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Paper Citation Record · LEDGER

Adversary Detection in Neural Networks via Persistent Homology

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.10056.

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

pith.paper-citation-record.v1
1711.10056 v1

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:17:57.340004Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:10:15.117115Z

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 e7dafff7-fe82-4dbc-b655-0531b9d9c6ba · inbound

Topology of Out-of-Distribution Examples in Deep Neural Networks cites this paper.

Topology of Out-of-Distribution Examples in Deep Neural Networks Adversary Detection in Neural Networks via Persistent Homology

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:10:15.125260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T17:10:14.813388Z digest=sha256:639c50ba7a5a5dce052d75d99eebd129418551b133ee9783c880b40f4fa094bd

Observation c2735337-1c20-44f3-ad70-55767fee09a0 · inbound

How fine a change can moments see? A scale law for detecting distribution shift, with a kernel calibration rule cites this paper.

How fine a change can moments see? A scale law for detecting distribution shift, with a kernel calibration rule Adversary Detection in Neural Networks via Persistent Homology

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T15:17:57.340004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:17:57.340004Z digest=sha256:1fc9b389ffc9467adff33870f3c886eb62a9a16250ea94fe527b6d2b10d30147