Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.12082.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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, observed 2026-08-08T16:32:10.021545Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:17:28.735497Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 036edc68-14ad-412b-a81f-448749dc1dc4 · inbound
Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07083c70-f381-433a-9e41-75e0eb3855a7 · inbound
DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81010138-53d2-4c2c-85f3-65005d3c6847 · inbound
Generative Model-Based Feature Attention Module for Video Action Analysis Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3a60db1-d478-4494-9f26-72276cbc68f0 · inbound
SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
Reference 39
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 b3e41ad7-0d8d-4b67-a87c-d464ed8a2629 · inbound
Visual Prompting Meets Feature Reconstruction-Based Anomaly Detection with Dual-Teacher Supervision Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
Reference 4
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.