Paper Citation Record · LEDGER

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.21749.

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

pith.paper-citation-record.v1
2507.21749 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:28:46.227120Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

52 of 52 outbound references displayed

verified exact14
verified fuzzy4
unresolved31
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c237d34-2c2b-430c-9352-4e16e8192f67 · outbound

This paper cites write newline.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:54.689555Z

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Observation 33aee6b8-8e6b-4400-b6b6-22e6471db029 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T12:28:48.906184Z

Source-reported events for the cited work

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Observation ff81004d-ab37-41c5-96c1-eccc5122a247 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 3

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Observation d21e8900-c8ca-4191-90b4-0836ffe7a5d1 · outbound

This paper cites W., & Zhao, S.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification W., & Zhao, S

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T12:28:48.752423Z

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Observation 80e20034-e54a-4fd9-845f-df9ff895e08f · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 5

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation d9d03219-edf8-45d0-9d20-bd426c6306ef · outbound

This paper cites P., Selman, B., & Weinberger, K.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification P., Selman, B., & Weinberger, K

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:28:50.190152Z

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Observation b31d7304-46b0-436a-a7e8-4f5936597bc9 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation c5f779a5-1fe9-4514-bef3-84471bf33265 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T12:28:48.638754Z

Source-reported events for the cited work

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Observation b1b7fbb5-ca72-4caf-9cd3-0da6bfc60d67 · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 10

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Source-reported events for the cited work

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Observation d6401580-dc6c-4be7-b747-f89a33171cb3 · outbound

This paper cites Z., & Hong, M.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Z., & Hong, M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:53.576629Z

Source-reported events for the cited work

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Observation b1e02308-aae0-4624-8f9c-3e3e2427f01d · outbound

This paper cites cuDNN: Efficient Primitives for Deep Learning.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification cuDNN: Efficient Primitives for Deep Learning

Reference 12

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Source-reported events for the cited work

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Observation 2a0b3dac-844a-4bc6-9c5c-67ff423d01e2 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 769897b3-697e-4d95-963b-41d86384f150 · outbound

This paper cites The State of Sparsity in Deep Neural Networks.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification The State of Sparsity in Deep Neural Networks

Reference 14

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Source-reported events for the cited work

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Observation 7b31378f-7034-48d3-b063-0ed4facdf7a7 · outbound

This paper cites On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:40.819102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f091660-f2ac-4a8b-a30f-ba99e1e804c2 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 14767382-864f-42f0-9471-d04018ee12b5 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 17

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Source-reported events for the cited work

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Observation e28b247c-34d4-44c4-8f23-bab80a9d5303 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation f6664b0b-c659-4c58-bf99-203e1150bce3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Adam: A Method for Stochastic Optimization

Reference 19

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Source-reported events for the cited work

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Observation 0c5f0b79-01d2-44e3-ba61-0f7ed8ee9bef · outbound

This paper cites & Hinton, G.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification & Hinton, G

Reference 20

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Observation f9131fb7-64be-47c7-acb7-acf1a677c1a5 · outbound

This paper cites E., Likas, A., & Fotiadis, D.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification E., Likas, A., & Fotiadis, D

Reference 21

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 22

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Observation c5be8413-714c-4983-a2c4-4f8472b345c4 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-06T12:28:48.468483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 926ac6df-e01e-4e7d-8c01-8a97c2865fe5 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-06T12:28:48.202183Z

Source-reported events for the cited work

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Observation baa989bd-c063-468f-b6ad-8b9df202b558 · outbound

This paper cites An Exponential Learning Rate Schedule for Deep Learning.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification An Exponential Learning Rate Schedule for Deep Learning

Reference 25

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Observation 370475d6-012a-445a-910e-29e11c94f7c9 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T12:28:47.919145Z

Source-reported events for the cited work

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Observation 8bfb9b5c-8020-4775-8f57-d0e433904533 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:42.639308Z

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Observation 0021d8b9-7cd3-41f2-8698-9f786d74a545 · outbound

This paper cites D., Vrahatis, M.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification D., Vrahatis, M

Reference 28

Resolution: verified exact; doi, observed 2026-08-06T12:28:47.653706Z

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Observation 0709dafb-e8f4-4538-a3b7-654533c215f0 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Mixed Precision Training

Reference 29

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Observation 67210080-b291-484a-befa-a970a6244d99 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 30

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Observation 793fc15f-49ec-4332-98da-3b470bbcc16b · outbound

This paper cites V., Bartakke, P.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification V., Bartakke, P

Reference 31

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Observation c57d56aa-9d5a-48c3-a7a6-97ec567534d4 · outbound

This paper cites The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions

Reference 32

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Observation f5047d22-f96b-4c6d-a15f-bb0be02a6b65 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 33

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Observation 410eefc3-b8f6-48d3-9a1d-114e490adf38 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 34

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Observation 24e7ca4f-dc09-4edb-8605-cfcd9046e43b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 35

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Observation 804b7d90-0a41-4e72-b981-6f6d8bb11494 · outbound

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

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Reference 36

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Source-reported events for the cited work

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Observation 07c1945a-6984-46c4-870e-1b168f451b18 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 37

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Observation 5d352ac1-ec48-4664-bedf-e3115a139b9a · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 38

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Observation 465dcfad-a65e-43ba-a745-0c023fc392a1 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 39

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification & Ghosh, P

Reference 40

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Observation cd08b379-e118-4655-8aab-3180b5ba94c5 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 41

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Observation 6445ff64-215e-499a-8191-4de8b6291c47 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 42

Resolution: verified exact; doi, observed 2026-08-06T12:28:47.054533Z

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Observation 78c6d5e9-6208-4bbd-965d-5b9e85777e69 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 43

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Large Batch Training of Convolutional Networks

Reference 44

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

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This paper cites Hyper-Parameter Optimization: A Review of Algorithms and Applications.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 46

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification & Sennrich, R

Reference 47

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Observation c6194ed8-0eee-45b2-a012-803fe122cbb0 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 48

Resolution: verified exact; doi, observed 2026-08-06T12:28:46.852692Z

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Observation 70bcaaeb-579c-439c-bc47-7717ff6d6070 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 49

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Observation e9f17eb2-814c-4dbc-8ad9-72af2a55c7b5 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 50

Resolution: verified exact; doi, observed 2026-08-06T12:28:46.648037Z

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Observation 9c75f94a-2c4c-4d0c-9bba-c37720010b31 · outbound

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Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

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Observation 32d4db16-846b-4a97-8544-e5261a92dfc7 · outbound

This paper cites an unresolved cited work.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Unresolved cited work

Reference 52

Resolution: verified exact; doi, observed 2026-08-06T12:28:46.437408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.