Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:39:46.252583Z
Paper Citation Record · LEDGER
Towards Continual Visual Anomaly Detection in the Medical Domain
As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2508.18013.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact2
- verified fuzzy20
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 79919488-fc80-404f-9fdd-db0559abab98 · outbound
This paper cites Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection.
Towards Continual Visual Anomaly Detection in the Medical Domain Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.953311Z
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 fee5074c-0fee-47d4-9805-5f9f448b08a5 · outbound
This paper cites an unresolved cited work.
Towards Continual Visual Anomaly Detection in the Medical Domain Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:39:46.931362Z
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 2ffc304f-7dd4-4dfd-bb52-174d65b449d0 · outbound
This paper cites BMAD: Benchmarks for Medical Anomaly Detection.
Towards Continual Visual Anomaly Detection in the Medical Domain BMAD: Benchmarks for Medical Anomaly Detection
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:39:46.413583Z
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 bb959c59-7b4c-4ab4-9d0e-2f91b80d533b · outbound
This paper cites Towards total recall in industrial anomaly detection.
Towards Continual Visual Anomaly Detection in the Medical Domain Towards total recall in industrial anomaly detection
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.905634Z
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 2dfe7e2b-d4f1-4523-adea-c310eb104515 · outbound
This paper cites Unveiling the anomalies in an ever-changing world: A benchmark for pixel-level anomaly detection in continual learning.
Towards Continual Visual Anomaly Detection in the Medical Domain Unveiling the anomalies in an ever-changing world: A benchmark for pixel-level anomaly detection in continual learning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.885323Z
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 69187bd8-deae-4577-8cef-75377b75cb5e · outbound
This paper cites Moviad: A modular library for visual anomaly detection, 2025.
Towards Continual Visual Anomaly Detection in the Medical Domain Moviad: A modular library for visual anomaly detection, 2025
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.860277Z
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 d98868ea-e539-4fee-aaf1-6a3ade78899c · outbound
This paper cites Draem -- a discriminatively trained reconstruction embedding for surface anomaly detection, 2021.
Towards Continual Visual Anomaly Detection in the Medical Domain Draem -- a discriminatively trained reconstruction embedding for surface anomaly detection, 2021
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.827911Z
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 df89a081-df5a-435d-ad45-045c35079125 · outbound
This paper cites Reconstruction by inpainting for visual anomaly detection.
Towards Continual Visual Anomaly Detection in the Medical Domain Reconstruction by inpainting for visual anomaly detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.806360Z
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 661c8bee-cc5e-4290-ba33-cab4a68b11f4 · outbound
This paper cites Paste: Improving the efficiency of visual anomaly detection at the edge.
Towards Continual Visual Anomaly Detection in the Medical Domain Paste: Improving the efficiency of visual anomaly detection at the edge
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.780261Z
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 87dc01b6-3e7a-4dfd-ba5d-a5e5287445e1 · outbound
This paper cites Memory efficient continual learning for edge-based visual anomaly detection, 2025.
Towards Continual Visual Anomaly Detection in the Medical Domain Memory efficient continual learning for edge-based visual anomaly detection, 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.756528Z
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 3dac69da-0f5d-4b56-bb34-66ce18505260 · outbound
This paper cites Experience replay for continual learning.
Towards Continual Visual Anomaly Detection in the Medical Domain Experience replay for continual learning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.733238Z
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 9f30cb42-f27d-4696-bb93-52a86802dba9 · outbound
This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.
Towards Continual Visual Anomaly Detection in the Medical Domain Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.714400Z
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 e79dc011-fe60-4dcd-a14f-9e2af661805d · outbound
This paper cites Learning without forgetting, 2017.
Towards Continual Visual Anomaly Detection in the Medical Domain Learning without forgetting, 2017
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.695252Z
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 55e5fb99-4ec8-46a3-8904-04cf6523bbc2 · outbound
This paper cites Rusu, Alexander Pritzel, and Daan Wierstra.
Towards Continual Visual Anomaly Detection in the Medical Domain Rusu, Alexander Pritzel, and Daan Wierstra
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.675713Z
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 7e2e96ff-8fd1-40b2-afa8-b8437d7c62e3 · outbound
This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning, 2018.
Towards Continual Visual Anomaly Detection in the Medical Domain Packnet: Adding multiple tasks to a single network by iterative pruning, 2018
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.648965Z
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 ef95b3c6-c107-4381-a525-aa1f4cf310d5 · outbound
This paper cites Latent replay for real-time continual learning, 2020.
Towards Continual Visual Anomaly Detection in the Medical Domain Latent replay for real-time continual learning, 2020
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.614453Z
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 2d3c00cc-1bac-4ddc-a8ab-052367cbae23 · outbound
This paper cites Learn to detect objects incrementally.
Towards Continual Visual Anomaly Detection in the Medical Domain Learn to detect objects incrementally
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.583810Z
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 575062d8-7f6b-40ca-9ca6-2877e208cdf2 · outbound
This paper cites Towards continual adaptation in industrial anomaly detection.
Towards Continual Visual Anomaly Detection in the Medical Domain Towards continual adaptation in industrial anomaly detection
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.555574Z
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 e8335c78-6263-4ca8-883c-ddb2948addf4 · outbound
This paper cites Continual Learning Approaches for Anomaly Detection.
Towards Continual Visual Anomaly Detection in the Medical Domain Continual Learning Approaches for Anomaly Detection
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:39:46.373398Z
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 cc486d5a-01c3-40b6-b10e-13889b09fa7a · outbound
This paper cites Student-Teacher Feature Pyramid Matching for Anomaly Detection.
Towards Continual Visual Anomaly Detection in the Medical Domain Student-Teacher Feature Pyramid Matching for Anomaly Detection
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:39:46.216657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70f29f72-0959-4998-ad33-7d9467f91786 · outbound
This paper cites Efficientad: Accurate visual anomaly detection at millisecond-level latencies, 2024.
Towards Continual Visual Anomaly Detection in the Medical Domain Efficientad: Accurate visual anomaly detection at millisecond-level latencies, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.525606Z
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 b68fa004-2a1f-4d4b-b104-c586976cabe5 · outbound
This paper cites Fastflow: Unsupervised anomaly detection and localization via 2d normalizing flows, 2021.
Towards Continual Visual Anomaly Detection in the Medical Domain Fastflow: Unsupervised anomaly detection and localization via 2d normalizing flows, 2021
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.497636Z
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 3a2e26c2-9a54-419c-934a-d6a892b1e649 · outbound
This paper cites Unsupervised continual anomaly detection with contrastively-learned prompt.
Towards Continual Visual Anomaly Detection in the Medical Domain Unsupervised continual anomaly detection with contrastively-learned prompt
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.470705Z
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 6b409ee3-f22a-4770-a48e-39b50d65d057 · outbound
This paper cites Wide residual networks, 2017.
Towards Continual Visual Anomaly Detection in the Medical Domain Wide residual networks, 2017
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:39:46.448015Z
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.
Pith citing papers
No inbound Pith citation observations are available.