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Paper Citation Record · LEDGER

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging

As of 6 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2605.09905.

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

pith.paper-citation-record.v1
2605.09905 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:41:48.085125Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

80 of 80 outbound references displayed

  • verified exact34
  • verified fuzzy39
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b67d2e15-e611-4fd7-8cc3-3dfbe9dc3add · outbound

This paper cites and Koch, Philipp and Mertins, Alfred and De Vos, Maarten , journal=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and Koch, Philipp and Mertins, Alfred and De Vos, Maarten , journal=

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:80cadda3fbed486f6bd213e3f53cf0bcb7f8b1514407212481dc5e9565287ec9

Observation 0492f3a6-0f19-4d9d-b818-4c7b2b27f01e · outbound

This paper cites DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG , year=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.970724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:a586c3c0d47ef2fadb00b52d9450e9336710cdf34cab9dd44cc415d84c4865f7

Observation 32348316-1b1a-4f5f-82d7-bdefa2bfd387 · outbound

This paper cites TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG , year=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.973931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:9b0a45ec11f3b480e0defe3261606ad9a7e803e1ae06a8cd6e2ab37a1a5c1aea

Observation 25858051-cebd-42dd-a4df-ea646aec8f06 · outbound

This paper cites CareSleepNet: A Hybrid Deep Learning Network for Automatic Sleep Staging , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging CareSleepNet: A Hybrid Deep Learning Network for Automatic Sleep Staging , year=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.906959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:56bfdf2d88024a91ed29635a6bf1a66c4088c128424d7f1fd6f657dbb0596eb5

Observation bbea2e01-754a-46b2-83ce-bcac4740be3d · outbound

This paper cites Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging From EEG Signals , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging From EEG Signals , year=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.954213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:7e8ccd4842f708d072b59f476cc767c47e4377026a27f7ecb5b8dadf8dc85f54

Observation f7425422-1a12-4926-ada7-6f44080cd704 · outbound

This paper cites medRxiv , pages=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging medRxiv , pages=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.964040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:be3aad47cdbb8e95d56236605eef07fda2874af536649d6f2c06bcba42d38466

Observation 0325e014-cafd-4ff6-8519-51f4ce0546e7 · outbound

This paper cites and Heremans, Elisabeth and Chén, Oliver Y.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and Heremans, Elisabeth and Chén, Oliver Y

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.957445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:3f889453fd93b562ae225d0b88426119b686e0852e2baa13a1ec108323d1401e

Observation afcc4f7f-1c97-425f-b8b0-32613868a083 · outbound

This paper cites Berry and Rita Brooks and Charlene Gamaldo and Susan M.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Berry and Rita Brooks and Charlene Gamaldo and Susan M

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.977807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:734820e67f95a900694e160a6bcf7f087656cec089158ab168ea12c6f179c2ca

Observation d86cefa5-a1d5-45dc-b274-c255dc3d241c · outbound

This paper cites 2025 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2025 , eprint=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.944477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:4f04c978f9e487a746448158a38c7d7e276b66d943ef91929c97c2ca24292d54

Observation 3909cbf4-1a5f-4874-bdb0-9528cfa416fc · outbound

This paper cites and Altevogt, Bruce , year =.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and Altevogt, Bruce , year =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.941377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:8a4f031d6734f5c215d8644956d624fb4baaced61f00d1a7bda3288d304e226c

Observation 31faf7d6-e4a6-45c3-b9ef-59cf3bba58f6 · outbound

This paper cites and Kaiser.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and Kaiser

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:b7a927014ef11a0116aabcd2cab18d99f1f806d97d076d00f0cfb58a0c23784d

Observation b84a129a-204d-4d1c-92f6-10324f2b93c3 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging International Conference on Learning Representations (ICLR) , year=

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:542fa344b502086c9156d07ae768d7f2e6836cc2fd8145f179e772c16345e647

Observation e0430e11-4864-495b-808b-f968a95d246e · outbound

This paper cites journal=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging journal=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.933621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:a41d0f9ddc5466cbf71947dc21120b1903e5fcfd485bb4f9a21335fcd8f36db3

Observation 4d7325d3-7216-4e12-8007-c2d4f71de0ee · outbound

This paper cites Long Short-Term Memory , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Long Short-Term Memory , year=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.937825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:30a4590f3f746e4d76bb271dab29f49d2a9b84052f24c7bcec6f031000caf205

