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Paper Citation Record · LEDGER

Foxtsage vs. Adam: Revolution or Evolution in Optimization?

As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.17855.

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

pith.paper-citation-record.v1
2412.17855 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:24:55.670028Z

measured 61 of 61 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

61 of 61 outbound references displayed

  • verified exact26
  • verified fuzzy10
  • unresolved19
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f4416fe-97aa-4261-b447-41a98dc19ce6 · outbound

This paper cites Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process

Reference 1

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Observation c4182aeb-46c8-4bbd-a455-a3f313a00f34 · outbound

This paper cites Mode Choice Behavior of High School Goers: Evaluating Logistic Regression and MLP Neural Networks.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Mode Choice Behavior of High School Goers: Evaluating Logistic Regression and MLP Neural Networks

Reference 2

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doi, observed 2026-08-11T11:24:56.021435Z

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

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Observation 840e2ef7-9307-4a26-9b08-9ca9ad69e867 · outbound

This paper cites FOX -TSA: Navigating Complex Search Spaces and Superior Performance in Benchmark and Real -World Optimization Problems.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? FOX -TSA: Navigating Complex Search Spaces and Superior Performance in Benchmark and Real -World Optimization Problems

Reference 3

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source=pdf_text observed=2026-08-11T11:24:55.464179Z digest=sha256:30a3f96af5657812812476945ef03d882264c2ddfa04490b7ca5d99666e5429a

Observation 14c3c671-569f-4e55-bdf4-d96eaaa2825e · outbound

This paper cites FOX -TSA Hybrid Algorithm: Advancing for Superior Predictive Accuracy in Tourism-Driven Multi-Layer Perceptron Models.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? FOX -TSA Hybrid Algorithm: Advancing for Superior Predictive Accuracy in Tourism-Driven Multi-Layer Perceptron Models

Reference 4

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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.

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Observation 93ca12fb-0489-4206-a082-8c28fa6ac0b6 · outbound

This paper cites A Novel Adaptive Momentum Method for Medical Image Classification Using Convolutional Neural Network.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Novel Adaptive Momentum Method for Medical Image Classification Using Convolutional Neural Network

Reference 5

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Observation 77e3c479-d817-4e8f-b8c9-554fbcb19ab0 · outbound

This paper cites Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypt ed Data with GPUs.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypt ed Data with GPUs

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:24:55.475209Z digest=sha256:18f8a29f215d12607bfc6fa9f008ede338e64d780a97fd217f4ed6d14f900b54

Observation fb3f38b5-32a5-4e21-bbe9-a52a004294f7 · outbound

This paper cites Lessons from the Evolutionary Computation Bestiary.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Lessons from the Evolutionary Computation Bestiary

Reference 7

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Observation e149bcd6-3570-435c-8c61-1072c27d6fc0 · outbound

This paper cites Fish Detection Using Deep Learning.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Fish Detection Using Deep Learning

Reference 8

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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.

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Observation fe084862-f4a1-4fae-ae52-ba3cc89610c6 · outbound

This paper cites On the Convergence of Adam and Adagrad.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? On the Convergence of Adam and Adagrad

Reference 9

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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.

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Observation 78de8db0-cd02-4ab0-987a-e9d22d94e376 · outbound

This paper cites Comparative Analysis of Optimizers in Deep Neural Networks.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Comparative Analysis of Optimizers in Deep Neural Networks

Reference 10

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

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Observation e449de70-4d2c-4287-99e9-f8d9ddbce476 · outbound

This paper cites Convergence Guarantees for RMSProp and ADAM in Non-Convex Optimization and an Empirical Comparison to Nesterov Acceleration.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Convergence Guarantees for RMSProp and ADAM in Non-Convex Optimization and an Empirical Comparison to Nesterov Acceleration

Reference 11

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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.

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Observation 6bf5b614-0846-42c6-8a8c-b929aa3c8689 · outbound

This paper cites Intelligent Computer -Aided Model for Efficient Diagnosis of Digital Breast Tomosynthesis 3D Imaging Using Deep Learning.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Intelligent Computer -Aided Model for Efficient Diagnosis of Digital Breast Tomosynthesis 3D Imaging Using Deep Learning

Reference 12

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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.

