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Paper Citation Record · LEDGER

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.06297.

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

pith.paper-citation-record.v1
2607.06297 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T10:43:51.626218Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

42 of 42 outbound references displayed

  • verified exact34
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19caf2e0-e643-4ecd-a533-419d0d04d668 · outbound

This paper cites A reinforce- ment learning method for human-robot collaboration in assembly tasks.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration A reinforce- ment learning method for human-robot collaboration in assembly tasks

Reference 1

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arxiv_id, observed 2026-07-08T10:44:48.808764Z

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Observation 89871edb-9c36-442f-96c2-3c6defe7c5bf · outbound

This paper cites Human –robot collaboration in industrial environments: A literature review on non - destructive disassembly,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Human –robot collaboration in industrial environments: A literature review on non - destructive disassembly,

Reference 2

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Observation dff2b3c0-8aaf-4967-87a5-f153cdb9853c · outbound

This paper cites Toward human-vehicle collaboration for automated vehicles: A review and perspective,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Toward human-vehicle collaboration for automated vehicles: A review and perspective,

Reference 3

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Observation 770ef363-2585-4e53-8daf-547d32a41e0a · outbound

This paper cites Review of human– robot collaboration in robotic surgery,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Review of human– robot collaboration in robotic surgery,

Reference 4

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Observation af2fd1e1-f691-4e23-861f-cdea7856d825 · outbound

This paper cites A review of human –machine cooperation in the robotics domain,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration A review of human –machine cooperation in the robotics domain,

Reference 5

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arxiv_id, observed 2026-07-08T10:44:48.867362Z

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Observation 3b6aa893-5e00-4b9d-a7d3-022dfe00f224 · outbound

This paper cites Smith, Diego A.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Smith, Diego A

Reference 6

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Source-reported events for the cited work

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Observation 3ba8cbc7-1b9b-40a2-b4ae-138e9e298982 · outbound

This paper cites Feasibility of Detecting Potential Emergencies in Symbiotic Human-Robot Collaboration with a mobile EEG,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Feasibility of Detecting Potential Emergencies in Symbiotic Human-Robot Collaboration with a mobile EEG,

Reference 7

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Observation e0b2ac96-dde1-432d-a639-75d93e72906f · outbound

This paper cites Robotic vision for human-robot interaction and collaboration: A survey and systematic review,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Robotic vision for human-robot interaction and collaboration: A survey and systematic review,

Reference 8

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Source-reported events for the cited work

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Observation 9490bb4a-df9e-44c6-a6d0-4c1a71d198e5 · outbound

This paper cites Multimodal human – robot interaction for human -centric smart manufacturing: A survey,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Multimodal human – robot interaction for human -centric smart manufacturing: A survey,

Reference 9

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Observation 885aa31e-4a2d-4e2c-a93e-9e2ff8619c36 · outbound

This paper cites Xiong, Y.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Xiong, Y

Reference 10

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Observation 8f05ba37-f969-4daa-ad51-bb0aad433a16 · outbound

This paper cites Neural decoding of EEG signals with machine learning: A systematic review,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Neural decoding of EEG signals with machine learning: A systematic review,

Reference 11

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Observation 00369f5c-aed7-4adc-b992-eed66274b86c · outbound

This paper cites Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform,

Reference 12

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Observation 55334f79-292a-4918-86de-4cd2b53cbaed · outbound

This paper cites Hybrid recurrent neural network architecture -based intention recognition for human–robot collaboration,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Hybrid recurrent neural network architecture -based intention recognition for human–robot collaboration,

Reference 13

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Observation 39148589-b5d9-484d-b0f7-dd2210474281 · outbound

This paper cites Augmented Recognition of Distracted Driving State Based on Electrophysiological Analysis of Brain Network,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Augmented Recognition of Distracted Driving State Based on Electrophysiological Analysis of Brain Network,

Reference 14

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Observation d894b369-6732-455f-94d1-008d0e77df6f · outbound

This paper cites Sensory target detection at local and global timescales reveals a hierarchy of supramodal dynamics in the human cortex,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Sensory target detection at local and global timescales reveals a hierarchy of supramodal dynamics in the human cortex,

