Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach | Paper Citation Record

Observation 03ab6e4b-aed8-4997-b941-0465c4f73039 · outbound

This paper cites An approximation method of origin–destination flow traffic from link load counts,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach An approximation method of origin–destination flow traffic from link load counts,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.754406Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b6547e1-154d-4afc-b151-90a5fc6a76a9 · outbound

This paper cites Internet traffic matrices: A primer,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Internet traffic matrices: A primer,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.740672Z

Source-reported events for the cited work

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Observation c9afe80d-727f-4c23-bafb-b1bf648979e7 · outbound

This paper cites Intelligent traffic matrix estimation using levenberg- marquardt artificial neural network of large scale ip network,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Intelligent traffic matrix estimation using levenberg- marquardt artificial neural network of large scale ip network,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.654284Z

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Observation 4bc63025-7324-49b5-990e-db6ffbdd9d3e · outbound

This paper cites Mining anomalies using traffic feature distributions,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Mining anomalies using traffic feature distributions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.565807Z

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Observation d94b6dbc-7742-4282-b7e7-e53b79dd41ad · outbound

This paper cites {LiveMicro}: An edge computing system for collabo- rative telepathology,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach {LiveMicro}: An edge computing system for collabo- rative telepathology,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.552847Z

Source-reported events for the cited work

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Observation 1985de92-b00c-49cb-8970-9e67b4942fe6 · outbound

This paper cites Cisco systems netflow services export version 9,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Cisco systems netflow services export version 9,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.540453Z

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Observation 56f1c217-a53c-4e21-904b-203475bd433f · outbound

This paper cites Opentm: Traffic matrix estimator for openflow networks,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Opentm: Traffic matrix estimator for openflow networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.525196Z

Source-reported events for the cited work

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Observation 359e4cf2-de29-4670-8d1f-5c197b326d7f · outbound

This paper cites Network tomography using genetic algorithms,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Network tomography using genetic algorithms,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.506415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62912c53-0d48-4963-8eb4-fe005e422f52 · outbound

This paper cites Network monitoring in software-defined networking: A review,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Network monitoring in software-defined networking: A review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.419101Z

Source-reported events for the cited work

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Observation 964a6095-d6c4-48a6-9311-47b226d9d04b · outbound

This paper cites A review of advanced algebraic approaches enabling network tomography for future network infras- tructures,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach A review of advanced algebraic approaches enabling network tomography for future network infras- tructures,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.400485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5680506f-8edd-4ef4-ba66-38928fdbc38f · outbound

This paper cites Spatio- temporal tensor completion for imputing missing in- ternet traffic data,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Spatio- temporal tensor completion for imputing missing in- ternet traffic data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.362775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd261a24-cad2-4ada-8350-2c6646ecbb18 · outbound

This paper cites Neural tensor completion for accurate network monitoring,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Neural tensor completion for accurate network monitoring,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.247206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84e6013b-ca2d-480f-81a3-bf4d06824567 · outbound

This paper cites Deep adversarial tensor completion for accurate network traffic measurement,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Deep adversarial tensor completion for accurate network traffic measurement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.229314Z

Source-reported events for the cited work

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Observation ac4b8cc8-8576-4533-bbd4-c6eb63a2d3ee · outbound

This paper cites Accurate estimation of large-scale ip traffic matrix,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Accurate estimation of large-scale ip traffic matrix,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.206044Z

Source-reported events for the cited work

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Observation 91e30792-0217-4cc3-a430-f50f10eeb9b7 · outbound

This paper cites Traffic matrix estimation: A neural network approach with extended input and expectation maximization iteration,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Traffic matrix estimation: A neural network approach with extended input and expectation maximization iteration,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.127920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd6fe983-bcaa-45c0-bef8-fe04d15baf5b · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Denoising diffusion probabilistic models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:33.766730Z

Source-reported events for the cited work

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Observation 7f1391e4-defe-40b5-94f8-2e8abff937d8 · outbound

This paper cites Deep unsupervised learning using nonequi- librium thermodynamics,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Deep unsupervised learning using nonequi- librium thermodynamics,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:33.784420Z

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Unavailable: canonical work link unavailable.