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Observation 582d9030-2f0e-4c8c-8150-e41ad51b7e79 · outbound

This paper cites Multimodal Multi-Objective Football Game Algorithm for Optimizing Test Task Scheduling Problems.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Multimodal Multi-Objective Football Game Algorithm for Optimizing Test Task Scheduling Problems

Reference 13

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Source-reported events for the cited work

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Observation 3dc31d57-ba6d-4b24-9da3-b5cb36aff7f9 · outbound

This paper cites A Hybrid Method for Recommendation Systems Based on Tourism with an Evolutionary Algorithm and Topsis Model.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Hybrid Method for Recommendation Systems Based on Tourism with an Evolutionary Algorithm and Topsis Model

Reference 14

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Observation 7707858a-82ce-4744-b403-1a21910935fd · outbound

This paper cites Advances in Tree Seed Algorithm: A Comprehensive Survey.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Advances in Tree Seed Algorithm: A Comprehensive Survey

Reference 15

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Observation ad36fb77-85d5-433b-82a3-c2a46ddd1efa · outbound

This paper cites Cross -Domain Object Detection Based Foggy Image Enhancement.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Cross -Domain Object Detection Based Foggy Image Enhancement

Reference 16

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doi, observed 2026-08-11T11:24:55.966208Z

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.

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Observation fc104757-85c4-4b92-adf1-312099e84ab1 · outbound

This paper cites An Efficient Optimization Approach for Designing Machine Learning Models Based on Genetic Algorithm.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? An Efficient Optimization Approach for Designing Machine Learning Models Based on Genetic Algorithm

Reference 17

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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.

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Observation c8748400-4791-4ea2-aaa4-bd0ca6125baf · outbound

This paper cites A Pilot Study on the Feasibility of Using P -Plots for Signal Detection in Pharmacovigilance.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Pilot Study on the Feasibility of Using P -Plots for Signal Detection in Pharmacovigilance

Reference 18

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raw_fallback, observed 2026-08-11T11:24:56.827693Z

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.

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Observation 14a1fb3d-a457-4bd5-a77c-d4ceaa02483b · outbound

This paper cites Ensemble Learning in CNN Augmented with Fully Connected Subnetworks.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Ensemble Learning in CNN Augmented with Fully Connected Subnetworks

Reference 19

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doi, observed 2026-08-11T11:24:55.944619Z

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.

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Observation 1778fa83-46eb-417e-84ae-f88575457a5f · outbound

This paper cites The Usefulness of Socio-Demographic Variables in Predicting Purchase Decisions: Evidence from Machine Learning Procedures.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? The Usefulness of Socio-Demographic Variables in Predicting Purchase Decisions: Evidence from Machine Learning Procedures

Reference 20

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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.

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Observation d162b670-35e5-4c99-9cf5-787e63ed30bc · outbound

This paper cites A Review on Genetic Algorithm: Past, Present, and Future.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Review on Genetic Algorithm: Past, Present, and Future

Reference 21

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Observation 5cd0cfa3-09d4-4b8a-a57a-ab70b2945533 · outbound

This paper cites Chaotic Whale Optimization Algorithm.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Chaotic Whale Optimization Algorithm

Reference 22

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

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Observation 99cbe940-881c-40a3-b9fe-3bf4d54cfaa3 · outbound

This paper cites Particle Swarm Optimization.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Particle Swarm Optimization

Reference 23

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Source-reported events for the cited work

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Observation 17a8efa1-fac9-40fb-89ad-5c353af3e4cc · outbound

This paper cites A Comparative Study of Series Arima/Mlp Hybrid Models for Stock Price Forecasting.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Comparative Study of Series Arima/Mlp Hybrid Models for Stock Price Forecasting

Reference 24

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Observation 8797b6a9-c104-4b94-9394-d32c6169b801 · outbound

This paper cites CBR Prediction of Pavement Materials in Unsoaked Condition Using LSSVM, LSTM -RNN, and ANN Approaches.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? CBR Prediction of Pavement Materials in Unsoaked Condition Using LSSVM, LSTM -RNN, and ANN Approaches

Reference 25

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

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Observation f552e43d-22b2-4869-9f88-62768e10b9da · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Adam: A Method for Stochastic Optimization

Reference 26

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Unavailable: canonical work link unavailable.

