Paper Citation Record · LEDGER

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2508.14916.

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

pith.paper-citation-record.v1
2508.14916 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:01:03.634308Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:01:03.592745Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:01:03.762647Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy3
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 001ab892-9669-4cad-8498-552fa786a617 · outbound

This paper cites However, the scarcity of real-world conversational speech data , especially in multilingual contexts, poses a significant challenge to advancing the field[6][7][8][9].

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge However, the scarcity of real-world conversational speech data , especially in multilingual contexts, poses a significant challenge to advancing the field[6][7][8][9]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:01:03.806959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e4e625d9-4c00-45d9-afdc-d52aa251108f · outbound

This paper cites In addition, to enhance the generalization capability of the models, we utilized the open-source MSR-86K[9] dataset as an external resource.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge In addition, to enhance the generalization capability of the models, we utilized the open-source MSR-86K[9] dataset as an external resource

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:01:03.797061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1714498a-f29f-45fb-bf62-29de10ccf8f1 · outbound

This paper cites Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge

Reference 3

Resolution: malformed identifier; local_arxiv, observed 2026-08-05T20:01:03.767847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e08c6b0-f413-4a09-91bc-9a4b50fd985a · outbound

This paper cites an unresolved cited work.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:01:03.786487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95de2cb4-7ddf-4029-b23e-504d53a2f4a1 · outbound

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

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.600219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c925a53-e821-4a73-a3de-5c9b285cb82b · outbound

This paper cites Qwen2-Audio Technical Report.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Qwen2-Audio Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.603649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f6f9d1-030e-488c-8e31-dc34d8303241 · outbound

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

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.607199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 746e9178-8e30-4f6b-82c8-543a1934ebf2 · outbound

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

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.610454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8005c93-cc00-44fa-bb0f-4ec3663f192a · outbound

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

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.613617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe1ca944-0ce8-466f-ad70-fe641d73ffa2 · outbound

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

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Common Voice: A Massively-Multilingual Speech Corpus

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.616409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 501501f7-ad34-4fb3-a70f-02e0dd2f7e04 · outbound

This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.619245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 231e5466-bb3b-45ac-82cc-bfbb4015af1e · 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.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.622272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f969dc58-458d-491a-a845-01053f17d84d · outbound

This paper cites MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.625935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c2aa61-1c39-4339-857e-059906253c87 · outbound

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

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Robust speech recognition via large-scale weak su- pervision,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:01:03.777230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ec742224-bb4c-43b1-8e38-3721749b7e39 · outbound

This paper cites Qwen2 Technical Report.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Qwen2 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.631556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d51089d5-74ca-499a-b2f1-798419049612 · outbound

This paper cites Qwen2.5 Technical Report.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge Qwen2.5 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.634308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1714498a-f29f-45fb-bf62-29de10ccf8f1 · inbound