Reference 15

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Observation efbb5039-fc86-4837-9f4c-5273077cf661 · outbound

This paper cites Electrophysiological underpinnings of reward processing: Are we exploiting the full potential of EEG?,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Electrophysiological underpinnings of reward processing: Are we exploiting the full potential of EEG?,

Reference 16

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Observation 7b116027-8b31-4232-8720-de8f5d4d709f · outbound

This paper cites Cheng, H.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Cheng, H

Reference 17

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Observation 92eb6499-7f95-4b74-9c1f-2bdcdd9e6833 · outbound

This paper cites Physics-informed attention temporal convolutional network for eeg-based motor imagery classification.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Physics-informed attention temporal convolutional network for eeg-based motor imagery classification

Reference 18

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Observation 9be7eb87-35d7-4ebd-9f4c-2e1337bf19ac · outbound

This paper cites SpeechBrain-MOABB: An open-source python library for benchmarking deep neural networks applied to EEG signals,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration SpeechBrain-MOABB: An open-source python library for benchmarking deep neural networks applied to EEG signals,

Reference 19

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Observation ba659ad0-c08f-47eb-b2d9-cf7eca7bc175 · outbound

This paper cites Multi - channel EEG recordings during a sustained -attention driving task,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Multi - channel EEG recordings during a sustained -attention driving task,

Reference 20

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Observation b9782245-2abc-46b6-a3a0-09ef128b158b · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 196, 146–177.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration ISPRS Journal of Photogrammetry and Remote Sensing 196, 146–177

Reference 21

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Observation d3dc6135-3d18-4ec9-99e9-636507be130c · outbound

This paper cites Sensor -enabled safety systems for human – robot collaboration: A review,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Sensor -enabled safety systems for human – robot collaboration: A review,

Reference 22

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Observation c3a168fd-a7df-4fd8-b89b-438e967eb943 · outbound

This paper cites Sensor -based human –robot collaboration for industrial tasks,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Sensor -based human –robot collaboration for industrial tasks,

Reference 23

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Observation 9a60ca84-40ad-465b-8ddc-27800d7ba7ba · outbound

This paper cites Gaze-aware hand gesture recognition for intelligent construction,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Gaze-aware hand gesture recognition for intelligent construction,

Reference 24

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Observation c7dd67ab-5f2b-4485-8ff9-e199f7859829 · outbound

This paper cites Proactive human –robot collaboration: Mutual - cognitive, predictable, and self -organising perspectives,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Proactive human –robot collaboration: Mutual - cognitive, predictable, and self -organising perspectives,

Reference 25

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Observation 5850bf93-20e1-44f6-bcae-986b1173e70d · outbound

This paper cites An adaptive human sensor framework for human–robot collaboration,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration An adaptive human sensor framework for human–robot collaboration,

Reference 26

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Observation 4846fa67-abbb-4454-a56f-74f933676b82 · outbound

This paper cites Anomaly Detection Methods in Autonomous Robotic Missions,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Anomaly Detection Methods in Autonomous Robotic Missions,

Reference 27

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Observation 5b65850b-d53a-4584-9d2a-ea83068d8bba · outbound

This paper cites Multidomain EEG representation learning with orthogonal mapping and attention-based fusion for cognitive load classification,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Multidomain EEG representation learning with orthogonal mapping and attention-based fusion for cognitive load classification,

Reference 28

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Observation a35e3751-308c-45cc-9d9e-37e4caf90050 · outbound

This paper cites EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

Reference 29

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arxiv_id, observed 2026-07-08T10:44:48.797531Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 72bb2c79-6a89-4128-b034-69bf6adb2370 · outbound

This paper cites Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation

Reference 30

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local_arxiv, observed 2026-07-08T10:44:48.803186Z

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Observation b7157d0b-4f04-4157-acc7-dd08c73a45d0 · outbound

This paper cites Progressive.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Progressive

Reference 31

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arxiv_id, observed 2026-07-08T10:44:48.833802Z

Source-reported events for the cited work

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Observation f9f140a2-e59b-4c59-a78d-3fb1eb5ba67a · outbound