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Observation ace0200f-125a-4c1c-9899-318c6f2000a3 · outbound

This paper cites TSA: Tree -Seed Algorithm for Continuous Optimization.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? TSA: Tree -Seed Algorithm for Continuous Optimization

Reference 27

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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.

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Observation fbd2be60-8b58-4b60-ac93-738fac6d1199 · outbound

This paper cites Power Line Recognition Method via Fully Convolutional Network.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Power Line Recognition Method via Fully Convolutional Network

Reference 28

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doi, observed 2026-08-11T11:24:55.881788Z

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.

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Observation bc89b8d4-0469-4fec-99c8-1006f1aae811 · outbound

This paper cites Learning Rate Optimization in Convolutional Neural Networks for Medical Images Classification.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Learning Rate Optimization in Convolutional Neural Networks for Medical Images Classification

Reference 29

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raw_fallback, observed 2026-08-11T11:24:57.291339Z

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.

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Observation 94b423a4-8226-440a-b162-a46fb5584739 · outbound

This paper cites Gaussian Process Regression -Based Learning Rate Optimization in Convolutional Neural Networks for Medical Images Classification.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Gaussian Process Regression -Based Learning Rate Optimization in Convolutional Neural Networks for Medical Images Classification

Reference 30

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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.

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Observation a5188a23-f484-4db0-8838-4e48e668ab69 · outbound

This paper cites CAME: Confidence -Guided Adaptive Memory Efficient Optimization.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? CAME: Confidence -Guided Adaptive Memory Efficient Optimization

Reference 31

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doi, observed 2026-08-11T11:24:55.870018Z

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.

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Observation 09f1d713-1594-432d-a7f4-241fe881ee81 · outbound

This paper cites Surrogate Model for Deviation Angle and Total Pressure Loss Prediction of Compressor Based on Machine Learning Methods.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Surrogate Model for Deviation Angle and Total Pressure Loss Prediction of Compressor Based on Machine Learning Methods

Reference 32

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doi, observed 2026-08-11T11:24:55.857953Z

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.

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Observation eb30caad-77e3-4319-b1c8-7bd518d76634 · outbound

This paper cites A Variational Analysis of Stochastic Gradient Algorithms.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Variational Analysis of Stochastic Gradient Algorithms

Reference 33

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raw_fallback, observed 2026-08-11T11:24:57.281577Z

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.

source=pdf_text observed=2026-08-11T11:24:55.567878Z digest=sha256:98a7c5cd74fddebf80e165976b2ebb87100f10d62265bca3eef5faa48b27ffab

Observation 656dea61-c021-4c9c-bd07-9f6977389083 · outbound

This paper cites Stochastic Gradient Descent as Approximate Bayesian Inference.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Stochastic Gradient Descent as Approximate Bayesian Inference

Reference 34

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

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Observation fc423ff0-47f2-4cc9-9a05-e149c44c271f · outbound

This paper cites Artificial Neural Networks for the Prediction of Monkeypox Outbreak.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Artificial Neural Networks for the Prediction of Monkeypox Outbreak

Reference 35

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doi, observed 2026-08-11T11:24:55.846617Z

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.

source=pdf_text observed=2026-08-11T11:24:55.574368Z digest=sha256:9afe92a3dd7e961db262672a2c3e183fdca3f23fb89ef46497025bff0bbcb9b7

Observation 2ab6aca3-8899-44c5-a30b-6f6e3c14a051 · outbound

This paper cites An Efficient Optimization Technique for Training Deep Neural Networks.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? An Efficient Optimization Technique for Training Deep Neural Networks

Reference 36

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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.

source=pdf_text observed=2026-08-11T11:24:55.578063Z digest=sha256:c96b7daeb503d8b10788dba759134d6569fcde0759b599f859615b09fad90eba

Observation 1209f371-f3bd-47af-9b34-ee35f8363be5 · outbound

This paper cites Grey Wolf Optimizer.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Grey Wolf Optimizer

