Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:30:26.436273Z
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 18 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:08:09.278583Z
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 2026-08-17T06:30:58.91139+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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.410587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3e11be69-353b-4ac6-a525-d2bc3932f40f · outbound
This paper cites 266–280, 2016.
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:27.326125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T16:30:26.517095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.291456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:27.273540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.255547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.236148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5dd265da-f943-4ab6-80aa-7e3b6c766fdd · outbound
This paper cites 779–790, 2013.
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:27.217998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:27.200589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fa7db106-a377-4c01-9cd3-aa5a10b1eb81 · outbound
This paper cites Durga Rao, V.
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:27.162764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 548346e7-28c8-4c9c-968a-5b6ec6b3dab5 · outbound
This paper cites 1–6, 2024.
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:27.146180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.126215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.105542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.089602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b1a8c75d-cbe7-4f4e-a024-930f004ab2f1 · 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 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.069722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.052319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.036769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6fd72e3-6f0c-438d-b12e-45b0328f35d4 · 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 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:27.016773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.994645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.975220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.958703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.939726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.920229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.902838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:26.884883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7e55096d-b5e7-40f7-9bcd-1608632c4f40 · 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 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.864673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.848097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:30:26.829066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:30:26.341114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31aae6de-03ec-4e4a-beaa-e202fcea2406 · outbound
This paper cites 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 2026-08-17T06:30:58.91139+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
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 20602c37-fe02-4572-a845-6fb1b0d667d5 · outbound
This paper cites 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T16:30:26.713516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.