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Paper Citation Record · LEDGER

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2508.14503.

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

pith.paper-citation-record.v1
2508.14503 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:32:36.166744Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:48:40.009858Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:48:40.611440Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact8
  • verified fuzzy35
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 226f0721-5084-4923-825b-6ff0cf8b46f9 · outbound

This paper cites Decomposition-based multi-scale transformer framework for time series anomaly detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Decomposition-based multi-scale transformer framework for time series anomaly detection,

Reference 1

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raw_fallback, observed 2026-08-05T18:32:44.325570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.056226Z digest=sha256:24f91d3fa40f5d62da579ef501590ca4e269eda19e85de8f844d117afe89aab9

Observation 0ed244a5-9f8a-4ce9-804c-5b4d01faa996 · outbound

This paper cites Multi-scale transformers with adaptive pathways for time series forecasting,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Multi-scale transformers with adaptive pathways for time series forecasting,

Reference 2

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raw_fallback, observed 2026-08-05T18:32:44.157765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.104197Z digest=sha256:527f509e84b740d0a07f404d6baf5451b0f6f3698e1d41c32ec78dcbf341cbde

Observation f4268ffb-fb69-49bd-8d06-448d00abd4a7 · outbound

This paper cites Graph-Based Representation Learning for Identifying Fraud in Transaction Networks,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Graph-Based Representation Learning for Identifying Fraud in Transaction Networks,

Reference 3

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raw_fallback, observed 2026-08-05T18:32:43.973052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.171035Z digest=sha256:805e746fdedb05dd718072e9b5d10631478092fe4a7f97c3081e31f34d464e16

Observation 162aae79-a6d4-433f-b449-5fa6dc3d8550 · outbound

This paper cites Reinforcement Learning in Finance: QTRAN for Portfolio Optimization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Reinforcement Learning in Finance: QTRAN for Portfolio Optimization,

Reference 4

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raw_fallback, observed 2026-08-05T18:32:43.789152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.259337Z digest=sha256:9b9f9dd1b37581b1b3fb999e4c6866ea2bb7a23a0de636a1543bfd29b580eb7b

Observation 5829a192-c1af-4777-acd7-c92a821dd725 · outbound

This paper cites A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data,

Reference 5

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no resolver link, observed 2026-08-05T18:32:31.294810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:31.294810Z digest=sha256:c9a042afba9b58bf25d51ff7254de729d5946254d3399b0018e65ef754442a56

Observation a135c37c-450b-46c7-a67e-34d5373bace9 · outbound

This paper cites Time-Series Nested Reinforcement Learning for Dynamic Risk Control in Nonlinear Financial Markets,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Time-Series Nested Reinforcement Learning for Dynamic Risk Control in Nonlinear Financial Markets,

Reference 6

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raw_fallback, observed 2026-08-05T18:32:43.607933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.393119Z digest=sha256:a743954489addea668e642dc4fbc8b2042bbdb9028b5191e32d72967ba720eee

Observation c1a72b11-4243-4711-8569-962c80621b77 · outbound

This paper cites Enhancing Systemic Risk Forecasting with Deep Attention Models in Financial Time Series,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Enhancing Systemic Risk Forecasting with Deep Attention Models in Financial Time Series,

Reference 7

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raw_fallback, observed 2026-08-05T18:32:43.483964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.469954Z digest=sha256:cc9c17ee47ae57aa8c3b0388f0e0b14fe9da0fd4abb6d78a21e93d8dc177fd7c

Observation 0403e9b5-9bc6-467a-98cf-7db217d56595 · outbound

This paper cites Transformer-Based Risk Monitoring for Anti-Money Laundering with Transaction Graph Integration,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Transformer-Based Risk Monitoring for Anti-Money Laundering with Transaction Graph Integration,

Reference 8

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raw_fallback, observed 2026-08-05T18:32:43.261838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.528784Z digest=sha256:ec628430090d345c4d526607e027b27ad7a1b961a5904d9315b35c16d53893b0

Observation f83b810d-364a-4752-a446-de3a6fd19774 · outbound

This paper cites Stock Prediction with Improved Feedforward Neural Networks and Multimodal Fusion,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Stock Prediction with Improved Feedforward Neural Networks and Multimodal Fusion,

Reference 9

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no resolver link, observed 2026-08-05T18:32:31.599422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:31.599422Z digest=sha256:29248748857ecebf4648eac38707aef44adc39de09b45f6e742b30a5dade3a40

