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Paper Citation Record · LEDGER

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach

As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:1908.09471.

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

pith.paper-citation-record.v1
1908.09471 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:14:30.783835Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fbde418-9240-41a2-98d2-610401d17658 · outbound

This paper cites Barab ´asi, Network Science.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Barab ´asi, Network Science

Reference 1

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Observation 570a3c23-5ff1-4f19-9f81-f596092e60f3 · outbound

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Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Unresolved cited work

Reference 2

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Observation 19706c1e-6cf7-4ecf-a792-e5486da0d6ba · outbound

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Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Unresolved cited work

Reference 3

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Observation f5e3ca59-1ddf-476b-8357-8a2a1d26633b · outbound

This paper cites Controllability of complex networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Controllability of complex networks,

Reference 4

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Observation 503df155-ed3b-442e-b70c-2d0797e2b87b · outbound

This paper cites Exact controllability of complex networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Exact controllability of complex networks,

Reference 5

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Observation 2829c0ca-052a-45b1-be44-780a001cab3d · outbound

This paper cites Effect of correlations on network controllability,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Effect of correlations on network controllability,

Reference 6

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Observation d3427995-37f3-471f-8afb-d5e531b01d1b · outbound

This paper cites Network controllability is determined by the density of low in-degree and out-degree nodes,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Network controllability is determined by the density of low in-degree and out-degree nodes,

Reference 7

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Observation a0075fc9-211a-456e-a4a1-a945ae2fc187 · outbound

This paper cites Networkcontrology,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Networkcontrology,

Reference 8

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Observation c2996cb1-f04a-4d50-8472-ca386c18c3af · outbound

This paper cites Controllability of networked mimo systems,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Controllability of networked mimo systems,

Reference 9

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Observation a2d64764-d6c1-4a16-927a-7c6220c16197 · outbound

This paper cites Control principles of complex systems,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Control principles of complex systems,

Reference 10

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Observation e0cdcb4b-8b3c-404c-8356-4893deec0c43 · outbound

This paper cites Controllability of networked higher- dimensional systems with one-dimensional communication channels,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Controllability of networked higher- dimensional systems with one-dimensional communication channels,

Reference 11

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Observation cf3ee6b1-a8b4-40ca-9348-d30f15dd5a08 · outbound

This paper cites Physical con- trollability of complex networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Physical con- trollability of complex networks,

Reference 12

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Observation d308fe57-6c3c-4a16-91c0-aaa3edbfc6d6 · outbound

This paper cites Controllability analysis for a networked dynamic system with autonomous subsystems,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Controllability analysis for a networked dynamic system with autonomous subsystems,

Reference 13

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Observation b1ad8abc-ab24-4608-b706-38c1fe848180 · outbound

This paper cites Benchmarking measures of network controllability on canonical graph models,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Benchmarking measures of network controllability on canonical graph models,

Reference 14

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Observation 35117042-faf5-4d2f-8d09-6515f9e904a2 · outbound

This paper cites Further on the controllability of networked MIMO LTI systems,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Further on the controllability of networked MIMO LTI systems,

Reference 15

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Observation 29b1bc70-d983-435c-b419-79d33401db40 · outbound

This paper cites Advances in network controllability,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Advances in network controllability,

Reference 16

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Observation 6dc82ac5-a3f7-4f69-950d-c7caa2ffbb39 · outbound

This paper cites Coordination and control of complex network systems with switching topologies: A survey,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Coordination and control of complex network systems with switching topologies: A survey,

Reference 17

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Observation 5db7446e-6bd0-4fc9-beea-22d29da77f07 · outbound

This paper cites Attack vulnerability of complex networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Attack vulnerability of complex networks,

Reference 18

Resolution
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Observation 4e9d76da-16ad-446a-a640-fdbaf66e9e60 · outbound

This paper cites Optimization of robustness and connectivity in complex networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Optimization of robustness and connectivity in complex networks,

Reference 19

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Observation 7befa6be-7c79-4a12-b0ed-ea2bd96b66d0 · outbound

This paper cites Mitigation of malicious attacks on networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Mitigation of malicious attacks on networks,

Reference 20

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This paper cites Control centrality and hierarchical structure in complex networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Control centrality and hierarchical structure in complex networks,

Reference 21

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Observation e32381d0-42da-4780-bd43-a696e7699fc4 · outbound

This paper cites The extreme vulnerability of interdependent spatially embedded networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach The extreme vulnerability of interdependent spatially embedded networks,

