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Paper Citation Record · LEDGER

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services

As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2507.01067.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.01067 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:23.385476Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

79 of 79 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20c05aad-c463-4039-a214-26a7f4e36541 · outbound

This paper cites Outage detection via real -time social stream analysis: leveraging the power of online complaints ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Outage detection via real -time social stream analysis: leveraging the power of online complaints ,

Reference 1

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c0ccff24-7a4f-451e-8d56-33b1f0157916 · outbound

This paper cites #facebookdown: Time to panic or detox? Understanding users’ reactions to social media outage ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services #facebookdown: Time to panic or detox? Understanding users’ reactions to social media outage ,

Reference 2

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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.

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Observation 3dcf9f42-9872-405c-be0d-44f251077ddc · outbound

This paper cites Software Reliability Modeling Survey,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Software Reliability Modeling Survey,

Reference 3

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0bc64863-376e-40e9-b3ba-41f405a348db · outbound

This paper cites Software Reliability Growth Model,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Software Reliability Growth Model,

Reference 4

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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.

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Observation bc932a96-43b1-42b4-ab91-40b08a9cea92 · outbound

This paper cites an unresolved cited work.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Unresolved cited work

Reference 5

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unresolved
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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.

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Observation 952d0b5f-413c-48ad-b389-cca186cf78a9 · outbound

This paper cites Theory and Practice.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Theory and Practice

Reference 6

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verified fuzzy
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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.

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Observation 1a56a4ab-4808-458a-a038-2ca6934b3835 · outbound

This paper cites https://agilemanifesto.org/.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services https://agilemanifesto.org/

Reference 7

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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.

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Observation bf970cc1-1db7-4089-9427-8e67e9bef54d · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services A decoder-only foundation model for time-series forecasting

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 68798000-84ed-475a-98d1-7c9c9be06d31 · outbound

This paper cites Time -Dependent Error -Detection Rate Model for Software Reliability and Other Performance Measur es,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Time -Dependent Error -Detection Rate Model for Software Reliability and Other Performance Measur es,

Reference 9

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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.

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Observation cc73c186-4e4f-4ddf-856b-c5108aee8698 · outbound

This paper cites Software Reliability Growth Modeling: Models and Applications,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Software Reliability Growth Modeling: Models and Applications,

Reference 10

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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.

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Observation 01c72924-36b8-467e-9405-8af305334b8b · outbound

This paper cites In: Software Reliability Handbook.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services In: Software Reliability Handbook

Reference 11

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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.

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Observation a13326b0-eb8d-4423-80b7-aa3b665d3cb2 · outbound

This paper cites The use of reliability growth models in project management,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services The use of reliability growth models in project management,

Reference 12

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Source-reported events for the cited work

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Observation cffef42c-cd8e-43ce-ac48-c7a07d0c4c08 · outbound

This paper cites What bugs cause production cloud incidents? ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services What bugs cause production cloud incidents? ,

Reference 13

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Source-reported events for the cited work

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Observation c1947b22-bdbd-49d5-a9bd-bad42de964d7 · outbound

This paper cites Norming to Performing: Failure Analysis and Deployment Automation of Big Data Software Developed by Highly Iterative Models,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Norming to Performing: Failure Analysis and Deployment Automation of Big Data Software Developed by Highly Iterative Models,

Reference 14

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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.

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Observation d489dbaa-ebf4-4e82-9335-2eda02dbf5ef · outbound

This paper cites How to fight production incidents? An empirical study on a large -scale cloud service ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services How to fight production incidents? An empirical study on a large -scale cloud service ,

Reference 15

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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.

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Observation e1d503f9-b4ee-472d-b601-72a9fb44b7e5 · outbound

This paper cites Debugging Incidents in Google’s Distributed Systems: How experts debug production issues in complex distributed systems,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Debugging Incidents in Google’s Distributed Systems: How experts debug production issues in complex distributed systems,

Reference 16

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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.

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Observation 25d277c6-f7d6-4698-8693-e1aa18014dd5 · outbound

This paper cites Outage-Watch: Early Prediction of Out ages using Extreme Event Regularizer,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Outage-Watch: Early Prediction of Out ages using Extreme Event Regularizer,

Reference 17

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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.

