Paper Citation Record · LEDGER

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks

As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2412.10484.

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

pith.paper-citation-record.v1
2412.10484 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:30:26.436273Z

measured 54 of 54 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:08:09.278583Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:08:09.436136Z

Reference resolution

53 of 53 outbound references displayed

verified exact1
verified fuzzy16
unresolved35
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80cd40ff-4598-4d13-b838-b6d0a3d7f3bf · outbound

This paper cites Dewey, David Brown, William H.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Dewey, David Brown, William H

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:27.464385Z

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.

Observation 509290c1-8c43-4461-b65c-216f1bf3de4f · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:27.445466Z

Source-reported events for the cited work

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Observation f1718ea8-b942-421b-9d5a-fbda681054b3 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:27.427050Z

Source-reported events for the cited work

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Observation a18b4572-a157-4e09-9347-135b25b40994 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation e71671c4-a614-4919-be7f-ff7faa70c161 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:27.394007Z

Source-reported events for the cited work

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Observation aea69ab2-7b03-4c92-9ffa-3661745cfbf1 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:27.359738Z

Source-reported events for the cited work

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Observation 131f33df-e6e4-424a-8175-07a456ae1dd9 · outbound

This paper cites Clarotti, Limitations of minimal cut-set approach in evaluating reliability of systems with repairable components , IEEE Transactions on Reliability, vol.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Clarotti, Limitations of minimal cut-set approach in evaluating reliability of systems with repairable components , IEEE Transactions on Reliability, vol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:27.341660Z

Source-reported events for the cited work

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Observation 3e11be69-353b-4ac6-a525-d2bc3932f40f · outbound

This paper cites 266–280, 2016.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks 266–280, 2016

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:27.326125Z

Source-reported events for the cited work

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Observation ec1a12ba-bb00-40e4-bbaf-a5b7b2e3c206 · outbound

This paper cites Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment

Reference 9

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Source-reported events for the cited work

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Observation 8970c4c0-25ca-4442-b3f5-048cbb42ed10 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:27.309295Z

Source-reported events for the cited work

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Observation 8715a7f1-f7fa-43c7-9273-a61ee9756ed7 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation 76e9b12b-2a0f-44ff-b36c-1251a542461c · outbound

This paper cites Fussell, How to hand-calculate system reliability and safety charac- teristics, IEEE Transactions on Reliability, vol.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Fussell, How to hand-calculate system reliability and safety charac- teristics, IEEE Transactions on Reliability, vol

Reference 12

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Source-reported events for the cited work

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Observation 8f09e144-cbc1-4af7-a9f9-354d942b07a2 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation d5c39781-b680-4049-bc04-cf855e936aa6 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 5dd265da-f943-4ab6-80aa-7e3b6c766fdd · outbound

This paper cites 779–790, 2013.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks 779–790, 2013

Reference 15

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Observation d5aabfdc-5877-4d13-9d59-255888f47573 · outbound

This paper cites Reay and John D.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Reay and John D

Reference 16

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Source-reported events for the cited work

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Observation c3da44ce-c3a7-4e5d-805c-dce73b749ce9 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:27.180375Z

Source-reported events for the cited work

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Observation fa7db106-a377-4c01-9cd3-aa5a10b1eb81 · outbound

This paper cites Durga Rao, V.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Durga Rao, V

Reference 18

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Observation 548346e7-28c8-4c9c-968a-5b6ec6b3dab5 · outbound

This paper cites 1–6, 2024.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks 1–6, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:27.146180Z

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Observation e50b3fc3-b5c6-40d5-bdd3-7e77382d9779 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 20

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Observation 9471ad74-77b6-470b-963d-29cae421bc9d · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 21

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Observation a5e058bb-4297-4f7a-be58-490854e7cd3d · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 22

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Observation b1a8c75d-cbe7-4f4e-a024-930f004ab2f1 · outbound

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A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 23

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Observation 823378d6-ce93-48fe-a64c-da2424d041c0 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 24

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Observation 3cfb0892-f960-4363-a7b7-8b2fefcb4cec · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 25

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Observation f6fd72e3-6f0c-438d-b12e-45b0328f35d4 · outbound

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A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 26

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Observation 80fb2d1a-f52c-4cc8-b906-b3402ed67016 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 27

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Observation 7d83d006-0713-41d9-a79b-008897c6715a · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 28

