Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring the Potential of Large Multimodal Models as Effective Alternatives for Pronunciation Assessment
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.11229.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:19:42.997161Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:27:30.823564Z
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 34b6fc64-f4c1-47d2-8035-6e1bd1ce09d3 · inbound
English Pronunciation Evaluation without Complex Joint Training: LoRA Fine-tuned Speech Multimodal LLM cites this paper.
English Pronunciation Evaluation without Complex Joint Training: LoRA Fine-tuned Speech Multimodal LLM Exploring the Potential of Large Multimodal Models as Effective Alternatives for Pronunciation Assessment
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:19:42.997161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c98f981-57a8-4911-98f1-bce7e7a85dd9 · inbound
A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales cites this paper.
A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales Exploring the Potential of Large Multimodal Models as Effective Alternatives for Pronunciation Assessment
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:27:30.825416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.