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Paper Citation Record · LEDGER

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2505.17359.

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

pith.paper-citation-record.v1
2505.17359 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:26.405225Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

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  • unresolved31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a55899ee-0ec9-4e74-a95a-3060f437e924 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 1

Resolution
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Observation e6e74aba-9f6c-4953-98b5-ee6891acdcd0 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 2

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Observation 35df6d46-5d40-4476-aa0b-f9a6681dc8c9 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ab577363-a34e-4488-ac0a-600640f54d9b · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 1af62868-9eaf-4c4f-b347-f3d4e8d2e640 · outbound

This paper cites Accessed: 2024-10-05.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Accessed: 2024-10-05

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b4d37849-2bb1-47e1-84f7-0cb2096f03e9 · outbound

This paper cites W., Gani, A., Hamid, S.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning W., Gani, A., Hamid, S

Reference 6

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Source-reported events for the cited work

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Observation c68a54a9-7c62-4c32-bba7-759df4383c2f · outbound

This paper cites InProceedings of the 61st ACM/IEEE Design Automation Conference (2024), pp.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the 61st ACM/IEEE Design Automation Conference (2024), pp

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 91ba844d-d7c2-4b63-842e-f9c89a90a51d · outbound

This paper cites InProceed- ings of the AAAI Conference on Artificial Intelligence(2020), vol.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceed- ings of the AAAI Conference on Artificial Intelligence(2020), vol

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b66a68e4-810e-44c7-a01e-5bea06985137 · outbound

This paper cites M.Pattern Recognition and Machine Learning (Information Science and Statistics), 1 ed.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning M.Pattern Recognition and Machine Learning (Information Science and Statistics), 1 ed

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a32f1665-2abb-450d-a34f-227733955fff · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

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Observation fa4341b6-1ba2-4f89-bc29-a09823d97ba3 · outbound

This paper cites Reinforcement Learning Driven Heuristic Optimization.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Reinforcement Learning Driven Heuristic Optimization

Reference 12

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Source-reported events for the cited work

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Observation 409521d8-81c6-4721-b173-d64570d9a090 · outbound

This paper cites M., and Du, W.Marlp: Time-series forecasting control for agricultural managed aquifer recharge.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning M., and Du, W.Marlp: Time-series forecasting control for agricultural managed aquifer recharge

Reference 13

Resolution
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Source-reported events for the cited work

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Observation d364379c-2681-4f2c-b1af-e7738ff1e370 · outbound

This paper cites G., Jul, E., Limpach, C., Pratt, I., and W arfield, A.Live migration of virtual machines.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning G., Jul, E., Limpach, C., Pratt, I., and W arfield, A.Live migration of virtual machines

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 146055c1-887a-4147-9a61-0eca07653b11 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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Source-reported events for the cited work

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Observation 7d247951-59c6-4b96-81e5-eec6ac325f26 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d9e9ddd0-040c-43ae-bb5f-d66d26cd8e48 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f037b116-c826-4855-915a-131d8e90ba49 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 10dcaaa0-d06a-4161-a98d-0ad6fcf17d43 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 970452c7-3c98-4129-88aa-ed428abdd490 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 40963bbf-821b-4e6b-aee5-fb632804a975 · outbound

This paper cites InInternational Conference on Learning Representations(2021).

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InInternational Conference on Learning Representations(2021)

Reference 21

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Source-reported events for the cited work

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Observation 4f9d7ff0-4437-42f1-a4e3-51c5c0ccc6c4 · outbound

This paper cites A multi-task selected learning approach for solving 3d flexible bin packing problem.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning A multi-task selected learning approach for solving 3d flexible bin packing problem

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b5230e54-12e1-4340-aa16-8eecbdd31701 · outbound

This paper cites Reinforcement learning for variable selection in a branch and bound algorithm.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Reinforcement learning for variable selection in a branch and bound algorithm

Reference 23

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Source-reported events for the cited work

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Observation acf3fb50-4e63-46d1-9651-3406f4b2fe91 · outbound

This paper cites Pytorch: An open source machine learning framework.https://pytorch.org/, 2019.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Pytorch: An open source machine learning framework.https://pytorch.org/, 2019

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ed87f5dc-2a6a-417f-a4c3-43a1aafe83eb · outbound

This paper cites Advances in Neural Information Processing Systems 32(2019).

