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Paper Citation Record · LEDGER

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2506.13339.

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

pith.paper-citation-record.v1
2506.13339 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:07:35.381520Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:07:35.231123Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:07:35.550815Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved10
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c24fbb72-e3f6-4786-8382-f7af72563942 · outbound

This paper cites an unresolved cited work.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Unresolved cited work

Reference 1

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T20:07:35.848020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.225451Z digest=sha256:3c42779cedba552ed94da98c8f296206feffc2afffbdc600eb5e9b9c25f3663d

Observation 65828838-9579-45f7-9768-39d16b43bbb7 · outbound

This paper cites NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T20:07:35.556185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.231123Z digest=sha256:6107ced7654ef94e4fbeedc41227d2c203c24adcbdc8f5d1c942fad65f41a23b

Observation a017a301-cd8b-4b19-8f4a-83efe58dd87a · outbound

This paper cites an unresolved cited work.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:35.831746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.236348Z digest=sha256:087d5cf8137308d04cc35ae2d69e76db4b7c6937cbb5e66dd0974f6af5ae7b57

Observation 3ad5965e-171e-4651-ad7e-c1f4d564ed60 · outbound

This paper cites S3 A VG.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 S3 A VG

Reference 4

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T20:07:35.815038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.241431Z digest=sha256:a9b0ac67349ab885f1aab3c505015e58cb4ee0d4efd78c99a7dea0f087cdc878

Observation aa31f9d5-c333-45d0-8dc5-6701bb83255d · outbound

This paper cites an unresolved cited work.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:35.798610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.247236Z digest=sha256:abaf99bf90efc75e85875541a6b7ce90f57099952fe17f3919168c51942996d1

Observation e2c41a66-8706-4b2f-9fc4-1fa175b946b3 · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.252029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.252029Z digest=sha256:6b9e91f88c14870bef1859d0344ea9a469f2a22d6e206b9a2063db8b7e6367db

Observation bd81de78-aaed-4358-90ec-d038d2d2a2d1 · outbound

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

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Robust speech recognition via large-scale weak supervision,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.257734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.257734Z digest=sha256:beea3022400d8fe6cdf6e030bad5abfc6249513ec2bec7ada3e0da76e6d7c8d5

Observation b9e517b9-454c-463c-a38c-b391ee5b8468 · outbound

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

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.262621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.262621Z digest=sha256:bc82bb4fcd74ad5b94eb22ccae5a4aebdb3eedd38241951d176a9ec61c16adf7

Observation 310f36c1-30a0-4682-9bda-9c4515713ad8 · outbound

This paper cites Qwen Technical Report.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Qwen Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.267840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.267840Z digest=sha256:f56889deac2932919f763aea9cde33e63aab867e243e99ba312eb0d17d6a7b90

Observation 7138d28c-e8c6-40db-ae04-5049222cb15f · outbound

This paper cites Speechgpt: Empowering large language models with intrinsic cross-modal conversational abilities,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Speechgpt: Empowering large language models with intrinsic cross-modal conversational abilities,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.757310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.272498Z digest=sha256:f4eb0dde0ca50c3eb692185089255a1fea5f7d33c9b15f6e556ea4a8c1caa171

Observation e89688f3-4e7d-4206-b940-8478e5de6fbb · outbound

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

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.277445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.277445Z digest=sha256:d92f5700358b16de6b06109193d877d25981f2df10f219175237797c83cc98eb

Observation 8a581c5b-2182-4449-9678-097bda74a470 · outbound

This paper cites Speech- tokenizer: Unified speech tokenizer for speech language models,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Speech- tokenizer: Unified speech tokenizer for speech language models,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.739949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.282559Z digest=sha256:2e3f4b59985c46c2e17339d01fb4f5aacd940631ea8849eea7e51e0982abde3f

Observation d53cb836-5451-4f4f-bb92-f59c7709a9c9 · outbound

This paper cites Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.288511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.288511Z digest=sha256:95f3a29f46d72c70f210f0a43681032a34fa7cc655129d45748fae8e86481313

Observation e30a2aab-2f65-4266-bed4-4218b878165b · outbound

This paper cites Instructblip: towards general-purpose vision-language models with instruction tuning,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Instructblip: towards general-purpose vision-language models with instruction tuning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.721797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.294125Z digest=sha256:4784526393ee37edc07b52a28d042269d3a5b45b702eef55a9a37f999652cfea

