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Paper Citation Record · LEDGER

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.08477.

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

pith.paper-citation-record.v1
2507.08477 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:23:32.668885Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:23:25.005835Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:23:33.467120Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact3
  • verified fuzzy15
  • unresolved23
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 156696bd-aa2d-45c6-842a-fb27947413f6 · outbound

This paper cites ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition

Reference 1

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local_arxiv, observed 2026-08-06T18:23:33.618882Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation af06e858-c367-4381-9231-e073929fcec8 · outbound

This paper cites A detailed overview of the workflow is presented in Figure 1.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition A detailed overview of the workflow is presented in Figure 1

Reference 2

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 84e0262a-9713-42a1-8383-203c77ae34b6 · outbound

This paper cites Three-Stage Iterative Training Strategy Considering the time constraints of the competition, we em- ployed only three iterations of Iterative LoRA Training (3).

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Three-Stage Iterative Training Strategy Considering the time constraints of the competition, we em- ployed only three iterations of Iterative LoRA Training (3)

Reference 3

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0ccf8a45-b637-41aa-97b6-d1cd2d096c32 · outbound

This paper cites All experiments are carried out on the development set of the MLC- SLM benchmark 2.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition All experiments are carried out on the development set of the MLC- SLM benchmark 2

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:25.298750Z digest=sha256:0a7c8368c83cf1c4390cbdcbbd3d798e4403415d04ec8cc18acf41213f798c34

Observation 9877071c-750f-4df9-b1da-564420f0ffc9 · outbound

This paper cites In the MLC-SLM challenge, we design a three-stage training paradigm consisting of Focus, Feed Back, and Fix Training.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition In the MLC-SLM challenge, we design a three-stage training paradigm consisting of Focus, Feed Back, and Fix Training

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1c02f115-89f7-4ae5-83e8-44d92fe32814 · outbound

This paper cites Massively multilingual asr on 70 lan- guages: Tokenization, architecture, and generalization capabili- ties,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Massively multilingual asr on 70 lan- guages: Tokenization, architecture, and generalization capabili- ties,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 83cd045a-f503-4aae-8637-c2f15a95d581 · outbound

This paper cites Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:23:25.767429Z digest=sha256:399d0063959bc653f2eb79b17a31dec3435a11384f790d9f418d1f9c6564d7bb

Observation 9927ff6e-8da4-47aa-8962-27ab46746e2a · outbound

This paper cites Scaling end-to- end models for large-scale multilingual asr,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Scaling end-to- end models for large-scale multilingual asr,

Reference 8

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 662349f0-e9b8-41e2-ab19-d729dda4deb7 · outbound

This paper cites Multi- ple softmax architecture for streaming multilingual end-to-end asr systems.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Multi- ple softmax architecture for streaming multilingual end-to-end asr systems

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:26.044551Z digest=sha256:6783d085ad6adfe80be302f38d96f3bb0fd3c4f0c5817425ffcacabf7a79319d

Observation 5b2d1e05-7f3d-4286-913d-7eaf3d511211 · outbound

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

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Robust speech recognition via large-scale weak supervision,

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:26.133891Z digest=sha256:8be5c4778823da7ea0dd1a4de4d63343260996eaf58f6b5ae8422972150e2027

Observation cfd214f2-0176-4156-a9d7-c9ff9a3f600f · outbound

This paper cites Camel: Cross-attention enhanced mixture-of-experts and lan- guage bias for code-switching speech recognition,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Camel: Cross-attention enhanced mixture-of-experts and lan- guage bias for code-switching speech recognition,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d0f9a964-90cb-404c-bba0-e10ce735b957 · outbound

This paper cites OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:23:26.546836Z digest=sha256:5e307e33de5b5c536674029ad8cf56cd36205fd6a611ac71cc06daebbabfd3f1

Observation 8b222393-3db0-4a1a-a7ee-5d1065bd0210 · outbound

This paper cites Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern Languages.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern Languages

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:27.817012Z digest=sha256:cbeadc7ff25259ed3b1e9f07afb2284ff985e6b004659210aa5bdbf004e6f978

Observation b86788a4-2c7e-4b43-a654-ec5cb8c7fa97 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition LLaMA: Open and Efficient Foundation Language Models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:28.920653Z digest=sha256:06b8d20ebb41119ac274d11af887ff776ea0b5557f3c7c4fc18fe50a1b1ef895

Observation 9afb002b-e4a4-465d-8360-0c2f9d7de5d2 · outbound

This paper cites Qwen Technical Report.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Qwen Technical Report

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:29.038435Z digest=sha256:b8232edc8bb7dcf18917eb4da51b20f55de97eafb879c5ddafdef1dbcc477933

Observation 9fbab0fc-293b-4f29-b4f3-28875a120132 · outbound

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

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 16

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source=pdf_text observed=2026-08-06T18:23:29.156314Z digest=sha256:7550e199e4a25bd6e5863ed7390c3a0a090ed1512899367d64914a9cced5315e

