Paper Citation Record · LEDGER

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models

As of 16 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2502.01825.

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

pith.paper-citation-record.v1
2502.01825 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:23:48.408181Z

measured 12 of 12 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact2
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9468b7b-d2fc-4ceb-ab17-0717c628f28d · outbound

This paper cites A Survey on Data Augmentation in Large Model Era.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models A Survey on Data Augmentation in Large Model Era

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T14:23:48.372305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12c439b6-7c84-40bc-98f4-19d9e9ede40a · outbound

This paper cites an unresolved cited work.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:23:48.573031Z

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.

Observation 0e061fb8-7f37-4cae-aa91-600d02607720 · outbound

This paper cites Chawla, K.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Chawla, K

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:23:48.561650Z

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.

Observation 37f48c47-39d6-4edd-a36b-dfe8688b776b · outbound

This paper cites Jahić, N.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Jahić, N

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:23:48.550635Z

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.

Observation 47f80cb3-8de8-4c4f-9886-4928385669e4 · outbound

This paper cites an unresolved cited work.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:23:48.540179Z

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.

Observation 51466ee9-024c-4b66-96a9-9ce01a520a6b · outbound

This paper cites FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:23:48.459468Z

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.

Observation af5e1557-3b99-4626-a95e-4cefab37c859 · outbound

This paper cites an unresolved cited work.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:23:48.528556Z

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.

Observation 33561ed8-633f-4077-9224-b0fafccc4d38 · outbound

This paper cites an unresolved cited work.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:23:48.517665Z

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.

Observation 50907e5e-8c3e-4411-995a-90a6871393ff · outbound

This paper cites an unresolved cited work.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:23:48.506844Z

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.

Observation 0ddc50af-8714-48ab-ab52-bac25d382930 · outbound

This paper cites More and J.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models More and J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:23:48.495320Z

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.

Observation 7e76a938-52b9-43f6-8c89-8a7389f700d4 · outbound

This paper cites an unresolved cited work.

Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-09T14:23:48.483357Z

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.

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

This paper cites Too Few Bug Reports? Exploring Data Augmentation for Improved Changeset-based Bug Localization.

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.

Pith citing papers

No inbound Pith citation observations are available.