Observation 58c9957e-c91a-4394-827b-e4045f5978cf · outbound

This paper cites 2014 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2014 , eprint=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.950923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:24635bc52d350d66a333dd698416f6fb142bc4b59632026a8af3904944c6c062

Observation ba7c82e9-3beb-41a3-82e2-8b5d0dfa4e67 · outbound

This paper cites and Vidal, René and Reiter, Austin and Hager, Gregory D.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and Vidal, René and Reiter, Austin and Hager, Gregory D

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.910326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:9d1d5e9c8d64c8c13cd50f25a22f9b6baa5d51deb23598421486d89bce695aa5

Observation 20ed0b62-e969-4c17-8cf6-68e30de247e7 · outbound

This paper cites 2024 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2024 , eprint=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.852560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:66f3b671777d00f83132cd080a40f0675bc65f2a229394bc84bdba981e473d0d

Observation 7171fcdf-014e-4f4f-aa78-f58d76952b83 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:3805be7ab9125407380c43efac71fa7c3dfc64b0f6542fa7d10022ab370d2105

Observation c2140561-831c-4c9e-92b6-c42113d8ffe3 · outbound

This paper cites Deep Image Prior , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Deep Image Prior , year=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.894602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:4806d7f1a67dd6b6781b4175fa22b42a15febea5f1ef1424948b5ada9d90529e

Observation bf08cb13-8c13-49a0-97e0-f349b3518648 · outbound

This paper cites and De Vos, Maarten , journal=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and De Vos, Maarten , journal=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.903740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:970a134ba34af75336f872e6a3061b911462113fb7db9dabda25a98f48ebc0b8

Observation 8d125212-f5d9-4b67-9664-346a17046cff · outbound

This paper cites An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG , year=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.892016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:ddfeea588decb105dcb44eabed540b8f866f6108edc2c41b765f1ea6fe7e0abe

Observation 98fb155c-9cbf-4bda-845c-5dff23d30549 · outbound

This paper cites 2022 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2022 , eprint=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.889434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:d19fc8b80d998b683c4a4116939b1bd4add85633a2e30aad4a93d0888d18b670

Observation b732d942-d8b9-4950-a96d-d3dc5dcc0ce2 · outbound

This paper cites and De Silva, Anjula C.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and De Silva, Anjula C

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.897250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:af313897b22745b6ac59fd3a106713430b38fc07207bad2fcc795814a426b5c2

Observation 254c567b-f86a-4b28-af34-94e207a8ae28 · outbound

This paper cites Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models , year=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models , year=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.914209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:0ee6e2b25dc6d206d57c3ed1fecba39a40e1dfe98fd088bdaf8aef55e5b21f5a

Observation 2161e31a-d83e-492e-9aac-4cf22bfaf169 · outbound

This paper cites Biomedical signal processing and control , volume=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Biomedical signal processing and control , volume=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.917786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:5eb2bbfb0bf91e501422266df13ddc3ee37556a1c75554e94cacdb31dcc7ccac

Observation 71ccdb62-dfc7-461f-a6d7-93fb87599537 · outbound

This paper cites and Ogg, Mattson , booktitle=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging and Ogg, Mattson , booktitle=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.947703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:0f63e49e3c3441a4c86bd9be3d20c75f70f15920dcf21fd4396a556c34cd695a

Observation 4f417b05-32e4-4b4f-bcef-c5a32e0fdc19 · outbound

This paper cites Proceedings of the 21st International Conference on Neural Information Processing Systems , pages =.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Proceedings of the 21st International Conference on Neural Information Processing Systems , pages =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.886297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:d37f59aa8cb161ef765766a7bec31f37151f55931a0ee0ff4775bcff2a604e4b

Observation ddd88792-bf59-4b2d-9f55-ef2a1945459d · outbound

This paper cites 2020 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2020 , eprint=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.883220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:88e0d6e97b170c2a8c1964302b65948177e7651d3359a27ed21f49ccd13d2ef2

Observation 5866c8aa-dd8b-4016-a824-bbe3e0cbe084 · outbound

This paper cites 2021 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2021 , eprint=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.873066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:c113118545a18dd1c9b2e263b517c774ef6a3c7a34b9b54c4ff864925c353f1a

Observation 308ff30d-af26-4313-8aa2-966b3ec23f64 · outbound

This paper cites 2020 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2020 , eprint=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.870684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:2457a35c3a72a5c11417c21031ec6f6dc88b1ea22b4c31902711ca15d5bed50f

