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Paper Citation Record · LEDGER

Too Few Bug Reports? Exploring Data Augmentation for Improved Changeset-based Bug Localization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.16430.

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

pith.paper-citation-record.v1
2305.16430 v2

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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:55:07.946635Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T14:23:48.437820Z

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 fe1daddb-ab37-42dd-9577-f4042912e1d6 · inbound

Enhancing IR-based Fault Localization using Large Language Models cites this paper.

Enhancing IR-based Fault Localization using Large Language Models Too Few Bug Reports? Exploring Data Augmentation for Improved Changeset-based Bug Localization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T22:12:47.300576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:12:47.300576Z digest=sha256:3a7766d61025082fdeebb91a866d07cd66c157fad63785bb061a9a6c090ecba9

Observation 1f91e545-0d8b-44d9-a35c-7c8b23777998 · inbound

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models cites this paper.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Too Few Bug Reports? Exploring Data Augmentation for Improved Changeset-based Bug Localization

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:23:48.443964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-09T14:23:48.408181Z digest=sha256:a8b89bdb47541a0db7cfb09357171878f456d706a0e41165604695091552f0c3

Observation 6e67452d-8ff6-4161-9f97-068e95afec47 · inbound

When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey cites this paper.

When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey Too Few Bug Reports? Exploring Data Augmentation for Improved Changeset-based Bug Localization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:55:07.946635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:55:07.946635Z digest=sha256:619078ada6a672efc287b04c53858905a6fa900da2419736710f5043e852f9ac