Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:57:07.147733Z
Paper Citation Record · LEDGER
A novel stratified sampler with unbalanced refinement for network reliability assessment
As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.01044.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
56 of 56 outbound references displayed
- verified exact1
- verified fuzzy53
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cc42f10f-85d7-4f95-a279-c9b8fece7158 · outbound
This paper cites Li and W.
A novel stratified sampler with unbalanced refinement for network reliability assessment Li and W
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:11.775375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 355aa6a0-99a6-4ec3-a20c-e43e501bac77 · outbound
This paper cites Billinton and W.
A novel stratified sampler with unbalanced refinement for network reliability assessment Billinton and W
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:11.684126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3d9f5b0f-ae58-4dd8-9ed1-f706a308b1e7 · outbound
This paper cites Computing network reliability in time polynomial in the number of cuts,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Computing network reliability in time polynomial in the number of cuts,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:11.593106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8c4664b4-4059-446f-bd46-fe95c2ff4a6e · outbound
This paper cites Computational complexity of network reliability analysis: An overview,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Computational complexity of network reliability analysis: An overview,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:11.457646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e9cb3640-dc53-4bc9-8b3c-baf37cd4651e · outbound
This paper cites Reliability evaluation of a limited- flow network in terms of minimal cutsets,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Reliability evaluation of a limited- flow network in terms of minimal cutsets,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:11.333512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 581584cc-d75e-4ecb-9386-837dfcfcf56e · outbound
This paper cites An efficient method for reliability evaluation of multistate networks given all minimal path vectors,.
A novel stratified sampler with unbalanced refinement for network reliability assessment An efficient method for reliability evaluation of multistate networks given all minimal path vectors,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:11.124447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f2b8f4ec-d3f6-4fb5-9b2c-152ed3408500 · outbound
This paper cites Network reliability: Heading out on the highway,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Network reliability: Heading out on the highway,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:10.918016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2f099f16-d865-402d-8034-635d1f1a8ee0 · outbound
This paper cites Computational investigations of all-terminal network reliability via BDDs,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Computational investigations of all-terminal network reliability via BDDs,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:10.742139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ed6a75c1-2ea4-40f5-a602-d6a8adb9e53b · outbound
This paper cites K-terminal network reliability measures with binary decision diagrams,.
A novel stratified sampler with unbalanced refinement for network reliability assessment K-terminal network reliability measures with binary decision diagrams,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:10.577000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation dc624ae0-c821-41d7-bf44-e66fca48bbc7 · outbound
This paper cites Generalised importance mea- sures for multi-state elements based on performance level restrictions,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Generalised importance mea- sures for multi-state elements based on performance level restrictions,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:10.430796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fde60a02-75c5-4065-92f8-421147faf6e7 · outbound
This paper cites A multi-state model for the reliability assessment of a distributed generation system via universal generating function,.
A novel stratified sampler with unbalanced refinement for network reliability assessment A multi-state model for the reliability assessment of a distributed generation system via universal generating function,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:10.249872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 54557d3d-f101-419e-9057-9a74cda78e12 · outbound
This paper cites System reliability and sensitivity under statis- tical dependence by matrix-based system reliability method,.
A novel stratified sampler with unbalanced refinement for network reliability assessment System reliability and sensitivity under statis- tical dependence by matrix-based system reliability method,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:10.085020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c29aba00-0bf4-42c1-997d-b197ce122dc7 · outbound
This paper cites A recursive decomposition algorithm for network seis- mic reliability evaluation,.
A novel stratified sampler with unbalanced refinement for network reliability assessment A recursive decomposition algorithm for network seis- mic reliability evaluation,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:09.901202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 59dfde82-0ab1-4c84-98ef-0f8bf3881f1b · outbound
This paper cites Efficient risk assessment of lifeline networks under spatially correlated ground motions using selective recursive de- composition algorithm,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Efficient risk assessment of lifeline networks under spatially correlated ground motions using selective recursive de- composition algorithm,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:09.738044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 26c58c74-aae4-4688-af6a-0d5251882816 · outbound
This paper cites Decompo- sition algorithms for system reliability estimation with applications to interdependent lifeline networks,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Decompo- sition algorithms for system reliability estimation with applications to interdependent lifeline networks,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:09.564689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3593a64d-b66b-41ef-9f1e-1b32de8115db · outbound
This paper cites Branch-and-bound algorithm for efficient reliability analysis of general coherent systems.
A novel stratified sampler with unbalanced refinement for network reliability assessment Branch-and-bound algorithm for efficient reliability analysis of general coherent systems
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:57:07.205816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f4f32ced-e155-42ed-9c01-862ba2b76ebb · outbound
This paper cites Reliability analysis of discrete multi-state sys- tems by means of subset simulation,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Reliability analysis of discrete multi-state sys- tems by means of subset simulation,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:09.391263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 031ba293-a774-4753-bb0f-acde359cd9f1 · outbound
This paper cites General network reliability problem and its efficient solution by subset simulation,.