Observation 5d7a5fb4-9ada-4eda-9fd2-5dd3e71780b4 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Generative modeling by esti- mating gradients of the data distribution,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.925795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd1bd6fd-0805-4bdd-ab62-ced0acb6d09c · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:33.795473Z

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Observation 06d2c744-4fd2-4bda-90db-0e515b780582 · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Pseudoinverse-guided diffusion models for inverse problems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.910388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c739e1b1-b50f-4813-8041-a04fa328eb4f · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:33.803263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeaa9d39-f5e5-4381-9dda-aca2125b3b64 · outbound

This paper cites Opentm: traffic matrix estimator for openflow networks,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Opentm: traffic matrix estimator for openflow networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.897754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8e7e1b3-56e2-4110-b4d4-6a6e4733d12d · outbound

This paper cites A scalable and error-tolerant solution for traffic matrix as- sessment in hybrid ip/sdn networks,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach A scalable and error-tolerant solution for traffic matrix as- sessment in hybrid ip/sdn networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.883183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64bea414-3697-44f1-b4b0-f43ecd1e45fb · outbound

This paper cites Spatio-temporal compressive sensing and internet traffic matrices,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Spatio-temporal compressive sensing and internet traffic matrices,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.866351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2a3b41e-d9aa-4e2d-ba04-33c69b6f6c58 · outbound

This paper cites Spatio-temporal compressive sensing and internet traffic matrices (extended version),.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Spatio-temporal compressive sensing and internet traffic matrices (extended version),

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.699504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 235b383b-cb85-40c4-842e-af10ec5649ac · outbound

This paper cites Network tomography: Estimating source- destination traffic intensities from link data,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Network tomography: Estimating source- destination traffic intensities from link data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.618991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 492250a5-47a8-4522-8ad1-adff7bd3d35b · outbound

This paper cites Fast accurate computation of large-scale ip traffic matri- ces from link loads,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Fast accurate computation of large-scale ip traffic matri- ces from link loads,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.608125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea63275d-b4b0-4f73-b073-dd1075664fba · outbound

This paper cites Tripartite graph aided tensor completion for sparse network measurement,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Tripartite graph aided tensor completion for sparse network measurement,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.597313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d80a81e-7df5-4756-9458-1e878a35e8a9 · outbound

This paper cites Neutm: A neural network- based framework for traffic matrix prediction in sdn,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Neutm: A neural network- based framework for traffic matrix prediction in sdn,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.456022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b10029c-28f4-419f-a82d-587b5c2930a9 · outbound

This paper cites Deep convolutional lstm network-based traffic matrix prediction with partial in- formation,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Deep convolutional lstm network-based traffic matrix prediction with partial in- formation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.295617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95769364-2d0b-4db2-961c-bd0459165283 · outbound

This paper cites Ai-assisted traffic matrix prediction using ga-enabled deep ensemble learning for hybrid sdn,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Ai-assisted traffic matrix prediction using ga-enabled deep ensemble learning for hybrid sdn,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.185124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b75582cf-f5d6-43f8-be09-de8bddffec13 · outbound

This paper cites A new approach for traffic matrix estimation in high load computer networks based on graph embedding and convolutional neural network,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach A new approach for traffic matrix estimation in high load computer networks based on graph embedding and convolutional neural network,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.172099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40432055-86b1-4ed2-b2f2-f8840cf66a18 · outbound

This paper cites Completing and predicting internet traffic matrices using adversar- ial autoencoders and hidden markov models,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Completing and predicting internet traffic matrices using adversar- ial autoencoders and hidden markov models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.159154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67004fd8-31a6-4ea2-abbf-a69996c9c863 · outbound

This paper cites Future network traffic matrix synthesis and es- timation based on deep generative models,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Future network traffic matrix synthesis and es- timation based on deep generative models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.056093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1f9e528-086f-4536-8b03-9997623c41f5 · outbound