Observation c90a16b4-b6b7-45ec-9518-f2d8c7894f60 · outbound

This paper cites Qwen2-Audio Technical Report.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Qwen2-Audio Technical Report

Reference 17

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source=pdf_text observed=2026-08-06T18:23:29.325772Z digest=sha256:b6aff6f85f10475c2c5c3ed6721826db6a8d72b908dd80437547e5e066fbdd69

Observation 4366ddc7-2694-4c2f-b87e-49673bfd9d37 · outbound

This paper cites Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Reference 18

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source=pdf_text observed=2026-08-06T18:23:29.533453Z digest=sha256:dd2d56526c8eabcce82a3af03c3310183522c534e4d9fbed275b2bae9026ffba

Observation 5aa08fd2-5733-43c3-b835-9d85a3c7b232 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Lora: Low-rank adaptation of large language models

Reference 19

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source=pdf_text observed=2026-08-06T18:23:29.705620Z digest=sha256:ad7bcf3432adddb3a422aca397e7a22eb61ffd87ad28b141fc238ed671b3f28f

Observation d2ddc2f9-9f1c-4d2e-9625-9ca709b050f8 · outbound

This paper cites LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR

Reference 20

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verified exact
local_arxiv, observed 2026-08-06T18:23:33.220326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:29.832167Z digest=sha256:68c5999f3128c86b3ea2d1298efd49bc16df5266221e3f113892d6be21281b8b

Observation 24f7b153-9974-4290-ba21-c537b02c4266 · outbound

This paper cites Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper

Reference 21

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source=pdf_text observed=2026-08-06T18:23:29.935401Z digest=sha256:773e87478766ed620aee7d2251d0f61edc7af4b49d82e9062031070aaa2f5434

Observation 2ff161af-aad9-46f6-b2e4-e1a651acd5cf · outbound

This paper cites Hdmole: Mixture of lora experts with hierarchical routing and dynamic thresholds for fine-tuning llm-based asr models,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Hdmole: Mixture of lora experts with hierarchical routing and dynamic thresholds for fine-tuning llm-based asr models,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:30.057663Z digest=sha256:789a667514df1c040bf3b9ab3f81b6e4b98a87ebcc79e711ac2752490454ce66

Observation 85c549dc-47ee-4d21-ac5e-cb5b235930a2 · outbound

This paper cites Iterative Pseudo-Labeling for Speech Recognition.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Iterative Pseudo-Labeling for Speech Recognition

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:30.169252Z digest=sha256:db8fe0d47885e4f5b873634c47f24f5d2293f8e4ef24cd54388012808cceb512

Observation bb7c81b0-4f57-4a0f-b35d-5b7eb4669e25 · outbound

This paper cites Improved noisy iterative pseudo- labeling for semi-supervised speech recognition,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Improved noisy iterative pseudo- labeling for semi-supervised speech recognition,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:30.235913Z digest=sha256:3839daadae15b11861843852f0ab23e415134c4ea3079ae3ac67e40919b378a4

Observation a6c9b74e-1045-44d6-bb92-f72e1d54c0f3 · outbound

This paper cites Improved Noisy Student Training for Automatic Speech Recognition.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Improved Noisy Student Training for Automatic Speech Recognition

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:30.359770Z digest=sha256:7243d6dae6dc6809aff46771465ecb1f6ed45b913b864f933d4c2c29c3d7e3c1

Observation 7e8ef0ec-df15-4510-85a5-737e0c8db6ab · outbound

This paper cites Semi-Supervised Learning with Data Augmentation for End-to-End ASR.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Semi-Supervised Learning with Data Augmentation for End-to-End ASR

Reference 26

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source=pdf_text observed=2026-08-06T18:23:30.510194Z digest=sha256:551c1ae250f413be3ed24cf687c139ed81ffe798705ef4b87002db4c2ae86ea7

Observation 77d25156-ca90-4c18-8a12-5b9066be865d · outbound

This paper cites Chinchunmei at wassa 2024 empathy and personality shared task: Boosting llm’s predic- tion with role-play augmentation and contrastive reasoning cali- bration,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Chinchunmei at wassa 2024 empathy and personality shared task: Boosting llm’s predic- tion with role-play augmentation and contrastive reasoning cali- bration,

Reference 27

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raw_fallback, observed 2026-08-06T18:24:25.791511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:30.634598Z digest=sha256:c9724bd535d62dcf2d576b25cc503062cc096525a6e4d1d69d2e201eb8b6a7ee

Observation fd193eb7-7b6c-400d-a19f-991c87a53793 · outbound

This paper cites PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization

Reference 28

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source=pdf_text observed=2026-08-06T18:23:30.789669Z digest=sha256:6a53c945ff03e17e9fc7e3705c807799f48c2fa6e02b34b02dd25650e84898f2

Observation c579bdd5-f56d-41a5-8113-e2b78a53daa2 · outbound

This paper cites Deliberate practice and acquisition of ex- pert performance: a general overview,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Deliberate practice and acquisition of ex- pert performance: a general overview,

