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Paper Citation Record · LEDGER

Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.14164.

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

pith.paper-citation-record.v1
2210.14164 v4

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 2026-08-15T18:05:54.379690Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:50:45.609992Z

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 c8f5931c-193e-4167-a6b3-6d06c7ece552 · inbound

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search cites this paper.

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:50:45.656574Z

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=2026-08-07T05:50:43.509981Z digest=sha256:372e03ae9481ffbca4a3dea86a45473057747161c7f1dd34931e99df6f2ac72e

Observation ed57cf2d-ef63-4e7c-bb71-f493db2c4dc6 · inbound

Generating Adversarial Point Clouds Using Diffusion Model cites this paper.

Generating Adversarial Point Clouds Using Diffusion Model Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T18:05:54.379690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:54.379690Z digest=sha256:0bedb8d3b4cd1dd8415ea4e4f6866477a2de41af29341b6874f4d4941e355d30