This paper cites Learning based methods for traffic matrix estimation from link measurements,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Learning based methods for traffic matrix estimation from link measurements,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:35.007300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03a4b771-bfb6-4fef-b518-fc88861d4c32 · outbound

This paper cites Traffic matrix estimation based on denoising diffusion proba- bilistic model,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Traffic matrix estimation based on denoising diffusion proba- bilistic model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.994764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b594b8f8-8568-4462-9c70-6c05bd588c79 · outbound

This paper cites A case study of the accuracy of snmp measurements,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach A case study of the accuracy of snmp measurements,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.980932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8228c02b-48c1-4da8-a844-a61a81b99cb2 · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Improving diffusion models for inverse problems using manifold constraints,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.966082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb5a1575-670d-4c61-98fc-2b0ba276e8a7 · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Denoising diffusion models for plug-and-play image restoration,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.877926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38783924-3ca8-4d83-8fa5-d07025582f9e · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Denoising Diffusion Implicit Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.102560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16901c65-fc86-4fd1-9181-3e26ecf55fa9 · outbound

This paper cites Tweedie’s formula and selection bias,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Tweedie’s formula and selection bias,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.108898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7308d36b-898f-4b3e-a41b-c607068d6c01 · outbound

This paper cites Network tomography: Estimating source- destination traffic intensities from link data,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Network tomography: Estimating source- destination traffic intensities from link data,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.814420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2867f3a-fe61-4e17-8a00-7a3095e56493 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Score-Based Generative Modeling through Stochastic Differential Equations

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.116928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce967754-b771-4092-9d8b-989371b36fd6 · outbound

This paper cites Basisdetect: A model-based network event detection framework,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Basisdetect: A model-based network event detection framework,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.802238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 594c13f0-c79f-4f51-955e-6b7f47430996 · outbound

This paper cites At- tention is all you need,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach At- tention is all you need,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.791246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9972ca05-a79f-43d5-9271-f2dcc2fc5fee · outbound

This paper cites an unresolved cited work.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:13:34.708458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cc9f6b0-d071-4831-9a8a-4a21087daa4f · outbound

This paper cites Finite mixture models,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Finite mixture models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.688535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d52e4c4-d93f-4c1d-a5b6-e0f27c0ab590 · outbound

This paper cites Abilene network topology data and traffic 18 traces,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Abilene network topology data and traffic 18 traces,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.678240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 66ae6c8e-0222-443f-a301-d644350df0de · outbound

This paper cites Providing public intradomain traffic matrices to the research community,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Providing public intradomain traffic matrices to the research community,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.653122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 215ac669-7a38-4766-908d-154d4dfd321f · outbound

This paper cites Neural tensor model for learning multi-aspect factors in recommender systems,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Neural tensor model for learning multi-aspect factors in recommender systems,

Reference 50

Resolution: verified exact; doi, observed 2026-08-12T10:13:34.398055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca26f905-9bb9-4f9d-afb7-187e75d6604d · outbound

This paper cites Neural tensor factorization for temporal interaction learning,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Neural tensor factorization for temporal interaction learning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.595995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e6fc1ff-a5e3-4b48-a9ae-fa0db543d81d · outbound

This paper cites Costco: A neural tensor completion model for sparse tensors,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Costco: A neural tensor completion model for sparse tensors,

Reference 52

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Observation 80399f41-0b77-4ec9-b2b2-dc47a4d848c5 · outbound

This paper cites Lightnestle: Quick and accurate neural sequential ten- sor completion via meta learning,.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Lightnestle: Quick and accurate neural sequential ten- sor completion via meta learning,

Reference 53

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This paper cites Available: https://www.sciencedirect.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Available: https://www.sciencedirect

Reference 2011

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Observation 0ff59cbd-f5f7-49e1-96bb-9708b24d12ee · outbound

This paper cites Available: https://api.semanticscholar.

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach Available: https://api.semanticscholar

Reference 2019

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