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Paper Citation Record · LEDGER

An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.00381.

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

pith.paper-citation-record.v1
2211.00381 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:19:20.127548Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

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 b503ca76-6a1e-4829-b6b1-1f2e78de8fae · inbound

Gotta catch 'em all! Towards File Localisation from Issues at Large cites this paper.

Gotta catch 'em all! Towards File Localisation from Issues at Large An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:19:20.479824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:19:20.127548Z digest=sha256:fa652599ccaf2551987ab069b0ce6ecc9697473c0634a4f2dcb3451316a9bb0a

Observation 53fc1aec-b9da-4ad3-b787-3c1d1c3b3244 · inbound

LinkRank: A Learning-to-Rank Framework for One-to-Many Issue-Commit Traceability cites this paper.

LinkRank: A Learning-to-Rank Framework for One-to-Many Issue-Commit Traceability An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-30T17:44:13.212929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:44:13.212929Z digest=sha256:42b1ca8f68b23d11eddb920b22f925395c8463b948acbca6bab1c54b5278317d