Paper Citation Record · LEDGER

Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.11786.

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

pith.paper-citation-record.v1
1909.11786 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:26.012323Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:26:00.833652Z

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 6b5a70e7-704d-4bf2-9777-fdffff142875 · inbound

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge cites this paper.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:26.012323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6804b814-83ee-4485-870f-5c6538818245 · inbound

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology cites this paper.

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:09.299107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb75a0a6-731a-4970-a784-8652a4b7abf3 · inbound

Anatomy of a failure: When, how, and why deep vision fails in scientific domains cites this paper.

Anatomy of a failure: When, how, and why deep vision fails in scientific domains Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:26:04.920386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc184770-0dd5-4194-b86d-83f0a52afdb0 · inbound

From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift cites this paper.

From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:26:00.835038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.