A novel stratified sampler with unbalanced refinement for network reliability assessment General network reliability problem and its efficient solution by subset simulation,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:09.222351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6d68a958-61f1-4568-b375-2b2c5eab086b · outbound
This paper cites A stochastic framework for reliability and sensitivity analysis of large scale water distribution networks,.
A novel stratified sampler with unbalanced refinement for network reliability assessment A stochastic framework for reliability and sensitivity analysis of large scale water distribution networks,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:09.062855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation db9e27eb-482c-43fc-8459-ac30c4332cff · outbound
This paper cites An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states,.
A novel stratified sampler with unbalanced refinement for network reliability assessment An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:08.833303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d06b4161-8a02-4126-b011-b7ecec2e5aca · outbound
This paper cites The cross-entropy method for network reliability estimation,.
A novel stratified sampler with unbalanced refinement for network reliability assessment The cross-entropy method for network reliability estimation,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:08.651766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d4302a77-df74-477f-86b5-09e4f5750d69 · outbound
This paper cites Bayesian improved cross en- tropy method for network reliability assessment,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Bayesian improved cross en- tropy method for network reliability assessment,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:08.479951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6e508ff1-20fa-4811-a732-9a1b0b4dfba8 · outbound
This paper cites Bayesian improved cross entropy method with categorical mix- ture models,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Bayesian improved cross entropy method with categorical mix- ture models,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:08.340883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 10f7ed0c-6b89-4779-8542-1fc1762d14d5 · outbound
This paper cites Network reliability analysis: Part 1,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Network reliability analysis: Part 1,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:08.234956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation da18513c-01ec-4886-a6c4-5108f687093e · outbound
This paper cites Adaptive monte carlo methods for estimating rare events in power grids,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Adaptive monte carlo methods for estimating rare events in power grids,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:08.074318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 11fe68db-69f1-4b1c-85c3-41898eaa69a5 · outbound
This paper cites Counting-based reliability estimation for power-transmission grids,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Counting-based reliability estimation for power-transmission grids,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.924131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 673e8c2c-7f01-4cb0-9f23-fefc62380cb0 · outbound
This paper cites Estimation of network reliability using graph evolution models,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Estimation of network reliability using graph evolution models,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.818860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 52573ca2-4818-4094-be82-6400854eab39 · outbound
This paper cites Reliability estimation for stochastic flow networks with dependent arcs,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Reliability estimation for stochastic flow networks with dependent arcs,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.787470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 541e7574-deb6-4bdc-98bf-093130d0e108 · outbound
This paper cites A recursive variance-reduction algo- rithm for estimating communication-network reliability,.
A novel stratified sampler with unbalanced refinement for network reliability assessment A recursive variance-reduction algo- rithm for estimating communication-network reliability,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.758988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 52c8c185-2bf4-4eec-ba76-0b5db9775b18 · outbound
This paper cites Adaptive network reliability analysis: Methodology and applications to power grid,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Adaptive network reliability analysis: Methodology and applications to power grid,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.731849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ba8252df-99b3-4d9b-a502-8a0fcb393566 · outbound
This paper cites Sampling and active learning methods for network reliability estimation using K- terminal spanning tree,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Sampling and active learning methods for network reliability estimation using K- terminal spanning tree,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.704448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0cfb1773-9ddb-4de3-99c3-dd4ed561f34d · outbound
This paper cites Survival signature for reliability quantification of large systems and networks,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Survival signature for reliability quantification of large systems and networks,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.671878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b7c5fa11-f87d-4bda-98a9-a895a91d4917 · outbound
This paper cites Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.643930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8c97e675-c1e2-42dc-8c5f-eb67bda2e637 · outbound
This paper cites Refinement strategies for stratified sampling methods,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Refinement strategies for stratified sampling methods,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.617982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation de9d415d-9338-4a20-922e-8d6442bcecb5 · outbound
This paper cites Refined strat- ified sampling for efficient Monte Carlo based uncertainty quantifica- tion,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Refined strat- ified sampling for efficient Monte Carlo based uncertainty quantifica- tion,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.593130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ed65040d-2ea2-4ae5-9f75-4a1f6f770e06 · outbound
This paper cites an unresolved cited work.
A novel stratified sampler with unbalanced refinement for network reliability assessment Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:57:07.571742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 683cff17-d7a8-4890-a268-a007eb6c6f4e · outbound
This paper cites Adaptive stratified sampling for structural re- liability analysis,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Adaptive stratified sampling for structural re- liability analysis,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.552056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation dec84f50-465e-4ce2-9d03-071220ccf97b · outbound
This paper cites On adaptive stratifi- cation,.