Observation 2800bdbd-e38f-4c43-b16b-fe703070fa13 · outbound

This paper cites Market Turbulence Prediction and Risk Control with Improved A3C Reinforcement Learning,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Market Turbulence Prediction and Risk Control with Improved A3C Reinforcement Learning,

Reference 10

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no resolver link, observed 2026-08-05T18:32:31.675189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:31.675189Z digest=sha256:e406b49a445282ea15432c174d52963a0ca234c24facaca308a421481088ba1f

Observation 08c82bbb-c25f-4b0f-bda2-072eee30ea3a · outbound

This paper cites Opprentice: Towards practical and automatic anomaly detection through machine learning.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Opprentice: Towards practical and automatic anomaly detection through machine learning

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:43.053009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.747699Z digest=sha256:bdc16ffea14073c1c5ffdf55b197afe2089089808ea70f968694ebdbaf4788bb

Observation 9d9a32d2-f82f-4b96-932d-cb5ab74c6279 · outbound

This paper cites Automatic Anomaly Detection in the Cloud Via Statistical Learning.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Automatic Anomaly Detection in the Cloud Via Statistical Learning

Reference 12

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local_arxiv, observed 2026-08-05T18:32:37.583028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.825945Z digest=sha256:9a0e468fc8cd10ebf018d16c636ac5cf2d73699aad364bc94b685fc8b81ab0c9

Observation a933cdf2-03a1-4435-8bd7-5c0c686a0f0e · outbound

This paper cites Evaluating real-time anomaly detection algorithms—The Numenta Anomaly Benchmark.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Evaluating real-time anomaly detection algorithms—The Numenta Anomaly Benchmark

Reference 13

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raw_fallback, observed 2026-08-05T18:32:42.879212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.913442Z digest=sha256:0d2ae36104f97b712c5df941e1ad393115b6f770a6340f679b6b2f8740d1b31a

Observation 0ce9ea81-0f5f-4639-859e-2fe5537372ce · outbound

This paper cites EEG Anomaly Detection Using Temporal Graph Attention for Clinical Applications,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services EEG Anomaly Detection Using Temporal Graph Attention for Clinical Applications,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:42.631913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:31.976094Z digest=sha256:2a69b56e307666a47e1c00e8ea599f4200b5f2a5cec84705fa6ab674e71d7bb5

Observation b82e29a8-4dde-4bf9-bb51-6f6cef8eaea3 · outbound

This paper cites Multi-Scale Feature Integration and Spatial Attention for Accurate Lesion Segmentation,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Multi-Scale Feature Integration and Spatial Attention for Accurate Lesion Segmentation,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:42.437115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.039628Z digest=sha256:dc161c7531f9d6144db497db159968f545551492694bb88926d879da77d8d7dd

Observation c8893a5e-2763-4517-80af-81f9ff19f2b5 · outbound

This paper cites Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Reference 16

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no resolver link, observed 2026-08-05T18:32:32.101675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:32.101675Z digest=sha256:62d18f73f9e10b877f5aa888dffeae26b57f3b4cd2409b5ad61b47a1791328c5

Observation 751491ea-e0de-4cfb-8c48-b4d8e82e333f · outbound

This paper cites Domain-Adaptive Organ Segmentation through SegFormer Architecture in Clinical Imaging,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Domain-Adaptive Organ Segmentation through SegFormer Architecture in Clinical Imaging,

Reference 17

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raw_fallback, observed 2026-08-05T18:32:42.309581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.190796Z digest=sha256:25d02c21f25d8ee905d37b0f5765b32f3f8e337da9afec527b59702870a991b6

Observation 7433d561-9b46-492d-bd0a-566bd800eac6 · outbound

This paper cites Joint Modeling of Medical Images and Clinical Text for Early Diabetes Risk Detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Joint Modeling of Medical Images and Clinical Text for Early Diabetes Risk Detection,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:42.173629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.258121Z digest=sha256:d339633b42e747d8e5e9a2bf2983af44c878f540c6226ae3d8a8fde73677e8c1

Observation ec4ded8a-a960-4d4f-a3ac-459481648e8b · outbound

This paper cites A novel multi-scale network intrusion detection model with transformer,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A novel multi-scale network intrusion detection model with transformer,

Reference 19

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raw_fallback, observed 2026-08-05T18:32:42.014243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.326751Z digest=sha256:2def541fda1bf18bf55b034fb4619a3c7e8a577729c23f3da916b0db4e64e8af

Observation ab49a391-9378-4db2-9ed3-3b12c68b0991 · outbound

This paper cites MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast

Reference 20

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verified exact
local_arxiv, observed 2026-08-05T18:32:37.431199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.414106Z digest=sha256:4f38c32b2272d9a0c1c10533e8a7fbebb4e8675bd476e26813c2e5a93267748e

