a511be6e3f2bc9ffceb25e537fc5a18b1847c8283890b84c14e7b3119d

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.

source=pdf_text observed=2026-08-05T10:16:04.856417Z digest=sha256:164f765c2e9e979883750dfe3763f1b8e15f0113aeeadfae19b7b32283c48fcb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T10:37:56.416600Z digest=sha256:5625ca498e7f6ebedef687b1b874c0249f5c2a7c988c7940eb8f0fd495ea68a6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:33:32.012025Z digest=sha256:cb6f5303e1b0168c5a0885d8c9001fd85aaaa098887d51e65247e62ee052aed8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:32:36.340161Z digest=sha256:5ff7a694c03fc499173f3cc51cd8619b7509ebdf4ad9f95836726291cf85707e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T04:37:26.452974Z digest=sha256:9857d0c5986ec54311fa0ea71e8ab6ca10b7af34743e184cda1a63224a25bd4b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T14:05:38.396096Z digest=sha256:16b51aaa1e958e47fe4c25c084e112c7d240a96d4b3cd74e3badd311c42ce3de