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Observation a5801622-349d-4dd4-89f9-6f1ff3f40465 · outbound

This paper cites Albeverio, V.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Albeverio, V

Reference 18

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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.

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Observation de5d188d-ad0c-4842-b17b-0702607ffe84 · outbound

This paper cites Extreme events: dynamics, statistics and prediction,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Extreme events: dynamics, statistics and prediction,

Reference 19

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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.

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Observation 6ed84645-82cd-48c1-b511-3be63ccbbbd5 · outbound

This paper cites Haan and A.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Haan and A

Reference 20

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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.

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Observation 725882cf-45de-45a0-8b3b-225e9f5722c7 · outbound

This paper cites Time -series extreme event forecasting with neural networks at Uber,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Time -series extreme event forecasting with neural networks at Uber,

Reference 21

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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.

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Observation acc1b614-8c00-4faa-ba4c-8967ca5356c7 · outbound

This paper cites Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction,

Reference 22

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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.

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Observation 620a9f96-3dfb-4dc1-8c06-91ed3d670d32 · outbound

This paper cites Modeling extre me events in time series prediction ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Modeling extre me events in time series prediction ,

Reference 23

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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.

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Observation 2d358e81-94ca-40f3-bda2-e9c208f21287 · outbound

This paper cites an unresolved cited work.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Unresolved cited work

Reference 24

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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.

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Observation ea937ecc-091d-493b-bc30-4885233a2b76 · outbound

This paper cites an unresolved cited work.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Unresolved cited work

Reference 25

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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.

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Observation 4b02d255-0860-470c-abe8-93bf452c65a9 · outbound

This paper cites an unresolved cited work.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Unresolved cited work

Reference 26

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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.

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This paper cites Are Transformers Effective for Time Series Forecasting? ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Are Transformers Effective for Time Series Forecasting? ,

Reference 27

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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.

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Observation e3e0451a-6edd-456a-bf4a-b6ccc6715e10 · outbound

This paper cites One Fits All:Power General Time Series Analysis by Pretrained LM.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services One Fits All:Power General Time Series Analysis by Pretrained LM

Reference 28

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:19.314174Z digest=sha256:951bb7121ed2e6753fe3d5dddbe01afe6ae23a41b05cb9039d613e18531bd373

Observation 9af9dbc2-5293-472b-a2f7-da1d7c914411 · outbound

This paper cites Bidirectional recurrent neural networks,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Bidirectional recurrent neural networks,

Reference 29

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verified fuzzy
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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.

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Observation 42d53b7b-14d5-402c-8a54-e614816258d9 · outbound

This paper cites Outage prediction and diagnosis for cloud service systems,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Outage prediction and diagnosis for cloud service systems,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.129602Z

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.

source=pdf_text observed=2026-08-06T21:25:19.466472Z digest=sha256:85e42f2280ce5b09f7ca0ba7d3857be9327e4dfc4e5266361c10f56f78660c51

Observation be2ed013-e555-45c0-af4d-c34a6bfdd661 · outbound

This paper cites Real-time incident prediction for online service systems,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Real-time incident prediction for online service systems,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.116924Z

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.

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Observation d71bac94-cbce-42e5-9a84-6ea5397f96f5 · outbound

This paper cites Fighting the Fog of War: Automated Incident Detection for Cloud Systems ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Fighting the Fog of War: Automated Incident Detection for Cloud Systems ,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.104826Z

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.

source=pdf_text observed=2026-08-06T21:25:19.651049Z digest=sha256:c8360b9e2b4edc2c9e36218bbdd58c9c76e08b27a84e0c1775099f90a3d142b5

Observation a02b757a-6743-4e39-9a2a-32cbddb0761b · outbound

This paper cites Adaptive performance anomaly detection for online service systems via pattern sketching,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Adaptive performance anomaly detection for online service systems via pattern sketching,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.092803Z

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.

source=pdf_text observed=2026-08-06T21:25:19.758257Z digest=sha256:ea1aeaabc8083c5d2d7e9bfb2ae73e5118c41ff81039c982e0cffdfb54f8f52d