Observation aa5c5dc4-979c-4819-81da-d39277609dcc · outbound

This paper cites A Hybrid Recommendation Approach Integrating Matrix Decomposition and Deep Neural Networks for Enhanced Accuracy and Generalization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A Hybrid Recommendation Approach Integrating Matrix Decomposition and Deep Neural Networks for Enhanced Accuracy and Generalization,

Reference 21

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no resolver link, observed 2026-08-05T18:32:32.503075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:32.503075Z digest=sha256:230bb9ac3f1971ca753440185358ddbad9e59dba1b15defc62f0aeb38ed13774

Observation e021e5f5-1d74-4cfb-b5e8-f3485a3387eb · outbound

This paper cites Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks

Reference 22

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verified exact
local_arxiv, observed 2026-08-05T18:32:37.278726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.593264Z digest=sha256:fbb469ced7176f7f2dfed56d312517e0d1f796976569d7eeaadc4e441f8c0f1a

Observation 4ba982d7-bdd3-4180-be3a-93941e846c37 · outbound

This paper cites Sequential Recommendation via Time- Aware and Multi-Channel Convolutional User Modeling,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Sequential Recommendation via Time- Aware and Multi-Channel Convolutional User Modeling,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:41.844235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.681905Z digest=sha256:ded797f82edfc24f99905a3cea1b8f3502a504acc4c5b0e720a5d64ea9c011bb

Observation d51c8319-2087-45e3-bde0-4b4fa1026091 · outbound

This paper cites EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series

Reference 24

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verified exact
local_arxiv, observed 2026-08-05T18:32:37.113163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.752597Z digest=sha256:bc156fa2b567eb5991e3269df101f6483fab2a6ed062fe3c60bfd1540cbbb31e

Observation da36a741-19d3-4e9a-b29a-8a786cbf104d · outbound

This paper cites Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

Reference 25

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no resolver link, observed 2026-08-05T18:32:32.812628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:32.812628Z digest=sha256:7095c57024bbb004371deb84449947c0f31407eafd504e46e0a35cf0014a40dc

Observation 2168c193-085b-46a9-833a-6ea0ecdfddea · outbound

This paper cites Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,

Reference 26

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unresolved
no resolver link, observed 2026-08-05T18:32:32.857328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:32.857328Z digest=sha256:6f383ae50a493623dc25da5a912dc7b0038cf49362dc22fd42f91ab5995abf2e

Observation 025d243d-990f-4693-8547-adea0e73e52e · outbound

This paper cites Integrating Knowledge Graph Reasoning with Pretrained Language Models for Structured Anomaly Detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Integrating Knowledge Graph Reasoning with Pretrained Language Models for Structured Anomaly Detection,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:41.683605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.882836Z digest=sha256:9e4447b46a5de0d53d0fc2228466cc7e4ee856d49c811b0cae156e5799fb2e3b

Observation 067a6687-4526-49f6-b4a1-292be4765f52 · outbound

This paper cites Structured Path Guidance for Logical Coherence in Large Language Model Generation,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Structured Path Guidance for Logical Coherence in Large Language Model Generation,

Reference 28

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raw_fallback, observed 2026-08-05T18:32:41.495639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.905140Z digest=sha256:abed1c4883b7ab9340cc616e9ca7c4ec6dc7925098950141682519f406059ff1

Observation c55f0fc3-80b4-4019-9f37-0a1141b4e76a · outbound

This paper cites Anomaly detection and analysis for clustered cloud computing reliability,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Anomaly detection and analysis for clustered cloud computing reliability,

Reference 29

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raw_fallback, observed 2026-08-05T18:32:41.313316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.952330Z digest=sha256:b71dd552ddb4a0e18263096d6a7e63b354ff6504499f9e49d1b4672596f5948f

Observation d20d4b52-3b9b-45d4-9c31-6904ebbcfde0 · outbound

This paper cites Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:41.131061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:32.987368Z digest=sha256:22ac5939ba569aa612e763f853f51f80197823a03ee082e1f39aacbf48ded751

Observation 5a2b649e-299a-4935-96cd-b51206ad6e6c · outbound

This paper cites Self-Attention-Based Modeling of Multi-Source Metrics for Performance Trend Prediction in Cloud Systems,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Self-Attention-Based Modeling of Multi-Source Metrics for Performance Trend Prediction in Cloud Systems,

