Paper Citation Record · LEDGER

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation

As of 6 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2604.25131.

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

pith.paper-citation-record.v1
2604.25131 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T17:04:32.741694Z

measured 36 of 36 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

35 of 35 outbound references displayed

verified exact6
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 90e5a8e1-3474-49a1-9702-45ba75129bd2 · outbound

This paper cites Eeg based emotion recognition: A tutorial and review.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Eeg based emotion recognition: A tutorial and review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.419209Z

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.

Observation 796bd4d5-821f-47fc-af13-b597eb7e32b4 · outbound

This paper cites A review of feature extraction and performance evaluation in epileptic seizure detection using eeg.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation A review of feature extraction and performance evaluation in epileptic seizure detection using eeg

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.407605Z

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.

Observation 6f4bd11c-2e74-47ef-bdaa-fdad2bdf12aa · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:26:13.440259Z

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.

Observation 021c9405-1fda-45aa-bb55-6173f379060d · outbound

This paper cites GPT-4 Technical Report.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation GPT-4 Technical Report

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:26:13.436604Z

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.

Observation 4c3e5000-a8f0-4b85-a989-05366d224a4f · outbound

This paper cites BIOT: Cross-data Biosignal Learning in the Wild.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation BIOT: Cross-data Biosignal Learning in the Wild

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:26:13.498792Z

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.

Observation 3dc0cb23-3da2-4daf-b137-b07a079c06b6 · outbound

This paper cites Learning topology-agnostic eeg representations with geometry-aware modeling.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Learning topology-agnostic eeg representations with geometry-aware modeling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.412193Z

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.

Observation 04a62a6b-1211-4745-8ea1-85a514a5c123 · outbound

This paper cites Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:26:13.488021Z

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.

Observation e772835c-b088-4fca-98c1-5ec55eee068d · outbound

This paper cites Gra- dient surgery for multi-task learning.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Gra- dient surgery for multi-task learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.403845Z

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.

Observation 3dca0267-44f1-464d-9230-6fddf375ae43 · outbound

This paper cites Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:26:13.431891Z

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.

Observation c3972f2e-84c1-4abe-af36-000c1797ca24 · outbound

This paper cites Polyhistor: Parameter- efficient multi-task adaptation for dense vision tasks.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Polyhistor: Parameter- efficient multi-task adaptation for dense vision tasks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.315094Z

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.

Observation 742cdd02-e038-423f-9c75-c1825204a424 · outbound

This paper cites Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:26:13.477002Z

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.

Observation 9307d6fd-b39c-48d0-8275-3cf59dae46f3 · outbound

This paper cites Modeling task relationships in multi-task learning with multi-gate mixture-of-experts.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Modeling task relationships in multi-task learning with multi-gate mixture-of-experts

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.366263Z

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.

Observation 95646000-155f-4897-93f0-6264c81f4872 · outbound

This paper cites Cgc: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Cgc: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.310665Z

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.

Observation c179406e-34a0-44cd-93bc-35f0e0a8a670 · outbound

This paper cites Neural discrete representation learning.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Neural discrete representation learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.390422Z

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.

Observation f62236d4-ec13-41ff-9859-66ef83b9e059 · outbound

This paper cites The temple university hospital eeg data corpus.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation The temple university hospital eeg data corpus

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.357626Z

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.

Observation 8d55c212-48f6-4154-ab9f-32675b5ef818 · outbound

This paper cites Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.399592Z

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.

Observation 3dc4aede-1868-4795-bc95-b8094762f98c · outbound

This paper cites Application of machine learning to epileptic seizure onset detection and treatment.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Application of machine learning to epileptic seizure onset detection and treatment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.335652Z

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.

Observation aa9b1f15-76bf-40c9-904c-3e5ceba7ea28 · outbound

This paper cites A resnet- lstm hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation A resnet- lstm hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.383936Z

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.

Observation 513970e6-e04c-4cf5-9d3b-f01e85412d22 · outbound

This paper cites Single-channel seizure detection with clinical confirmation of seizure locations using chb-mit dataset.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Single-channel seizure detection with clinical confirmation of seizure locations using chb-mit dataset

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.370618Z

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.

