Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T21:09:54.557270Z
Paper Citation Record · LEDGER
Enhancing deep learning models for time series classification via knowledge distillation
As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.06796.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f6cb4ff1-da1c-4a99-822c-bc979002e717 · outbound
This paper cites International Joint Conference on Neural Networks (IJCNN).
Enhancing deep learning models for time series classification via knowledge distillation International Joint Conference on Neural Networks (IJCNN)
Reference 1
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Observation 908141ff-2a7b-4506-bb20-bfffe054bffe · outbound
This paper cites IEEE Trans Knowl Data Eng 270(9):2522–2535.
Enhancing deep learning models for time series classification via knowledge distillation IEEE Trans Knowl Data Eng 270(9):2522–2535
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation cccd4d20-a9ef-4c2e-8afd-c7ba58fa26c1 · outbound
This paper cites Data Min Knowl Disc 31:606–660.
Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 31:606–660
Reference 3
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Source-reported events for the cited work
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Observation 443519e1-b8e5-4248-8388-10c7871eb8cc · outbound
This paper cites Inf Sci 569:596–614.
Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 569:596–614
Reference 4
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Observation 1bcbb699-c16b-4c23-9892-0e76f3e14a2d · outbound
This paper cites IEEE Trans Pattern Anal Mach Intell 350(8):1798–1828.
Enhancing deep learning models for time series classification via knowledge distillation IEEE Trans Pattern Anal Mach Intell 350(8):1798–1828
Reference 5
- Resolution
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Observation cfa2f443-2cfe-4553-b435-1a2c543ed92b · outbound
This paper cites Inter- national Conference on Big Data Analytics and Knowledge Discovery.
Enhancing deep learning models for time series classification via knowledge distillation Inter- national Conference on Big Data Analytics and Knowledge Discovery
Reference 6
- Resolution
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Observation 63beaea3-9a28-4fc9-94bc-39d501a44b9f · outbound
This paper cites In: International conference on Knowledge discovery and data mining.
Enhancing deep learning models for time series classification via knowledge distillation In: International conference on Knowledge discovery and data mining
Reference 7
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Source-reported events for the cited work
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Observation c80d3bef-b888-4a81-8f77-8b7f00ac41c5 · outbound
This paper cites In: International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI).
Enhancing deep learning models for time series classification via knowledge distillation In: International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI)
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6ff22fb6-e8bd-4108-950a-821addc5b887 · outbound
This paper cites IEEE/CAA J Automatica Sinica 60(6):1293–1305.
Enhancing deep learning models for time series classification via knowledge distillation IEEE/CAA J Automatica Sinica 60(6):1293–1305
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation ea70a919-21ae-41e3-87d4-e45ecb9627ff · outbound
This paper cites Data Min Knowl Disc 340(5):1454–1495.
Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 340(5):1454–1495
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation 93726ed8-9512-4435-bcd6-d78f75ba7934 · outbound
This paper cites In: International Conference on Humanoid Robotics (Humanoids).
Enhancing deep learning models for time series classification via knowledge distillation In: International Conference on Humanoid Robotics (Humanoids)
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation f33665aa-272e-4d59-b32d-8cfe6bf27629 · outbound
This paper cites Improving Position Encoding of Transformers for Multivariate Time Series Classification.
Enhancing deep learning models for time series classification via knowledge distillation Improving Position Encoding of Transformers for Multivariate Time Series Classification
Reference 12
- Resolution
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Observation 0f82f7dd-94b7-41ab-842f-ce016c4849fb · outbound
This paper cites Inf Sci 613:184–203.
Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 613:184–203
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation d1071e12-e5b2-4914-8704-1eb6c7c663f5 · outbound
This paper cites Int J Comput Vision 129:1789–1819.
Enhancing deep learning models for time series classification via knowledge distillation Int J Comput Vision 129:1789–1819
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 12e5fff6-f2c8-4e6e-8d3a-4ea874b647e1 · outbound
This paper cites The Twelfth International Conference on Learning Representations.