This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , series =.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , series =

Reference 32

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arxiv_id, observed 2026-07-08T10:44:48.859825Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 86e8d8c5-354a-4ced-ba4a-42466cb086cd · outbound

This paper cites Independent component analysis of electroencephalographic data,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Independent component analysis of electroencephalographic data,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f9d45b04-4334-4b0e-b128-f9fc7609b332 · outbound

This paper cites Speaker Recognition from Raw Waveform with SincNet.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Speaker Recognition from Raw Waveform with SincNet

Reference 34

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local_arxiv, observed 2026-07-08T10:44:48.847518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ecea9714-0343-4980-bfa4-00172ba72aa0 · outbound

This paper cites 2018 , month =.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration 2018 , month =

Reference 35

Resolution
metadata mismatch
doi, observed 2026-07-08T10:44:48.874405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:364e16febcf99a7386444aa27c2f5437d5b8632b24e3bc17cd15791ac12967df

Observation fe4c499c-f381-46ab-bc8d-2319a727b6a4 · outbound

This paper cites Optimal Spatial Filtering of Single Trial EEG during Imagined Hand Movement.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Optimal Spatial Filtering of Single Trial EEG during Imagined Hand Movement

Reference 36

Resolution
verified exact
doi, observed 2026-07-08T10:44:48.844835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:b908208e9f73abb7b0e41b0fe8dbe9ab110cb8bfeda584eb9ccd84e5e3257064

Observation 88e6d4e1-e621-4e13-8c3e-3599135cdab1 · outbound

This paper cites A feature extraction and classification algorithm for motor imagery EEG signals based on decision tree and CSP-SVM,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration A feature extraction and classification algorithm for motor imagery EEG signals based on decision tree and CSP-SVM,

Reference 37

Resolution
verified exact
doi, observed 2026-07-08T10:44:48.817357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:0cde421920cfc8d66a1ece9fe2d6102fc4f899c25de9c8649d78ab3eac678bb0

Observation 3e5f0bbb-2f74-4a40-bbfc-11fab455f67f · outbound

This paper cites Filter bank common spatial pattern (FBCSP) in brain-computer interface,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Filter bank common spatial pattern (FBCSP) in brain-computer interface,

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-08T10:44:48.857027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:2b2d08bd2e3ce6c429e8dc5353bcf69a2ed985d06a8315cc3cfbc11d7f992162

Observation 9d222431-3c33-49d0-b68a-b6edbcb4c2fa · outbound

This paper cites FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-08T10:44:48.811677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:b9eb1b64d41a6cab8132bad68276d2fe89b89586384b1d22188d15d64efb463c

Observation f070daf5-7c23-46c5-9de5-f8d7e72edd87 · outbound

This paper cites Hu- man Brain Mapping (aug 2017).

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Hu- man Brain Mapping (aug 2017)

Reference 40

Resolution
metadata mismatch
doi, observed 2026-07-08T10:44:48.790743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:aac5492ba92fb6dee9880a204c14ee521afd49023e8501ac666a69b2d5dbff68

Observation 2e8ca2f1-1d77-4f09-b197-9758baad1ced · outbound

This paper cites Vigilance described by the time-on-task effect in EEG activity during a cued go/NoGo task,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Vigilance described by the time-on-task effect in EEG activity during a cued go/NoGo task,

Reference 41

Resolution
verified exact
doi, observed 2026-07-08T10:44:48.780322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:59e585fa1617cf2d56bdee5f9e3def085d1754020e772a678f2d4188607ef4f4

Observation 9da1696c-0952-46a2-9a51-11ef84f274cd · outbound

This paper cites Alpha-band EEG suppression as a neural marker of sustained attentional engagement to conditioned threat stimuli,.

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration Alpha-band EEG suppression as a neural marker of sustained attentional engagement to conditioned threat stimuli,

Reference 42

Resolution
verified exact
doi, observed 2026-07-08T10:44:48.879768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:43:51.626218Z digest=sha256:a61c12ba04a4aa29a001d3cfaf994caf2ef84b4f798ae6ba7ed8d60b022f1c9c

Pith citing papers

No inbound Pith citation observations are available.