Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.04256.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:21.285006Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 27e2d464-ee25-4c01-bef9-075646b36cff · inbound
LLMCL-GEC: Advancing Grammatical Error Correction with LLM-Driven Curriculum Learning cites this paper.
LLMCL-GEC: Advancing Grammatical Error Correction with LLM-Driven Curriculum Learning A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:02:43.834865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43ea7665-9586-417a-b044-23d2ae3e625c · inbound
RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning cites this paper.
RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:21:21.285006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b0337b2-317d-468b-832c-6dddae854c9b · inbound
Bridging Reasoning and Action: Hybrid LLM-RL Framework for Efficient Cross-Domain Task-Oriented Dialogue cites this paper.
Bridging Reasoning and Action: Hybrid LLM-RL Framework for Efficient Cross-Domain Task-Oriented Dialogue A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T22:34:27.565616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9d546096-7067-40f6-904f-43bfbe53750d · inbound
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models cites this paper.
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:23.337567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a2c583a-b323-4ab5-a74e-de47baa353da · inbound
SFL-MTSC: Leveraging Semantic Frame-Level Multi-Task Self-Consistency for Robust Multi-Intent Spoken Language Understanding cites this paper.
SFL-MTSC: Leveraging Semantic Frame-Level Multi-Task Self-Consistency for Robust Multi-Intent Spoken Language Understanding A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T19:40:07.049699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.