Paper Citation Record · LEDGER

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting

As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.01959.

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

pith.paper-citation-record.v1
2505.01959 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:10:06.229366Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

37 of 37 outbound references displayed

verified exact0
verified fuzzy27
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a13f9eef-04ba-43ca-89c8-b9b00d78a0f2 · outbound

This paper cites https://app.electricitymaps.com/map/.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting https://app.electricitymaps.com/map/

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:07.076435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7c0ce201-badd-43d8-88cb-8b4eeda13bc5 · outbound

This paper cites https://watttime.org/.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting https://watttime.org/

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:07.056025Z

Source-reported events for the cited work

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Observation 07febe0c-979c-435f-a3c2-0fad8b6151ed · outbound

This paper cites Carbon explorer: a holis- tic framework for designing carbon aware datacenters.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Carbon explorer: a holis- tic framework for designing carbon aware datacenters

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:07.033951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b85bbba2-9a47-4afe-8d20-ae7a87c42569 · outbound

This paper cites Real-time operating grid.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Real-time operating grid

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:07.010057Z

Source-reported events for the cited work

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Observation 3a884fa7-fe77-45d3-bf56-e9a89cb6d683 · outbound

This paper cites Permutation importance: a corrected feature importance measure.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Permutation importance: a corrected feature importance measure

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.991372Z

Source-reported events for the cited work

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Observation 17215960-2bb7-460b-8d50-5a6205c3e7f5 · outbound

This paper cites Bagging predictors.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Bagging predictors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:06.064840Z

Source-reported events for the cited work

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Observation d5921136-7b64-4788-9c8e-b6fbf1efc07c · outbound

This paper cites Random forests.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Random forests

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:06.069347Z

Source-reported events for the cited work

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Observation 8ecaca85-1262-4b4b-a68a-949e1967954a · outbound

This paper cites Open access same-time information system (OASIS).

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Open access same-time information system (OASIS)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.945534Z

Source-reported events for the cited work

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Observation 860d0ebf-578f-49e8-bfe9-764f728005f8 · outbound

This paper cites Greenhouse temperature predic- tion based on time-series features and LightGBM.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Greenhouse temperature predic- tion based on time-series features and LightGBM

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.925592Z

Source-reported events for the cited work

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Observation 5038ba98-10fe-440c-8d42-4aa92aee18dd · outbound

This paper cites Ensemble selection from libraries of models.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Ensemble selection from libraries of models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.891288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b36ad39d-a0c7-4f51-a926-e63435195fb7 · outbound

This paper cites Chaturvedi and Isha Singh.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Chaturvedi and Isha Singh

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.869545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8af01cf6-446b-4860-a976-ee7af6851f20 · outbound

This paper cites XGBoost: A scalable tree boosting system.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting XGBoost: A scalable tree boosting system

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.843204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9cec8880-a0c3-4101-acbc-17f86abecb60 · outbound

This paper cites Sustainable llm serving: Environmental implications, challenges, and opportunities.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Sustainable llm serving: Environmental implications, challenges, and opportunities

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.823820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54a0d264-21ec-4cc3-8123-2356e9c712dd · outbound

This paper cites CatBoost: gradient boosting with categorical features support.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting CatBoost: gradient boosting with categorical features support

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:06.102237Z

Source-reported events for the cited work

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Observation 2e6c2613-a5a3-4547-8347-2daf20d7bab2 · outbound

This paper cites CatBoost: unbiased boosting with categorical features.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting CatBoost: unbiased boosting with categorical features

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:06.113558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eeeb4ef-15af-4afb-a7c6-4187d3cb7cc6 · outbound

This paper cites ENTSO-E transparency platform.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting ENTSO-E transparency platform

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.802441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ccb4a0d-f497-4a39-9ac6-8885bb47770c · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:06.128242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3644a6fe-60d4-4935-8481-a92fc4149990 · outbound

