Paper Citation Record · LEDGER

Customizing Speech Recognition Model with Large Language Model Feedback

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.11091.

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

pith.paper-citation-record.v1
2506.11091 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:23:21.424241Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact3
verified fuzzy19
unresolved15
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb1b7e32-3d60-45bc-bb1e-9ee6622d7a4b · outbound

This paper cites Recent advances in end-to-end automatic speech recog- nition,.

Customizing Speech Recognition Model with Large Language Model Feedback Recent advances in end-to-end automatic speech recog- nition,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:24.604065Z

Source-reported events for the cited work

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Observation 86831cb6-9b16-426b-94b6-b3567e8811e4 · outbound

This paper cites Adaptation algorithms for neural network-based speech recognition: An overview,.

Customizing Speech Recognition Model with Large Language Model Feedback Adaptation algorithms for neural network-based speech recognition: An overview,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:24.562128Z

Source-reported events for the cited work

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Observation 529c4b05-6ec9-47aa-b11d-c81b98f56829 · outbound

This paper cites Self-taught learning: transfer learning from unlabeled data,.

Customizing Speech Recognition Model with Large Language Model Feedback Self-taught learning: transfer learning from unlabeled data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:24.481039Z

Source-reported events for the cited work

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Observation 9b7045eb-1164-42a8-9371-379abd366742 · outbound

This paper cites Confidence estimation for attention-based sequence-to- sequence models for speech recognition,.

Customizing Speech Recognition Model with Large Language Model Feedback Confidence estimation for attention-based sequence-to- sequence models for speech recognition,

Reference 4

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Source-reported events for the cited work

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Observation 86368eb2-c7cd-410d-b44d-66e316a2869d · outbound

This paper cites GPT-4 Technical Report.

Customizing Speech Recognition Model with Large Language Model Feedback GPT-4 Technical Report

Reference 5

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Source-reported events for the cited work

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Observation 7eb71aa5-2aa7-4a64-9eaf-f85e6d59ad3c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Customizing Speech Recognition Model with Large Language Model Feedback DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:19.095721Z

Source-reported events for the cited work

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Observation 7e08c232-b1fd-4a92-986a-15770e029242 · outbound

This paper cites Phi-4 Technical Report.

Customizing Speech Recognition Model with Large Language Model Feedback Phi-4 Technical Report

Reference 7

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Source-reported events for the cited work

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Observation 1e48e473-20c1-4f4a-9ac0-d5b31b7ef0ce · outbound

This paper cites Massively multilingual shal- low fusion with large language models,.

Customizing Speech Recognition Model with Large Language Model Feedback Massively multilingual shal- low fusion with large language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:24.314400Z

Source-reported events for the cited work

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Observation c62d28d2-74fe-4c6b-a316-3d15f22ee6cf · outbound

This paper cites Prompting large language models for zero-shot domain adaptation in speech recognition,.

Customizing Speech Recognition Model with Large Language Model Feedback Prompting large language models for zero-shot domain adaptation in speech recognition,

Reference 9

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Observation 44882cc1-91f0-4e3b-90ec-1d898921b02b · outbound

This paper cites Large- scale language model rescoring on long-form data,.

Customizing Speech Recognition Model with Large Language Model Feedback Large- scale language model rescoring on long-form data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:23.878509Z

Source-reported events for the cited work

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Observation 6dbdb574-c1e9-4537-a403-547288ec51e7 · outbound

This paper cites Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over.

Customizing Speech Recognition Model with Large Language Model Feedback Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:23:22.072896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

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

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

Reference 12

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Source-reported events for the cited work

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Observation 0a299357-0e87-473f-b7f1-eed56817a4fd · outbound

This paper cites Denoising lm: Pushing the limits of error correction models for speech recognition,.

Customizing Speech Recognition Model with Large Language Model Feedback Denoising lm: Pushing the limits of error correction models for speech recognition,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:19.611678Z

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Observation 3d2994fa-2781-4bee-95f5-10bd8e34c2ee · outbound

This paper cites Asr error correction using large language models,.

Customizing Speech Recognition Model with Large Language Model Feedback Asr error correction using large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:23.694877Z

Source-reported events for the cited work

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Observation 5d048594-1648-40b9-aefa-cd1829d0ea38 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Customizing Speech Recognition Model with Large Language Model Feedback Constitutional AI: Harmlessness from AI Feedback

Reference 15

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Source-reported events for the cited work

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Observation 9e272212-0a67-482e-b5a1-9831005a09d1 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

Customizing Speech Recognition Model with Large Language Model Feedback Direct Language Model Alignment from Online AI Feedback

Reference 16

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Source-reported events for the cited work

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Observation a3e38b82-6e67-402f-9760-cb58cccbffb0 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Customizing Speech Recognition Model with Large Language Model Feedback Direct preference optimization: Your language model is secretly a reward model,

Reference 17

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Source-reported events for the cited work

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Observation 5b3ec5fa-61e2-49b3-9e52-c6e6be981ce6 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Customizing Speech Recognition Model with Large Language Model Feedback DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

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Source-reported events for the cited work

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Observation f2243a19-6600-4acf-834e-95e4d29fc1d2 · outbound

This paper cites Boost- ing cross-domain speech recognition with self-supervision,.

