Paper Citation Record · LEDGER

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.14823.

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

pith.paper-citation-record.v1
2501.14823 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:30:29.592524Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy18
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad923a3c-bbab-451b-a8ff-16056fd2ff62 · outbound

This paper cites Alamouti, Fay Arjomandi, and Michel Burger.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Alamouti, Fay Arjomandi, and Michel Burger

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.348841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0e528c9-06a0-4ef3-8f0d-6c98ccd5cc56 · outbound

This paper cites Tensorflow lite.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Tensorflow lite

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.329314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c50efe15-7d06-4251-bb43-80a63a40bc68 · outbound

This paper cites Jackson and C.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Jackson and C

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.306158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78c2f13c-e8e8-460f-a5fb-c50e6397b8fd · outbound

This paper cites Barroso, J.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Barroso, J

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.264900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0ff143b-63a5-450f-9b46-b08eb45adb40 · outbound

This paper cites an unresolved cited work.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:30:30.242523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b62a70b2-7a1b-4fe9-94b3-0f698bb4ef1a · outbound

This paper cites Reiss, J.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Reiss, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.220300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53a89959-0c87-447b-bd21-b81615949394 · outbound

This paper cites Dean and S.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Dean and S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.190753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e9740813-c2f9-4da7-a638-e68f38b33f1b · outbound

This paper cites an unresolved cited work.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:30:30.166798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5bdfe6c9-a8d0-4abe-b9a4-17ac920e3fa9 · outbound

This paper cites Baliga, R.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Baliga, R

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.131957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 285d0b34-7bf5-4b08-8eaf-99cc37dc6762 · outbound

This paper cites an unresolved cited work.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:30:30.107963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2b99e10-1cbb-49d1-b59d-273cf6dc347a · outbound

This paper cites Masanet, A.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Masanet, A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.078183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88d391b1-76ad-4cd9-ba8c-15cac1d09591 · outbound

This paper cites Venkatesh, V.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Venkatesh, V

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.051520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f5cdd7e-4e70-410b-a2f3-078bc18f5790 · outbound

This paper cites State of the internet report.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads State of the internet report

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:30.021998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58897068-36db-45c0-8214-e84c9f520bc8 · outbound

This paper cites Cisco global cloud index: Forecast and methodology, 2020–2025.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Cisco global cloud index: Forecast and methodology, 2020–2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.988644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d0442bc-099a-4d76-a43b-c586c9bb35e3 · outbound

This paper cites Aws pricing overview.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Aws pricing overview

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.934917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6883545-d439-4249-9c01-eb49759accfd · outbound

This paper cites Google cloud pricing.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Google cloud pricing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.911541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d27975e-84e7-49e6-bc97-36da1fc3ecf7 · outbound

This paper cites Azure pricing overview.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Azure pricing overview

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.883302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fb4ce77-0790-43f2-ba83-ce21b7eb531c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Distilling the Knowledge in a Neural Network

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2fe466e-c5a9-4487-8bc5-24cd2c1f4345 · outbound

This paper cites The case for edge ai.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads The case for edge ai

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.852240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae142c6c-e008-4699-b672-42799a40e723 · outbound

This paper cites Arm cortex-a processors for ai workloads.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Arm cortex-a processors for ai workloads

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.824915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74ea0d4a-d4ee-42cf-9547-9e195b8457bd · outbound

This paper cites an unresolved cited work.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:30:29.803903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b472d564-1c99-4c4c-8905-8c8e3d60ecde · outbound

This paper cites The rise of edge-native ai.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads The rise of edge-native ai

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.771538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7a04cf8-383a-478d-bb79-a696b05745c8 · outbound

This paper cites Ai workloads: Benchmarking edge vs.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Ai workloads: Benchmarking edge vs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:30:29.746779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21c316c0-a761-454b-ac86-d57f56d29a46 · outbound

This paper cites MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:29.585485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0edde89a-3d42-4a8e-a9a0-a985f170644d · outbound

This paper cites Compression of Neural Machine Translation Models via Pruning.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Compression of Neural Machine Translation Models via Pruning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:29.592524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.