Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.01084.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:58.915293Z
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
4
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 5239cf01-8635-4f2f-8940-140dfa64a234 · inbound
Towards a Science of Causal Interpretability in Deep Learning for Software Engineering cites this paper.
Towards a Science of Causal Interpretability in Deep Learning for Software Engineering Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
Reference 160
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:29:58.915293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45eff96f-4511-4b49-ae65-b22419999dd4 · inbound
TraceLLM: Leveraging Large Language Models with Prompt Engineering for Enhanced Requirements Traceability cites this paper.
TraceLLM: Leveraging Large Language Models with Prompt Engineering for Enhanced Requirements Traceability Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T07:00:25.876465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.