Reference 31

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raw_fallback, observed 2026-08-05T18:32:40.954124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:33.043415Z digest=sha256:1d84ad7872906c3068e65808ad0a3be235955d9901bf3be4f2d9331c06ae090a

Observation eead64d4-ed54-45f9-9596-b36eca45792c · outbound

This paper cites Graph Neural Recognition of Malicious User Patterns in Cloud Systems via Attention Optimization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Graph Neural Recognition of Malicious User Patterns in Cloud Systems via Attention Optimization,

Reference 32

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raw_fallback, observed 2026-08-05T18:32:40.776178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:33.108618Z digest=sha256:524a299874ca240cd164b8debb48cbd11f3d1ed6fd9d463f5afc6f5d443f57e3

Observation e3daeb53-2aab-413a-b286-cc25cc5abe84 · outbound

This paper cites Deep Learning for Root Cause Detection in Distributed Systems with Structural Encoding and Multi-modal Attention,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Deep Learning for Root Cause Detection in Distributed Systems with Structural Encoding and Multi-modal Attention,

Reference 33

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raw_fallback, observed 2026-08-05T18:32:40.620952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:33.256434Z digest=sha256:96db110d68c427a116e0a2cdc24d3676668a9594c355067b7a00420414b9ffb6

Observation 33ba78c3-ce26-42eb-9e75-e2119ad3bbf4 · outbound

This paper cites PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection

Reference 34

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no resolver link, observed 2026-08-05T18:32:33.312342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:33.312342Z digest=sha256:2193804f77b7d39b1f4ebc6db89d1e6400c4e8bec1288975aadfa1725cd9f937

Observation fffca1ff-b4a7-453b-95be-27526d740ec1 · outbound

This paper cites A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention

Reference 35

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verified exact
local_arxiv, observed 2026-08-05T18:32:36.863798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:33.458632Z digest=sha256:6bc4fdd0fc149dc50822bd85f4b26f1273f46101258dceeaee44817a72eaba92

Observation 80e99b8b-9996-4878-983f-50367bc87991 · outbound

This paper cites Multi-scale feature reconstruction network for industrial anomaly detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Multi-scale feature reconstruction network for industrial anomaly detection,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:40.527023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:33.607439Z digest=sha256:ef755794a577d981ab3416b60b55a66a7edbbfbd9bf6505c694694044da892ab

Observation 3d1d033f-f6ba-4494-a92a-7bb9cff01083 · outbound

This paper cites Temporal fusion transformers for interpretable multi-horizon time series forecasting,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Temporal fusion transformers for interpretable multi-horizon time series forecasting,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:40.402268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:33.746316Z digest=sha256:bfb2678f6c6717046a7a41159f8421bf48f1e8dde84aaeb334ac2c8ab490a9d2

Observation a8e8ddd5-01d5-4e53-b634-078ccaa3a25a · outbound

This paper cites Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation

Reference 38

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verified exact
local_arxiv, observed 2026-08-05T18:32:36.807581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:33.890466Z digest=sha256:5827636915f9b744beef44ca197bb4dc99f6a5c2d04c81e7431d8f34ff47668e

Observation f5f5b4d0-13de-4a94-b9db-4b45119b1ecc · outbound

This paper cites Predictive Modeling of Volatility Using Generative Time-Aware Diffusion Frameworks,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Predictive Modeling of Volatility Using Generative Time-Aware Diffusion Frameworks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:40.182299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:34.074310Z digest=sha256:f57085e9494d2ffdade47291cce932a2fa2a5ecdb4792324514415290129e4ca

Observation cbb610dd-2ae9-49d0-9518-351bed53c034 · outbound

This paper cites Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:39.941602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:34.219815Z digest=sha256:2b6dcc4e62d26a711c347dd5eab5ae4d0adb09e5a0441b6600ac54735115facc

Observation 826fda2c-9e61-453c-937c-189ae1aa8aa7 · outbound

This paper cites Dynamic operating system scheduling using double DQN: A reinforcement learning approach to task optimization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Dynamic operating system scheduling using double DQN: A reinforcement learning approach to task optimization,

Reference 41

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unresolved
no resolver link, observed 2026-08-05T18:32:34.390133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:34.390133Z digest=sha256:2045a18685f96ec121df0f96406cfedfc9831a5124cfbc13090be5059f5bb827

Observation b701d6d8-ab46-4829-8e0a-f11ed5ecc6cc · outbound

This paper cites State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:32:36.653057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:34.544124Z digest=sha256:227cfcdba2a42f901604c08b4103dbe0f945d73b5b0dd07e402537b427fb6381

