Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.11546.

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

pith.paper-citation-record.v1
2406.11546 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:56.424529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T16:31:37.239716Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9d714c57-19f2-4fc1-b1f0-5d52f075dc74 · inbound

VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining cites this paper.

VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:56.424529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69136a8a-2d57-42f2-b874-42882b5ce5cc · inbound

Weakly Supervised Data Refinement and Flexible Sequence Compression for Efficient Thai LLM-based ASR cites this paper.

Weakly Supervised Data Refinement and Flexible Sequence Compression for Efficient Thai LLM-based ASR GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:00.909287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405fdaac-7213-4d65-b898-1e5404abd152 · inbound

OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning cites this paper.

OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:20.068090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation e90c6ac7-541e-4607-a8ff-36897dca7c6f · inbound

The TEA-ASLP System for Multilingual Conversational Speech Recognition and Speech Diarization in MLC-SLM 2025 Challenge cites this paper.

The TEA-ASLP System for Multilingual Conversational Speech Recognition and Speech Diarization in 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 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:25.987528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 b87d2bc6-feb6-4b21-9d63-c5949de440e4 · inbound

WenetSpeech-Yue: A Large-scale Cantonese Speech Corpus with Multi-dimensional Annotation cites this paper.

WenetSpeech-Yue: A Large-scale Cantonese Speech Corpus with Multi-dimensional Annotation GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T10:36:02.509065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15254c82-8fde-4ccc-a224-12a3523f118c · inbound

Towards Building Speech Large Language Models for Multitask Understanding in Low-Resource Languages cites this paper.

Towards Building Speech Large Language Models for Multitask Understanding in Low-Resource Languages GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:31:37.242377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46607e34-2ab2-4411-a177-44c05c2f3f48 · inbound

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production cites this paper.

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:06:15.030779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.