Observation a8839636-f7aa-47ee-b21e-1d725e68aee9 · outbound

This paper cites 2022 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2022 , eprint=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.967582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:eb43e7d7fc7c1c74d51803c66e549d0e7fb90e1e5f367a8b654f0e97777cdc08

Observation 6b7d402e-3068-419f-96fc-00919f11ba83 · outbound

This paper cites 2025 , eprint=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging 2025 , eprint=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.875597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:90509f5d4951d17b3ed74bdcaee0c001f05f8497652fa6e3c8eb93a2cec064dc

Observation 9739937a-f887-4d70-85d2-cbaf2f3836d4 · outbound

This paper cites Physiological measurement , volume=.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Physiological measurement , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.880836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:9dbb48aa81a4290e2504e80a4dec4d6455605d1ca443bcf7b6af93342000ca80

Observation 5a5102dd-f91d-47cd-9a18-52b31883b29f · outbound

This paper cites Luyster, Jr.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Luyster, Jr

Reference 49

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.844427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:bbc1e0caba28b41092a120aa428bfa97604a08ed9e941f20325d902f47a59447

Observation dcc4dfd0-09ee-4dd9-b599-81bad932ea1b · outbound

This paper cites Automatic sleep staging of eeg signals: recent development, challenges, and future directions.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Automatic sleep staging of eeg signals: recent development, challenges, and future directions

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.867990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:6ca61c26169b30a3dfc470e7c95dea61632383b988604086720341a06922dbff

Observation 968c75c8-ad33-4a92-97ce-bb14507d3ce9 · outbound

This paper cites Large-scale automated sleep staging.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Large-scale automated sleep staging

Reference 51

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.853757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:dcfed1acf578a092aab530c007a34eae17607e5d66370927a966f4f3b9b2ae16

Observation 9eba5da5-f96f-4dfd-a2bc-2afa85b428f4 · outbound

This paper cites Sleep modulation: The challenge of transitioning from open loop to closed loop.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Sleep modulation: The challenge of transitioning from open loop to closed loop

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:24.167040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:375914ea2f11f3d73af58dd94115d7432a042aa187c06f819f40627acb006669

Observation 874348c5-311a-4d97-a70f-0e9d871b63ae · outbound

This paper cites o fer, Alejandra Alonso, Luciana Besedovsky, Keith Murphy, Emma Peters, Karolina Raczek, Bj\.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging o fer, Alejandra Alonso, Luciana Besedovsky, Keith Murphy, Emma Peters, Karolina Raczek, Bj\

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.730354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:97053888770f0993c392784a03c22bb93a6a625f22c6ba7f45d79e1de7503e95

Observation 9e4b2888-d4dc-4fd6-8122-5443f920daeb · outbound

This paper cites Lorenzen, Elisabeth Heremans, Oliver Y.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Lorenzen, Elisabeth Heremans, Oliver Y

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.698014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:c17e82533a8b0cfc5c78ad9b4fe193003b92eef95c73724e38d847302aa190f0

Observation 362ac30e-7976-475a-b753-b71bcb7bbde8 · outbound

This paper cites Colten and Bruce Altevogt.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Colten and Bruce Altevogt

Reference 55

Resolution
malformed identifier
doi_truncated, observed 2026-05-12T05:16:23.856874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:f350c3301a5b50386e7305385bc50472ecf0ebcd795b3b34fa745439548b64de

Observation 3bd8c344-5694-4470-b943-70019d4f02e1 · outbound

This paper cites Berry, Rita Brooks, Charlene Gamaldo, Susan M.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Berry, Rita Brooks, Charlene Gamaldo, Susan M

Reference 56

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.787577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:d4c5eca881f894b8a517af339c43f45a5690b6640e6f9ab1c1d630b68b9f6d0c

Observation 29386377-e0d8-4954-bc03-e674e1383649 · outbound

This paper cites Lightsleepnet: Design of a personalized portable sleep staging system based on single-channel eeg.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Lightsleepnet: Design of a personalized portable sleep staging system based on single-channel eeg

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.693516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:c854f5d23d0884addccd7db1604d8235fa6dcf3e53c837b1d4e6fb29ca5dba47

Observation ffe4bfa4-395b-4c55-9a22-d8bbcd694714 · outbound

This paper cites Micro sleepnet: efficient deep learning model for mobile terminal real-time sleep staging.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Micro sleepnet: efficient deep learning model for mobile terminal real-time sleep staging