Observation 9c749cb6-d461-4d7a-bc65-9b2eaa7a04e4 · outbound

This paper cites Bliva: a simple multimodal llm for better handling of text-rich visual questions,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Bliva: a simple multimodal llm for better handling of text-rich visual questions,

Reference 15

Resolution
verified exact
doi, observed 2026-08-15T20:07:35.425932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.299125Z digest=sha256:142d1062c460fa32ebcf3dd290d634886a0b797933f8c5e5710de1cf3833039a

Observation f3c815b7-de58-4d8e-bc82-6bc20de0968f · outbound

This paper cites ESPnet: End-to-end speech processing toolkit,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 ESPnet: End-to-end speech processing toolkit,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.701140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.304149Z digest=sha256:86ec25c830f8da606f3da2035d0cd5d37e5c43ee237e76a1796f9d4a75313ca0

Observation e5c7b9de-398b-4f75-8daf-0bee1cdc8be8 · outbound

This paper cites Mamba in speech: Towards an al- ternative to self-attention,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Mamba in speech: Towards an al- ternative to self-attention,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.681153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.309159Z digest=sha256:182d99c9c7169c1e06448f9471ccd9207a124bd233c2679af1e8d5dec6d0db7c

Observation f1f11a2c-45a5-4929-a97b-df9916a6614e · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Common voice: A massively-multilingual speech corpus,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.664946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.316782Z digest=sha256:446a913f00cbe6dda121cd440377624298132b3a027e141165df308a69458075

Observation f9525e23-9626-47c7-840c-88a9be4d97bf · outbound

This paper cites Gigaspeech: An evolving, multi-domain asr cor- pus with 10,000 hours of transcribed audio,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Gigaspeech: An evolving, multi-domain asr cor- pus with 10,000 hours of transcribed audio,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.645009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.322251Z digest=sha256:46615998f1854a18680dcef528a5b6469e0a177cf6b5277a7aa91e1b789e75b3

Observation f0187b06-d550-44c2-82b4-797d81223dc6 · 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,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Gigaspeech 2: An evolving, large-scale and multi- domain asr corpus for low-resource languages with automated crawling, transcription and refinement,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.627321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.327369Z digest=sha256:c5ce218d67f4820545abae117e76ab45b73c6f8dfdc7d218cf6063948deeeb00

Observation 264e5016-530a-4ba8-8ed5-1699aef91c91 · outbound

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

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 MLS: A Large-Scale Multilingual Dataset for Speech Research

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.331938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.331938Z digest=sha256:80de3ebde2835403d6c13fe71fa7ccb5a77479beaded08fb7f09ed1fa5239aee

Observation 31cb24e3-0656-4009-b341-464cb60e5bb6 · outbound

This paper cites Multilingual tedx corpus for speech recognition and translation,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Multilingual tedx corpus for speech recognition and translation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.610999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.341514Z digest=sha256:67c7d925f6161a240f10b55e64dcff6a6c5fb98c2e6999c8b14619bbe679c5cd

Observation 17c4a7ad-4adb-4953-8ba4-323b8d7fecc2 · outbound

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

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 Reazonspeech: A free and massive cor- pus for japanese asr

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.593781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.352276Z digest=sha256:0cc56af9ad1458d2be61ef480bf02ed34196392f170f08db912c26fb9c0992d0

Observation c50e3a69-5742-4b49-92a9-0c5720f8db82 · outbound

This paper cites The korean corpus of spontaneous speech,.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 The korean corpus of spontaneous speech,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:35.575956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.367302Z digest=sha256:e521f9eb24e848f377aada4d5214c3c536fb63308d8e8d2baf4c66bac40320d0

Observation 67128e83-3b7b-4c7d-874a-edd466688a03 · outbound

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

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:35.381520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:35.381520Z digest=sha256:3f5770b88b7fd57804507e1a4ff3f182ebdc6a46bfba54edbcfa2400c220b0a2

Pith citing papers

Observation 65828838-9579-45f7-9768-39d16b43bbb7 · inbound

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 cites this paper.

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025 NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T20:07:35.556185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:07:35.231123Z digest=sha256:6107ced7654ef94e4fbeedc41227d2c203c24adcbdc8f5d1c942fad65f41a23b