Paper Citation Record · LEDGER

A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.04256.

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

pith.paper-citation-record.v1
2304.04256 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:50:30.173459Z

measured 1 of 1 external citation measurements

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 260aba8b-5fa8-4cd8-9082-bdaee5ceafc6 · inbound

LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding cites this paper.

LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:50:30.173459Z

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.