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Paper Citation Record · LEDGER

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 4 inbound Pith citation observations for arXiv:2501.10734.

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

pith.paper-citation-record.v1
2501.10734 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:06:00.182562Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:11.238384Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:38.794980Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d478f487-ce17-4588-9930-bde551e0ddab · outbound

This paper cites Automatic speech recognition errors detection and correction: A review,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Automatic speech recognition errors detection and correction: A review,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.600253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.056203Z digest=sha256:d2fa307154c030428b763e97e9b3e33588df0c2907d1da162bb71a39ad1a00b0

Observation 35d6fcfc-c1ff-40a1-be04-d6f58397718b · outbound

This paper cites Huang, A.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Huang, A

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.584348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.062115Z digest=sha256:1091a8cd1207757587316d8033049224c05c9b6bd21b7f725821c416f7ea0565

Observation f5ab9086-efc4-4eac-b230-bb432742699b · outbound

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

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.067519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.067519Z digest=sha256:bb126b2fddcb854fcae2851c6fd2c01c015f8158ea81acf569dce71f5e9e98bb

Observation 127df92d-abf6-4e63-ae96-d05da648a869 · outbound

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

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Robust speech recognition via large-scale weak super- vision,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.558171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.073250Z digest=sha256:7ca11c004e100842b496a1111fed5be09afdeeb43220765280719eead51f5c69

Observation d2361abd-da18-4a46-9175-e328493dce0c · outbound

This paper cites A comparison of techniques for language model integration in encoder-decoder speech recognition,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems A comparison of techniques for language model integration in encoder-decoder speech recognition,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.542721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.080779Z digest=sha256:0959048d1ebeb9c6fbb805e71c37ce6446371b42d5db7a667ad3b92c979bebde

Observation e10493ce-fbf2-43b4-9f95-8cab224fef6a · outbound

This paper cites Effective sentence scoring method using bert for speech recognition,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Effective sentence scoring method using bert for speech recognition,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.527120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.086355Z digest=sha256:e97eca934b7b25d8b2833d34742e9d5192f199f5d53b5eec96a61d3b6dcf14a0

Observation d19509f5-c139-45d4-aeba-cb19508a5f4c · outbound

This paper cites A spelling correction model for end-to-end speech recognition,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems A spelling correction model for end-to-end speech recognition,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.511496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.092346Z digest=sha256:4d212651b38240eaa57be95f7f146c8b6a2bb5528452c01f84d2e7e2f9e359ff

Observation 3d6699d9-16cd-4da8-aaef-4c1c2bc3c40c · outbound

This paper cites Component fusion: Learning replaceable language model component for end-to-end speech recognition system,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Component fusion: Learning replaceable language model component for end-to-end speech recognition system,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.495952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.097658Z digest=sha256:f280e5df8399cc604c7439db7328d0ab6f4b3c3fabf1cba903040611396bf1c7

Observation a47511f3-18c4-4333-80a6-a42747def439 · outbound

This paper cites Correction of automatic speech recognition with transformer sequence-to-sequence model,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Correction of automatic speech recognition with transformer sequence-to-sequence model,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.480308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.103023Z digest=sha256:ef2049e63cf48656883d0e2c05f61ff5f3b4745818e6966995a5a2de93bc8ece

Observation 04749183-260d-4c88-93d7-7746bf126108 · outbound

This paper cites A density ratio approach to language model fusion in end-to-end automatic speech recognition,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems A density ratio approach to language model fusion in end-to-end automatic speech recognition,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.464950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.108287Z digest=sha256:1776c593a978c7ce4d7f602c9842f5f9153edf85c87603d345f9f28015d88d35

Observation 21a1bfbb-29eb-4422-aea1-b7ea4e756b29 · outbound

This paper cites Asr error correction with augmented transformer for entity retrieval,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Asr error correction with augmented transformer for entity retrieval,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.448043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.113200Z digest=sha256:316abd4205136b8b7044f1f804d1949e709ca6243101ab32b7b86bd200c7c1c9

Observation 8bf85785-95bc-4a57-9cbc-83d3704e77b2 · outbound

This paper cites Asr n-best fusion nets,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Asr n-best fusion nets,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.431654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.118871Z digest=sha256:d584a7d65f09f4a8bcc02cac6420634d83753230a1b9ec00bafd28dd626fc78d

Observation c759d999-62ac-45fd-8d85-c3cc39705293 · outbound

This paper cites Error Correction in ASR using Sequence-to-Sequence Models.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Error Correction in ASR using Sequence-to-Sequence Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:06:00.364179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.124312Z digest=sha256:88311ef7006022b48fd6d9106887eb55e61b2475ab8290d792f62a80621dbdcd

