Paper Citation Record · LEDGER

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.05957.

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

pith.paper-citation-record.v1
2412.05957 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:12:25.289469Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56010b01-1a60-4038-bc64-e59105be3344 · outbound

This paper cites an unresolved cited work.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:12:27.128405Z

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis lower left

Reference 2

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Observation 15f28ed0-acb6-44d3-807d-d03cc2cdc7f9 · outbound

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis upper left

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:12:27.049395Z

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Observation b49b651b-6e07-4533-9526-d859d1b73399 · outbound

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis dead trees

Reference 4

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Unresolved cited work

Reference 5

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Observation 5f259059-68d1-4ae1-86fb-ff4069acfea2 · outbound

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Unresolved cited work

Reference 6

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Observation a0b3af60-0967-44e3-a338-4e25e9201194 · outbound

This paper cites Structural vulnerability of the North American power grid,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Structural vulnerability of the North American power grid,

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T20:12:25.446895Z

Source-reported events for the cited work

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Observation c1e18bdb-6ae8-4edf-8697-af1de2d1752e · outbound

This paper cites Topological vulnerability of the European power grid under errors and Submitted to Applied Energy 14 attacks[J].

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Topological vulnerability of the European power grid under errors and Submitted to Applied Energy 14 attacks[J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:12:26.964115Z

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Observation 20f675c1-ab2b-4f08-a003-f8db5cf1c3b6 · outbound

This paper cites Reliability Evaluation of Park-level Electricity-Hydrogen Systems using Explainable Graph Neural Network,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Reliability Evaluation of Park-level Electricity-Hydrogen Systems using Explainable Graph Neural Network,

Reference 9

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Source-reported events for the cited work

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Observation cc13249f-ede9-400e-b7e5-c5e5d4cce958 · outbound

This paper cites Topological analysis in bulk power system reliability evaluation,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Topological analysis in bulk power system reliability evaluation,

Reference 10

Resolution: verified exact; doi, observed 2026-08-11T20:12:25.429455Z

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Observation f85a627d-9d76-479d-a3b6-3bb56b77dc67 · outbound

This paper cites Towards Decentralization: A Topological Investigation of the Medium and Low Voltage Grids,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Towards Decentralization: A Topological Investigation of the Medium and Low Voltage Grids,

Reference 11

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Source-reported events for the cited work

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Observation 92ba6303-caa0-4429-8e67-198fde311029 · outbound

This paper cites Efficient Topology Design Algorithms for Power Grid Stability,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Efficient Topology Design Algorithms for Power Grid Stability,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T20:12:25.151839Z

Source-reported events for the cited work

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Observation dde28c7a-6b1f-4082-9dc2-69c509a70810 · outbound

This paper cites Structural vulnerability of power systems: A topological approach,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Structural vulnerability of power systems: A topological approach,

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T20:12:25.414645Z

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Observation ef135943-9cd4-48e7-ad41-f96581862c14 · outbound

This paper cites Extended Topological Metrics for the Analysis of Power Grid Vulnerability,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Extended Topological Metrics for the Analysis of Power Grid Vulnerability,

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T20:12:26.476248Z

Source-reported events for the cited work

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Observation 481c9f62-002c-4a8d-b1d4-676ac8048d3b · outbound

This paper cites Higher -order organization of complex networks,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Higher -order organization of complex networks,

Reference 15

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Source-reported events for the cited work

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Observation 3426fb71-4bdb-4660-b010-6b39b4bee199 · outbound

This paper cites Motif-based analysis of power grid robustness under attacks,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Motif-based analysis of power grid robustness under attacks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T20:12:25.170385Z

Source-reported events for the cited work

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Observation f7732562-60e7-4ef8-b426-0ac0383a9705 · outbound

This paper cites Assessing European power grid reliability by means of topological measures,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Assessing European power grid reliability by means of topological measures,

Reference 17

Resolution: verified exact; doi, observed 2026-08-11T20:12:25.388726Z

Source-reported events for the cited work

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Observation 60093a97-4ddc-4cee-90d4-89f2fbecc10c · outbound

This paper cites How dead ends undermine power grid stability,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis How dead ends undermine power grid stability,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T20:12:25.179402Z

Source-reported events for the cited work

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Observation 0ab21e70-1719-4f18-adea-29cd5dc7dd2e · outbound

This paper cites Detours around basin stability in power networks,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Detours around basin stability in power networks,

Reference 19

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Source-reported events for the cited work

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Observation 6e941d92-4968-429e-9906-5f556888e337 · outbound

This paper cites Motif-Based Reliability Analysis for Cyber-Physical Power Systems,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Motif-Based Reliability Analysis for Cyber-Physical Power Systems,