Enhancing deep learning models for time series classification via knowledge distillation The Twelfth International Conference on Learning Representations
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation a2d0d423-dadf-401b-a0a7-636f5f7a4f8d · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Enhancing deep learning models for time series classification via knowledge distillation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 16
- Resolution
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Observation 7197e1e7-08b9-4c92-b989-5a3490ffcc35 · outbound
This paper cites Distilling the Knowledge in a Neural Network.
Enhancing deep learning models for time series classification via knowledge distillation Distilling the Knowledge in a Neural Network
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 247c8622-6e2e-43ab-bb52-2452dbcfb97c · outbound
This paper cites IEEE J Biomed Health Inform 260(1):423–435.
Enhancing deep learning models for time series classification via knowledge distillation IEEE J Biomed Health Inform 260(1):423–435
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 827b6ecf-8cb5-4712-affd-5bed897f9cf8 · outbound
This paper cites In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), pages 1–10.
Enhancing deep learning models for time series classification via knowledge distillation In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), pages 1–10
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation cde0250a-2c91-42b0-b911-ed6f8c81005b · outbound
This paper cites Data Min Knowl Disc 330(4):917–963.
Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 330(4):917–963
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation c2e4f1d7-db53-479f-b8da-984e9bd0a1f9 · outbound
This paper cites Data Min Knowl Disc 340(6):1936–1962.
Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 340(6):1936–1962
Reference 21
- Resolution
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Observation 62b497f4-6913-4d5d-b590-646470e4138e · outbound
This paper cites Data Min Knowl Disc 30:283–312.
Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 30:283–312
Reference 22
- Resolution
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Observation c8640ab5-2b05-4bfe-b103-71e12bc9187c · outbound
This paper cites Inf Sci 582:198–214.
Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 582:198–214
Reference 23
- Resolution
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Observation bdea4cbd-abe2-4f85-8ee0-dea0d48aee5d · outbound
This paper cites Inf Sci 547:592–608.
Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 547:592–608
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation dd115f1e-d208-4037-84e9-e9dd4d3e51ab · outbound
This paper cites Inf Sci 534:97–116.
Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 534:97–116
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 5ad13ece-953a-4a35-897c-240fe9f51d6c · outbound
This paper cites Data Min Knowl Disc 29:565–592.
Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 29:565–592
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation fb090a6e-9f20-4156-b6f4-635d97c1f3a5 · outbound
This paper cites International conference on data mining (ICDM) 123 215 Page 22 of 24 J.
Enhancing deep learning models for time series classification via knowledge distillation International conference on data mining (ICDM) 123 215 Page 22 of 24 J
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation a514aa18-14f7-4db3-b188-162195a4b710 · outbound
This paper cites Pattern Recogn 100:107122.
Enhancing deep learning models for time series classification via knowledge distillation Pattern Recogn 100:107122
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation fc3a4c92-e3db-4532-a865-d3f3ad56b1b6 · outbound
This paper cites In: International conference on artificial intelligence (AAAI).
Enhancing deep learning models for time series classification via knowledge distillation In: International conference on artificial intelligence (AAAI)
Reference 29
- Resolution
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Observation 30f5eb46-dde1-47d9-8078-8c9470a68395 · outbound
This paper cites Knowl Inf Syst 410(1):101–125.
Enhancing deep learning models for time series classification via knowledge distillation Knowl Inf Syst 410(1):101–125
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 1930f451-0ff0-4f4b-943e-726d73e6aafc · outbound
This paper cites International Joint Conference on Neural Networks (IJCNN).
Enhancing deep learning models for time series classification via knowledge distillation International Joint Conference on Neural Networks (IJCNN)
Reference 31
- Resolution
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Observation dff0fb10-65ff-4f30-ac13-fd4fc81fa9a0 · outbound
This paper cites Knowl Inf Syst 47:1–26.
Enhancing deep learning models for time series classification via knowledge distillation Knowl Inf Syst 47:1–26
Reference 32
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Source-reported events for the cited work
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Observation 5a4e1039-ed7e-432a-b197-f761ab133159 · outbound
This paper cites NPJ digital medicine 10(1):18.
Enhancing deep learning models for time series classification via knowledge distillation NPJ digital medicine 10(1):18
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation b634e78b-7c33-4880-a953-b2a955ad8e1f · outbound
This paper cites FitNets: Hints for Thin Deep Nets.
