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Paper Citation Record · LEDGER

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.05980.

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

pith.paper-citation-record.v1
2209.05980 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:25:00.573437Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T17:11:00.909777Z

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 dba6d7dc-14a1-4303-a376-c120eba25364 · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:11:00.913351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T17:11:00.639293Z digest=sha256:6bceb87c5b4486c782c2bdb4d974b7479435d681147fd136346d6810b0126d3f

Observation 60173037-8c4a-434a-9d37-b6359f2ab016 · inbound

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches cites this paper.

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T12:25:00.573437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:00.573437Z digest=sha256:14bd60500a712b6719d3c133e021d01c493056deb4742d970dc69712c7f8a177