Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.11709.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:47.752469Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T00:20:38.981713Z
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 8aa28904-908c-4e10-8ec9-5ec6542052ae · inbound
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution
Reference 164
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:15:47.752469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be9aab0c-f7ec-4b0d-8dac-cf8b37c2967e · inbound
Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement cites this paper.
Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:45:55.179113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd7f3117-db19-4154-a1ae-21908d7cfb90 · inbound
Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution cites this paper.
Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T00:20:38.985270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.