Observation 7554c17c-40ce-4967-a847-f1ff3884906a · outbound

This paper cites Autonomous Resource Management in Microservice Systems via Reinforcement Learning.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Autonomous Resource Management in Microservice Systems via Reinforcement Learning

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:32:36.432151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:34.651134Z digest=sha256:dce9e3613d7dc22289b410b5935f728790c913af298905c5bd19f1389ed48568

Observation 654bc6bf-d7c8-44fd-acbb-2ca5a5815198 · outbound

This paper cites Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T18:32:34.738281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:34.738281Z digest=sha256:a1c6a12c105f63f18acee84faf978e412234455e45f5ae8ddee0fe04aa356e54

Observation d86efaa1-320c-478a-90e0-91a352f6328e · outbound

This paper cites Privacy-Enhanced Federated Learning for Distributed Heterogeneous Data,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Privacy-Enhanced Federated Learning for Distributed Heterogeneous Data,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:39.695626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:34.891363Z digest=sha256:f24a193fce0ac84f2002b003a30312a5c3b29a739ec92888b46f374f587382fe

Observation 3d46cfff-8f98-43e3-89b9-fb14bfb2d70a · outbound

This paper cites An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:39.406791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:35.029950Z digest=sha256:11f1a0cb35a609d5cacaf67c62a95a1afac71d4d544717074bf025d1541fdf27

Observation 462375ea-f795-4dd4-86f0-a7ee9a64f8d6 · outbound

This paper cites Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:39.164020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:35.153145Z digest=sha256:68b25dbe7b1502bf176beff2f26be35abe0ddbdd62492522b2296b95f4e462e2

Observation 04a30891-6b59-4aa8-8ce7-49bdcc0cc78c · outbound

This paper cites Transferable Load Forecasting and Scheduling via Meta- Learned Task Representations,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Transferable Load Forecasting and Scheduling via Meta- Learned Task Representations,

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:38.900721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:35.281617Z digest=sha256:e8c0b4d1a6dab0a8f44ea48377698d383133dbf408d225f16fb5d0db51471c7f

Observation a12dcf9c-f313-49ee-a0cf-65d4de193084 · outbound

This paper cites Deep residual learning for image recognition,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Deep residual learning for image recognition,

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-05T18:32:38.667489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:35.389394Z digest=sha256:f28c21d122c25eef9c49f0e51faba2b3c4803c9e68cfd0637b1db65b167a2360

Observation af94216b-13b7-49d7-8693-69f1ad587df5 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 50

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unresolved
no resolver link, observed 2026-08-05T18:32:35.488546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:35.488546Z digest=sha256:698bac6db42347e6d7360b3d3bc58e994d19ed7c7e4ad926c56e263fc351d70e

Observation 23f62170-185c-415a-9bc7-5bb642e50a5f · outbound

This paper cites A review on the long short-term memory model,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A review on the long short-term memory model,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:38.487590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:35.602954Z digest=sha256:0f3034f44f12d5173935d3212f7ba34851996fbc6d102519ea2f3d40ce07a690

Observation 29351dab-71ee-4ef0-b888-0b8c25731618 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T18:32:35.794402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:35.794402Z digest=sha256:f159842205314be8d0426e1fcbc1c78dd5272574e81a66ddcfc0c2960d77f759

Observation 740b0ff6-341a-4d47-a28c-7e1a82d62965 · outbound

This paper cites Attention is all you need,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Attention is all you need,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:38.241297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:35.933221Z digest=sha256:9f61f23cba73d3d0077ad059f3ebbbedfb83a93df1bdbe9eb882fbb3387ca719

Observation 76ad26bf-6de7-4492-b65f-755905b2d2d7 · outbound

This paper cites A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:38.018450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:36.046729Z digest=sha256:b912c0723770fa341c178699caeedf01fb86dcad764bfa3c0949b2e23841c3d3

Observation 9f533471-77df-4940-92c7-680bb877e254 · outbound

This paper cites Exathlon: A benchmark for explainable anomaly detection over time series.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Exathlon: A benchmark for explainable anomaly detection over time series

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:32:37.781376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T18:32:36.166744Z digest=sha256:a2f141465a115a841db52ff6022faaf92d8d30beef0432e111e4a0a7dd9b47f3

Pith citing papers

Observation 2b7f6fbd-c306-4731-bf9a-4429355059bb · inbound

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks cites this paper.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:48:40.726238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:40.009858Z digest=sha256:41a45001b332aa0f8645795d67e5932d7ae972a698083ca7cba71a9ee78dafe1