Observation 545255b5-f864-4cea-a4d9-b0ae06570b89 · outbound

This paper cites Fault detection and diagnosis using combined autoencoder and long short -term memory network ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Fault detection and diagnosis using combined autoencoder and long short -term memory network ,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.080113Z

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.

source=pdf_text observed=2026-08-06T21:25:19.868115Z digest=sha256:281ffc6a113e9680214b84bd16c8b72c171db347986a0d006747f94767a3547e

Observation 07b8b6e1-315a-40c2-a6ac-f65a600ce8f2 · outbound

This paper cites Deep convolutional neural network model based chemical process fault diagnosis,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Deep convolutional neural network model based chemical process fault diagnosis,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.066211Z

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.

source=pdf_text observed=2026-08-06T21:25:19.987341Z digest=sha256:d224c1a524418fec545524a13aec64a4ee74e13e0ec884cd4e5b0fc5d61d7c53

Observation 4146baf3-5976-46a0-bcf1-fe2c3f57b2ef · outbound

This paper cites Cross-dataset time series anomaly detection for cloud systems ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Cross-dataset time series anomaly detection for cloud systems ,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.052432Z

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.

source=pdf_text observed=2026-08-06T21:25:20.087353Z digest=sha256:7a863501dca42e2183add1224ec3e707ec70759ebe5002cc74e16d09c18cd9d6

Observation a111c7d9-42d9-4a12-8eef-3802695ed9b3 · outbound

This paper cites Large scale predictive analytics for hard disk remaining useful life estimation ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Large scale predictive analytics for hard disk remaining useful life estimation ,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.039704Z

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.

source=pdf_text observed=2026-08-06T21:25:20.159954Z digest=sha256:4d3205de4b040ba3b5d2f2a176c914c533f9ca8c1711393e312a835483b4912a

Observation 35a5c884-5415-4c57-b062-6a7ff8663075 · outbound

This paper cites Making disk failure predictions smarter! ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Making disk failure predictions smarter! ,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.027297Z

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.

source=pdf_text observed=2026-08-06T21:25:20.262449Z digest=sha256:4f083f7c0638c3cf45c1a4d2367cc91407683cb5a48eb5d4563110d6ebdb1edd

Observation 1475d5fb-c14d-482e-8ba6-54cedff3a7d9 · outbound

This paper cites Predicting Failures in Hard Drives with LSTM Networks,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Predicting Failures in Hard Drives with LSTM Networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.015546Z

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.

source=pdf_text observed=2026-08-06T21:25:20.335307Z digest=sha256:59a9d13821f9e972d01a8ab7ad0082d266f52c85e2d829e296329e14fb6f8347

Observation 402f1e9d-fe59-4a91-8317-3604f12aa7fe · outbound

This paper cites A multimodal anomaly detector for robot-assisted feeding using an LSTM-based variational autoencoder ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services A multimodal anomaly detector for robot-assisted feeding using an LSTM-based variational autoencoder ,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:28.002867Z

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.

source=pdf_text observed=2026-08-06T21:25:20.407981Z digest=sha256:f0680cc613de52baf61dc4401592a83ab18a423688839a2e44a8f392ce07de29

Observation 0138c21f-6864-4cc5-98ed-1db6dc5ad678 · outbound

This paper cites Robust anomaly detection for multivariate time series through stochastic recurrent neural network,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.989147Z

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.

source=pdf_text observed=2026-08-06T21:25:20.483858Z digest=sha256:b8fe0669e8d006df53c67f5b17d256e1c6a64f06f6de5df7f6a4f885bf75b6e9

Observation c8a90473-62e2-413d-9ce5-8ccb042ee1ad · outbound

This paper cites TranAD: deep transformer networks for anomaly detection in multivariate time series data ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services TranAD: deep transformer networks for anomaly detection in multivariate time series data ,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.976147Z

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.

source=pdf_text observed=2026-08-06T21:25:20.591951Z digest=sha256:d9216a18da84609d324d58424804549893197278d432769b7d3bebd6f077022c

