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Paper Citation Record · LEDGER

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data

As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2508.18630.

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

pith.paper-citation-record.v1
2508.18630 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:24:14.565058Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

56 of 56 outbound references displayed

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  • verified fuzzy48
  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54f7016e-cf86-4169-8d0d-f2aa6277fd1a · outbound

This paper cites Deep learning for time series classification: a review,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Deep learning for time series classification: a review,

Reference 1

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Observation c3377c51-7aaa-47d5-8fb1-22365a130434 · outbound

This paper cites A systematic study of unsupervised domain adaptation for robust human- activity recognition,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data A systematic study of unsupervised domain adaptation for robust human- activity recognition,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation db6a3b09-9eb1-44ab-b204-a91c308b067a · outbound

This paper cites Collecting com- plex activity datasets in highly rich networked sensor environments,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Collecting com- plex activity datasets in highly rich networked sensor environments,

Reference 3

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Observation 2106a1b2-692a-43f8-b29a-de1c3a50131e · outbound

This paper cites Adast: Attentive cross-domain eeg-based sleep staging framework with iterative self-training,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Adast: Attentive cross-domain eeg-based sleep staging framework with iterative self-training,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dcab9b30-074b-46b7-aadd-97da19375caa · outbound

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

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiologic signals,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c09802e3-38e2-4b5d-962a-a468145f2f37 · outbound

This paper cites A decade survey of transfer learning (2010–2020),.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data A decade survey of transfer learning (2010–2020),

Reference 6

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Source-reported events for the cited work

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Observation 8e6c27d5-d8f2-454f-9045-49f51ec8b4a4 · outbound

This paper cites Self-supervised pose adaptation for cross- domain image animation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Self-supervised pose adaptation for cross- domain image animation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8bda821d-6f49-4b0b-aeaa-141805393e6e · outbound

This paper cites Multiple graphs and low-rank embedding for multi-source heterogeneous domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Multiple graphs and low-rank embedding for multi-source heterogeneous domain adaptation,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation db5058fe-e4d0-4304-904e-23cc71f2f266 · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Deep coral: Correlation alignment for deep domain adaptation,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fbfb741c-ad31-4ab9-abd4-4efe2f95a253 · outbound

This paper cites Homm: Higher-order moment matching for unsupervised domain adap- tation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Homm: Higher-order moment matching for unsupervised domain adap- tation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 00945e47-f3af-40a8-8815-84b06cb53113 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Deep Domain Confusion: Maximizing for Domain Invariance

Reference 11

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Source-reported events for the cited work

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Observation 23448b24-df71-42c6-aad4-edcf830e775e · outbound

This paper cites Deep subdomain adaptation network for image classification,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Deep subdomain adaptation network for image classification,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 84a975f3-e3ab-4d29-b568-7793df192877 · outbound

This paper cites Domain-adversarial training of neural networks,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Domain-adversarial training of neural networks,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 79b4656b-8e3d-42b5-85fc-eaa5faff611e · outbound

This paper cites Conditional adversarial domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Conditional adversarial domain adaptation,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T16:24:15.250015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 951fe722-eb31-4b3b-b70f-487dfac4bcd5 · outbound

This paper cites Self- supervised autoregressive domain adaptation for time series data,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Self- supervised autoregressive domain adaptation for time series data,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T16:24:15.236336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 877cf81b-448c-4c3f-a3fd-7ac667a41032 · outbound

This paper cites Adversarial spectral kernel matching for unsuper- vised time series domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Adversarial spectral kernel matching for unsuper- vised time series domain adaptation,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0de7c96a-68c9-450c-86d8-94963fe31828 · outbound

This paper cites Evidential deep learning to quantify classification uncertainty,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Evidential deep learning to quantify classification uncertainty,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 04aa8202-2e18-47d1-a47b-e7c5a49bc668 · outbound

This paper cites Deep evidential regression,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Deep evidential regression,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d71661c8-cefa-4507-8927-89cab2ddcac2 · outbound

This paper cites ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data

Reference 19

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5dbadadf-1ba6-4110-a161-f95941bbf90a · outbound

This paper cites Uncertainty awareness for unsupervised domain adaptation on human activity recognition,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Uncertainty awareness for unsupervised domain adaptation on human activity recognition,

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f2497aaa-2d3e-4da0-b434-392b5531b5bd · outbound

This paper cites Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set for data-driven classification,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set for data-driven classification,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0a665cc7-ba47-4aa1-94f2-f885a2e2208e · outbound

This paper cites Return of frustratingly easy domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Return of frustratingly easy domain adaptation,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 463202ad-0b6c-4f33-bcb5-d42096924ca8 · outbound

This paper cites Domain adaptation via transfer component analysis,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Domain adaptation via transfer component analysis,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5e7587be-275e-412c-bbbb-59424fbcbe30 · outbound

This paper cites Multi-source deep do- main adaptation with weak supervision for time-series sensor data,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Multi-source deep do- main adaptation with weak supervision for time-series sensor data,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T16:24:15.111283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5a1d3167-9083-47f0-9f59-63f310f5ded9 · outbound