Reference 29

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raw_fallback, observed 2026-08-06T18:24:25.566228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:30.924569Z digest=sha256:aeea629181959d72ff4244b902baebd2b6fa15a86cbc686ddec4e8901daac0c3

Observation 2f73c59c-0ee9-47c1-a185-9b2b139c5e34 · outbound

This paper cites V oting: A machine learning approach,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition V oting: A machine learning approach,

Reference 30

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raw_fallback, observed 2026-08-06T18:24:25.398181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:31.040469Z digest=sha256:a44f22cb0ab744c2c1a0509a38b8e993d99d4f7d248cd5d5317908f76a4194ef

Observation 57eb82b5-db84-45d2-b6c4-11f05e4fca66 · outbound

This paper cites F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:31.175468Z digest=sha256:803273a37f6680ee7e37d0993715c7422b1415b518d0ec487e98223e8d781cbf

Observation 5a06dcc2-5cfc-46c5-a2c9-3a91297b2948 · outbound

This paper cites Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:31.298864Z digest=sha256:68bbefcd4be6ebadba7ed265ad4c72b98457584e07987544c3620b7f2d6bb04d

Observation df6abe05-221b-439b-a2aa-ca0bb09ab135 · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:31.410654Z digest=sha256:e89dc8d48e9b115db8957d78e1cad967ec6bc12d749256623c683e5380330307

Observation 32561d52-54bf-4189-ba92-a422831e1c20 · outbound

This paper cites SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T18:23:31.499106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:31.499106Z digest=sha256:f3656f4d24f8a4ad491702ccce5089a8f74b8b56dcc940d23597606332c046b1

Observation 5a30f61b-95ad-4564-9d71-8722fbc34415 · outbound

This paper cites MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:23:32.952358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:31.587646Z digest=sha256:279f8924471245be06cb9d2380a508dd73b0292b21e11fa56aca39751e20ea34

Observation 4122ac62-695e-4593-95fd-30ff79acc7c0 · outbound

This paper cites MLS: A Large-Scale Multilingual Dataset for Speech Research.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition MLS: A Large-Scale Multilingual Dataset for Speech Research

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:23:31.705664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:31.705664Z digest=sha256:4a7201a9de34850a2f3f817645cc1c0456baf79a54df3eae21608cb1e005bbb6

Observation e0f42a85-0376-4a48-9174-b84049d04765 · outbound

This paper cites The Multilingual TEDx Corpus for Speech Recognition and Translation.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition The Multilingual TEDx Corpus for Speech Recognition and Translation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:23:31.866666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:31.866666Z digest=sha256:83e621345d136ac41f2412765b107133f3e63ffa14da1bfe0119276cf2785a4c

Observation 6e892657-92d8-449e-a339-711e1027ca6e · outbound

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

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Common Voice: A Massively-Multilingual Speech Corpus

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:23:32.006992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:32.006992Z digest=sha256:15209ac2d7a3b500edd6d0bafe7f6ef08e6c61e6067e3a36e7eaaf0a076b5607

Observation b8ce73e7-079a-404e-9e40-3126a3b764f4 · outbound

This paper cites GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:23:32.186442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:23:32.186442Z digest=sha256:90cef0187f6aa728cafb786d00beef1a07e97ac17015344c63eb3fc435956bbd

Observation c1615f84-30a0-468f-ac53-78b271b1fd87 · outbound

This paper cites Maxseats meeting valid dataset,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Maxseats meeting valid dataset,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:24:24.814745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:32.283750Z digest=sha256:9f4ce816ab73001ac6ae5341b7e57f11f9720c5406d7b7cb0d02f5b617d8e081

Observation 8129f440-a333-48f2-84c7-0b3e5a9c9976 · outbound

This paper cites Yodas: Youtube-oriented dataset for audio and speech,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Yodas: Youtube-oriented dataset for audio and speech,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:23:34.253685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:32.421342Z digest=sha256:821c0855acc6cfd9d104a94a4850efc1b03ef948b9c04e10f1d68749748c80a2

Observation 3a7176fd-ff73-420e-9753-574cf86faa86 · outbound

This paper cites Reazonspeech: A free and massive cor- pus for japanese asr,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Reazonspeech: A free and massive cor- pus for japanese asr,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:23:34.057846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:32.541452Z digest=sha256:a17a2804ea7d15b7e33c3f799f55f3cabe8c15b1cd4feb5b93339b58bb645237

Observation 069a4934-434d-4f1f-859d-688fcf4f08dc · outbound

This paper cites Santa Barbara corpus of spoken Amer- ican English, Parts 1–4,.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition Santa Barbara corpus of spoken Amer- ican English, Parts 1–4,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:23:33.820664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:32.668885Z digest=sha256:7ee145f0eaf6a121e921d1d1ac76bd26f0d05e9e16285464e2fd9fe3a1553fee

Pith citing papers

Observation 156696bd-aa2d-45c6-842a-fb27947413f6 · inbound

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition cites this paper.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:23:33.618882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:23:25.005835Z digest=sha256:ec85cda385a67d5ad32c33da135b619362c3da23a8120d883170aa1116608f29