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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 8 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 2026-08-08T06:32:00.761636+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=sha256:9e65ed9e38ea42c4d0e1122481310dfd947761eaff90cb7b51f4587d8098344e

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=sha256:8bd1a28bbf99a0364e3a016ac2d9995da66df69afc99888b3fd7fd6f229a4ca0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T17:47:21.976868Z digest=sha256:755dc52c026ef3809361031d9e7cacad6e1ff86fd337687e3a5cdfb6f066458f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T18:01:15.063810Z digest=sha256:0e64a65940898cf976fb57472e00ce853b34d290b0f3c56354fc74e0fb4e03d3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T16:52:35.205640Z digest=sha256:5254c52ee8fbb869cc840a15ac93900710e4ac54459db626f1c26746b0298d60

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T23:52:05.271119Z digest=sha256:4e43456f5087f6b8dcdb0b2f738301429231367ef8f84a078f975595dec16e33

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=sha256:2abe850cd4e37ce5c58a958e50561d82c9d0a0c5b2936b0596bf83523352f761