Observation 6944fcfe-e426-4619-b093-4f1cba8cbd7e · outbound

This paper cites ARIMA models to predict next -day electricity prices,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services ARIMA models to predict next -day electricity prices,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.964599Z

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.

source=pdf_text observed=2026-08-06T21:25:20.672704Z digest=sha256:638948137754fd223c1bf2589408b1db63eaaea33cd09337154e270458a8215c

Observation 6a6e9b68-04b7-4ec3-b4a6-1cf26bbbc6e1 · outbound

This paper cites ARIMA -Based Time Series Model of Stochastic Wind Power Generation,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services ARIMA -Based Time Series Model of Stochastic Wind Power Generation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.952332Z

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.

source=pdf_text observed=2026-08-06T21:25:20.820118Z digest=sha256:bf008cc63df837d8ce4dc724dfc90c404d43ff52c9d852abd02d8df41a59ff5d

Observation ac10d5d7-413e-4350-9c76-250eb1586df7 · outbound

This paper cites Stock Price Prediction Using the ARIMA Model,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Stock Price Prediction Using the ARIMA Model,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.941936Z

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.

source=pdf_text observed=2026-08-06T21:25:20.906561Z digest=sha256:7501d4560579ccd3842b1ac8e2361e4014968920bc03aa714b105898069df29a

Observation a554e249-308c-4c46-9935-51d91f2c73af · outbound

This paper cites Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.931305Z

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.

source=pdf_text observed=2026-08-06T21:25:21.033519Z digest=sha256:5f41f06e06b1cf1a596a21de5b61b2a65ae44e23108b7044a136b42c8a6ef8c8

Observation 62fd57e1-279c-434c-87d2-819957c10db0 · outbound

This paper cites Forecasting seasonals and trends by exponentially weighted moving averages,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Forecasting seasonals and trends by exponentially weighted moving averages,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.920165Z

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.

source=pdf_text observed=2026-08-06T21:25:21.135138Z digest=sha256:5deb8e60f87da527ce9989788fc8bc3356bbdc7a338bcb4450e00aed76cc3102

Observation 8e99e445-6d9d-4176-b692-797c49ae285a · outbound

This paper cites Greedy function approximation: a gradient boosting machine,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Greedy function approximation: a gradient boosting machine,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.909441Z

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.

source=pdf_text observed=2026-08-06T21:25:21.213632Z digest=sha256:bf0750d56c69a01d4552842b1856813e272ae36a1f3ce6d204c3fda8a67151e6

Observation 0164e50f-f032-4b04-aed0-a53890040f49 · outbound

This paper cites Recurrent Networks and NARMA Modeling,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Recurrent Networks and NARMA Modeling,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.897659Z

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.

source=pdf_text observed=2026-08-06T21:25:21.281893Z digest=sha256:0128c66a33cc1b626a47efacb4ce4741b9ab53bc2de80da4ef7f4b4ed1e51806

Observation 2867ffc2-16c6-464e-bb91-9f4bd5b0e39b · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 50

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unresolved
no resolver link, observed 2026-08-06T21:25:21.387446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:21.387446Z digest=sha256:238d75953aaac11ef3d554e6e1df185eb48f58f8c42ad2dbd688727c647787a2

Observation 71dd51a5-2536-40c6-bcfd-ae39c1032448 · outbound

This paper cites Long short -term memory,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Long short -term memory,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.885433Z

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.

source=pdf_text observed=2026-08-06T21:25:21.496570Z digest=sha256:31f65b6b6bedbdbe5611f155decfe5f0bbc5525c901f547c99bb2ccda34b5eb7

Observation 840b87d6-6af5-4787-9f91-4fd52f2cffd3 · outbound

This paper cites Modeling Long- and Short- term Temporal Patterns with Deep Neural Networks,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Modeling Long- and Short- term Temporal Patterns with Deep Neural Networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.873044Z

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.

source=pdf_text observed=2026-08-06T21:25:21.562655Z digest=sha256:348862bcf1648afb8e69b8829e0a4a28e09d93bd245d4d3b0ef58e3de30c9e86

Observation eefdf9c7-74c1-4967-b33f-001979fadf4b · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 53