Observation 800bda5d-cc91-4f1d-9903-3e03dcbc0b58 · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.331784Z

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.

Observation f1c51b2b-9e10-4d13-9417-bd52d6e8c5a2 · outbound

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

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Deepsleepnet: A model for automatic sleep stage scoring based on raw single-channel eeg

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.340105Z

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.

Observation 13c53df2-7148-4f84-b068-859a6c60b8ae · outbound

This paper cites Tinysleepnet: An efficient deep learning model for sleep stage scoring based on raw single-channel eeg.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Tinysleepnet: An efficient deep learning model for sleep stage scoring based on raw single-channel eeg

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.345924Z

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.

Observation 9f855cdc-ca0b-485d-9218-7a55c7964545 · outbound

This paper cites The aasm manual for the scoring of sleep and associated events.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation The aasm manual for the scoring of sleep and associated events

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.353463Z

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.

Observation 84539ba3-88f6-48e9-89aa-d33c9499ef31 · outbound

This paper cites Improving generalization of cnn-based motor-imagery eeg decoders via dynamic convolutions.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Improving generalization of cnn-based motor-imagery eeg decoders via dynamic convolutions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.327653Z

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.

Observation 21a84ecd-8710-474e-aee6-2bdf31e79113 · outbound

This paper cites Motor imagery decoding using ensemble curriculum learning and collaborative training.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Motor imagery decoding using ensemble curriculum learning and collaborative training

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.349521Z

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.

Observation e588b02b-787c-4cc5-b9cd-aed5100ba10d · outbound

This paper cites Development of expert-level classification of seizures and rhythmic and periodic patterns during eeg interpretation.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Development of expert-level classification of seizures and rhythmic and periodic patterns during eeg interpretation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.361693Z

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.

Observation edec082d-e496-4ee4-af52-f94647824319 · outbound

This paper cites Self-supervised EEG Representation Learning for Automatic Sleep Staging.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Self-supervised EEG Representation Learning for Automatic Sleep Staging

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:26:13.444328Z

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.

Observation 397c7e17-6074-4e47-8378-9ad0c0df0788 · outbound

This paper cites Transformer convolutional neural networks for automated artifact detection in scalp eeg.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Transformer convolutional neural networks for automated artifact detection in scalp eeg

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.374871Z

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.

Observation 5e5f59c4-7784-498e-8646-986845b166cb · outbound

This paper cites Motor imagery eeg classification algorithm based on cnn-lstm feature fusion network.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Motor imagery eeg classification algorithm based on cnn-lstm feature fusion network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.379278Z

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.

Observation 9053e307-07a6-4498-95c5-8c40634e2485 · outbound

This paper cites Transformer-based Spatial-Temporal Feature Learning for EEG Decoding.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:26:13.505501Z

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.

Observation d5c49160-8eb3-4cbc-a5e6-07b9cab3a5d5 · outbound

This paper cites Learning multiple tasks with multilinear relationship networks.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Learning multiple tasks with multilinear relationship networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.394765Z

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.

Observation 8707d600-84ac-40a7-9c84-668ad2a86b0c · outbound

This paper cites Fully- adaptive feature sharing in multi-task networks with applications in person attribute classification.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation Fully- adaptive feature sharing in multi-task networks with applications in person attribute classification

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.319701Z

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.

Observation 4b8dbef2-5acb-4238-819a-b253bd8e21a6 · outbound

This paper cites LibMTL: A Python Library for Multi-Task Learning.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation LibMTL: A Python Library for Multi-Task Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:26:13.455184Z

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.

Observation c4cbfc88-cb61-4ae7-b4c2-1789e5640ca6 · outbound

This paper cites PyHealth: A deep learning toolkit for healthcare predictive modeling.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation PyHealth: A deep learning toolkit for healthcare predictive modeling

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:28:23.323605Z

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.

Observation 5f4a96da-4dd9-426e-a511-67f4096c1008 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation LoRA: Low-Rank Adaptation of Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:26:13.465350Z

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.

Pith citing papers

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

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration cites this paper.

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

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:44:48.803186Z

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.