Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.16831.
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, observed 2026-08-06T21:32:23.736753Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:06:26.629135Z
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 515a5ab5-4716-4b28-bc7f-247924f1171a · inbound
Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs cites this paper.
Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:32:23.736753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5e98082-211c-4051-ab4d-8f7c85735090 · inbound
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework cites this paper.
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:22:48.949035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd694b6e-3178-4692-8db5-2bb4a618471e · inbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection cites this paper.
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:06:26.630859Z
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.