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Paper Citation Record · LEDGER

Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.05966.

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

pith.paper-citation-record.v1
1809.05966 v3

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 2026-08-01T03:46:52.383074Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T17:04:42.943742Z

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 a32cd479-6adb-4b6f-ab53-be1d02efd2b3 · inbound

Towards Adversarially Robust Object Detection cites this paper.

Towards Adversarially Robust Object Detection Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-24T17:04:42.946747Z

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=2026-05-24T17:03:35.661911Z digest=sha256:c833b2ba21c8faf02458ef51b9453b77545574275992dd38d78aece46c980524

Observation 6b7ddc64-eb0b-48fd-9a58-0d280a31884f · inbound

GLST: Defending Confidence-Driven V2X Collaborative Perception Against Stealthy Multi-Attacker Feature Injection cites this paper.

GLST: Defending Confidence-Driven V2X Collaborative Perception Against Stealthy Multi-Attacker Feature Injection Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T03:46:52.383074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:46:52.383074Z digest=sha256:e55bb56aacf21f887e21e371c98da1ccc7628d19901c6e44a014fc1f3da5b01c