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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.

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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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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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

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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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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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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

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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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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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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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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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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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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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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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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

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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.

source=pdf_text observed=2026-07-10T21:09:54.557270Z digest=sha256:c6af4cc2960dddde2b6501e0682d5d3eb0c20e781b3f0ae3cc9d4739d283fee3

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=sha256:0f3388ad8b417ea7cfe1acd57251e4bae24dda3023e0921b2de28009b9dae8ea

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:a36da772ab99486301e0dd633bdbd0d3325f3b7edc50136f1cbcc5d9f580c87a

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=sha256:03741e37eafd237b7079b8a1d47a297ce9778c7fb8fa8a471dbb8f737728e84f

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:cc9f94de35b3baf515f516fc43c19485b3e8784bca60dab5b2661db8a295864d

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=sha256:73560adc94db87713655fd8bd10ed1e3223b43e1a0a64f623be78d10c389178e

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=sha256:1b24bed01efabdb4825dc309b4ffbed4630529d2817842386231a4cc478633cd

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=sha256:8aa6b9f8e3e30ba7dcc61acce93eb076729036d58d3850f03e7797d6893c0eae

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:c554753b6911f46ea2fa2ec6839435ad771a0290278b840904ba70a7a5c80cdc

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=sha256:166e9817d952174b881cbb8c4244c43ef1e909e74c3869effb1a1fdace1906d7

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=sha256:1e2b263cee468314ec6b1fdaf464a8e2305be88e29a4f645d66256dfd456b36c

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:e4e3ea8f2e73eb0852f3662f8a5adc14e7357763bbe0a53b93b0dae4f597b5c1

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:d969cd364a4a30f3a0accea5ec6b2fe32fd54834ca0fe9d2027e8425be358003

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=sha256:186f37f3099c848e7a15e2310e6c2609ca4b8f2ad5d79c969e0c037be82b5f8e

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:d148e69dfb8a88b2e0f4dbd4450f8cde094ad1b16ecf8adf77446e3780ad6d6e

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=sha256:845750bcc9c7e6a8a70e8e2ed208c1b243779b86180ef3bf410793e4a4eef316

Pith citing papers

No inbound Pith citation observations are available.