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Paper Citation Record · LEDGER

Enhancing deep learning models for time series classification via knowledge distillation

As of 14 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.

pith.paper-citation-record.v1
2607.06796 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T21:09:54.557270Z

measured 50 of 50 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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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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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

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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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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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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

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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

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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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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 330(4):917–963

Reference 20

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Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 340(6):1936–1962

Reference 21

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Observation 62b497f4-6913-4d5d-b590-646470e4138e · outbound

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Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 30:283–312

Reference 22

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Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 582:198–214

Reference 23

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Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 547:592–608

Reference 24

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Observation dd115f1e-d208-4037-84e9-e9dd4d3e51ab · outbound

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Enhancing deep learning models for time series classification via knowledge distillation Inf Sci 534:97–116

Reference 25

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Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 29:565–592

Reference 26

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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

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Enhancing deep learning models for time series classification via knowledge distillation Pattern Recogn 100:107122

Reference 28

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Enhancing deep learning models for time series classification via knowledge distillation In: International conference on artificial intelligence (AAAI)

Reference 29

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Observation 30f5eb46-dde1-47d9-8078-8c9470a68395 · outbound

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Enhancing deep learning models for time series classification via knowledge distillation Knowl Inf Syst 410(1):101–125

Reference 30

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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

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Enhancing deep learning models for time series classification via knowledge distillation Knowl Inf Syst 47:1–26

Reference 32

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Enhancing deep learning models for time series classification via knowledge distillation NPJ digital medicine 10(1):18

Reference 33

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Observation b634e78b-7c33-4880-a953-b2a955ad8e1f · outbound

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Enhancing deep learning models for time series classification via knowledge distillation FitNets: Hints for Thin Deep Nets

Reference 34

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local_arxiv, observed 2026-07-10T21:17:35.919998Z

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Observation d52a34ba-90b9-4b93-98d5-ea7d8b6143d3 · outbound

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Enhancing deep learning models for time series classification via knowledge distillation Data Min Knowl Disc 29:1505–1530

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:17:41.830739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
verified exact
local_arxiv, observed 2026-07-10T21:17:35.882558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:d808f4193f6527dbd21f5ec3e3f54ff37a673f13cfb4eb0f5ae6acae447ded0c

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
verified exact
local_arxiv, observed 2026-07-10T21:17:35.864696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:030f40218efea9693696409562f0acc3b5510be23086e51a4125781f1ba68f43

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
raw_fallback, observed 2026-07-10T21:17:41.720085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:052281933001b16a793b8556ee43c56f37ec0f42ad98dd3570a22bd50b075923

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
raw_fallback, observed 2026-07-10T21:17:41.703121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:5e0bf0f4ed957d878b7b489c25d985a01d45e3de74e3139c25cbadcd0f5b2d86

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
raw_fallback, observed 2026-07-10T21:17:41.686569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:4bdfd13e146fc21805ca1bffa8971ce0e4f899db13f1cf655d8db84bcdbe01f3

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
raw_fallback, observed 2026-07-10T21:17:42.114163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:b96fec8278ed5011cb92e6e338a0166c4eb0a91b8b29f6dc57add50445efffd0

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
raw_fallback, observed 2026-07-10T21:17:41.670076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:6eb63064403abb0385b1240850aea7ff830b517bb60d9f5a19c05c6a410a894b

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
raw_fallback, observed 2026-07-10T21:17:41.737609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:c7e2296ce633d05ecfb6b9f119a7df960bc1469fa30cccbaf5f297594bfd2feb

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
raw_fallback, observed 2026-07-10T21:17:41.753201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:51f7dfccede9639ea0b687b8f214736bdda1d72185b1f2a6299e857c5e625c0c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:7059a6a8ba9acbdc3726b3ae7149f9b4c99b6966516f695d63d551876390a32a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:6edf6b0803993ab9e36dd33e6213655d285364a4f480475574924b9a729596f7

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
raw_fallback, observed 2026-07-10T21:17:41.654049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:7658f2910c2d515c0e0629277472f9bd717c1de649864fff559b3e26f19bf6b6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:c78bb3f5fd54e22780f982afb63be10a376d8aa3a2432088943b7a3ebc56fd1a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:b252be4b52ffd9213b437d416f6690d237a73108f40f0a76c47af5f9dceb26f2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:a2669b75f59dad9a7cbdd3cba13c30c55137e0e28b0539dabc2225a7cd425755

Pith citing papers

No inbound Pith citation observations are available.