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Paper Citation Record · LEDGER

Integrating Explainable AI for Energy Efficient Open Radio Access Networks

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2504.18029.

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

pith.paper-citation-record.v1
2504.18029 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:21.087699Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e06bb358-df86-46a1-bca4-6a755445157b · outbound

This paper cites Edge Computing in Micro Data Centers for Firefighting in Residential Areas of Future Smart Cities,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Edge Computing in Micro Data Centers for Firefighting in Residential Areas of Future Smart Cities,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.900886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation deff45c4-f862-46b7-b4a9-f580277e5aec · outbound

This paper cites The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.844352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.730215Z digest=sha256:271e521a472355f26e5f6667c144f5fb6b8d551f11bfe17ca0adb1cb986ad450

Observation eaabedba-1c8e-481f-b70d-d71ed52df53c · outbound

This paper cites Toward Greener 5G and Beyond Radio Access Networks—A Survey,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Toward Greener 5G and Beyond Radio Access Networks—A Survey,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.627638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.734456Z digest=sha256:9dac685116c61fbe6ccc06bad4ade33451f8bb81d56188bb3995c55e46189ef3

Observation 4e72f2ae-8830-4da1-94fc-e97ade9f5a3e · outbound

This paper cites The Drift Handling Framework for Open Radio Access Networks: An Experimental Evaluation,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks The Drift Handling Framework for Open Radio Access Networks: An Experimental Evaluation,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.608636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.739923Z digest=sha256:49a601bf6bc7751d42790900bfdea84cb732b170b339ab93051bb71a5f79f4cc

Observation 48f70d4c-301d-435f-95ab-c37879d9255b · outbound

This paper cites Demonstrating the Energy Consumption of Radio Access Networks in Container Clouds,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Demonstrating the Energy Consumption of Radio Access Networks in Container Clouds,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.597036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.745229Z digest=sha256:27f15f7e0940f7b4e9d55673fefc83cd9a0349d1a12f33781827821ddefb270a

Observation e810c867-8f19-4866-8db5-50a416337784 · outbound

This paper cites Joint Time and Energy-Optimal Approach to Allocate Task to Actors in Wireless Sensor Actor Networks,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Joint Time and Energy-Optimal Approach to Allocate Task to Actors in Wireless Sensor Actor Networks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.584901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.837646Z digest=sha256:131b18aafec3f7fcc8ee85324a67495e480ef403e35c4daaf869a4420a556bf0

Observation 73a53247-dacc-46f2-891f-1f550d94ac65 · outbound

This paper cites EARNEST: Experimental Analysis of RAN Energy with Open-Source Software Tools,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks EARNEST: Experimental Analysis of RAN Energy with Open-Source Software Tools,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.430192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.914958Z digest=sha256:5dbd9eeebaef96391417ce50194384ead4b219958ed13ab391703565a8c5bf4a

Observation bcf49612-dd1e-4c38-8f0f-8140eba28228 · outbound

This paper cites Prediction and Optimization of Energy Consumption in an Office Building Using Artificial Neural Network and a Genetic Algorithm,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Prediction and Optimization of Energy Consumption in an Office Building Using Artificial Neural Network and a Genetic Algorithm,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.337306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.919771Z digest=sha256:9aadaa3a92e6e080014e46d90ab004a968fa4940a756426358dd864c5fef40b6

Observation f8f9e72f-f8b6-4482-84db-cd19a3e4bbd4 · outbound

This paper cites Method for evaluation on energy consumption of cloud computing data center based on deep reinforcement learning,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Method for evaluation on energy consumption of cloud computing data center based on deep reinforcement learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.326159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.924804Z digest=sha256:334db4bf0c06527d68075c8aa5ce46c281f7b3fadaf26dd5dbeaa42270012783

Observation c080d8d0-8149-4b6e-ac00-c99c7873526e · outbound

This paper cites Energy consumption prediction by using machine learning for smart building: Case study in Malaysia,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Energy consumption prediction by using machine learning for smart building: Case study in Malaysia,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.315417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.928278Z digest=sha256:087b77e4cf55682bc28138e52556c361cd27117bb01ebb4fc48b441e2664561d

Observation fd7b5600-bb18-4482-b41e-83e473c6d388 · outbound

This paper cites Why model why? Assessing the strengths and limitations of LIME.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Why model why? Assessing the strengths and limitations of LIME

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:20.932081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:20.932081Z digest=sha256:2cb7ea8c79a2bdd4257f2b5378da6fe20c4eb837ecdca47e54530cc4b58e0379

Observation e64c5f00-e424-49a0-b443-a194aaddf2ba · outbound

This paper cites O- RAN Experimental Evaluatuin Datasets,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks O- RAN Experimental Evaluatuin Datasets,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:20.935932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:20.935932Z digest=sha256:3d3f3cf19fdc248917726925ad9291d43a37bee0482a1607630457abd43c822b

Observation 81ed72e7-05d4-472a-a591-b58d248cf583 · outbound

This paper cites Stochastic Gradient Boosting,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Stochastic Gradient Boosting,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.292187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:20.957080Z digest=sha256:083c0b217e56cf7700490e8d5a455b2a1e096251164b0f88e7c86e99052afdb2

Observation 56d26d0b-5339-40e4-9cf6-396d8490a5d4 · outbound

This paper cites Random Forests,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Random Forests,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:21.043983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:21.043983Z digest=sha256:a7bf9178684fdc57b522760449a319368d8e7ca1c4d0cd83490af97232363cb2

Observation 7ade0428-3441-400a-99a1-60fdef73d121 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System,.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks XGBoost: A Scalable Tree Boosting System,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:21.226360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:28:21.087699Z digest=sha256:955eed737035c4d9d13c4b97c74f7aa24d76e81265535d60acd794b817cb6d5f

Pith citing papers

No inbound Pith citation observations are available.