Paper Citation Record · LEDGER

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.08526.

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

pith.paper-citation-record.v1
2412.08526 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:48:49.712385Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact0
verified fuzzy17
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a65da475-e332-44c6-a1ba-f048920849cf · outbound

This paper cites Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.108853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78e0a7b6-3a52-46c1-93c7-002eebd7c02f · outbound

This paper cites DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.180830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 739545d4-14fe-4a4d-b423-3ab8cae4b4ce · outbound

This paper cites Random search for hyper-parameter optimization.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Random search for hyper-parameter optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.253509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d896c5-f90f-4683-a134-0a86de4a0613 · outbound

This paper cites Algorithms for hyper-parameter optimization.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Algorithms for hyper-parameter optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.259092Z

Source-reported events for the cited work

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Observation a8519998-dd87-4564-b5ee-3f0301f7ad5b · outbound

This paper cites Hyperopt: A python library for optimizing the hyperparameters of machine learning algorithms.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Hyperopt: A python library for optimizing the hyperparameters of machine learning algorithms

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.264406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87fd758-7732-40ff-81f9-a4ad585b5f4e · outbound

This paper cites Evolution strategies--a comprehensive introduction.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Evolution strategies--a comprehensive introduction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.149454Z

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 c0b05f7c-bd39-4a7f-8eb9-90bd1b9f559b · outbound

This paper cites Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.275186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0c6d46-da9c-4812-a4fe-295241f67e45 · outbound

This paper cites Hyper-parameter optimization for convolutional neural network committees based on evolutionary algorithms.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Hyper-parameter optimization for convolutional neural network committees based on evolutionary algorithms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.133039Z

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 83a424b9-f619-4f17-87a6-90fe51ded3f2 · outbound

This paper cites Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.119401Z

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 61aedc8c-a450-4196-bbd6-9b4bf916d6ad · outbound

This paper cites Cloud carbon footprint.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Cloud carbon footprint

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.103749Z

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 e5c9b6a1-ef1d-4c5c-a004-6acbdca4b393 · outbound

This paper cites Code carbon.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Code carbon

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.088669Z

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 58e3a3e2-8222-4eed-bbed-6ff5bf87fdb4 · outbound

This paper cites The power of training: How different neural network setups influence the energy demand.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization The power of training: How different neural network setups influence the energy demand

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.074425Z

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 74d9ba04-533f-4040-8d19-1570e691e7cf · outbound

This paper cites Control batch size and learning rate to generalize well: Theoretical and empirical evidence.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Control batch size and learning rate to generalize well: Theoretical and empirical evidence

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.059048Z

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 f1fa5960-307e-4c1d-a825-8c7b52f537cb · outbound

This paper cites Towards the systematic reporting of the energy and carbon footprints of machine learning.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Towards the systematic reporting of the energy and carbon footprints of machine learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.045238Z

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 607a18d0-f393-471e-a046-484399dd6b33 · outbound

This paper cites Hyp-RL : Hyperparameter Optimization by Reinforcement Learning.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Hyp-RL : Hyperparameter Optimization by Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.416309Z

Source-reported events for the cited work

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Observation 90240494-1df3-4fda-9732-cb8e9d7ff9cc · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Quantifying the Carbon Emissions of Machine Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.470887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0196ced-a88b-4f28-8d4f-5ab89364cb10 · outbound

This paper cites Green algorithms: quantifying the carbon footprint of computation.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Green algorithms: quantifying the carbon footprint of computation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.028892Z

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 bfa21d38-159f-47b4-9dd4-6cf29708d7bc · outbound

This paper cites Gradient-based learning applied to document recognition.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Gradient-based learning applied to document recognition

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.504720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 709b83cc-2465-4b99-aeeb-ff0f9bf7c45f · outbound

This paper cites Improving multi-fidelity optimization with a recurring learning rate for hyperparameter tuning.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Improving multi-fidelity optimization with a recurring learning rate for hyperparameter tuning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:50.003928Z

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 8ebe931d-e967-473e-bca2-d49f704d9ae2 · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Hyperband: A novel bandit-based approach to hyperparameter optimization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.514666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6280390-b990-48cd-ae6a-e6f5d9a7dbbc · outbound

This paper cites A system for massively parallel hyperparameter tuning.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization A system for massively parallel hyperparameter tuning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:49.978975Z

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 cc695e88-b849-4688-a045-e5b52d191ca4 · outbound

This paper cites A survey of methods for analyzing and improving gpu energy efficiency.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization A survey of methods for analyzing and improving gpu energy efficiency

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:49.963286Z

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 c4a48f33-5f98-40cd-a67c-4a5a817ee913 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Pytorch: An imperative style, high-performance deep learning library

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:49.949151Z

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 8b4c32ff-8a7a-4eed-ab39-5acdcb009dc1 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Carbon Emissions and Large Neural Network Training

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.674480Z

Source-reported events for the cited work

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Observation 6339949e-50a6-4ef0-aca6-efbb9faef79b · outbound

This paper cites Cyclical learning rates for training neural networks.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Cyclical learning rates for training neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:49.931872Z

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 d93d9d62-f7ae-4771-85a9-ec5964fc4a4c · outbound

This paper cites A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.686467Z

Source-reported events for the cited work

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Observation 8792fc10-1f5e-454f-a378-014fad0ba473 · outbound

This paper cites Practical bayesian optimization of machine learning algorithms.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Practical bayesian optimization of machine learning algorithms

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.691883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7367ee74-f1bd-41ba-bbab-9a66d1350db9 · outbound

This paper cites Supervising the multi-fidelity race of hyperparameter configurations.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Supervising the multi-fidelity race of hyperparameter configurations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:49.905150Z

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 e4fcd618-aa63-4605-8d00-fec3919f7dbf · outbound

This paper cites Hyperparameter optimization through context-based meta-reinforcement learning with task-aware representation.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Hyperparameter optimization through context-based meta-reinforcement learning with task-aware representation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:49.888866Z

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 032ac3cc-f21c-4a54-84c1-524e2c799efe · outbound

This paper cites Zeus: Understanding and optimizing \ GPU \ energy consumption of \ DNN \ training.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization Zeus: Understanding and optimizing \ GPU \ energy consumption of \ DNN \ training

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:48:49.873639Z

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 e2d99835-f8e9-4895-b518-6e991f00a243 · outbound

This paper cites write newline.

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization write newline

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:49.712385Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.