A novel stratified sampler with unbalanced refinement for network reliability assessment On adaptive stratifi- cation,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.534212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a9968aec-6080-48f3-9efd-36e6af2760c5 · outbound
This paper cites Adaptive stratified sampling for non- smooth problems,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Adaptive stratified sampling for non- smooth problems,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.517861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4e602cfa-78b0-479e-a562-b341f4c7ac5b · outbound
This paper cites Monte Carlo estimation of the maximal flow distribu- tion with discrete stochastic arc capacity levels,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Monte Carlo estimation of the maximal flow distribu- tion with discrete stochastic arc capacity levels,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.501596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6bccbf7f-1d27-41c1-a5fc-eba9e04645f4 · outbound
This paper cites Network reliability es- timation using the tree cut and merge algorithm with importance sam- pling,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Network reliability es- timation using the tree cut and merge algorithm with importance sam- pling,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.486037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation af234990-d33b-4d54-a17d-0573e1ed36b9 · outbound
This paper cites Lecture notes in Advanced Stochastic Finite Element Methods,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Lecture notes in Advanced Stochastic Finite Element Methods,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.469271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 276eb986-2053-48bc-b35d-0022e2d79b87 · outbound
This paper cites Statistical applications of the Poisson- binomial and conditional Bernoulli distributions,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Statistical applications of the Poisson- binomial and conditional Bernoulli distributions,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.451907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 248c134d-ebb5-475c-a80a-5d96aab275b7 · outbound
This paper cites Weighted finite population sampling to maximize entropy,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Weighted finite population sampling to maximize entropy,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.434772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 56c38dfb-8ef2-4efd-a3a9-0a096c45ab5c · outbound
This paper cites Likelihood calculations for matched case-control studies and survival studies with tied death times,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Likelihood calculations for matched case-control studies and survival studies with tied death times,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.416349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ef84eb1e-7d47-4a14-adbe-277b3fd9f744 · outbound
This paper cites A new technique in minimal path and cutset evaluation,.
A novel stratified sampler with unbalanced refinement for network reliability assessment A new technique in minimal path and cutset evaluation,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.398904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 153fb507-49e8-46b7-be57-a947e801ff47 · outbound
This paper cites Maximal flow through a network,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Maximal flow through a network,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.382014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 40925547-30e8-4945-9ea8-bfabef672866 · outbound
This paper cites A simple min-cut algorithm,.
A novel stratified sampler with unbalanced refinement for network reliability assessment A simple min-cut algorithm,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.364690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 019f3b59-7cc4-462a-9b1c-9bbba3eaeb31 · outbound
This paper cites Non-convex mixed-integer nonlinear pro- gramming: A survey,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Non-convex mixed-integer nonlinear pro- gramming: A survey,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.347655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 40bf84a5-4edd-435e-83e6-7dcf94c1d29a · outbound
This paper cites Mitchell, An Introduction to Genetic Algorithms.
A novel stratified sampler with unbalanced refinement for network reliability assessment Mitchell, An Introduction to Genetic Algorithms
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.330663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation de6dbb36-eadb-459e-bc9a-66c27c7baf00 · outbound
This paper cites A fast algorithm for searching all multi-state minimal cuts,.
A novel stratified sampler with unbalanced refinement for network reliability assessment A fast algorithm for searching all multi-state minimal cuts,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.312997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a51e34e7-0705-4a9a-a207-7b549492110d · outbound
This paper cites Efficiency improvement and variance reduction,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Efficiency improvement and variance reduction,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.295093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9bc68ed0-e564-4144-b815-169eec5e376b · outbound
This paper cites an unresolved cited work.
A novel stratified sampler with unbalanced refinement for network reliability assessment Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:57:07.278005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 93a1b73f-9387-41ef-9d42-33d9a88f8e00 · outbound
This paper cites Model for cascading failures in complex networks,.
A novel stratified sampler with unbalanced refinement for network reliability assessment Model for cascading failures in complex networks,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.261724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8b01ec79-03e5-4f29-a0d7-1599221f59e9 · outbound
This paper cites The seismic response and dynamic function reliability analysis of underground water supply networks (in Chinese),.
A novel stratified sampler with unbalanced refinement for network reliability assessment The seismic response and dynamic function reliability analysis of underground water supply networks (in Chinese),
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.244151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d93492a6-ec2b-4cd7-91aa-fbae3c9fdf46 · outbound
This paper cites A preliminary research on the damage prediction of the buried line (in Chinese),.
A novel stratified sampler with unbalanced refinement for network reliability assessment A preliminary research on the damage prediction of the buried line (in Chinese),
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:57:07.226510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.