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.784001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:83a6f9df18326ce674be9ef513b99190e533861f9b90e30f60f8353c11902590

Observation e7306f72-b7ac-458e-8d1b-e69e94896a1b · outbound

This paper cites Deepsleepnet: A model for automatic sleep stage scoring based on raw single-channel eeg.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Deepsleepnet: A model for automatic sleep stage scoring based on raw single-channel eeg

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.704994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:4c6eacb23792b7d8d3f43a52b3f822033bed2cb03a7baaab9405e3ea0b75a8fa

Observation 706a4eae-ff57-45fb-8d30-bc5ba379bd11 · outbound

This paper cites Alberto Borghese, and Simona Ferrante.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Alberto Borghese, and Simona Ferrante

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:16:23.710843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:2544e5e5e06c4c53cbe04162de27baef82aa21b948cb5e4cd8d88b5dd24c3559

Observation 0d283e07-bfaa-4b1c-bb38-714bd46b2383 · outbound

This paper cites Multi-view self-supervised learning enhances automatic sleep staging from eeg signals.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Multi-view self-supervised learning enhances automatic sleep staging from eeg signals

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.862677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:a834374e29317fc894806ac47f3949b262d264fb7a6781e3ce59c8705b230f67

Observation cfb843d8-b2f1-4e4e-82b7-528512db39f6 · outbound

This paper cites A multimodal sleep foundation model developed with 500k hours of sleep recordings for disease predictions.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging A multimodal sleep foundation model developed with 500k hours of sleep recordings for disease predictions

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.878272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:f6bc80d0ae5c8b8fb4d0843f1da7077f25b6c8d922bff26ec1b6eaf6663293d2

Observation 79c76833-2ea2-4de4-942d-fae075c3e03b · outbound

This paper cites An attention-based deep learning approach for sleep stage classification with single-channel eeg.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging An attention-based deep learning approach for sleep stage classification with single-channel eeg

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.674955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:8fb83ff9c2dd8f5709cb7ce33abf59d4340113e71282cd251205845ef1267e0a

Observation 4f9fba79-8478-4f76-a181-8c7f443a41e1 · outbound

This paper cites Chén, Philipp Koch, Alfred Mertins, and Maarten De Vos.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Chén, Philipp Koch, Alfred Mertins, and Maarten De Vos

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.807869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:ef8d706c9023d8ff345a98f3ffe2ac50221f5938c691b80538229cbcffbc05d8

Observation 79c4876f-7af7-4ac6-ba9e-08bc3635fa8e · outbound

This paper cites A unified flexible large psg model for sleep staging and brain disorder diagnosis.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging A unified flexible large psg model for sleep staging and brain disorder diagnosis

Reference 65

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.820856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:efd30a64c1e508808903dfdb7b7cde3ba4a315de5f647e73fb965ba6d08336b9

Observation 27035d83-600f-4d9a-9d64-2a0a60c0a72f · outbound

This paper cites Caresleepnet: A hybrid deep learning network for automatic sleep staging.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Caresleepnet: A hybrid deep learning network for automatic sleep staging

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.815593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:b7c2273ab7761359f220991b0c6faa492eed4172f3e8758a3cd26dd2f33648bc

Observation a3781153-6d7b-4122-b3c6-57ff18086e97 · outbound

This paper cites Sleepdifformer: Sleep stage classification via multivariate differential transformer.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Sleepdifformer: Sleep stage classification via multivariate differential transformer

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:24.158281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:044d3d7ad6a00889f03e2c5eee70c0f6e30593f93a3994263058cd7f0d0a7d56

Observation 22332e99-1f29-4510-9323-75ef666a8dd6 · outbound

This paper cites FlexSleepTransformer : a transformer-based sleep staging model with flexible input channel configurations.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging FlexSleepTransformer : a transformer-based sleep staging model with flexible input channel configurations

Reference 68

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.746713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:210a7b961bc4bc07a35326cfee56b7091c44f6c328cb992816b3d34325ef1031

Observation e37cf6f7-e376-4f18-9b8a-04cfd16fc263 · outbound

This paper cites Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals

Reference 69

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.798888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:d9dce47666f087df41d375e7380aae3d0ce6a056485df9862f7a72b43642a411