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Advances in Neural Information Processing Systems 32(2019)

Reference 25

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Source-reported events for the cited work

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Observation 1400b6f6-9fee-4a22-864f-dafae8fd19cd · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2bfff1c0-da86-4cba-a29b-3284e817de82 · outbound

This paper cites T., Nguyen, T.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning T., Nguyen, T

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c4a3c07f-cbbc-4379-b20c-a18169d6e470 · outbound

This paper cites E., Dion, D., Dorminey, S., Joshi, S., Chen, Y., Russinovich, M., et al.Protean: Vm allocation service at scale.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning E., Dion, D., Dorminey, S., Joshi, S., Chen, Y., Russinovich, M., et al.Protean: Vm allocation service at scale

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 04497e59-f1e7-448c-ba43-ae73a75b6900 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites InProceedings of the AAAI conference on artificial intelligence(2018), vol.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the AAAI conference on artificial intelligence(2018), vol

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 32c91172-334f-4a57-a11c-7569fd99024a · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:21.987527Z digest=sha256:f2bf3876343c620e25a3f0f9ce5d34e859cbc7dfb67aea2c090e4c3a9457683b

Observation 01d135ea-dc3e-4847-a09e-8985e001d32f · outbound

This paper cites InProceedings of the 36th Interna- tional Conference on Machine Learning(2019).

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the 36th Interna- tional Conference on Machine Learning(2019)

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4f20e113-e89a-477d-b10d-0bb5c06f6cbc · outbound

This paper cites InProceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (Melbourne, Australia, July 2018), I.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (Melbourne, Australia, July 2018), I

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation efdd90b6-3f11-4393-8d83-684a63420fe0 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 34

Resolution
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no resolver link, observed 2026-08-07T14:56:22.395204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:22.395204Z digest=sha256:0652d9ec7466833d7365bb7aad1cadf0f21c65709a59ededd98df4007bb74860

Observation 07855acd-f0ab-4587-9d6b-0a7a6b028712 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 475e6630-a6c3-40bd-964f-2de3a03b20b5 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:31.601595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:22.651328Z digest=sha256:e82515a11baaef528525923e883308b25a78bc6ed6ab3011e132196f81faeb92

Observation 6f30c3a3-2e46-4b9e-aa06-994b7e4a630a · outbound

This paper cites L., Likitha, V., Suneetha, B., and Vignesh, T.Analysis of ci/cd application in kubernetes architec- ture.Mathematical Statistician and Engineering Applications 71, 4 (Mar.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning L., Likitha, V., Suneetha, B., and Vignesh, T.Analysis of ci/cd application in kubernetes architec- ture.Mathematical Statistician and Engineering Applications 71, 4 (Mar

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:31.375074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:22.812526Z digest=sha256:c7ffb06f382f8e98a3b07a69fbc37a10568b869a21a470ec79529ce10925db31

Observation 8f6040bf-ef2b-4a25-9461-6b36b30d7b15 · outbound

This paper cites P., Littman, M.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning P., Littman, M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:31.235180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:22.929374Z digest=sha256:8b1536bcb8435f90fc3a6293ac4cfa43cccd61a39c94fee5b1fb4710be18bf08

Observation 0636c96c-c256-4df4-b6f2-6c7f0ca5a44c · outbound

This paper cites In2022 IEEE 9th International Confer- ence on Data Science and Advanced Analytics (DSAA)(2022), pp.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning In2022 IEEE 9th International Confer- ence on Data Science and Advanced Analytics (DSAA)(2022), pp

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:31.096906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:23.064167Z digest=sha256:97685271391bf2902b920bebead2ea59492f9c56c25924a0378f06d9921234ed

Observation 12065f99-ccaa-4036-8cc1-7403493cd988 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:23.252480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:23.252480Z digest=sha256:782414fb00468f51dc4171be073c4ca47d4b6186d5048259a08134aac441a191

Observation 37c330e3-854c-4ef4-88c9-349d3e393fd7 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:30.978013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:23.449884Z digest=sha256:39d5c6b3d7cbfe9f42c46d75b631feb0882c38c1b46cfcd5fb9241d589b5ddf1

Observation c6322f5a-9755-41ba-8bd8-d27fda70ab94 · outbound

This paper cites InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining(New York, NY, USA, 2018), KDD ’18, Association for Computing Machinery, p.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining(New York, NY, USA, 2018), KDD ’18, Association for Computing Machinery, p

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:30.836604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:23.589681Z digest=sha256:d0f65f5567e26c53abdf493f39dddfc1510f52d89a238634e02677e558157c9b

Observation e8f9b853-9c0d-4fff-9667-d3d0ae59e15d · outbound

This paper cites InProceedings of the 5th Workshop on Machine Learning and Systems(New York, NY, USA, 2025), EuroMLSys ’25, Association for Computing Machinery.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the 5th Workshop on Machine Learning and Systems(New York, NY, USA, 2025), EuroMLSys ’25, Association for Computing Machinery

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:30.692175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:23.742699Z digest=sha256:b95ba917037dcd77584e27a2cfde1263986d7cfe099e4944f30d80a83c414c97