This paper cites Fedcov: Enhanced trustworthy federated learning for machine rul prediction with continuous-to-discrete conversion,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Fedcov: Enhanced trustworthy federated learning for machine rul prediction with continuous-to-discrete conversion,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c8e10e5a-2a6b-424e-83b3-f2d11416b643 · outbound

This paper cites Bayesian uncertainty calibration for federated time series analysis,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Bayesian uncertainty calibration for federated time series analysis,

Reference 26

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raw_fallback, observed 2026-08-05T16:24:15.080591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e386d5dd-af6c-4e4e-abb6-2324d181bf65 · outbound

This paper cites Harmonizing base and novel classes: A class-contrastive approach for generalized few-shot segmentation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Harmonizing base and novel classes: A class-contrastive approach for generalized few-shot segmentation,

Reference 27

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fd2e1075-6b85-43fb-819c-67dcfc37d120 · outbound

This paper cites Cau: A causality attention unit for spatial-temporal sequence forecast,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Cau: A causality attention unit for spatial-temporal sequence forecast,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T16:24:15.055202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8cfce820-a075-4684-a146-427b03029c37 · outbound

This paper cites Crnet: Cross-reference networks for few-shot segmentation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Crnet: Cross-reference networks for few-shot segmentation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:15.040758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.452308Z digest=sha256:8df333eae44b64f7599c08be73afa3e0e53030f83d8ed3ca536da9c10701dcb2

Observation 76b7cbbc-9378-45e3-bbe3-770113b658a4 · outbound

This paper cites Variational recurrent adversarial deep domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Variational recurrent adversarial deep domain adaptation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:15.026133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.456338Z digest=sha256:48d5e64d4d77e8e94e1311505c8c833c635e2c3de195abec1bc69d0fe4538fd3

Observation 71b51961-121b-48d5-af45-ad48d1699426 · outbound

This paper cites Multi-source deep domain adaptation with weak supervision for time-series sensor data,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Multi-source deep domain adaptation with weak supervision for time-series sensor data,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:15.011827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.460325Z digest=sha256:b6ec02a26a42de275106085fa01f5c1db1137b9272849efc344cffd7c34b9bd5

Observation be91927d-0599-4426-ba4d-8614277bec5a · outbound

This paper cites Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:24:14.645695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.464300Z digest=sha256:37c4c5c4936a7503afd5d30e053c268722376cf08510fef97a7b8bfa3e702a9e

Observation d1e162b3-e6ac-4676-89db-8480dafb4913 · outbound

This paper cites Domain adaptation for time-series classification to mitigate covariate shift,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Domain adaptation for time-series classification to mitigate covariate shift,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.998239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.468961Z digest=sha256:dbda2354290f30dd482e0723bcec3e877a611d1312db4743799b488b41b06ddc

Observation 54205958-286b-4db2-9548-0c38baa67638 · outbound

This paper cites Domain adaptation for time series forecasting via attention sharing,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Domain adaptation for time series forecasting via attention sharing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.984457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.472860Z digest=sha256:020a26126162e123cef58364228e3755ec91ce39a252c489db1e4e43577b3748

Observation 3f940ac5-fb17-42f0-abbc-4c862d880966 · outbound

This paper cites Calda: Improving multi-source time series domain adaptation with contrastive adversarial learning,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Calda: Improving multi-source time series domain adaptation with contrastive adversarial learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.971422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.480938Z digest=sha256:9e30ea0340674f5d4ecee41e4f60fa26c471d5ebfb2c59361208509d07e743a5

Observation 21302f37-4543-400d-ae29-66984b253224 · outbound

This paper cites Toward practical factory activity recognition: unsupervised understanding of repetitive as- sembly work in a factory,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Toward practical factory activity recognition: unsupervised understanding of repetitive as- sembly work in a factory,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.958035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.484906Z digest=sha256:922abd7a34f45455192ff848d20c67f86ec83be0b2a69d05476b3742f7a863b9

Observation 0cfe6577-82a9-4582-b9dc-0954c81c30de · outbound

This paper cites an unresolved cited work.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:24:14.944015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.488628Z digest=sha256:6c5886bdbd3d05d940815ad929f53480cbeff32f4195de6899b3a77f4c4107d4

Observation 7ab5a4ac-60ef-41a3-8584-ac4980a5a44e · outbound

This paper cites Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T16:24:14.492816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:24:14.492816Z digest=sha256:790e35dfde8f519e2c5f558e3675255785e75230c0732424c7a00f9f33326c17

Observation e394caa2-f461-4fc4-9ebf-e652e60a97d5 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.930148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.497073Z digest=sha256:2275402868287146ac8b2d57154fee91d30b57216b003d744e256af0bc5adbd7

Observation 15c97423-8a53-4327-81f7-cf150ae14163 · outbound

This paper cites Depth uncertainty in neural networks,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Depth uncertainty in neural networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.915179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.500848Z digest=sha256:5a86e0d77dc83e1ae65e0968df9cbe989dd68bfb631702e6c446a4d330f4711c