Observation 5d87e7fa-9ff4-4af2-9698-9fa7fc1a90fc · outbound

This paper cites Effisegnet: Gastrointestinal polyp segmentation through a pre-trained efficientnet-based network with a simplified decoder.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Effisegnet: Gastrointestinal polyp segmentation through a pre-trained efficientnet-based network with a simplified decoder

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:16:23.871661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:78b29df153bc1acae9816ec7da7eb0d3d9e298563e2908ee2be4190ad8423e44

Observation d241284b-c54c-4ff8-ba66-b18338653c05 · outbound

This paper cites Effisegnet: Gastrointestinal polyp segmentation through a pre-trained efficientnet-based network with a simplified decoder.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Effisegnet: Gastrointestinal polyp segmentation through a pre-trained efficientnet-based network with a simplified decoder

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:16:23.776842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:1401bd4a1ec87fef443090faa7e3e90720a06c7795116e9e39ca2dcc5af8e197

Observation 7f8052c8-12d9-440b-b0b2-f54e72396d00 · outbound

This paper cites Kappel, Anjula C.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Kappel, Anjula C

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:16:23.715071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:9527510028cf3b2ab0a445c425934d81475fa24d8ff659f13a63fb4975d67528

Observation dffc799f-3582-45e4-92cc-a707d34d3252 · outbound

This paper cites Gomez, ukasz Kaiser, and Illia Polosukhin.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Gomez, ukasz Kaiser, and Illia Polosukhin

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.864780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:4b16956bfe3205c0f2a22a7505b124e6d493f887e49621d876836aec5a10e098

Observation f5a34261-0b63-48ff-bc4a-db025c1197df · outbound

This paper cites Chén, and Maarten De Vos.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Chén, and Maarten De Vos

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.838876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:6b3a756f9cda8b096024c761bec88c9de1724197f3a9fa82c01c4c39c7d1d293

Observation 8a7209d8-e9b4-4b3a-9ed2-499c5a3001bc · outbound

This paper cites ( 50 ) Appeltant, L.; Van der Sande, G.; Danckaert, J.; Fischer, I., Constructing optimized binary masks for reservoir computing with delay systems.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging ( 50 ) Appeltant, L.; Van der Sande, G.; Danckaert, J.; Fischer, I., Constructing optimized binary masks for reservoir computing with delay systems

Reference 75

Resolution
metadata mismatch
doi, observed 2026-05-12T05:16:23.766960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:bb54e8f0e1dd978c451ecf8d68c7d69bdf17f30c2d65230d2be234a6eeae2bdf

Observation a2a5f3c0-d6b0-455c-93bb-283b0166c343 · outbound

This paper cites Intra-and inter-epoch temporal context network (iitnet) using sub-epoch features for automatic sleep scoring on raw single-channel eeg.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Intra-and inter-epoch temporal context network (iitnet) using sub-epoch features for automatic sleep scoring on raw single-channel eeg

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.861453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:28fd852f80731e963fa471a9acf4996d9b266ae07ae0b1d58bd0926694a891a8

Observation f6c008bb-f3aa-4deb-a0f1-274a6babcf3d · outbound

This paper cites Random features for large-scale kernel machines.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Random features for large-scale kernel machines

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.858468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:7448ce21096725edb6d803f1985cbfd96e305b25e40c837bc745db19aa0da80a

Observation 16565d7e-428f-4729-a9af-7d2f6106cfd6 · outbound

This paper cites Deep Echo State Network (DeepESN): A Brief Survey.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Deep Echo State Network (DeepESN): A Brief Survey

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:24.209989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:fcb8cbbc2056ade06f6ff4e1899350bad863e89a9ebc829eef978fad3126eeb5

Observation aa161f50-27b4-4208-bd56-693af09c52fc · outbound

This paper cites author Vedaldi, A.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging author Vedaldi, A

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.849082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:e1e8e204a43c97443b36cafe869b3e5b2b63a5693899ea9689f6b76a71527eaa

Observation 6e8c63cf-68d7-40ad-9fa9-b8320851de9a · outbound

This paper cites Rethinking Attention with Performers.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Rethinking Attention with Performers

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:16:14.972905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:3ca924085611cfd6cfbae6dfadac9c5bf0736901b0b0c4dfeeede23f8d26124e

Observation ac6a2fc1-9c13-4536-92f9-ce5530d52002 · outbound

This paper cites Random Feature Attention.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Random Feature Attention

