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Paper Citation Record · LEDGER

On the Geometry of Adversarial Examples

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1811.00525.

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

pith.paper-citation-record.v1
1811.00525 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:06:13.476164Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T12:56:14.808007Z

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 de52d54d-919d-4130-b0aa-5aaea801b6ce · inbound

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition cites this paper.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition On the Geometry of Adversarial Examples

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T21:06:13.476164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:13.476164Z digest=sha256:f83b09c1de7d0552c194721687777d3319ad1d429e991934a8c72fa7fe1be44e

Observation 2fa72d2c-1c14-4077-a15f-1d702d871e6b · inbound

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks cites this paper.

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks On the Geometry of Adversarial Examples

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-16T12:12:51.208717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T12:11:22.001624Z digest=sha256:877de54638f03adf5cf9b73ad806b9019c7fbfc81b7ff09567b0f144ec6634a7

Observation 3465a2a0-9e2b-4a80-9dcc-cdf4447433d6 · inbound

Compression as an Adversarial Amplifier Through Decision Space Reduction cites this paper.

Compression as an Adversarial Amplifier Through Decision Space Reduction On the Geometry of Adversarial Examples

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:20:57.545347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:12:45.350958Z digest=sha256:ff90866fab09c494afed87db5147db91b681d8e9240a71b6119aaad036637681

Observation b62c9f30-320e-4ca4-9454-0b79e883f0c1 · inbound

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding cites this paper.

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding On the Geometry of Adversarial Examples

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T17:52:27.169479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T17:51:38.268304Z digest=sha256:d05c0a8d2b0c73e589f51ed2d07c39c15e955cc043418cbac557a7f069bc8e8d

Observation adf727f0-27c4-4e51-86cd-c42b3239baa0 · inbound

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces cites this paper.

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces On the Geometry of Adversarial Examples

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T12:56:14.810264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-09T12:55:34.631248Z digest=sha256:aa2588dcf68670e907bc0df6d6c2e00edf8251254d2d67a0ef5a49e03d3e8f80