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Paper Citation Record · LEDGER

Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.06537.

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

pith.paper-citation-record.v1
2402.06537 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:41:07.714390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:08:12.606674Z

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 078d0288-fe6d-4cb1-83d1-f98e08311443 · inbound

Why CNN Features Are not Gaussian: A Statistical Anatomy of Deep Representations cites this paper.

Why CNN Features Are not Gaussian: A Statistical Anatomy of Deep Representations Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:08:12.608678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T17:05:55.427363Z digest=sha256:16ba5da3a5c81b4f09d8d3cf031018192d2fe94bb80314d2208af16034f97240

Observation be2067df-7749-4bd0-9c3b-cabb61f7e8fa · inbound

Image Quality Dependent Degradation for AI Systems cites this paper.

Image Quality Dependent Degradation for AI Systems Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T01:41:07.714390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:41:07.714390Z digest=sha256:332127f72a4603160bd9630aa10b9bbc202493ff95b3bbf8f34071667f655d9d