Observation 91bba704-22ef-4937-8c24-6d4ebd9b85ca · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:30.495828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:23.892674Z digest=sha256:663921bca6998d24bb65c2db86148da7e01e0094599adf3edf38bc97a88097fb

Observation 1f12bf99-df84-4472-a18c-ba867a0e59b9 · outbound

This paper cites B., Meng, Z., and Alizadeh, M.Learning scheduling algorithms for data processing clusters.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning B., Meng, Z., and Alizadeh, M.Learning scheduling algorithms for data processing clusters

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:30.349658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:23.989438Z digest=sha256:eb05b90d42e41e8924cc731d463af177fe8b6d386ea3b8b708fde38de20e1640

Observation 3a8c5695-703d-4420-9d93-918fd3db3ce4 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:30.224859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.086456Z digest=sha256:5fbb1056e5e4c6324c48a508f48a2cbbe7549fdc5f39f64dc3055ff315079fd7

Observation eada9c24-9c42-466d-badd-aecdff64893b · outbound

This paper cites F., Uhlig, V., Krieger, O., and Xenidis, J.Virtualization for high-performance computing.SIGOPS Oper.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning F., Uhlig, V., Krieger, O., and Xenidis, J.Virtualization for high-performance computing.SIGOPS Oper

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:30.007631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.177217Z digest=sha256:c785af5b5365775341cfaa7571e03b88962f75d011f07aeb85d3888ac19cb23e

Observation f79d4bf1-ad3c-4ad8-a479-e81f5b223b6f · outbound

This paper cites InProceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles(2021).

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles(2021)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:29.843883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.244828Z digest=sha256:667cb52d20c8aac5ae2da5452e4b9e557854d4dc91fa3a9e0b71165eb52e18e4

Observation be89c3e1-c2b3-4659-94bd-6e1c9efeeba2 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:29.671622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.362087Z digest=sha256:3a8a6332048ea0395e403880634e45149bb3aeec0728f447444d5bb9b1e4834c

Observation f03e62e1-c34e-45fc-8bbd-9b3535c807e2 · outbound

This paper cites microsoft.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning microsoft

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:29.496095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.474314Z digest=sha256:d16e8f2c3a8fa5231854f0f25b1ce0a1eab4ad3c37cf5ac1d742d78f339a2500

Observation 68a6e598-2a5b-47a2-ae85-31dfc7aef5a4 · outbound

This paper cites M., and Oliveira, J.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning M., and Oliveira, J

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:29.356041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.589251Z digest=sha256:7e6d0a170fc9117fdde946128523a907f8ac1a59b44174aadd4ccad2c2c5afd5

Observation e7168032-3508-4885-8122-c85a8c240c96 · outbound

This paper cites K., Larma, M.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning K., Larma, M

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:29.216871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.744510Z digest=sha256:982f722607e9fea857ed37871b81ba76ac2d9e8f87bc2947f33978eb4d6f1c9e

Observation 111910f0-608e-44d3-90c1-5b1f35cdda01 · outbound

This paper cites E., Perescu-Popescu, L., and Mastorakis, N.Multilayer perceptron and neural networks.WSEAS Transactions on Circuits and Systems 8, 7 (2009), 579–588.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning E., Perescu-Popescu, L., and Mastorakis, N.Multilayer perceptron and neural networks.WSEAS Transactions on Circuits and Systems 8, 7 (2009), 579–588

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:29.087405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.805818Z digest=sha256:f8a8a64d5d51028e6e20fe0a9f2de469572272fc9c89d5de41787600a950c59b

Observation 331db90b-2b4a-4eca-a020-5fd6092ffc97 · outbound

This paper cites Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:24.865596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:24.865596Z digest=sha256:f9b5ffed3a015b6f0ab720912c4ed97c96d1fffc1de51231a479b592b4c1720e

Observation 4a3c80e6-6d7f-4809-9839-b16a3a39a05a · outbound

This paper cites T.Learn- ing by playing solving sparse reward tasks from scratch.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning T.Learn- ing by playing solving sparse reward tasks from scratch

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:28.953698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:24.918852Z digest=sha256:17db8a418ae3b6dd1359e3459e9ed510089b6c3ab3d49884b88c2c4afaf72065

Observation 3ac4a45f-c774-4413-bbc8-be3256104494 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:25.003180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:25.003180Z digest=sha256:fc9a440dd3b189f65ea848c431b8d7c4946ccb9e7f87ef0c6d78861a8232bd5e

Observation 86df78ad-b094-4307-82f7-dd7996454ae3 · outbound

This paper cites H., Rahmani, A.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning H., Rahmani, A

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:28.840911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.111144Z digest=sha256:ba1f352ff51f25bcd22d9130416f49419c78ca615452cc2f6448bb1c8114f947