Reference 37

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no resolver link, observed 2026-08-11T11:24:55.581386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.581386Z digest=sha256:89320febfd41c57232f7537106bcd9f36e0e6862233768f81a480144fbc98d00

Observation c290d902-5455-4e83-8bf9-32d4ea6973a8 · outbound

This paper cites FOX: A FOX -Inspired Optimization Algorithm.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? FOX: A FOX -Inspired Optimization Algorithm

Reference 38

Resolution
verified exact
doi, observed 2026-08-11T11:24:55.819591Z

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.

source=pdf_text observed=2026-08-11T11:24:55.584566Z digest=sha256:cf2d2a971ab3f76041a9f3812f711dbd137337a8f19ef2da4e34415e749125ed

Observation 15f97459-1e67-49ec-966d-0c199166c46d · outbound

This paper cites A Chaotic Multi -Objective Runge -Kutta Optimization Algorithm for Optimized Circuit Design.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Chaotic Multi -Objective Runge -Kutta Optimization Algorithm for Optimized Circuit Design

Reference 39

Resolution
verified exact
doi, observed 2026-08-11T11:24:55.808282Z

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.

source=pdf_text observed=2026-08-11T11:24:55.588116Z digest=sha256:457ec49da7db22f113b6ca6895b77312ef72f421df12b9fab51ddb4502ba0b2b

Observation 71a75e61-a4fa-416d-8def-49ca5f843e0f · outbound

This paper cites Ana: Ant Nesting Algorithm for Optimizing Real-World Problems.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Ana: Ant Nesting Algorithm for Optimizing Real-World Problems

Reference 40

Resolution
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doi, observed 2026-08-11T11:24:55.797104Z

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.

source=pdf_text observed=2026-08-11T11:24:55.591503Z digest=sha256:5b46de9774f294bf72d3ffe251549efbed392413c594932fea51c25ac97f79c8

Observation fde10638-413c-4a57-a88b-14c03066b389 · outbound

This paper cites A Modified Adam Algorithm for Deep Neural Network Optimization.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Modified Adam Algorithm for Deep Neural Network Optimization

Reference 41

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no resolver link, observed 2026-08-11T11:24:55.594915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.594915Z digest=sha256:83618b165333fbb6b7154bfd9eb688e02d1ec5f6826385788dbe2e7df9db9a0a

Observation 09ef9a0f-268d-4d46-8e49-732099dfb3a3 · outbound

This paper cites An overview of gradient descent optimization algorithms.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? An overview of gradient descent optimization algorithms

Reference 42

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no resolver link, observed 2026-08-11T11:24:55.598495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.598495Z digest=sha256:99b74bf3b6ec56d9b304d1d59ffbdefada5adc5f9c1aeb91af8bb775806887b1

Observation dd9c0e34-3823-436a-adb4-89f2398caf06 · outbound

This paper cites An Effective Learning Rate Scheduler for Stochastic Gradient Descent- Based Deep Learning Model in Healthcare Diagnosis System.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? An Effective Learning Rate Scheduler for Stochastic Gradient Descent- Based Deep Learning Model in Healthcare Diagnosis System

Reference 43

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raw_fallback, observed 2026-08-11T11:24:56.510644Z

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.

source=pdf_text observed=2026-08-11T11:24:55.602377Z digest=sha256:5c10846ded32955ee449f5262205b1c1b473ec4cf059e28f1ecacd0aa7d17949

Observation c079494a-576c-451f-84fe-008c1718a9d4 · outbound

This paper cites Training Algorithm Matters for the Performance of Neural Network Potential: Supplementary.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Training Algorithm Matters for the Performance of Neural Network Potential: Supplementary

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:24:57.261536Z

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.

source=pdf_text observed=2026-08-11T11:24:55.605654Z digest=sha256:ce824e7e5e4fa259451e5b2547d20f75b253d4c7d4f528c45944a7073ad0c79e

Observation 3f2e7d46-8df9-4f75-bd9e-af1ed8d269c1 · outbound

This paper cites Guided Stochastic Gradient Descent Algorithm for Inconsistent Datasets.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Guided Stochastic Gradient Descent Algorithm for Inconsistent Datasets

