Paper Citation Record · LEDGER

Self-Improvement for Audio Large Language Model using Unlabeled Speech

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2507.20169.

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

pith.paper-citation-record.v1
2507.20169 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:52:49.886751Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:53:15.251788Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:53:15.386672Z

Reference resolution

35 of 35 outbound references displayed

verified exact2
verified fuzzy10
unresolved22
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8ba3bc5-c9d3-489c-88c0-baeb12cb0dba · outbound

This paper cites Language mod- els are few-shot learners,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Language mod- els are few-shot learners,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.734065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19912d0a-9069-4a27-96cd-5287d68f9453 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.739127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f04e8eeb-fc82-4505-9780-14b678bd09ea · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.743891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fdf5d1f-b198-4d7e-9318-0b7fc8e144fa · outbound

This paper cites WavLLM: Towards Robust and Adaptive Speech Large Language Model.

Self-Improvement for Audio Large Language Model using Unlabeled Speech WavLLM: Towards Robust and Adaptive Speech Large Language Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.748472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658df609-86f8-45fd-87ae-c90c2f2b8575 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

Self-Improvement for Audio Large Language Model using Unlabeled Speech SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.753434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ca8625-4bc6-453f-9764-de5bb852e6a2 · outbound

This paper cites SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation.

Self-Improvement for Audio Large Language Model using Unlabeled Speech SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-15T17:52:49.758102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1219bc16-6922-4ebd-8784-4eb23686b590 · outbound

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

Self-Improvement for Audio Large Language Model using Unlabeled Speech Prompting large language models with speech recognition abilities,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.763926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81147adf-56c8-4d61-b3a5-5ea661c2d6cf · outbound

This paper cites Noise-robust speech recognition with 10 minutes unparalleled in-domain data,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Noise-robust speech recognition with 10 minutes unparalleled in-domain data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.343388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5794534e-f06c-42e7-932f-d2f7d5d7aac1 · outbound

This paper cites Large Language Models Can Self-Improve.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Large Language Models Can Self-Improve

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.772074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9013bd3f-4e44-4b89-bcd1-2904e07f5243 · outbound

This paper cites Feature alignment by uncertainty and self-training for source-free unsupervised domain adaptation,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Feature alignment by uncertainty and self-training for source-free unsupervised domain adaptation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.330078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2cbc84a5-b221-4e60-a4f3-b4b2d8607589 · outbound

This paper cites Self- critical sequence training for image captioning,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Self- critical sequence training for image captioning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.780546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f7504f-351a-4da9-bfb4-f939643c9c2b · outbound

This paper cites Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Planning Case Study.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Planning Case Study

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.784563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8094ff38-7222-4227-93b7-cbf51fa21de8 · outbound

This paper cites Opera: Alleviating hallucination in multi- modal large language models via over-trust penalty and retrospection- allocation,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Opera: Alleviating hallucination in multi- modal large language models via over-trust penalty and retrospection- allocation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.308453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64a0015b-5c18-4c2e-be9f-28daba75ade6 · outbound

This paper cites Unsupervised domain adaptation by back- propagation,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Unsupervised domain adaptation by back- propagation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.792952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e10d1aec-24b9-4892-8f1e-a91f7a926993 · outbound

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

Self-Improvement for Audio Large Language Model using Unlabeled Speech An unsupervised deep domain adaptation approach for robust speech recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.287088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94cdb1b0-2bf3-4418-80bf-8f17281f608f · outbound

This paper cites Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:52:50.082604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44bf5459-0adf-41be-bcfe-26e2ca95ef5d · outbound

This paper cites Speech Translation with Large Language Models: An Industrial Practice.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Speech Translation with Large Language Models: An Industrial Practice

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.805012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591d0237-da1a-4c95-b6e5-550bf8b901c5 · outbound

This paper cites Zero- shot spoken language understanding via large language models: A preliminary study,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Zero- shot spoken language understanding via large language models: A preliminary study,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.275064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8c41e6ba-b84d-4f4b-93a4-d03b4893ffbb · outbound

This paper cites SpeechVerse: A Large-scale Generalizable Audio Language Model.

Self-Improvement for Audio Large Language Model using Unlabeled Speech SpeechVerse: A Large-scale Generalizable Audio Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.813356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb4d206-dbcd-4ba8-91e6-3560f48928d8 · outbound

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

Self-Improvement for Audio Large Language Model using Unlabeled Speech AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.817806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bafe0a09-d20e-494d-8a8f-e12641a163f3 · outbound

This paper cites LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT.

Self-Improvement for Audio Large Language Model using Unlabeled Speech LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.822351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a44c946-da3f-405b-ba78-b0482755dbee · outbound

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

Self-Improvement for Audio Large Language Model using Unlabeled Speech SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.826562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 577b1a68-00e5-4988-9c31-2ae4a8858268 · outbound

This paper cites Spirit-lm: Interleaved spoken and written language model,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Spirit-lm: Interleaved spoken and written language model,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.831358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21895f18-f986-4ed7-aacf-4a66dc443483 · outbound

This paper cites mSLAM: Massively multilingual joint pre-training for speech and text.

Self-Improvement for Audio Large Language Model using Unlabeled Speech mSLAM: Massively multilingual joint pre-training for speech and text

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.835256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7958f443-af49-4acc-bd5f-abbb6e366599 · outbound

This paper cites Qwen2-Audio Technical Report.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Qwen2-Audio Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.840026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17b7ed3-37c1-430a-b49d-28a6b760fbdc · outbound

This paper cites Are sixteen heads really better than one?.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Are sixteen heads really better than one?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.844834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f3e2be-e38f-4b8c-9fc4-8a3d36fca789 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.849862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d819a0f-2ea7-4f90-bc1a-1309283c94f4 · outbound

This paper cites Minimum word error rate training for attention-based sequence-to-sequence models,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Minimum word error rate training for attention-based sequence-to-sequence models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.244357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9f75467-0827-4393-a651-17da6ff18cb6 · outbound

This paper cites The 4th chime speech separation and recognition challenge,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech The 4th chime speech separation and recognition challenge,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.230888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 76c84e1b-1577-44f2-97b1-c5252b77da6b · outbound

This paper cites Freesound technical demo,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Freesound technical demo,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.216581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e151c0ef-d702-4bcd-b13d-3202f9d82018 · outbound

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

Self-Improvement for Audio Large Language Model using Unlabeled Speech Common Voice: A Massively-Multilingual Speech Corpus

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.868767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c10d56c-2816-4b63-aa7c-8b5431bc1f92 · outbound

This paper cites Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:52:49.941347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2e1cfa8-193a-445b-ab81-46d0b1ddb873 · outbound

This paper cites CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus.

Self-Improvement for Audio Large Language Model using Unlabeled Speech CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:49.877867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 546db52e-72d2-405e-989e-956518b8a9e8 · outbound

This paper cites Librisqa: A novel dataset and framework for spoken question answering with large language models,.

Self-Improvement for Audio Large Language Model using Unlabeled Speech Librisqa: A novel dataset and framework for spoken question answering with large language models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.203240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5efdfbc9-758d-4bb9-8a82-9b38fb63dd20 · outbound

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

Self-Improvement for Audio Large Language Model using Unlabeled Speech Direct preference optimization: Your language model is secretly a reward model,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:52:50.189370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation c6ffad54-5afe-4e4e-ae33-44ea1d23afc8 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture Self-Improvement for Audio Large Language Model using Unlabeled Speech

Reference 98

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:53:15.393564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.