Observation 55f2c94d-b2d1-41b0-8475-6cfffd346d5c · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:28.698866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.216126Z digest=sha256:dda41f3fa277b8bb0d3efd24e3f5ed2d580a9302565d7aa02d3f6a3092453d4c

Observation c888a472-bcc3-40c5-8b1f-c128364c70e5 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:28.554422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.293494Z digest=sha256:624b6e4514f5472fb3ab731eec866b8af798cd632d2ce89f8782b29fa4a2f99d

Observation a4a38930-1d1c-4c22-a2f1-d03af1e17745 · outbound

This paper cites A., Yousafzai, A., V asilakos, A.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning A., Yousafzai, A., V asilakos, A

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:28.407718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.395369Z digest=sha256:4d5b72ab7fc4730e15a65ae29b2e5decf6d04162dfc835289606b2e0ffcda437

Observation 731bb7a3-6693-4448-846e-1f1c27b51ebf · outbound

This paper cites InPro- ceedings of the Seventeenth European Conference on Computer Systems (2022), pp.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InPro- ceedings of the Seventeenth European Conference on Computer Systems (2022), pp

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:28.180037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.524295Z digest=sha256:853d9b93988cd76708bc3d9246cb4e0bd2bbc53f23f3b60b04949f9be6714a90

Observation 415afff2-3371-4c49-8f4e-58fd05b3af7a · outbound

This paper cites N., Kaiser, Ł., and Polosukhin, I.Attention is all you need.Ad- vances in neural information processing systems 30(2017).

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning N., Kaiser, Ł., and Polosukhin, I.Attention is all you need.Ad- vances in neural information processing systems 30(2017)

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:28.047260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.642845Z digest=sha256:2aed7af781c542c59938a09be7ba4f702e882a1fd5629fca407a3bcaf698a63d

Observation 48865da8-af30-41d5-936f-690e31048069 · outbound

This paper cites K., Shenoy, P., V an Der Merwe, J., Hwang, J., Liu, G., and Chaufournier, L.Cloudnet: dynamic pool- ing of cloud resources by live wan migration of virtual machines.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning K., Shenoy, P., V an Der Merwe, J., Hwang, J., Liu, G., and Chaufournier, L.Cloudnet: dynamic pool- ing of cloud resources by live wan migration of virtual machines

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:27.904841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.765223Z digest=sha256:e58ffb42fc34d7229bebe4668c8016e59bff8367e4675a72600acf18e4fb9470

Observation ffbfdc5d-7847-4582-9e2a-c210825216cc · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:56:27.667751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.827751Z digest=sha256:bf9228e3a8bded6303b2c2613943845e763beb562e18bf2f9ba92c4fc389417a

Observation 5098fa7f-f557-44c6-9360-18665b179437 · outbound

This paper cites InProceedings of the 22nd International Conference on Information Processing in Sensor Networks(2023).

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InProceedings of the 22nd International Conference on Information Processing in Sensor Networks(2023)

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:27.475718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.893796Z digest=sha256:9f357f9618d4a230f07ed83669c397348c34aa5a67c9e47b0969ca01b3774f62

Observation 377b24b4-d595-4903-9252-0ce72d639bd1 · outbound

This paper cites InACM MobiSys(2024).

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning InACM MobiSys(2024)

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:27.270899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:25.968431Z digest=sha256:3b8a682d8022f7d0a6aa7a3e83cb7e8a180603b2a0a6e6b0b557eb5693ec40e2

Observation ef3fb5fb-848b-4916-80ea-4849ed437abb · outbound

This paper cites Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:26.058900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:26.058900Z digest=sha256:54f51db32382abcc9ba2edb0af331e3da4cd7670c2c38da8954b6fd753c67877

Observation 7732ba3f-7caa-48e5-99fc-d57fa383af26 · outbound

This paper cites an unresolved cited work.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:26.171656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:26.171656Z digest=sha256:22612be6cd225dd245a6530126db061e2ec2c575405124aa8bdbde2291f5d5ac

Observation 2f69e38c-d6be-40ae-b444-9e8841c3b6d5 · outbound

This paper cites S., Tian, Y., Zhang, Y., and Jin, X.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning S., Tian, Y., Zhang, Y., and Jin, X

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:27.062527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:26.302949Z digest=sha256:da5a88edea388dfe44135362b8a4b895cd003f1e046455d94fe328d570ac50b8

Observation cee11de8-098a-4456-a175-fe898974ab85 · outbound

This paper cites Learning to pack: A data-driven tree search algorithm for large-scale 3d bin packing problem.

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Learning to pack: A data-driven tree search algorithm for large-scale 3d bin packing problem

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:56:26.831194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:56:26.405225Z digest=sha256:06077b340f1bde0d0fde777f7fe1fab2f00585519d784d2b713ca56dd93b04ed

Pith citing papers

No inbound Pith citation observations are available.