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-11T20:12:26.270077Z

Source-reported events for the cited work

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Observation 962169fa-9578-4f04-afbe-5904e34fd92d · outbound

This paper cites The Most Frequent N -k Line Outages Occur in Motifs That Can Improve Contingency Selection,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis The Most Frequent N -k Line Outages Occur in Motifs That Can Improve Contingency Selection,

Reference 21

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Observation d6d9a01a-8d79-4a63-9579-abb3d5e513af · outbound

This paper cites A combinatorial approach to graphlet counting,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis A combinatorial approach to graphlet counting,

Reference 22

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Observation 92b258d6-c868-40e9-8d85-587a73189836 · outbound

This paper cites A Survey on Subgraph Counting: Concepts, Algorithms and Applications to Network Motifs and Graphlets,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis A Survey on Subgraph Counting: Concepts, Algorithms and Applications to Network Motifs and Graphlets,

Reference 23

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Source-reported events for the cited work

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Observation 4f47fece-6ad2-41f7-909f-bb7b8fd2c04a · outbound

This paper cites SimGNN: A Neural Network Approach to Fast Graph Similarity Computation,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis SimGNN: A Neural Network Approach to Fast Graph Similarity Computation,

Reference 24

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Source-reported events for the cited work

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Neural Subgraph Isomorphism Counting,

Reference 25

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Observation 76cd900b-8774-4af8-a0be-0d0ae8c297bf · outbound

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Can graph neural networks count substructures?,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:12:26.914964Z

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Neural Subgraph Matching

Reference 27

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Source-reported events for the cited work

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Representation Learning for Frequent Subgraph Mining

Reference 28

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Observation 6e7bc321-df7c-44f0-8a09-da8b9de3b3af · outbound

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Network Motifs: Simple Building Blocks of Complex Networks,

Reference 29

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Order-Embeddings of Images and Language

Reference 30

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Observation 42892aab-6ce7-42b4-91cb-54c086d0c3da · outbound

This paper cites On the bias of BFS (Breadth First Search),.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis On the bias of BFS (Breadth First Search),

Reference 31

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Observation 3cb9ceac-7f0c-43b5-91e3-878eaaffd55d · outbound

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Semi-Supervised Classification with Graph Convolutional Networks

Reference 32

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Observation 5f125f2e-8cfe-43f3-8ede-63e13fec2b80 · outbound

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A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Inductive representation learning on large graphs,

Reference 33

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Observation 801a3539-b220-4c75-96a0-54d196debd50 · outbound

This paper cites Radial distribution test feeders,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Radial distribution test feeders,

Reference 34

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Observation e22426ae-3a8b-43ea-8668-14bafe4e57e4 · outbound

This paper cites MATPOWER: Steady -State Operations, Planning, and Analysis Tools for Power Systems Research and Education,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis MATPOWER: Steady -State Operations, Planning, and Analysis Tools for Power Systems Research and Education,

Reference 35

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This paper cites Available online at:https://sourceforge.net/p/ electricdss/code/HEAD/tree/trunk/Distrib/ EPRITestCircuits/.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Available online at:https://sourceforge.net/p/ electricdss/code/HEAD/tree/trunk/Distrib/ EPRITestCircuits/

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:12:26.837547Z

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Observation 69e9fff6-148b-44ae-916d-2c8b0ed7f153 · outbound

This paper cites AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T20:12:25.266602Z

Source-reported events for the cited work

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Observation 40a564d9-1379-4e29-99f9-b92000e906e7 · outbound

This paper cites Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T20:12:25.271054Z

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Observation 3bafbf19-7d39-40cc-89c3-6243b5d36ff6 · outbound

This paper cites Grid Structural Characteristics as Validation Criteria for Synthetic Networks,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis Grid Structural Characteristics as Validation Criteria for Synthetic Networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:12:25.275204Z

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Observation 51bfe5ee-d5b2-45a7-950d-a9f0d8ceee4e · outbound

This paper cites The neutral -to-earth voltage (NEV) test case and distribution system analysis,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis The neutral -to-earth voltage (NEV) test case and distribution system analysis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:12:26.812963Z

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Observation c05be14e-bb69-44b4-bcc8-257e60c751b8 · outbound

This paper cites IEEE 342-node low voltage networked test system,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis IEEE 342-node low voltage networked test system,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:12:26.791190Z

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Observation fae0b805-eff0-40f4-9711-af40a6ca7c6b · outbound

This paper cites An improved algorithm for matching large graphs,.

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis An improved algorithm for matching large graphs,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:12:26.770491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

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