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unresolved
no resolver link, observed 2026-08-06T21:25:21.632470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:21.632470Z digest=sha256:f8e411a65fa5ea72d12cb12d3a738f23f2b56731d36100971566a8a2a508a14b

Observation 237c4264-e677-4842-b1e7-e806d7cf0c71 · outbound

This paper cites SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

Reference 54

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unresolved
no resolver link, observed 2026-08-06T21:25:21.706041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:21.706041Z digest=sha256:89bef7c76477d324be15a1e17cb3da1c6bd5457521416e6385de1a6caf2a4e35

Observation 15139c3e-42b8-4da2-a526-7947c8746241 · outbound

This paper cites Attention is all you need,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Attention is all you need,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.640806Z

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.

source=pdf_text observed=2026-08-06T21:25:21.782447Z digest=sha256:b84bab9ae40ba3f5393d54ab4b67e579b6614618c4f21997121b3234d57b845e

Observation 6459d5e7-9e08-40f3-bff2-9ca67b3e7fd4 · outbound

This paper cites LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Reference 56

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unresolved
no resolver link, observed 2026-08-06T21:25:21.890381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:21.890381Z digest=sha256:f0e12158c61f049a2c672ac7f5c5526233a5e731f3f5b13d87c7a2b44bd02fa6

Observation 95800d71-3d92-4e61-b920-663e3be75e09 · outbound

This paper cites Large Language Models Are Zero-Shot Time Series Forecasters.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Large Language Models Are Zero-Shot Time Series Forecasters

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:21.994430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:21.994430Z digest=sha256:348d1d904f380b10f5d5621bb0ba1a25fe816cc47e4401cf98a68db50026e931

Observation 9be5c2b8-1b83-4c41-be9b-45985aa32c2c · outbound

This paper cites A time series is worth 64 words: Long -term forecasting with transformers,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services A time series is worth 64 words: Long -term forecasting with transformers,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.408038Z

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.

source=pdf_text observed=2026-08-06T21:25:22.069523Z digest=sha256:8e12d2d00a2ad170bffda718f725b25aa1da3997e4b85801c0bb1d93e148763a

Observation 91fa4e38-8184-4a58-a8a5-7c35b5d5f711 · outbound

This paper cites Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:27.117829Z

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.

source=pdf_text observed=2026-08-06T21:25:22.120255Z digest=sha256:b9659693b1df5a9a928246e0ffdab5c704b98adc009e2666cb87e33ea9f38022

Observation 838d3db7-9454-4a2b-82f2-6004c11d9f25 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time -series 14 > REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE -CLICK HERE TO EDIT) < forecasting,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Informer: Beyond efficient transformer for long sequence time -series 14 > REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE -CLICK HERE TO EDIT) < forecasting,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:26.849580Z

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.

source=pdf_text observed=2026-08-06T21:25:22.228448Z digest=sha256:59d4361f7410b870b27cbc396831521e712fa5f19926e4ff796a7226c32c6c46

Observation 207662f6-54fa-4420-bf43-cce0df8b5296 · outbound

This paper cites Pyraformer: Low -complexity pyramidal attention for long -range time series modeling and forecasting,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Pyraformer: Low -complexity pyramidal attention for long -range time series modeling and forecasting,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:26.605313Z

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.

source=pdf_text observed=2026-08-06T21:25:22.339319Z digest=sha256:358fa0195bd73c7a8ee742a37cc494b9f2e2616857ff14e07b5ccd96e24f9e1b

Observation bcafaee2-f390-4cf8-b0ad-f962aa2178a6 · outbound

This paper cites Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version

Reference 62

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unresolved
no resolver link, observed 2026-08-06T21:25:22.403714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:22.403714Z digest=sha256:eefd7db61acf8ad33b130f50401d02319164becef854cc01322787d931953da0

Observation 443d65fd-3537-4c20-bb7d-1162698174e4 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long -term series forecasting,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Fedformer: Frequency enhanced decomposed transformer for long -term series forecasting,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:26.419898Z

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.

source=pdf_text observed=2026-08-06T21:25:22.464732Z digest=sha256:9defed6c8174a911ad08be95663aa25380ebb31d02e107c71fbab56df865016e

