Paper Citation Record · LEDGER

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.00039.

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

pith.paper-citation-record.v1
2501.00039 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:37:43.712432Z

measured 35 of 35 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

35 of 35 outbound references displayed

verified exact2
verified fuzzy9
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b63fad4-9c5e-459f-bd50-b92c3813cfc1 · outbound

This paper cites The Llama 3 Herd of Models.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning The Llama 3 Herd of Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.548925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bacb8168-7c84-48b4-b96f-e5985e267623 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning PaliGemma: A versatile 3B VLM for transfer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.554790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5dfc98-aad5-4bbe-9d94-eb030693769f · outbound

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

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Gemini: A Family of Highly Capable Multimodal Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.559902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b79998-d6db-4aee-909c-491448a112ee · outbound

This paper cites Visual instruction tuning,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Visual instruction tuning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.272812Z

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 790dc13b-114f-4428-9a55-fd60acbbd6bd · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.570480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de8fffe-199d-4ac2-922d-ee5cd397be97 · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.575623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea3aa56-9b68-4d8e-9070-99c0803582ca · outbound

This paper cites Prompting large language models with speech recognition abilities,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Prompting large language models with speech recognition abilities,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.257884Z

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 593741ac-6b5b-4bac-8e19-394753a912fe · outbound

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

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Large- scale language model rescoring on long-form data,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.585716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c49b68f-1b25-450d-8d16-01d100ea34a0 · outbound

This paper cites Adapting gpt, gpt-2 and bert language models for speech recognition,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Adapting gpt, gpt-2 and bert language models for speech recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.232363Z

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 078ca27c-9dca-491b-8415-b64c9fe38552 · outbound

This paper cites Rescorebert: Discriminative speech recog- nition rescoring with bert,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Rescorebert: Discriminative speech recog- nition rescoring with bert,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.217144Z

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 9ed696b6-1258-47ee-9f46-0c62ccb8be1b · outbound

This paper cites On decoder-only architecture for speech-to-text and large language model integration,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning On decoder-only architecture for speech-to-text and large language model integration,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.599631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b07a1cf-c006-4967-be64-5fd4e3536c5a · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.604031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a051fe1c-1538-4e3e-af1a-e817a4acc30c · outbound

This paper cites Assessing ASR Model Quality on Disordered Speech using BERTScore.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Assessing ASR Model Quality on Disordered Speech using BERTScore

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.608978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb3fb43-bacd-48bc-af1a-2e61f0ab736d · outbound

This paper cites Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.613765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6469a6-7ae4-41ec-81ea-2ff839bf8e70 · outbound

This paper cites Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:37:43.968718Z

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 25d07bfe-9a6e-42f8-a51c-c305ca521a48 · outbound

This paper cites Large language models as a proxy for human evaluation in assessing the comprehensibility of disordered speech transcription,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Large language models as a proxy for human evaluation in assessing the comprehensibility of disordered speech transcription,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.191798Z

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 c068aa08-0391-4468-8675-10bac49321f8 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning BERTScore: Evaluating Text Generation with BERT

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.627174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f3a5a7-2b51-4fb2-b6af-984422fe9d00 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.631679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d52aa861-c76c-4501-8234-3927ac842b96 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.636183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff57ad9-efa4-441f-926d-0ead4ae47bcc · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.641130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647d54a2-b27c-4171-8e1d-1749c74059ea · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Gemma: Open Models Based on Gemini Research and Technology

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.646484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01dd0d97-e182-48f3-b2d2-0a1c6e8d040d · outbound

This paper cites Attention Is All You Need.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Attention Is All You Need

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.651395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dda1dd8c-ceb9-47cd-b132-51b7fff6bb24 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Fast Transformer Decoding: One Write-Head is All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.656333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bcfa2df-5901-480d-b72f-79af7642a9ee · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Librispeech: An asr corpus based on public domain audio books,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.661118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f183117-25a4-415c-973e-9a0c34d3a8f2 · outbound

This paper cites Disordered speech data collection: Lessons learned at 1 million utterances from project euphonia.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Disordered speech data collection: Lessons learned at 1 million utterances from project euphonia

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.165920Z

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 f0a82d79-8c48-42da-a019-3f28f8194a70 · outbound

This paper cites Au- tomatic speech recognition of disordered speech: Personalized models outperforming human listeners on short phrases.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Au- tomatic speech recognition of disordered speech: Personalized models outperforming human listeners on short phrases

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.149721Z

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 5716e530-6845-48b8-aabe-54f8ef929d2a · outbound

This paper cites Training language models to follow instructions with human feedback,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Training language models to follow instructions with human feedback,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.674626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f8a2d8-a599-40e0-a105-cdbeb8b1b93e · outbound

This paper cites Automatic speech recog- nition of conversational speech in individuals with disordered speech,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Automatic speech recog- nition of conversational speech in individuals with disordered speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.123498Z

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 26400659-40c8-4a9f-93dc-d29f51350340 · outbound

This paper cites Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.683816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e697c4-79f2-4b76-90ef-7f4fbee55be4 · outbound

This paper cites Scaling laws for reward model overoptimization,.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Scaling laws for reward model overoptimization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:37:44.108179Z

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 4faea8dc-623a-425c-b84a-d15495a440aa · outbound

This paper cites Reward Gaming in Conditional Text Generation.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Reward Gaming in Conditional Text Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.692891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4a72c2-4579-406e-9786-47ad96cedb5e · outbound

This paper cites Transforming and Combining Rewards for Aligning Large Language Models.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Transforming and Combining Rewards for Aligning Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.697884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3122e36-6e2e-45af-b66a-294be3db24d1 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.702896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa21228b-ce79-42c9-84ce-0697de9c81ed · outbound

This paper cites Mixtral of Experts.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Mixtral of Experts

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:43.707737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c642fc75-367e-4403-a5e8-60786b7e944c · outbound

This paper cites Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code.

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:37:43.758490Z

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.

Pith citing papers

No inbound Pith citation observations are available.