Observation eddead2c-4257-4f9e-b946-65518b88490a · outbound

This paper cites End-to-end speech recognition: A survey,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems End-to-end speech recognition: A survey,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.415711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.129975Z digest=sha256:96f2ce06fc7c4943cf7d6f7738e11070a7a753e7cc506b71cee0b3005a65e295

Observation d157ac09-e534-46d3-9a6e-8c619af1da2e · outbound

This paper cites N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.135123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.135123Z digest=sha256:ae19d5a2eadad5318437ceefc17d08ebc1d8983e07a52f11cf7ff991b83c9eca

Observation 447dc917-a41f-4578-9e3e-07dc57453abb · outbound

This paper cites Can Generative Large Language Models Perform ASR Error Correction?.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Can Generative Large Language Models Perform ASR Error Correction?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.140251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.140251Z digest=sha256:a649deff5bfc7fd5eec274d78caaa5bd666fecffc687484f4cb3c2ea1546debf

Observation d0c4ebd5-e111-4e94-a286-f426b9464a23 · outbound

This paper cites ASR Error Correction using Large Language Models.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems ASR Error Correction using Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.145659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.145659Z digest=sha256:f9f0fc7093a23dcc53b220fedac49307411e26fa66326951460ed3e0701d3db7

Observation 0fd3f3cd-c451-4b54-b478-ee019afb7456 · outbound

This paper cites Inves- tigating asr error correction with large language model and multilingual 1-best hypotheses,.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Inves- tigating asr error correction with large language model and multilingual 1-best hypotheses,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.398681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.150762Z digest=sha256:361f3f3cebf47f16261e177d0be64c5494f891b5647fbd1f9c21801a44154fbb

Observation 6948a077-e4da-48a2-a371-ba9e3337e25b · outbound

This paper cites Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.155678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.155678Z digest=sha256:ec6ddb3b14afbad4fe059477e61e1d961e542a26d4b377f7c79b32f98f33683f

Observation 727b63db-20b2-4ab4-ad9b-9976ba9b85f5 · outbound

This paper cites LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.160920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.160920Z digest=sha256:42cda79baa4981dd988ba5a62489476fc7f9ffcb06de4cee8432d583acef3c15

Observation 20926583-54eb-4359-8a36-a5a6d95459ad · outbound

This paper cites Retrieval Augmented Correction of Named Entity Speech Recognition Errors.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Retrieval Augmented Correction of Named Entity Speech Recognition Errors

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.166495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.166495Z digest=sha256:1759cf1a83a4178818cd739a42cbea25b2cae0e66bceba049ec4a2b0e4b1d2d9

Observation 650324cb-9cda-46c3-b2e9-1a4d1034eb9d · outbound

This paper cites Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.171762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.171762Z digest=sha256:4fb3aad673d25805e71c1a68541280e3e30f162bb5cc46bec2191d6a582ec394

Observation 25ec685e-f88d-4f85-bacc-0734e8079e47 · outbound

This paper cites Sammut and G.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Sammut and G

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:00.381929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:00.177494Z digest=sha256:88e5ff9de61db3663f0d1c47b7a37e6a7f1048ef896431e6de587f110d1b87aa

Observation e45163ec-a30c-4ba3-9c74-163985ba9022 · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems Common Voice: A Massively-Multilingual Speech Corpus

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:00.182562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:00.182562Z digest=sha256:9f4086d907dfeb09e564092e7eb5bdf4336ddc00fdea6dc9e2d17b26d8c90897

Pith citing papers

Observation c4bc998c-d348-4a20-a126-c387a2143f1e · inbound

BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM cites this paper.

BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:25:11.238384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:11.238384Z digest=sha256:c15458ccac509b256e4da874d3e16ebe18f9c6881caf022490872e4cce7fdda6

Observation cc3e7746-1b60-4f67-9806-c95cf3ffcb24 · inbound

Non-Intrusive Automatic Speech Recognition Refinement: A Survey cites this paper.

Non-Intrusive Automatic Speech Recognition Refinement: A Survey GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:35:45.893557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T23:34:52.249143Z digest=sha256:420556ed52c494375f9d96c8c5d88fededd62ebbf13110f834fc2b02141e5037

Observation bb4b1fe9-07e1-4aa1-9261-a8daf8c12c05 · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:31.912606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:31.912606Z digest=sha256:1dddc72bb34d49c20d93b5d6677e5436b9ee7d013ee8454def06cea260d1b9ec

Observation 24254e03-542a-4f09-86ea-b9e55ace02f2 · 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 GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:49:38.797209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T14:05:38.396096Z digest=sha256:1cc0ae2e9995f5d307011f3906ab61852c589161eec3a329d5576c85ce10b6d8