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Source-reported events for the cited work

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Observation 3aaf7761-89fa-44e2-8091-aca96174d7f9 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 576dd225-aad0-40e8-b54b-531f3276752b · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 30

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Observation 80af559d-8d33-4add-9d0e-500885d6cb20 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation 75ec490e-73fb-4a17-89e6-70f0d9614020 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 32

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Source-reported events for the cited work

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Observation ea807377-b4ff-4388-a199-83af54f4d921 · outbound

This paper cites Saad Jameel, and Abid Haleem, Knowledge man- agement in project management: An ISM approach , LAP LAMBERT Academic Publishing, 2013.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Saad Jameel, and Abid Haleem, Knowledge man- agement in project management: An ISM approach , LAP LAMBERT Academic Publishing, 2013

Reference 33

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Observation 7e55096d-b5e7-40f7-9bcd-1608632c4f40 · outbound

This paper cites an unresolved cited work.

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Reference 34

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Source-reported events for the cited work

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Observation dbc64e39-2681-424c-bdc8-a64199961c8a · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation f557d70a-f9df-4adc-9b52-17c3604eeeb2 · outbound

This paper cites Vinodh, Development of a structural model based on ISM for analysis of barriers to integration of lean with Industry 4.0 , Emerald Publishing Limited, The TQM Journal, vol.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Vinodh, Development of a structural model based on ISM for analysis of barriers to integration of lean with Industry 4.0 , Emerald Publishing Limited, The TQM Journal, vol

Reference 36

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Observation 1356ae67-06ba-448f-86ed-5564dc00e694 · outbound

This paper cites Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification

Reference 37

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Source-reported events for the cited work

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Observation 31aae6de-03ec-4e4a-beaa-e202fcea2406 · outbound

This paper cites 841–851, 2020.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks 841–851, 2020

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:26.807588Z

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.

Observation 859fd0db-1969-4c93-b2cb-62337cf2baab · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.790921Z

Source-reported events for the cited work

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Observation 20602c37-fe02-4572-a845-6fb1b0d667d5 · outbound

This paper cites 388–396, 2019.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks 388–396, 2019

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:26.772829Z

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.

Observation 7791e2cc-10cc-46d0-bba1-d14d0c1065f0 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.750098Z

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.

Observation 84c88b6d-f7ff-4192-a2a9-18f3ffbec795 · outbound

This paper cites Tsitsiklis, Introduction to Probability , Athena Scientific, vol.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Tsitsiklis, Introduction to Probability , Athena Scientific, vol

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:26.731498Z

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.

Observation ee6c2dc7-22e9-4e8f-b82a-7bf03d7eef30 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation ef324b78-516f-42f5-98b6-d53368b96f83 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.696260Z

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.

Observation c76b07e4-6d8a-48ab-ae72-404b2c22ff43 · outbound

This paper cites Kullstam, Availability, MTBF and MTTR for repairable M out of N system , IEEE, IEEE Transactions on Reliability, vol.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Kullstam, Availability, MTBF and MTTR for repairable M out of N system , IEEE, IEEE Transactions on Reliability, vol

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:26.677004Z

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.

Observation 4d76de83-2385-43e2-9d77-95697fc448af · outbound

This paper cites Spencer, Lisa A.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Spencer, Lisa A

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:26.659457Z

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.

Observation 56222034-278f-4799-bd36-786727f0339e · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.641255Z

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.

Observation a887ac89-1be9-4a8e-8bd5-e19b892fa761 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.621869Z

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.

Observation ff4ed1a1-6f82-4a7b-a7bc-3cbc9c2ff101 · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.604409Z

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.

Observation 3c6441d4-1073-44eb-928e-3e1ccb5e3eb1 · outbound

This paper cites Diagnosis Please.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Diagnosis Please

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:30:26.580083Z

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.

Observation e9c233f4-f7ba-436c-b8d3-e28a7570199d · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.559162Z

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.

Observation ad71163f-903f-4066-b851-5522997bfd1b · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:30:26.540685Z

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.

Observation 3900313a-ee20-451e-a02a-dead1c0c56ae · outbound

This paper cites an unresolved cited work.

A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks Unresolved cited work

Reference 2020

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T16:30:27.377467Z

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

Observation 8a9b5d9c-d243-4ebe-9f0a-6729e148d69f · inbound

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs cites this paper.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:08:09.442296Z

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.