Reference 64

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unresolved
no resolver link, observed 2026-08-06T21:25:22.506329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:22.506329Z digest=sha256:ec39eb5ce417d8616c38cb9a34b79d61449e24f5214a1d2439737caa75860b8a

Observation 8ab78736-7a05-4757-943c-0a21bf66f7de · outbound

This paper cites Autoformer: Decomposition transformers with auto -correlation for long -term series forecasting ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Autoformer: Decomposition transformers with auto -correlation for long -term series forecasting ,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:26.172920Z

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.

source=pdf_text observed=2026-08-06T21:25:22.570887Z digest=sha256:64046da1125d994d866a65c4e3cedb4acc40ab3b0fbbb603f7f07d204ca8f933

Reference 66

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unresolved
no resolver link, observed 2026-08-06T21:25:22.612697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:22.612697Z digest=sha256:0beff0ce8a4cfaf4a837829211fb71c6511a9ee2540b908eaa20043b8866ccd0

Observation 03452e7f-8d0f-44d8-af65-471a0595618e · outbound

This paper cites TSMixer: An All-MLP Architecture for Time Series Forecasting.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 67

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unresolved
no resolver link, observed 2026-08-06T21:25:22.672473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a92fcc90-f442-47b7-b7a6-946143bdf5e2 · outbound

This paper cites SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:22.712207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3400ccae-0051-44b7-ab4f-59859c87bf15 · outbound

This paper cites an unresolved cited work.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:25:25.862200Z

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.

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Observation fb65d4c9-081d-4b30-914c-f8e59ecfd42a · outbound

This paper cites an unresolved cited work.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:25:25.472086Z

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.

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Observation 62cd980e-8b90-462a-8b7b-f78ad7ed150f · outbound

This paper cites an unresolved cited work.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:25:25.313725Z

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.

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Observation 646cba1d-4bda-4d6d-a020-cb762dd1ac47 · outbound

This paper cites Fast Outage Analysis of Large -scale Production Clouds with Service Correlation Mining,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Fast Outage Analysis of Large -scale Production Clouds with Service Correlation Mining,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:25.148929Z

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.

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Observation d9ec65ea-855c-43eb-8af2-319cb8d0a458 · outbound

This paper cites Root cause detection in a service - oriented architecture ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Root cause detection in a service - oriented architecture ,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:24.870833Z

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.

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Observation 93acde63-d98f-4d71-ae7a-104e3c341b0e · outbound

This paper cites ESRO: Experience Assisted Service Reliability against Outages ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services ESRO: Experience Assisted Service Reliability against Outages ,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:24.694237Z

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.

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Observation ead892fc-e7a1-40ae-86d1-8821b57adce5 · outbound

This paper cites Assess and Summarize: Improve Outage Understan ding with Large Language Models,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Assess and Summarize: Improve Outage Understan ding with Large Language Models,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:24.450992Z

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.

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Observation dd89ebd7-863c-44cd-b64c-2aec709dc01d · outbound

This paper cites Recurrent neural network for rain estimation using commercial microwave links,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Recurrent neural network for rain estimation using commercial microwave links,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:24.248044Z

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.

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Observation d9cb62ae-d2df-4e5c-bdc1-ed60e08d18bf · outbound

This paper cites L Shooman, Probabilistic Reliability: an Engineering Approach , Robert E.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services L Shooman, Probabilistic Reliability: an Engineering Approach , Robert E

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:24.128277Z

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.

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Observation f8118c4c-581c-4866-85d8-f90b0ea1cc2d · outbound

This paper cites "Is my internet down?.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services "Is my internet down?

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:23.894261Z

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.

source=pdf_text observed=2026-08-06T21:25:23.289745Z digest=sha256:972250426cbf68667680e3d672534563b4648cdf1e5f080e92a4a704ceb6ad47

Observation e1e8b6e4-7ce8-4588-b61a-07db9b52be8a · outbound

This paper cites Crosslayer network outage classification using machine learning ,.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Crosslayer network outage classification using machine learning ,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:23.653042Z

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.

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Pith citing papers

No inbound Pith citation observations are available.