Reference 45

Resolution
verified exact
doi, observed 2026-08-11T11:24:55.776139Z

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.

source=pdf_text observed=2026-08-11T11:24:55.609061Z digest=sha256:3e10842cc2b0150ad5c2efc51ab6ad2601608fea84232bf62a8f835e24d5e2bb

Observation 37f01e58-bdb0-44ce-b76d-9901d53226e5 · outbound

This paper cites Review of Deep Learning Algorithms and Architectures.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Review of Deep Learning Algorithms and Architectures

Reference 46

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no resolver link, observed 2026-08-11T11:24:55.612636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.612636Z digest=sha256:286b7af6775b2e046cfb49ac5360f5a26aa23e2d1d0255c1b597a30114114521

Observation 6e0a8c9e-69dd-4866-8c54-e7c436b0a72a · outbound

This paper cites Don’t Decay the Learning Rate, Increase the Batch Size.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Don’t Decay the Learning Rate, Increase the Batch Size

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:24:57.251190Z

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.

source=pdf_text observed=2026-08-11T11:24:55.616498Z digest=sha256:a8a49646c52c76f588bb0ce2c2e7a91ebde11af5a6500b1d9523058ab445cedc

Observation f2970b10-0d62-40a4-b275-706df7131d96 · outbound

This paper cites A Comparison of Optimization Algorithms for Deep Learning.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? A Comparison of Optimization Algorithms for Deep Learning

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:24:56.389229Z

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.

source=pdf_text observed=2026-08-11T11:24:55.619779Z digest=sha256:9460ac9d1336df4f71e4670a86b22601aac95a658b40932605bc173811842ae9

Observation 3894f698-5b2d-47d0-880f-2c5b94bbeaa4 · outbound

This paper cites Automated Requirement Prioritisation Technique Using an Updated Adam Optimisation Algorithm.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Automated Requirement Prioritisation Technique Using an Updated Adam Optimisation Algorithm

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:24:57.241205Z

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.

source=pdf_text observed=2026-08-11T11:24:55.624443Z digest=sha256:ed03a7ad3d063794d53af63a3a45cd5fc93faf94417c5a9e45bce6515a72affb

Observation 361b1176-9e1c-41d3-afcd-fc4a0eca0b80 · outbound

This paper cites Dynamic Group Optimisation Algorithm for Training Feed -Forward Neural Networks.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Dynamic Group Optimisation Algorithm for Training Feed -Forward Neural Networks

Reference 50

Resolution
verified exact
doi, observed 2026-08-11T11:24:55.764426Z

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.

source=pdf_text observed=2026-08-11T11:24:55.628242Z digest=sha256:871d4954a2389fd8af7d7d99a3a2ff1f6371259161a3c5928e15f757f2f14d3d

Observation 19d0c354-85dc-4fbf-9021-3ed1b5ae560b · outbound

This paper cites MVI and Forecast Precision Upgrade of Time Series Precipitation Information for Ubiquitous Computing.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? MVI and Forecast Precision Upgrade of Time Series Precipitation Information for Ubiquitous Computing

Reference 51

Resolution
verified exact
doi, observed 2026-08-11T11:24:55.753208Z

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.

source=pdf_text observed=2026-08-11T11:24:55.632338Z digest=sha256:2edc911098f130e194e7ddbc26791cf08bb8134364b7146c7dd57fe5783c0bb1

Observation afa62831-bea9-4e6c-aa6f-91b14ae53c06 · outbound

This paper cites An Efficient and Effective Second -Order Training Algorithm for LSTM -Based Adaptive Learning.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? An Efficient and Effective Second -Order Training Algorithm for LSTM -Based Adaptive Learning

Reference 52

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no resolver link, observed 2026-08-11T11:24:55.635925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.635925Z digest=sha256:d05e3f1dddad5cfe16d5f64e49a568ba779f37266458fe3f8f9022bfac28fa19

Observation f219d65c-7c92-497f-8ee3-c0698ff2b848 · outbound

This paper cites Survey of Digital Image Watermarking Optimization Based on Nature Inspired Algorithms NIAs.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Survey of Digital Image Watermarking Optimization Based on Nature Inspired Algorithms NIAs

