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 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:01:03.622272Z

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 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.