Pith. sign in

Paper Citation Record · LEDGER

Robust estimation algorithms don't need to know the corruption level

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.05453.

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

pith.paper-citation-record.v1
2202.05453 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:17:14.237526Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:47:35.946211Z

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 9a6f187d-d8e9-4feb-854a-e2b9b0003b6c · inbound

The Broader Landscape of Robustness in Algorithmic Statistics cites this paper.

The Broader Landscape of Robustness in Algorithmic Statistics Robust estimation algorithms don't need to know the corruption level

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T23:17:14.237526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:17:14.237526Z digest=sha256:f2363e0f07210c8714c4b001e45bccd824376590ceacd2d3443f8f21f0cbd0f7

Observation 5a63ab97-bef3-47e1-b8d0-7bf7b96be020 · inbound

Online change point detection under heavy-tailedness and contamination cites this paper.

Online change point detection under heavy-tailedness and contamination Robust estimation algorithms don't need to know the corruption level

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:47:35.947564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T14:34:48.577356Z digest=sha256:b5f3fc1e2cb91ca57afe2984da0949f48dcbeb6bda27c8676d1b54085c660e48