Reference 53

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doi, observed 2026-08-11T11:24:55.741206Z

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.

source=pdf_text observed=2026-08-11T11:24:55.639353Z digest=sha256:325e459656bd0410e787275c7fe4cf4a5891d93a44b315ba54d662725a1adffe

Observation c1687bd3-7443-4604-b3f3-98063c59f24d · outbound

This paper cites Topological Measurement of Deep Neural Networks Using Persistent Homology.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Topological Measurement of Deep Neural Networks Using Persistent Homology

Reference 54

Resolution
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doi_truncated, observed 2026-08-11T11:24:55.729060Z

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.

source=pdf_text observed=2026-08-11T11:24:55.643542Z digest=sha256:c3394303ce454e3986981db49b3f7dbe37af5deb3e8be6591026d4dc7cbf39a3

Observation 381a1dbd-e195-4187-9e1d-c3891286f645 · outbound

This paper cites DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling

Reference 55

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unresolved
no resolver link, observed 2026-08-11T11:24:55.647077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.647077Z digest=sha256:ffefe175c195a24aded907cbac879a8044f66a4f6eca53a3263317ffff4810d2

Observation aac06e5c-3a17-47fb-918f-fd621e359502 · outbound

This paper cites DIRECTION MATTERS: ON THE IMPLICIT BIAS OF STOCHASTIC GRADIENT DESCENT WITH MODERATE LEARNING RATE.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? DIRECTION MATTERS: ON THE IMPLICIT BIAS OF STOCHASTIC GRADIENT DESCENT WITH MODERATE LEARNING RATE

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:24:57.231223Z

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.

source=pdf_text observed=2026-08-11T11:24:55.650688Z digest=sha256:be38d32882cdfd32cd61daf74c90d8978141a5299104206501ad1a9b9b237aee

Observation 6b9e6eeb-4f9d-4fba-955d-da207a152bf6 · outbound

This paper cites On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T11:24:55.654955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.654955Z digest=sha256:5348a9297e515e15f54a70d2556d4909c51664e995a115efd2eec9f5f8fadf9b

Observation cd424cfa-34ea-4adc-86bc-1cb3f313c113 · outbound

This paper cites An Improved CNN Model for Fast Salient Object Detection.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? An Improved CNN Model for Fast Salient Object Detection

Reference 58

Resolution
malformed identifier
no resolver link, observed 2026-08-11T11:24:55.658824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.658824Z digest=sha256:ebd42f952655130ab5f0f61354f678ab83215bdac349e036b0cdc1d00d9b75ba

Observation 79ad3829-1534-4fef-8a39-667640bb3330 · outbound

This paper cites Hartley Spectral Pooling for Deep Learning.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Hartley Spectral Pooling for Deep Learning

Reference 59

Resolution
verified exact
doi, observed 2026-08-11T11:24:55.703882Z

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.

source=pdf_text observed=2026-08-11T11:24:55.662918Z digest=sha256:54c0a11bf93b36004c9f2969e32e4df84e348580c97289d2d705735a26058d83

Observation 81021e32-dba6-43ba-905f-78387946bda6 · outbound

This paper cites Deconstructing What Makes a Good Optimizer for Language Models.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Deconstructing What Makes a Good Optimizer for Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T11:24:55.666231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:24:55.666231Z digest=sha256:3429738c9fd787174c1cfd07726d3ffe9e0931a1b40bdfbdb02fa708ecfeef3b

Observation 8eef0b78-c750-482d-a950-c22faa2cab7a · outbound

This paper cites Carbon Price Forecasting Based on CEEMDAN and LSTM.

Foxtsage vs. Adam: Revolution or Evolution in Optimization? Carbon Price Forecasting Based on CEEMDAN and LSTM

Reference 61

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T11:24:56.213785Z

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.

source=pdf_text observed=2026-08-11T11:24:55.670028Z digest=sha256:3e43c237e98b632cefa06fb67600700f59e19af81547ad68b397a9ce99546bf2

Pith citing papers

No inbound Pith citation observations are available.