Pith. sign in

Paper Citation Record · LEDGER

Sub-Image Anomaly Detection with Deep Pyramid Correspondences

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 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 23 of 23 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:32:10.078135Z

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
  • 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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T06:44:53.592978Z digest=sha256:066e99c718b7a0207aaf20861ad0ddf687790a94c84469b244eb403c742fefb8

Observation 9a4de94c-53ac-40e2-83b4-bbb820db6baf · inbound

Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection cites this paper.

Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T16:32:10.078135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:32:10.078135Z digest=sha256:572c0e686df60ece1f9e0ba7a8a04d0bd09f005d69ec05ab2f3d810a68345e0b

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.

source=pdf_text observed=2026-08-07T11:03:11.189610Z digest=sha256:dce00adba533cc5a351dd385d3171e367fcfc976949c2491133f655a061c12aa

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.

source=pdf_text observed=2026-08-07T05:05:35.053876Z digest=sha256:d077f2e3d360b4f99d290b3feb7076d3c91bb83f2efca4c02980df0fde03d154

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.

source=pdf_text observed=2026-08-06T22:33:48.590112Z digest=sha256:a00b97cf716a8c093ecb248492915e25987a02524b414877033aa6c5f9ea72fd

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.

source=pdf_text observed=2026-08-06T18:34:47.828661Z digest=sha256:20973dc0155d07361456924bf9d97a6d1406dc022a3e2b85f078cdeff8559442

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.

source=pdf_text observed=2026-08-06T17:57:48.680849Z digest=sha256:88ac0ff22b83ff6edcbec6e1782212a587415e04539e3f38cc5e9f240d68c274

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.

source=pdf_text observed=2026-08-06T17:07:54.830974Z digest=sha256:3b9a26a9eeaccfd339fb21ca16903bd129d4945af9344f4f21ce79066e93332b

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.

source=pdf_text observed=2026-08-06T17:21:48.967700Z digest=sha256:4698cf5c31817285749a00fc136de378406c4a4266028896f83ac2d9f6850cfb

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.

source=pdf_text observed=2026-08-06T15:06:24.407310Z digest=sha256:99571031eb6fbe9c5751473b9e6d88e3cedfb865e7221f9293f0d86c2840afd0

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.

source=arxiv_source observed=2026-08-05T18:59:07.630867Z digest=sha256:5ee6b7ab72d47af360b7430a4ff2571f70dd7fc6c27ea96c3162e3fd37667c4d

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.

source=pdf_text observed=2026-08-05T19:03:27.699167Z digest=sha256:1cfe8874a9c720f402350c9810905af6e3ed90620b71106e59f7a231e2e610cc

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.

source=pdf_text observed=2026-08-05T11:10:20.776134Z digest=sha256:8fa4a9fc84e7353e0a7a4159fba3b5a8861f09a2d77f09089feb2ae528c15120

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.

source=pdf_text observed=2026-08-03T17:28:39.335652Z digest=sha256:ecd0da2378fbafc171a524a6b0bfc4f570cc8e58b2c7371b91202960a8a16ba4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T18:48:08.212050Z digest=sha256:5f96f69781fc7ad020b7398ed889475605d455ff2b0ceebd80947a2865c78032

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T16:34:22.826289Z digest=sha256:a68e9a3a3fc802cbecbc3b37b24f3234153931ac68b5a854913f92fec362c4fa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T04:52:07.114651Z digest=sha256:d050a33e4c6060cdb680ec3dfdb50160e6636c412e06f8454103704bb373a6cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T13:07:09.539291Z digest=sha256:c0c9d008cf77c162825ce3272ae4f091dc531c312744669b2b06d60549a3ef94

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T08:11:41.147109Z digest=sha256:4037157e3c08b40d604fea4d315938a784be9590e697ae2a41673423477a98e8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:5a4a5c021e9bd7fb15729becbde9c139aad519136b8335defcc0bc8cb6ec8741

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T00:32:33.173587Z digest=sha256:a50137aecd0bf59240d921b56d15b7e69d6e04ae2b501937c8909de5c6feacb3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T21:09:19.682153Z digest=sha256:b9aa4fa9ea52f0fc61f7e288171fba8b886478e6a93ef976d2fee6f23294ca3b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:53:59.441734Z digest=sha256:706dc87777386b51a982d3eabd454f94be5f15a5023157b3d5b8ef5f301522fb