Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.05706.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:43.595206Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T08:49:53.601807Z
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 c091cb50-3bfd-4777-9b09-6d3f9741ba1b · inbound
Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools cites this paper.
Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:44:43.595206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e9f14b2-af60-4010-9123-2a6db7bb4726 · inbound
From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge cites this paper.
From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:51:04.096652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0ede6b3f-0f9f-43f9-8404-eb753f865c31 · inbound
From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge cites this paper.
From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T08:49:53.603489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.