Reference 22

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Observation 53200b87-38bd-49e3-b49d-b9925758537c · outbound

This paper cites Optimization of ro- bustness of network controllability against malicious attacks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Optimization of ro- bustness of network controllability against malicious attacks,

Reference 23

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Observation bb0e9a97-defe-4491-b37f-512a3123813d · outbound

This paper cites Robustness analysis of network controllability,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Robustness analysis of network controllability,

Reference 24

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Observation b1db777a-f070-43b1-b0a7-998b5fd9d36a · outbound

This paper cites Robustness of controllability for networks based on edge-attack,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Robustness of controllability for networks based on edge-attack,

Reference 25

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This paper cites Catas- trophic cascade of failures in interdependent networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Catas- trophic cascade of failures in interdependent networks,

Reference 26

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Observation 89ac94ec-e473-42cd-9387-9dbfcf0ac2fc · outbound

This paper cites Toward stronger robustness of network controllability: A snapback network model,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Toward stronger robustness of network controllability: A snapback network model,

Reference 27

Resolution
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Observation 674d73a3-aee5-496a-ba78-f9838264d3b9 · outbound

This paper cites Improving controllability of complex networks by rewiring links regularly,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Improving controllability of complex networks by rewiring links regularly,

Reference 28

Resolution
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Observation 3f89c80a-2b72-45f2-9299-790499cace03 · outbound

This paper cites Enhancing complex network con- trollability by rewiring links,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Enhancing complex network con- trollability by rewiring links,

Reference 29

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Observation 090c252c-0e10-495f-9ed5-cdb095c7f874 · outbound

This paper cites A comparative study on controllability robustness of complex networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach A comparative study on controllability robustness of complex networks,

Reference 30

Resolution
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Observation 3ea49c95-3084-4605-9298-5b521cf4a19e · outbound

This paper cites Enhancing controllability robustness of q-snapback networks through redirecting edges,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Enhancing controllability robustness of q-snapback networks through redirecting edges,

Reference 31

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Observation 14c3df56-0ea6-4487-ba62-19ec55e51107 · outbound

This paper cites Deep learning in neural networks: An overview,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Deep learning in neural networks: An overview,

Reference 32

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Observation a831e6ef-11cd-4ce9-952e-ebac19ad4d77 · outbound

This paper cites End-to-end text recog- nition with convolutional neural networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach End-to-end text recog- nition with convolutional neural networks,

Reference 33

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Source-reported events for the cited work

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Observation c13df00a-9e73-4e8e-bbb7-f48f5d6b1481 · outbound

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Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Recurrent convolutional neural networks for text classification,

Reference 34

Resolution
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Source-reported events for the cited work

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Observation b465d5f3-56e8-4da4-95b0-a9e397b99a0a · outbound

This paper cites Character-level convolutional networks for text classification,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Character-level convolutional networks for text classification,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 385db4f4-28fd-48a3-ab67-ac8ddcb03e78 · outbound

This paper cites Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.195896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c14740fc-cc07-4a18-a4b8-9ea45acb81a2 · outbound

This paper cites Convolutional neural networks for speech recognition,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Convolutional neural networks for speech recognition,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.184369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.714037Z digest=sha256:583e445637cfe0793f15d15d7e393b2279ebf83c70b59e03e04a96dd104bee36

Observation ba9efe25-856e-4c5b-a70a-95e70596e897 · outbound

This paper cites ABCNN: Attention-based convolutional neural network for modeling sentence pairs,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach ABCNN: Attention-based convolutional neural network for modeling sentence pairs,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.172417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.717914Z digest=sha256:666460c08afee3bb241e974291e231c34ab1e06afc11dbc12409f650faeeb4d0

Observation 4e265fa6-a887-4741-8488-a8f5dab45ebe · outbound

This paper cites Convolutional neural tensor network architec- ture for community-based question answering,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Convolutional neural tensor network architec- ture for community-based question answering,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.157840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.721241Z digest=sha256:80f3c9a2fd13049adbc8f18c2b3e7357a16a41b1fd8d9fcafaca7abe4c1a734f

Observation 84d36852-edb7-47a7-9cdf-08b9ccbe9473 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Imagenet classification with deep convolutional neural networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.144323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.724952Z digest=sha256:b69fdc773c112118b36a0896c9d7dee869f55a9485c8254123eb38cbb9df15c7

Observation 2ae63622-5a5d-4798-aee9-8948d113cd70 · outbound

This paper cites Large-scale video classification with convolutional neural networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Large-scale video classification with convolutional neural networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.130694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3abed02e-a2e7-46fe-957a-76677c9523b0 · outbound