Enhancing deep learning models for time series classification via knowledge distillation FitNets: Hints for Thin Deep Nets
Reference 34
- Resolution
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Observation d52a34ba-90b9-4b93-98d5-ea7d8b6143d3 · outbound
This paper cites Data Min Knowl Disc 29:1505–1530.
Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 29:1505–1530
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 616e9a66-d3cf-4ad6-97aa-c87eed115b40 · outbound
This paper cites Knowledge Distillation in Document Retrieval.
Enhancing deep learning models for time series classification via knowledge distillation Knowledge Distillation in Document Retrieval
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation 55f7a977-46e9-4096-a08e-95778e262110 · outbound
This paper cites Patient Knowledge Distillation for BERT Model Compression.
Enhancing deep learning models for time series classification via knowledge distillation Patient Knowledge Distillation for BERT Model Compression
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation e4ea91ab-06af-4664-a392-9d1cd7947c87 · outbound
This paper cites In: International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Enhancing deep learning models for time series classification via knowledge distillation In: International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 153e4e86-6c48-4860-9231-846fd322a6dd · outbound
This paper cites Knowl Inf Syst 650(11):4967–5004.
Enhancing deep learning models for time series classification via knowledge distillation Knowl Inf Syst 650(11):4967–5004
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7d631cd1-c504-4986-9446-c840f4f93d8f · outbound
This paper cites Pattern Recogn 89:55–66.
Enhancing deep learning models for time series classification via knowledge distillation Pattern Recogn 89:55–66
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cccf95a4-cd9c-479d-b766-4c160b71a096 · outbound
This paper cites International joint conference on neural networks (IJCNN).
Enhancing deep learning models for time series classification via knowledge distillation International joint conference on neural networks (IJCNN)
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 94a01192-b888-4641-ae84-2d42ec15abf6 · outbound
This paper cites Pattern Recogn 111:0–107722.
Enhancing deep learning models for time series classification via knowledge distillation Pattern Recogn 111:0–107722
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 678dd3b7-9ec2-424d-b78f-0ac01a771b98 · outbound
This paper cites Neurocomputing 485:242–251.
Enhancing deep learning models for time series classification via knowledge distillation Neurocomputing 485:242–251
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6c1f3aa5-92ed-44f4-9a4a-8138c99818f0 · outbound
This paper cites Pattern Recogn 88:272–284.
Enhancing deep learning models for time series classification via knowledge distillation Pattern Recogn 88:272–284
Reference 44
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 49fe3a1d-12d2-42d8-adc4-c5a9a3042d90 · outbound
This paper cites A Survey on Knowledge Distillation of Large Language Models.
Enhancing deep learning models for time series classification via knowledge distillation A Survey on Knowledge Distillation of Large Language Models
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T21:17:35.900816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a4f7b7cf-b1ca-421d-858a-c48128ee1312 · outbound
This paper cites FITS: Modeling Time Series with $10k$ Parameters.
Enhancing deep learning models for time series classification via knowledge distillation FITS: Modeling Time Series with $10k$ Parameters
Reference 46
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T21:17:35.829738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a4e53903-8959-4f1d-a347-3927bbd5d2be · outbound
This paper cites Int J Inf Technol Decis Making 50(04):597–604.
Enhancing deep learning models for time series classification via knowledge distillation Int J Inf Technol Decis Making 50(04):597–604
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation abcac3ff-f6eb-48a1-96b8-a56752c7018c · outbound
This paper cites In International conference on computer vision and pattern recognition (CVPR).
Enhancing deep learning models for time series classification via knowledge distillation In International conference on computer vision and pattern recognition (CVPR)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T21:17:41.603712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ab85f4dd-b343-47e5-b551-97b56088cd1d · outbound
This paper cites an unresolved cited work.
Enhancing deep learning models for time series classification via knowledge distillation Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T21:17:41.619995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c5eb81fd-b7fc-4522-85b8-8c46e1c5aa49 · outbound
This paper cites Pattern Recogn 123:108385 Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Enhancing deep learning models for time series classification via knowledge distillation Pattern Recogn 123:108385 Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T21:17:41.586744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.