Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.08191.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:35.249499Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T21:33:18.376067Z
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 dce323a1-f604-4e3b-95c5-85e0c98df123 · inbound
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering cites this paper.
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:18:30.829599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1508db60-e69f-47ea-aec8-987177d2a6d5 · inbound
Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency cites this paper.
Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:17:35.249499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf955427-1c58-4c07-ae2a-a6d9acd0f63b · inbound
Who's the Leader? Analyzing Novice Workflows in LLM-Assisted Debugging of Machine Learning Code cites this paper.
Who's the Leader? Analyzing Novice Workflows in LLM-Assisted Debugging of Machine Learning Code A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:08:19.441067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dd74489-c827-4d79-b5e0-63b896c62541 · inbound
Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs cites this paper.
Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:26.902971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1e7a788-e0a8-4da1-bccf-960712ac1e93 · inbound
SIExVulTS: Sensitive Information Exposure Vulnerability Detection System using Transformer Models and Static Analysis cites this paper.
SIExVulTS: Sensitive Information Exposure Vulnerability Detection System using Transformer Models and Static Analysis A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:55:56.327273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c609208a-9036-46e6-ad6e-ca364cb1fe92 · inbound
Improving MPI Error Detection and Repair with Large Language Models and Bug References cites this paper.
Improving MPI Error Detection and Repair with Large Language Models and Bug References A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:33:18.377294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.