Paper Citation Record · LEDGER

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.13349.

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

pith.paper-citation-record.v1
2403.13349 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:15:53.694335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:15:18.084592Z

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 18049448-ec09-4522-aa53-45d3900a3d5c · inbound

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models cites this paper.

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-08T12:15:53.694335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d78fd4a-8b73-425d-a73b-2932f0533c6a · inbound

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection cites this paper.

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:15:18.087797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c19c1e1-b80f-4d49-80b3-ce4dbe675075 · inbound

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning cites this paper.

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:10.396462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e2ce0d3-629f-4895-8fb8-93c32df4457c · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:10:41.382507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8776bdc-2e59-4a40-ad1e-94aab835229c · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.820337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0ba2670-839d-4bc3-8b7a-4317843f2e67 · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:35:09.560094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.