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Paper Citation Record · LEDGER

An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2011.14999.

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

pith.paper-citation-record.v1
2011.14999 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:22.574838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:50:26.343235Z

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 287614ea-072b-47ae-a63f-bfced31cfe55 · inbound

Rescaled Influence Functions: Accurate Data Attribution in High Dimension cites this paper.

Rescaled Influence Functions: Accurate Data Attribution in High Dimension An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:22.574838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:22.574838Z digest=sha256:054e41c8b08527ca87e5c820c0c79053f206bb96474c80409a721b272c6e92ae

Observation 88957db3-c618-4656-ae67-1148a55eb222 · inbound

When unlearning is free: leveraging low influence points to reduce computational costs cites this paper.

When unlearning is free: leveraging low influence points to reduce computational costs An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T18:28:31.326947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:28:31.326947Z digest=sha256:e9d35ef12c64a295c664a837345227c6dbade5b51931a9576c77a3343846d806

Observation e87687fc-03a6-4e31-bd1c-4f26654ae548 · inbound

On the Accuracy of Newton Step and Influence Function Data Attributions cites this paper.

On the Accuracy of Newton Step and Influence Function Data Attributions An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:50:26.346329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T17:47:21.976868Z digest=sha256:1082749467c0114b0d9b9ed1f276b62be932a9252c858545cb1c451d317c54d4

Observation 392c8038-2d1e-4673-95ad-db42bc405829 · inbound

Minimum Specification Perturbation: Robustness as Distance-to-Falsification in Causal Inference cites this paper.

Minimum Specification Perturbation: Robustness as Distance-to-Falsification in Causal Inference An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:16:10.692714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T18:01:15.063810Z digest=sha256:d6e6d856d8f162122c75aa8bd4667943afed2e0debd0ca78f342533b1831a7d9

Observation 78fcf15a-a3e3-4e0f-975c-396806067a6b · inbound

The Threshold Breakdown Point cites this paper.

The Threshold Breakdown Point An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:56:08.694936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T16:52:35.205640Z digest=sha256:1f2c5f2e4bcb6f74ee17b4ec80cef24d8be5785a39884e17595c1702fa18bd8e

Observation db1b81c5-beac-47eb-b8f7-fe4a11dc02d7 · inbound

The Threshold Breakdown Point cites this paper.

The Threshold Breakdown Point An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:53:51.551701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T23:52:05.271119Z digest=sha256:cb1e9e885624657ecf1d6a8ae0f8a881bf651d607f7cc264538c4b5c8a573904

Observation 4fbf892f-d80b-4f02-a246-82cea64e9aae · inbound

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics cites this paper.

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Reference 127

Resolution
unresolved
no resolver link, observed 2026-07-13T04:24:43.867063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T04:24:43.867063Z digest=sha256:0ec95b14b9efc2094a497f34c7692af6da62d6920c5c0bf2a65d639fcf8a588d