Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:42:50.409324Z
Paper Citation Record · LEDGER
Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch?
As of 24 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2507.02110.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b0e0c686-142b-4bd7-9c77-dd3349a6a8de · outbound
This paper cites In: 2011 15th European Conference on Software Maintenance and Reengineering, pp 181–190, DOI 10.1109/CSMR.2011.24, URLhttps://ieeexplore.ieee.
Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch? In: 2011 15th European Conference on Software Maintenance and Reengineering, pp 181–190, DOI 10.1109/CSMR.2011.24, URLhttps://ieeexplore.ieee
Reference 1
- Resolution
- verified exact
- raw_fallback, observed 2026-08-06T20:42:50.883269Z
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.
Observation 16166e90-54d6-42ef-8153-19f48f3e6fb7 · outbound
This paper cites Journal of Machine Learning Research 12:2825–2830 Rachow P, Riebisch M (2022) An architecture smell knowledge base for managing architecture technical debt.
Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch? Journal of Machine Learning Research 12:2825–2830 Rachow P, Riebisch M (2022) An architecture smell knowledge base for managing architecture technical debt
Reference 10
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T20:42:50.685455Z
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.
Observation bac243a1-9ed1-4513-a926-494e1d5589ea · outbound
This paper cites an unresolved cited work.
Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch? Unresolved cited work
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:42:50.409324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.