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Paper Citation Record · LEDGER

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.02524.

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

pith.paper-citation-record.v1
2607.02524 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T17:27:02.115346Z

measured 38 of 38 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

38 of 38 outbound references displayed

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  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d7ce024-793a-419d-94b9-1d205e585bf7 · outbound

This paper cites IEEE Transactions on Cloud Computing , year=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces IEEE Transactions on Cloud Computing , year=

Reference 1

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:ea1b6de2a0216189f79f9cf87b8eb346f6e160638294d32e7d12ca21506ad5c6

Observation 1ba1eb4e-9537-441a-a715-81a6a58714b3 · outbound

This paper cites Virtualization vs Containerization to Support PaaS , year=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Virtualization vs Containerization to Support PaaS , year=

Reference 2

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:2abf45779cdf30461bcebef3bc7bbd9fa297146a685f0dad6ad60f1e2778d238

Observation 3aeca71e-92fc-4a8a-8a08-beb848980236 · outbound

This paper cites International Conference on Service-Oriented Computing , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces International Conference on Service-Oriented Computing , pages=

Reference 3

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:79e1632a55092498f197956bbe28f7e5c9f537865c0337a30d2bff672f3d94d0

Observation 4991755b-7caa-462f-b572-04a2f0a062fc · outbound

This paper cites Journal of Parallel and Distributed Computing , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Journal of Parallel and Distributed Computing , volume=

Reference 4

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:0097a0f6a1846421e7697ebb93b491cf6895f5589d668b96c2bbaaa0ab75dfde

Observation 8ebf808e-53f5-4362-b000-2dc3edccabe8 · outbound

This paper cites IEEE Access , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces IEEE Access , volume=

Reference 5

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:4c3cd5481bb6fee0564c1961e1dcd9d67c974cd1cca18f29ccc4c3ec1190e143

Observation 95f2a1a9-4778-4d87-a47f-fb32c1b89593 · outbound

This paper cites Journal of Scheduling , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Journal of Scheduling , volume=

Reference 6

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:b0c91a73374df41e9f94a3af68a8dfebbc97b637b3c3024d6e46b071e7261111

Observation 90d35e16-e737-4bfd-a65d-0733dc7789e4 · outbound

This paper cites 1999 , publisher=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces 1999 , publisher=

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:ad1d9a7b0733f77e91014de76cf05406fb852a6f24d76d8cad4d071a14f3a52d

Observation be0142e0-d457-4c4e-a81b-c5920b93d259 · outbound

This paper cites European Conference on Computer Vision , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces European Conference on Computer Vision , pages=

Reference 8

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:37538dfb1b92ae8a8f05308db5b485de98f5a024b25868e682d5ba0c45339153

Observation 63340b24-5ce1-46c9-a482-576cbc6385aa · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 9

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:d05503d0327490f7f5e7bd17075e3c080205c41f7697f1acc761ea30cee664c7

Observation 99317c73-a5a0-4cbc-ab86-db254848d6ad · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Advances in Neural Information Processing Systems , volume=

Reference 10

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:58c28f33d8b49374584ddf927c44ffd6aa5a5a5fc2b395b190b76cf927619fd3

Observation b18aa335-7f94-4e84-9c09-d1f125341553 · outbound

This paper cites Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and data mining , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 11

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:e8fff421286d1dcae2077fa8ee94db9a700699c5a7d91a770363a6df6149ad2c

Observation c5fde17f-114c-4303-af66-6111378ae0fd · outbound

This paper cites Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages=

Reference 12

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:ea639658f33653b52049722691ababeaa9e3c239a10bf1a220120219c18ba552

Observation 262bd173-b670-4f79-9782-864c5fc3acc3 · outbound

This paper cites Neural Computing and Applications , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Neural Computing and Applications , volume=

Reference 13

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:2ff549b28a4612c71c123ed6117f674028755e81bc0df1a342e912dcc2e8afab

Observation 798c5d81-0722-48ac-ad34-31697127019e · outbound

This paper cites IEEE Internet of Things Journal , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces IEEE Internet of Things Journal , volume=

Reference 14

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:e150a5ad1929742eaf624375dd1e7f741683aab9318344eb42208fb1831e32e8

Observation 5dedc57b-eeae-4005-92d2-9a0799fa28fa · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 15

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:6644538c7ed6e3c5e92071ef86c6d2e18ec3b7885d2cc6d446630ee1b9da1e04

Observation 78339e78-2ec1-4f9c-ae29-da368c4e19e5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Advances in Neural Information Processing Systems , volume=

Reference 16

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:9da5623c34d822fd3af489f49572aeb34da227ece3eebb86b306ae57b80590d4

Observation 9a3e6774-4eb0-49fc-be31-a0ea107d4647 · outbound

This paper cites Advances in neural information processing systems , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Advances in neural information processing systems , volume=

Reference 17

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:a322ee6418b59b1606db90ee3a51a8e8cebca366b4d7f888c29abcc0f15aa100

Observation 0c8e908d-70e0-470f-a422-835507d25200 · outbound

This paper cites International conference on machine learning , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces International conference on machine learning , pages=

Reference 18

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:f904b7f5f92125dd6982a02e6735b802961e3829b97b985e256d38277e0a0677