This paper cites A convolutional neural network cascade for face detection,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach A convolutional neural network cascade for face detection,

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.732923Z digest=sha256:eb31f0c68417a043e199019273734706453e11ee497cee20fac58335b84033ff

Observation 574f869d-a825-4e7c-9fae-40210074c833 · outbound

This paper cites An improved deep learning architecture for person re-identification,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach An improved deep learning architecture for person re-identification,

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b270ff9b-64fa-4a2b-baf5-4b13de39e5ae · outbound

This paper cites Point to set similarity based deep feature learning for person re-identification,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Point to set similarity based deep feature learning for person re-identification,

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cafa5f72-0e00-4da9-8e8b-cedc79c9f2d8 · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach U-Net: Convolutional net- works for biomedical image segmentation,

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.743592Z digest=sha256:b91611ebe97e78fef335aca4d03b5321c13dc58b0f16b4b68ebef659e503ce9d

Observation 339d8815-7576-49ae-9ad4-89c87f610bc0 · outbound

This paper cites Real-time patient-specific ecg classification by 1-d convolutional neural networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Real-time patient-specific ecg classification by 1-d convolutional neural networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.069513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.747038Z digest=sha256:ed9bcaf4811ee3ece1cb7ae3a39aa3c9234112f115d53ff0d10e562e224b3cb1

Observation a3cea93c-1aa8-479e-9370-0fa8ff75960e · outbound

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

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T11:14:30.750278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:14:30.750278Z digest=sha256:e453a7839aa8f55d7a3ad390466cf20918ff1dc00388ca18c55328156c5e4778

Observation 2e7405d2-9b7b-4fa6-b469-3544641d0aae · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Efficient Estimation of Word Representations in Vector Space

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T11:14:30.753902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 991c3305-9d76-4044-88b7-6005da520b37 · outbound

This paper cites Network control principles predict neuron function in the caenorhabditis elegans connectome,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Network control principles predict neuron function in the caenorhabditis elegans connectome,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.057560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.757205Z digest=sha256:2edafadfc528094061922611b7660c9f820d109f3701928e024b43ff00695eaa

Observation 966f8fa4-a0b1-4173-9c98-86fb4aabf0b6 · outbound

This paper cites Deep sparse rectifier neural networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Deep sparse rectifier neural networks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.044992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 345a58bf-c502-4cf1-95da-d89e00989cd6 · outbound

This paper cites On the strength of connectedness of a random graph,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach On the strength of connectedness of a random graph,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.032180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 113d3176-a611-4f86-935c-826bd8050cb4 · outbound

This paper cites Universal behavior of load distri- bution in scale-free networks,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Universal behavior of load distri- bution in scale-free networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.019614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 639c4054-58f0-482d-ac7c-d9a3e5194586 · outbound

This paper cites Effects of the network structural properties on its con- trollability,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Effects of the network structural properties on its con- trollability,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:31.007718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.770301Z digest=sha256:418ee1733774816d6035b1ee35e61325a5929f92dbc4bbe752f21e1964ea8cae

Observation 964e7e38-f8f2-4043-bbcf-3687d8984d88 · outbound

This paper cites Renormalization group analysis of the small-world network model,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Renormalization group analysis of the small-world network model,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:30.996210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.773578Z digest=sha256:81ff114d473eff2a558ca6f9bda06b2c8a5cede24714c83b63af5f759b4ac985

Observation 255ac2bc-36cb-4e66-89a1-441dccc378bf · outbound

This paper cites Learning convolutional neural networks for graphs,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Learning convolutional neural networks for graphs,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:14:30.984188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T11:14:30.776687Z digest=sha256:7af90467d60b3331a3c2e390ec07bb787fdf11ad99888491c17f626c3a45fa08

Observation 470928cc-0f55-46df-9e56-8294d8b85a79 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach Adam: A Method for Stochastic Optimization

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-14T11:14:30.780074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:14:30.780074Z digest=sha256:5f6a0a34d084eeb280c857edb08f3a8d50308d3da5571e6a410e8127639d81cb

Observation 0b5a020f-cc61-488d-8a6e-ca972f824631 · outbound

This paper cites A survey on transfer learning,.

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach A survey on transfer learning,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T11:14:30.783835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:14:30.783835Z digest=sha256:8687d8a16ab994d338222efddebf06611706e32f83da425cffa5619ab0166746

Pith citing papers

No inbound Pith citation observations are available.