Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2207.14315.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:03.001972Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:23:13.632857Z
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 18ced5d4-b37f-4629-91bb-9e9573cd3949 · inbound
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection cites this paper.
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:22:39.318312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27ceae9b-8954-42e7-8586-5f106b80061b · 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 SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:32:09.888021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13fa760a-c0e5-4708-870e-f4811aae026f · inbound
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection cites this paper.
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:28:03.001972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 763c8c8f-a925-49f7-9c8a-18413ae9789a · inbound
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark cites this paper.
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 46
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T22:30:00.340352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c97311b1-63ae-4d40-bd82-d3fda87e818c · inbound
MoViAD: A Modular Library for Visual Anomaly Detection cites this paper.
MoViAD: A Modular Library for Visual Anomaly Detection SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:58:31.400770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77fb4721-b160-4fc5-b2ed-7308ccc44cca · inbound
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection cites this paper.
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:36:22.672258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8195a55b-29ad-4336-9f35-3159ed4a13d0 · inbound
UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting cites this paper.
UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:23:13.635404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7f8a059e-7363-4f71-a160-c4ce36b65aa2 · inbound
Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models cites this paper.
Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:51:16.708358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0960d7c2-656b-413c-8290-3828d1d98597 · inbound
LDU-Bench: Multimodal LLM Evaluation for Lithography Defect Understanding under Layout-Varying Circuit Backgrounds cites this paper.
LDU-Bench: Multimodal LLM Evaluation for Lithography Defect Understanding under Layout-Varying Circuit Backgrounds SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:55:21.696337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.