Observation ba3ac1b3-dcd4-4d6d-99ac-d3aa83e3550c · outbound

This paper cites The eleventh international conference on learning representations , year=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces The eleventh international conference on learning representations , year=

Reference 19

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:5d532a8edc8c5fac8ab1bee67de89b1fdd878a65ab56af72a04efdd53edff395

Observation f86b59a6-cd10-4afa-b6c2-20186adbfc8c · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 20

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:367bd6ffbe95f7bc794eaddfd122530167fbeb091eeb5ac797977e802bb872f4

Observation 3553ce49-0dec-49c6-abd4-9191c8d9e5d0 · outbound

This paper cites Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services

Reference 21

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:f2ce12b519ad986fcfe135bbb918812cc425dca7abc7f3294be60fad5dbe09f8

Observation 89f83c74-aa5e-4c70-b143-ea54a3ffacbd · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 22

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:5b7749b848f5479b0f1736ea636972a420a80fb7937cb18fd8ffeb8074a18e17

Observation 0b638034-93ff-428c-951a-469073bee4bf · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 23

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:3089edb6869ea235545dc4c86714862e6d1889f3a01a053bd9bceb18e72fedf2

Observation d19829a1-8def-4f2b-b9e1-1da830f77e6d · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 24

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:8001788c59ceb547cabd866102cd47a2b5f6d6dcecb3a4dabc2837a6d6f7ef2b

Observation d88dd1d3-80ca-42f8-9a91-011b98416af4 · outbound

This paper cites Patches Are All You Need?.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Patches Are All You Need?

Reference 25

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Observation 5b36c485-38c7-46fe-8414-7718e7e33ad3 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 26

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:310b99b07c39e82609009a41d5b5ca3143b6d791a0c4e4263367f5ef39070a04

Observation c0de0604-7b6b-4bf9-b2ae-a67fe314d428 · outbound

This paper cites More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Reference 27

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:e6c2bebffe8ecec28ea8d6291bf5970003bbb9c3e42dc3cda5dd1ba0f7b1b593

Observation b629d85f-2b93-44d0-b499-6567f7da96c8 · outbound

This paper cites The twelfth international conference on learning representations , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces The twelfth international conference on learning representations , pages=

Reference 28

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:ef3f85ba918476c7b09655adc32d92c20ac3de0e3b09815b33671835657a6ef2

Observation 6292af3d-d6be-4e76-83cc-c726e3203ff6 · outbound

This paper cites The eleventh international conference on learning representations , year=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces The eleventh international conference on learning representations , year=

Reference 29

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:07490f83cb28509118392b0ae17dc3a152a3feaa83f51563e5c23dc70ea17897

Observation 11489d4e-9b9f-4a87-9bf3-572fc491e440 · outbound

This paper cites Proceedings of the ACM Web Conference 2023 , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the ACM Web Conference 2023 , pages=

Reference 30

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:7b3d0568cc2992e10e72aedd441c4e1b592da7aec9edd351eb2be1e823ebbb61

Observation 61dd25d4-6079-493b-a6c9-68f156830df9 · outbound

This paper cites Journal of Open Source Software , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Journal of Open Source Software , volume=

Reference 31

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:cefe93c9ca111e9b690d7b676757de78ea3b7560a73700cd675e75c76ac0673e

Observation de9bcacd-16df-4c6f-9779-59642cc4be47 · outbound

This paper cites Proceedings of the ACM Symposium on Cloud Computing , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the ACM Symposium on Cloud Computing , pages=

Reference 32

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:3c1c0e02097597ba8c1ad42ac83cdc10d88894bfb4b688996a09e7a708415322

Observation 39321833-66ca-4065-98cb-aad1cfe91d55 · outbound

This paper cites Proceedings of the 13th Symposium on Cloud Computing , pages=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the 13th Symposium on Cloud Computing , pages=

Reference 33

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:ad0586d797cf870d5fe8d8d3c4ad6ef7f8e6df33c2b5cab3a24dba2a01431cc3

Observation 8c8ad9e6-f29a-4f1f-9d17-eb9fc519d2cd · outbound

This paper cites an unresolved cited work.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Unresolved cited work

Reference 34

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Observation 697b45f3-a136-425a-80e2-7e36d96df35c · outbound

This paper cites Proceedings of the Tenth European Conference on Computer Systems , articleno =.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Proceedings of the Tenth European Conference on Computer Systems , articleno =

Reference 35

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Observation 55b2a375-e30e-4617-a5a9-a849ed6a8e7e · outbound

This paper cites Advances in neural information processing systems , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces Advances in neural information processing systems , volume=

Reference 36

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Observation ffbf6565-f0d5-4f05-98c4-351a3bb3a7ad · outbound

This paper cites IEEE Transactions on Parallel and Distributed Systems , volume=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces IEEE Transactions on Parallel and Distributed Systems , volume=

Reference 37

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Observation 3743d400-72e5-4def-a005-830a54185726 · outbound

This paper cites IEEE Transactions on Services Computing , year=.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces IEEE Transactions on Services Computing , year=

Reference 38

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source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:3a9c02e0aa9518aa880d4235815d09387467b83fa47ebcac3e29232d235214c9

Pith citing papers

No inbound Pith citation observations are available.