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:01:24.149112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:21e15e643008fdc7b54e7336c43af339a342716f6f5994905572a9aa55935dec

Observation d7579cd7-b99e-4b4e-b4e9-6d041077c5c6 · outbound

This paper cites Transformer Dissection: A Unified Understanding for T ransformer ' s Attention via the Lens of Kernel.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Transformer Dissection: A Unified Understanding for T ransformer ' s Attention via the Lens of Kernel

Reference 82

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.660341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:98773d74abeb957ef894a3cbbe976fb74bcfb62a7e875674befa6cf3b6c28146

Observation 09948d8c-3c39-45c1-bc5c-3fc16827ce0a · outbound

This paper cites How Do Vision Transformers Work?.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging How Do Vision Transformers Work?

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:24.200349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:5b756b88273df10dd14dde480f19cf2cae9eb5961efb3a319e231ecb86d82dbe

Observation 6e30418b-91ce-4229-940f-f650dc1b563b · outbound

This paper cites Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:24.104751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:b59f6a2c72b7d68a23f106a48a579746e494703b7f882ce8fc329c6cefcf3fc7

Observation 3257e32e-e527-4df6-9afd-6e7ee591eb56 · outbound

This paper cites Neural tangent kernel: convergence and generalization in neural networks (invited paper).

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Neural tangent kernel: convergence and generalization in neural networks (invited paper)

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.742348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:75f45b6e17404563addba8130aa8689d354db87ca3d801b75220d09c8c5437d3

Observation f36c1587-4e75-4e4f-ac7c-bcc6183043ea · outbound

This paper cites Infinite attention: NNGP and NTK for deep attention networks.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Infinite attention: NNGP and NTK for deep attention networks

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:24.191902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:eba9ba142f8c12bcb5a2ef0cd2e50f9448d0bc37691adb70319e4574f1ef9592

Observation 31d79df6-2b63-40a7-89af-08019b638da7 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals

Reference 87

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.668337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:a4f417cccde8172615d8b35a8e2039d71fdfa4b03f785d05593d325baaf79ed9

Observation c2c018e7-4ce1-4de1-8d58-8885706e8902 · outbound

This paper cites Quan, Barbara V.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Quan, Barbara V

Reference 88

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.749993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:422bd43cab297988281dd753da0fb91e730abfddb3d7ef73cc5ad3e4497ea0e3

Observation 70740d6d-b422-412a-b470-8191e09edf7a · outbound

This paper cites ibot: Image bert pre-training with online tokenizer.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging ibot: Image bert pre-training with online tokenizer

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T13:51:37.855485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:7560dd82c00c89db1e4e20d932d949b863b11b1fbadb588454264f6db132c91f

Observation aca7c356-bbd5-45db-b3e5-e2800a00b9d2 · outbound

This paper cites Long short -term memory.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Long short -term memory

Reference 90

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.733951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:9643468c67197898ec7203441607d92fb89a1151f4caa1df24deb96cc67a6a54

Observation 35f35cb8-d65e-4749-8e63-5f5c1580ce25 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:01:24.129342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:f8067eb21a627781051c99f39824985c4279197198776b0ff6d54ebb4d835295

Observation 13ff0e64-ac9b-4c88-8251-b588245c81fb · outbound

This paper cites Flynn, René Vidal, Austin Reiter, and Gregory D.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Flynn, René Vidal, Austin Reiter, and Gregory D

Reference 92

Resolution
verified exact
doi, observed 2026-05-12T05:16:23.828511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:1d5558e2910d303cf78c4f6a9d2ca028de322f16301b3012ac6172ada699857f

Observation 26cae6a5-531d-45c4-8022-fafc80366f44 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:01:24.090570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:5872bebfd1dbce4a8600b5f864beb96be501839bab2645570e4f782482fb209d

Observation 98406886-9c1f-429a-bb68-0ad0708f7fb8 · outbound

This paper cites AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-07-15T02:21:06.771917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:c5b1de28549b9061b5dc8ce11277aa59615db4b3195268e8e8b534aaa11cbf08

Observation 22ea65ff-5ca5-4ad9-b164-39068e4ab175 · outbound

This paper cites an unresolved cited work.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Unresolved cited work

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:16:23.726098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T04:41:48.085125Z digest=sha256:ac2c1f9cbdf64eaf5014b430b5aeca2265bc72e047b69d3acf46eb26458d0332

Pith citing papers

No inbound Pith citation observations are available.