Customizing Speech Recognition Model with Large Language Model Feedback Boost- ing cross-domain speech recognition with self-supervision,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:23.559476Z

Source-reported events for the cited work

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Observation 89f52bff-4dff-417e-a769-e11174fbb605 · outbound

This paper cites An unsupervised deep domain adaptation approach for robust speech recognition,.

Customizing Speech Recognition Model with Large Language Model Feedback An unsupervised deep domain adaptation approach for robust speech recognition,

Reference 20

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Observation d0769e7a-3790-488a-b0c5-0d29de53fe66 · outbound

This paper cites A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.

Customizing Speech Recognition Model with Large Language Model Feedback A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:23:21.758766Z

Source-reported events for the cited work

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Observation 27a9c7cb-c3b0-4575-868e-c7b2f043da2f · outbound

This paper cites Toward domain-invariant speech recognition via large scale training,.

Customizing Speech Recognition Model with Large Language Model Feedback Toward domain-invariant speech recognition via large scale training,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:24.108576Z

Source-reported events for the cited work

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Observation c31ab385-546b-4e9f-a722-046cb75afce2 · outbound

This paper cites Large-Scale Domain Adaptation via Teacher-Student Learning.

Customizing Speech Recognition Model with Large Language Model Feedback Large-Scale Domain Adaptation via Teacher-Student Learning

Reference 23

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Source-reported events for the cited work

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Observation 7ae69405-dbd0-4c63-9ccb-1b56580e8abc · outbound

This paper cites Conditional teacher-student learning,.

Customizing Speech Recognition Model with Large Language Model Feedback Conditional teacher-student learning,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1eb3666e-3529-4e3b-970b-e7a5317639f0 · outbound

This paper cites Unsupervised domain adaptation for speech recognition via uncertainty driven self-training,.

Customizing Speech Recognition Model with Large Language Model Feedback Unsupervised domain adaptation for speech recognition via uncertainty driven self-training,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:23.096959Z

Source-reported events for the cited work

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Observation 099ba880-52ba-493d-a564-ca50e9cac7b8 · outbound

This paper cites Large-scale asr domain adaptation using self-and semi-supervised learning,.

Customizing Speech Recognition Model with Large Language Model Feedback Large-scale asr domain adaptation using self-and semi-supervised learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:22.978127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dba27fed-f028-4870-8bb4-654d97c8291d · outbound

This paper cites Improving pseudo-label training for end-to-end speech recognition using gradient mask,.

Customizing Speech Recognition Model with Large Language Model Feedback Improving pseudo-label training for end-to-end speech recognition using gradient mask,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:22.823834Z

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Observation cf8b171c-5cbf-4ccb-859f-f25fc9b68ab7 · outbound

This paper cites Self-taught recognizer: Toward unsupervised adaptation for speech foundation models,.

Customizing Speech Recognition Model with Large Language Model Feedback Self-taught recognizer: Toward unsupervised adaptation for speech foundation models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:22.720638Z

Source-reported events for the cited work

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Observation 356d1036-38e6-4a68-a7f7-f3ae033650fb · outbound

This paper cites Partitioning attention weight: Mitigat- ing adverse effect of incorrect pseudo-labels for self-supervised asr,.

Customizing Speech Recognition Model with Large Language Model Feedback Partitioning attention weight: Mitigat- ing adverse effect of incorrect pseudo-labels for self-supervised asr,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:22.602715Z

Source-reported events for the cited work

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Observation f32eb56d-06b1-4e60-9b0d-c4153d20bf92 · outbound

This paper cites Self-critical sequence training for automatic speech recognition,.

Customizing Speech Recognition Model with Large Language Model Feedback Self-critical sequence training for automatic speech recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:22.511535Z

Source-reported events for the cited work

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Observation afb642ee-43a6-4747-b897-dc0677e8739a · outbound

This paper cites Sequence-to-sequence asr optimization via reinforcement learning,.

Customizing Speech Recognition Model with Large Language Model Feedback Sequence-to-sequence asr optimization via reinforcement learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:22.402956Z

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Observation f29fe0b4-8ed5-46e1-bfe5-28abc0f0b9ef · outbound

This paper cites Reinforcement learning of speech recognition system based on policy gradient and hypothesis selection,.

Customizing Speech Recognition Model with Large Language Model Feedback Reinforcement learning of speech recognition system based on policy gradient and hypothesis selection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:23:22.224634Z

Source-reported events for the cited work

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Observation 93597800-d7a9-4053-93fb-d358917a779b · outbound

This paper cites A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce.

Customizing Speech Recognition Model with Large Language Model Feedback A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

Reference 33

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Source-reported events for the cited work

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Observation fc6e5a19-39b2-409b-9859-48adb058f373 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Customizing Speech Recognition Model with Large Language Model Feedback Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:21.217131Z

Source-reported events for the cited work

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Observation 66579e4f-bace-4736-81b5-770d26a6efa9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Customizing Speech Recognition Model with Large Language Model Feedback Proximal Policy Optimization Algorithms

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:21.294298Z

Source-reported events for the cited work

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Observation ee3b88f4-e140-46af-8de4-3d0929d34772 · outbound

This paper cites A Call for Clarity in Beam Search: How It Works and When It Stops.

Customizing Speech Recognition Model with Large Language Model Feedback A Call for Clarity in Beam Search: How It Works and When It Stops

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:23:21.583523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 24827675-146a-4610-84eb-654701662608 · outbound

This paper cites SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition.

Customizing Speech Recognition Model with Large Language Model Feedback SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:21.424241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.