Paper Citation Record · LEDGER

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2505.15171.

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

pith.paper-citation-record.v1
2505.15171 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:09.236850Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:51.277990Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:58:53.469282Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy27
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 633f8d69-ed75-497f-8711-6bee4dc88f0c · outbound

This paper cites Bellman, Mathematical optimization techniques.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Bellman, Mathematical optimization techniques

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.903445Z

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 7d73676b-7761-4ab8-b72e-92be777e29c6 · outbound

This paper cites Simulated annealing algorithms: An overview,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Simulated annealing algorithms: An overview,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.881543Z

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 cf22b670-0e5e-4c20-852f-d8fd6295b349 · outbound

This paper cites A review of population-based meta-heuristic algorithms,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach A review of population-based meta-heuristic algorithms,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.862327Z

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 207acd98-7f2a-46d8-afd0-976ab9435c99 · outbound

This paper cites Evolu- tionary algorithms,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Evolu- tionary algorithms,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:09.047508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 007badaa-e940-47c8-884d-e4b3ee53f1bc · outbound

This paper cites Gsa: a gravitational search algorithm,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Gsa: a gravitational search algorithm,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.826247Z

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 221d8fb1-82bb-48e9-9957-ef2419d1c065 · outbound

This paper cites Swarm intelligence: A review of algorithms,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Swarm intelligence: A review of algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.803229Z

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 3104daac-7aae-4e48-b76f-0bd836c89ecf · outbound

This paper cites Task scheduling in cloud computing: A priority-based heuristic approach,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Task scheduling in cloud computing: A priority-based heuristic approach,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.781266Z

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 9255c19e-0f7e-45bc-928c-26d8dcafaa38 · outbound

This paper cites A systematic literature review for load balancing and task scheduling techniques in cloud computing,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach A systematic literature review for load balancing and task scheduling techniques in cloud computing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.761181Z

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 ef25deb5-e7a3-4285-bac6-ffe698c534b5 · outbound

This paper cites Task scheduling in cloud computing based on grey wolf optimization with a new encoding mechanism,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Task scheduling in cloud computing based on grey wolf optimization with a new encoding mechanism,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.738378Z

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 ad9aba0c-4421-4cba-816e-2bb670647ae4 · outbound

This paper cites Grey wolf optimizer,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Grey wolf optimizer,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:09.085407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec72838f-6b0c-4ebf-a637-78fd2d385426 · outbound

This paper cites Improved workflow scheduling using grey wolf optimization in cloud environment,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Improved workflow scheduling using grey wolf optimization in cloud environment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.697324Z

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 be6fa61a-09c7-4e06-8693-ce0b5343e768 · outbound

This paper cites Particle swarm optimization,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Particle swarm optimization,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:09.098716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a77545-0a4d-4849-a61b-221462561268 · outbound

This paper cites Task scheduling in cloud computing using particle swarm optimization with time varying inertia weight strategies,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Task scheduling in cloud computing using particle swarm optimization with time varying inertia weight strategies,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.655321Z

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 0daf2bd0-e4e5-4cd4-97e0-f915023aa01c · outbound

This paper cites An effective cloud workflow scheduling approach combining pso and idle time slot-aware rules,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach An effective cloud workflow scheduling approach combining pso and idle time slot-aware rules,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.633922Z

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 e8a5d06e-f2c7-4969-93a8-7c2c1dadfaf9 · outbound

This paper cites A cooperative co- evolution hyper-heuristic framework for workflow scheduling problem,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach A cooperative co- evolution hyper-heuristic framework for workflow scheduling problem,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.614915Z

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 5f29f686-555b-4fc8-a1af-78dc08fd6d2b · outbound

This paper cites A scheduling scheme in the cloud computing environment using deep q-learning,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach A scheduling scheme in the cloud computing environment using deep q-learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.595156Z

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 09548127-4d8a-43ae-a6a9-d121d0ecfee1 · outbound

This paper cites Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.576245Z

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 480772a5-d200-493d-909e-de3433de8347 · outbound

This paper cites An efficient task offloading and auto-scaling approach for iot applications in edge computing environment,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach An efficient task offloading and auto-scaling approach for iot applications in edge computing environment,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.556673Z

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 e128fa7d-e241-4df5-ab94-b276f9d07cb2 · outbound

This paper cites Novel load balancing mechanism for cloud networks using dilated and attention-based federated learning with coati optimization,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Novel load balancing mechanism for cloud networks using dilated and attention-based federated learning with coati optimization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.531040Z

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 40d2d898-bd40-4f9f-9cd9-30cf46dc126f · outbound

This paper cites An improved particle swarm optimization algorithm for task scheduling in cloud computing,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach An improved particle swarm optimization algorithm for task scheduling in cloud computing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.506895Z

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 465ee752-84ab-43e1-a328-0b6702dff614 · outbound

This paper cites Task scheduling in cloud computing using hybrid optimization algorithm,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Task scheduling in cloud computing using hybrid optimization algorithm,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.486236Z

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 83441563-086b-4e5a-bad8-ef76302fc4d1 · outbound

This paper cites Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.465313Z

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 5ed5b5cc-0e0e-4e7b-99ed-40a14757a993 · outbound

This paper cites An improved pso algorithm for cloud computing systems,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach An improved pso algorithm for cloud computing systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.438455Z

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 0a60a72e-bf2a-47d4-9d0c-4b39ed0359d4 · outbound

This paper cites Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.417688Z

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 e53c8114-d64e-43b9-b747-1ab544d7df29 · outbound

This paper cites Hgwo-multiqos: A hybrid grey wolf optimization approach for qos-constrained workflow scheduling in iaas clouds,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Hgwo-multiqos: A hybrid grey wolf optimization approach for qos-constrained workflow scheduling in iaas clouds,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.388205Z

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 a5f68722-301a-42a8-ae01-8dc0fd12e0b8 · outbound

This paper cites An enhanced grey wolf optimization algorithm for efficient task scheduling in mobile edge computing,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach An enhanced grey wolf optimization algorithm for efficient task scheduling in mobile edge computing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.364519Z

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 81030189-a7c1-4b3a-b869-ca8d9c8174f9 · outbound

This paper cites Cloud computing environment: Review on task scheduling algorithms,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Cloud computing environment: Review on task scheduling algorithms,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.342457Z

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 9a8257d7-ac8a-49e5-9124-ed69a8b5de4a · outbound

This paper cites Construction of cloud computing task scheduling model based on simulated annealing hybrid algorithm,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Construction of cloud computing task scheduling model based on simulated annealing hybrid algorithm,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.323898Z

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 62770252-6623-44b5-816f-58c71e8bd9fa · outbound

This paper cites Reinforcement learning-based comprehensive learning grey wolf optimizer for feature selection,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Reinforcement learning-based comprehensive learning grey wolf optimizer for feature selection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.305795Z

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 053f1ec2-9bc6-4755-94d4-4f4cca24f8ee · outbound

This paper cites Google 2019 Cluster sample,.

Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach Google 2019 Cluster sample,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:25:09.285724Z

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

Observation 5aef0479-87ee-48c8-a9dd-627e8f1fa2ac · inbound

Adaptive, Efficient and Fair Resource Allocation in Cloud Datacenters leveraging Weighted A3C Deep Reinforcement Learning cites this paper.

Adaptive, Efficient and Fair Resource Allocation in Cloud Datacenters leveraging Weighted A3C Deep Reinforcement Learning Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:58:53.570600Z

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.