Paper Citation Record · LEDGER

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2604.25765.

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

pith.paper-citation-record.v1
2604.25765 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T16:33:05.641297Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy7
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90967748-d924-4bcd-8e94-1e0db3a713f8 · outbound

This paper cites Neural Comput.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile Neural Comput

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T02:08:24.844587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a23fc91-2f6d-4a36-bfe4-cdaed832df65 · outbound

This paper cites PuckTrick: A Library for Making Synthetic Data More Realistic.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile PuckTrick: A Library for Making Synthetic Data More Realistic

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T23:41:15.504272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac316d0e-7732-4d54-9d9c-a26f67ec7adf · outbound

This paper cites In: DeSE.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile In: DeSE

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T02:08:24.878334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2127b8f-5b6c-468c-8598-05b94aeb60bf · outbound

This paper cites an unresolved cited work.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-27T02:08:24.868544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f203f07-1068-425c-9da8-2d8f5d42d20f · outbound

This paper cites The Annals of Statistics 29(4), 1165–1188 (2001).

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile The Annals of Statistics 29(4), 1165–1188 (2001)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T02:08:24.858598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd2d8357-8186-4f99-9882-e90470c62147 · outbound

This paper cites In: INDIN.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile In: INDIN

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T02:08:24.854833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df6ff32e-eedb-4efb-bc81-bf493e00ac2d · outbound

This paper cites IEEE Trans.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile IEEE Trans

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T02:08:24.865668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e74e161-c574-4c46-b26c-5847d063b4d4 · outbound

This paper cites CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:15.481866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74d1de35-4070-4316-9410-738a3733a4aa · outbound

This paper cites Information Systems 132, 102549 (2025).

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile Information Systems 132, 102549 (2025)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T02:08:24.851695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5c6f9e2-713d-45bb-8716-91ea2a9f302d · outbound

This paper cites an unresolved cited work.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-27T02:08:24.862095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdace706-52a7-4108-a6c7-d04190655c0a · outbound

This paper cites UCI Machine Learning Repository (2018), licensed under CC BY 4.0.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile UCI Machine Learning Repository (2018), licensed under CC BY 4.0

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T02:08:24.848122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6639ee13-c299-48f1-afaa-a97de25e6766 · outbound

This paper cites an unresolved cited work.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-27T02:08:24.875097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6cff5aa3-f3eb-4f85-b82d-65bb5ba12e4f · outbound

This paper cites an unresolved cited work.

Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-27T02:08:24.871726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.