Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:43:08.091065Z
Paper Citation Record · LEDGER
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2506.23596.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:35:37.725706Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
12 of 12 outbound references displayed
- verified exact1
- verified fuzzy5
- unresolved5
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d7d0d997-3632-4214-994c-102ee1163b98 · outbound
This paper cites an unresolved cited work.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:43:09.710143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2fd7961c-17a2-43c6-90b4-af501460a390 · outbound
This paper cites TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:43:07.550290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db483eb9-15ca-440d-8f12-c0117ec0f04b · outbound
This paper cites Beatgan: Anomalous rhythm detection using adversarially gener- ated time series.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Beatgan: Anomalous rhythm detection using adversarially gener- ated time series
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:43:09.058026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc52800a-1048-4d01-ad1b-1441b94f874f · outbound
This paper cites The result implies that driving anomaly probability to be continuous (MSE) rather than discrete (BCE) is better to learn Anomaly-Aware Forecasting Network effectively.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series The result implies that driving anomaly probability to be continuous (MSE) rather than discrete (BCE) is better to learn Anomaly-Aware Forecasting Network effectively
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:43:08.609306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fbfff071-6eed-4ce8-ae83-715f48498594 · outbound
This paper cites Across these baselines, A2P consistently achieved the highest performance.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Across these baselines, A2P consistently achieved the highest performance
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:43:08.457470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 51c87132-5eb0-4015-85a3-9abf1930c4d8 · outbound
This paper cites an unresolved cited work.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Unresolved cited work
Reference 256
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T21:43:08.781589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed688bb3-c42b-4daf-9661-d134426c4ee7 · outbound
This paper cites Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:43:07.196531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a11cfffd-1faf-46c1-b568-85df060955d7 · outbound
This paper cites When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models
Reference 2019
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:43:08.290956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d940f9c2-d698-4516-98a3-096dcd92e282 · outbound
This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:43:07.134202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccc7c596-ffe5-4b40-997f-b33c32257d2b · outbound
This paper cites FITS: Modeling Time Series with $10k$ Parameters.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series FITS: Modeling Time Series with $10k$ Parameters
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:43:07.654322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 801a8b8d-4f70-4423-af82-89a16e0bb4f9 · outbound
This paper cites Anomaly prediction: A novel approach with explicit delay and horizon.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Anomaly prediction: A novel approach with explicit delay and horizon
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:43:09.277425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0506449-6087-4bee-b40a-b7e34735fbcc · outbound
This paper cites and Ünal, G.
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series and Ünal, G
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:43:09.546968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation f83915fa-a4be-4edf-8188-732a5c6a1787 · inbound
SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction cites this paper.
SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:35:37.725706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.