Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.13512.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:14:12.917287Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T05:44:50.085054Z
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 26339e1d-7052-45e1-8cd6-ec4b83b6e409 · inbound
Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning cites this paper.
Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:14:12.917287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91885723-a7a2-4472-9e7c-1dd81a4d4581 · inbound
A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows cites this paper.
A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:26:24.938493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4051395e-1c15-473c-ac0a-dea3761887b5 · inbound
Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant cites this paper.
Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T05:44:50.201846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9b4d8b7d-a4e3-4b63-96c0-d3e5d035f98b · inbound
Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture cites this paper.
Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:39:05.954747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.