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Paper Citation Record · LEDGER

Sampling in Software Engineering Research: A Critical Review and Guidelines

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.07764.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2002.07764 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:48.726361Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T23:42:16.140504Z

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 557e0388-73ad-4222-9180-7aaca3290229 · inbound

Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation cites this paper.

Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation Sampling in Software Engineering Research: A Critical Review and Guidelines

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:42:16.143374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:41:22.017848Z digest=sha256:d2d5052e0273b971baa69069888918c80aef30a3b62f1d6ab3b78e50499cdccc

Observation c68894a5-8c6d-4776-9104-84b0aa853ad6 · 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 Sampling in Software Engineering Research: A Critical Review and Guidelines

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:48.726361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:29:48.726361Z digest=sha256:10a83573b8f757da38db504070f9e8b605aa2ce414a7f635c70e58ea14dde33d

Observation 138fa5c1-d6a4-431d-ab88-de3499341580 · inbound

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code cites this paper.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Sampling in Software Engineering Research: A Critical Review and Guidelines

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:05.934693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:05.934693Z digest=sha256:21dd2008646b21d73c8376bce66054c34f1de90a6fd66dc2b6c5223b1de526be