Paper Citation Record · LEDGER

Sub-Image Anomaly Detection with Deep Pyramid Correspondences

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2005.02357.

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

pith.paper-citation-record.v1
2005.02357 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:11.189610Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:06.738342Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 e79689e0-356b-4f2b-8ab2-b6219aaf2067 · inbound

Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization cites this paper.

Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T06:46:03.008509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a270ddd3-8f30-467f-b5ed-26e81c79d07f · 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 Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:11.189610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 935eaeda-def4-4407-b4b1-553d8cdc7f23 · inbound

HomographyAD: Deep Anomaly Detection Using Self Homography Learning cites this paper.

HomographyAD: Deep Anomaly Detection Using Self Homography Learning Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:05:35.053876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72648e61-bacd-4d9c-bcbf-aa872511d91b · inbound

FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection cites this paper.

FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:33:48.590112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ad75c7-f7d6-4e22-b0a0-e7a22fdc5679 · inbound

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment cites this paper.

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:47.828661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 067c747c-0f63-4b70-a837-7277f404d5dc · inbound

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection cites this paper.

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:57:48.680849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eae4fa2-f7e7-49d8-abac-7cc2b8bac3c2 · inbound

A Roadmap for Climate-Relevant Robotics Research cites this paper.

A Roadmap for Climate-Relevant Robotics Research Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 262

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:54.830974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d16479a-db96-4acd-8c5d-07c7b3ce9442 · inbound

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects cites this paper.

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:48.967700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503cec6b-8f00-42fb-a66e-2e2239624cee · inbound

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts cites this paper.

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:24.407310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2fb6e2c-16d1-4bb2-8b67-85af30506bca · inbound

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup cites this paper.

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:59:07.630867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe230a9-48b9-4fe0-b46c-082b2c6cebd5 · inbound

Generative Model-Based Feature Attention Module for Video Action Analysis cites this paper.

Generative Model-Based Feature Attention Module for Video Action Analysis Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T19:03:27.699167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7049db35-2978-413f-b08e-4f0563259d5b · inbound

AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain cites this paper.

AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:20.776134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 617bea45-2d60-4433-b986-1dfae20b1764 · inbound

Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation cites this paper.

Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T17:28:39.335652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f9730d-2ec0-4d22-a16c-367db87b21ac · inbound

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling cites this paper.

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:16.759266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12859edf-9f0d-44ab-a23f-aea41f061a91 · inbound

Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection cites this paper.

Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:31:06.706081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0f8cbca-e57c-4166-9734-79f7261321dd · inbound

Beyond Normal References: Discriminative Few-Shot Anomaly Detection cites this paper.

Beyond Normal References: Discriminative Few-Shot Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:55:23.674385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a4e88c2-8689-466c-a0a4-d454444686c9 · inbound

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization cites this paper.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:13:27.454389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8dd06595-a8cb-4f35-b1f1-099857e324f8 · inbound

Uni-RCM: Unified Reference-guided Cross-modal Mapping for Multi-Class Anomaly Detection cites this paper.

Uni-RCM: Unified Reference-guided Cross-modal Mapping for Multi-Class Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:13:14.784998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f646e6a6-b51e-455e-b3e8-95a00bc61661 · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:49:44.582550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 21282937-214c-4c3e-941b-0f7241da417f · inbound

MATCH: Flow Matching for Multi-View Anomaly Detection cites this paper.

MATCH: Flow Matching for Multi-View Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.680241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f45e7cb1-e110-430b-9cb2-947850565b52 · inbound

Hypergraph Normal World Models for Logical Visual Anomaly Detection cites this paper.

Hypergraph Normal World Models for Logical Visual Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.739858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4d05cb9-b5e6-4352-b23b-c91e37ad4c0f · inbound

UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction cites this paper.

UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:54:20.084609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.