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Paper Citation Record · LEDGER

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.01908.

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

pith.paper-citation-record.v1
2003.01908 v2

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:13.169787Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:20:55.533144Z

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 a2e44e0a-3258-4949-a54f-86a47380c958 · inbound

Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise cites this paper.

Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:13.169787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:13.169787Z digest=sha256:0825aba3eee396915d6da1b02894821adb7371fdab4a913556c730d9d6b1ab1b

Observation 7352bf97-ff35-4b73-8bbf-37931b508dc4 · inbound

Fortifying Time Series: DTW-Certified Robust Anomaly Detection cites this paper.

Fortifying Time Series: DTW-Certified Robust Anomaly Detection Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:20:55.536724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T03:18:07.187385Z digest=sha256:d580948cc94c9b2430fccbcc2da1182c4e39bccdbff99927caeeec96843c080c