This paper cites LLMCarbon: Modeling the end-to-end carbon footprint of large language models.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting LLMCarbon: Modeling the end-to-end carbon footprint of large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:06.133370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c579394-2fd1-468d-a5a5-0faf120081a0 · outbound

This paper cites Experiments with a new boosting algorithm.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Experiments with a new boosting algorithm

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.766331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f6b05e94-3634-4940-bf10-34f8dfc39e4e · outbound

This paper cites ACT: Designing sustainable computer systems with an architectural carbon modeling tool.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting ACT: Designing sustainable computer systems with an architectural carbon modeling tool

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.746441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f6c8f93-6097-4354-93c2-1ec9ee4818c6 · outbound

This paper cites CarbonScaler: Leveraging cloud workload elasticity for optimizing carbon-efficiency.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting CarbonScaler: Leveraging cloud workload elasticity for optimizing carbon-efficiency

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.716618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59f4c77a-3827-4cb8-95af-74ef8437c88b · outbound

This paper cites Fastai: a layered api for deep learning.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Fastai: a layered api for deep learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.696206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9876eda-8ffa-4c37-a895-3818c92164da · outbound

This paper cites an unresolved cited work.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:10:06.674898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1d96e21-783d-4569-bd84-e10306b3f1ee · outbound

This paper cites LightGBM: A highly efficient gradient boosting decision tree.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting LightGBM: A highly efficient gradient boosting decision tree

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.650022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64d773d7-f04c-4163-802c-c199335d58e7 · outbound

This paper cites Uncertainty-aware decarbonization for data- centers.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Uncertainty-aware decarbonization for data- centers

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.618904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54016ca1-6376-4356-8ddd-45e07277398d · outbound

This paper cites Multi-day fore- casting of electric grid carbon intensity using machine learning.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Multi-day fore- casting of electric grid carbon intensity using machine learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.592658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0cb69f2d-1cb0-4270-a3b5-8787d5d33830 · outbound

This paper cites Multi-day forecast- ing of electric grid carbon intensity using machine learning.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Multi-day forecast- ing of electric grid carbon intensity using machine learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.569314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2db01dc4-a74c-4b8b-be4d-f115f5ad26a8 · outbound

This paper cites Towards sustainable large language model serving.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Towards sustainable large language model serving

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.543558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24393e18-df22-4301-abf5-020c328ca315 · outbound

This paper cites Scikit-learn: Machine learning in Python.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Scikit-learn: Machine learning in Python

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.525690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55ad0038-d790-4ca3-b6d8-e0719f502178 · outbound

This paper cites Multi-layer stacking ensemble learners for low footprint network intrusion detection.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Multi-layer stacking ensemble learners for low footprint network intrusion detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.502816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f8d2427-bd5f-4f4d-8901-6884022f0268 · outbound

This paper cites GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 31

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Source-reported events for the cited work

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Observation 4b62dda2-fd5e-4c82-91a8-1df591a475e5 · outbound

This paper cites CASPER: carbon-aware scheduling and provisioning for distributed web ser- vices.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting CASPER: carbon-aware scheduling and provisioning for distributed web ser- vices

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.475959Z

Source-reported events for the cited work

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Observation 25fb689b-2b45-4604-b91f-b5fa376377a7 · outbound

This paper cites an unresolved cited work.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Unresolved cited work

Reference 33

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Source-reported events for the cited work

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Observation fee8c1f5-037a-4a46-ae4e-b160fba40e5f · outbound

This paper cites Energy Information Administration.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Energy Information Administration

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.422279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cacc22dd-0c5a-4542-89c2-bc240d9507bb · outbound

This paper cites Carbon dioxide emissions from electric- ity.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Carbon dioxide emissions from electric- ity

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.400693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a932b4c-2dc8-4e72-b030-982a9c86167e · outbound

This paper cites Sustain- able AI: Environmental implications, challenges and opportunities.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Sustain- able AI: Environmental implications, challenges and opportunities

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:06.376626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ad3e2ad-d093-41b9-9e10-6ace3a788b42 · outbound

This paper cites Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:06.229366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.