Paper Citation Record · LEDGER

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.06564.

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

pith.paper-citation-record.v1
2404.06564 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:19.184006Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.511909Z

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 3fe34fa4-5748-4ce5-98e2-5bcc9d672ed0 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:31.067621Z

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 69b9770b-1e15-474e-826f-9a548fac62f8 · inbound

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays cites this paper.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:19.184006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67260346-f999-434b-be5b-6c1d614998be · inbound

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning cites this paper.

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:59.365566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 767a09a1-6ef6-41ac-9951-1431bc1568aa · inbound

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification cites this paper.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:32.743179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4453393b-e76d-40f0-9770-b265ece90248 · inbound

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection cites this paper.

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:15.293118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343485b9-2cc9-4e65-a8b8-23f08e762b98 · inbound

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization cites this paper.

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:53:23.947150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 479e1a83-c87b-4361-b51b-08bc13750d45 · inbound

State Space Models Meet Remote Sensing: A Survey cites this paper.

State Space Models Meet Remote Sensing: A Survey MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 120

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:07.513359Z

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 45e4c36c-afe4-4de9-8db4-7d81359ad97f · inbound

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation cites this paper.

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T17:15:50.938022Z

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.