Observation 657c411c-0205-4cf0-a2e0-c6a50d3487ac · outbound

This paper cites Uncertainty estimation using a single deep deterministic neural network,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Uncertainty estimation using a single deep deterministic neural network,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.900563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.504805Z digest=sha256:f1fe481a4f7dbf0cb52b2cb7a80c58e82513540fc415fc7ff780af6c2895c5b9

Observation 7bc40e6c-c84e-4d4a-b2d2-5588d253eda2 · outbound

This paper cites Induction of multiscale temporal structure,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Induction of multiscale temporal structure,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.886258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.508890Z digest=sha256:25fa73e36b937173654f363e88cc5a49cf8d50b25fff08f7f0e494ea353e2dec

Observation 192f182d-a634-4128-b9cf-40423ad541d5 · outbound

This paper cites Adatime: A benchmarking suite for domain adaptation on time series data,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Adatime: A benchmarking suite for domain adaptation on time series data,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.872344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.513278Z digest=sha256:2721d212e961c4e283a918c64829b6a99215799b7a973f2e5d7638934cb34c0f

Observation 01bf38e6-cb36-4a9c-89db-4deff0830b6b · outbound

This paper cites A public domain dataset for human activity recognition using smartphones,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data A public domain dataset for human activity recognition using smartphones,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.857747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.517106Z digest=sha256:5e88e68614bd7112c9526ad164f1fbdf34200be7f429328c08f9b9cf699c584b

Observation 3b22d115-ecdd-4275-a16e-691aeeaf6471 · outbound

This paper cites Activity recognition using cell phone accelerometers,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Activity recognition using cell phone accelerometers,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.843833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.521285Z digest=sha256:a8664ffaf4aa89e3b01f10c0579b1a6baf01129315d6e58f7ae95dba71fd7621

Observation bbfaef8c-b3d7-4bc0-8e03-81c842049063 · outbound

This paper cites Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.829528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.525822Z digest=sha256:fce2fe1e3fc94d136d8f0a6cf185f08df10d02ee99e4b50ab3fb9493fca6731b

Observation 228d6c82-76eb-47a9-b50b-14c8f403eae8 · outbound

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

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Physiobank, physiotoolkit, and physionet: components of a new re- search resource for complex physiologic signals,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.815209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.529740Z digest=sha256:a13ab78a0685f4d84696acb931f5cd9c847c3ede16b508cb7dff9ffab7815094

Observation dcdb91ae-9adc-4f7d-8f0f-12a8210f7a44 · outbound

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

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data An attention-based deep learning approach for sleep stage classification with single-channel eeg,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.800213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.533724Z digest=sha256:d26ed1c86f756564beee2c5c90e2f2f6f4078d4feeb2bc218dc77cba4a4c9154

Observation 6924c505-779c-4d81-8052-43ab24a92fb7 · outbound

This paper cites Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set 16 for data-driven classification,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set 16 for data-driven classification,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.786060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.537607Z digest=sha256:b26805a5763af342b55021007915b75923c2c5cb9d5345acd0900145df42c521

Observation 3b21fba2-df3e-4ae1-9f28-9274d65e9601 · outbound

This paper cites Correlation alignment for unsuper- vised domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Correlation alignment for unsuper- vised domain adaptation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.770466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.541346Z digest=sha256:97302bdac90ea5dc66e5d735c137e4fd58aac3dba30f4d88fa3673703f2be3e9

Observation 8620b40b-4d89-44f6-ba46-707cb54a6dc7 · outbound

This paper cites Domain-adversarial training of neural networks,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Domain-adversarial training of neural networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.754259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.545340Z digest=sha256:cb0daa49aa8fe1ecc0ec28cf27baa63dd93ad1691915fe56acb100845714a852

Observation 4ece04b1-de20-4559-aed2-41383c308f2d · outbound

This paper cites an unresolved cited work.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:24:14.740222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.549196Z digest=sha256:be8762c8fb161d8fc12afd3cb74367f932db58537470fc3a9cac7b8d9735216a

Observation 67cb0903-3231-47e0-b302-4c4ad4c1a9f6 · outbound

This paper cites A dirt-t approach to unsu- pervised domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data A dirt-t approach to unsu- pervised domain adaptation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.726415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.553396Z digest=sha256:e34506fc2351765ef8af524f8c746d9ccd047f4e5eda76daed759d2043c11aeb

Observation 5de41760-148d-45c2-84cc-ae06ce60b594 · outbound

This paper cites Adversarial spectral kernel matching for unsuper- vised time series domain adaptation,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Adversarial spectral kernel matching for unsuper- vised time series domain adaptation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.711704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.557326Z digest=sha256:1b3dcc2fa78416515fff7b0c0d7a3672c91edfa6db19e7400df475511341d1b8

Observation 7467243e-22e1-4c49-be39-5c02e3791541 · outbound

This paper cites Time series domain adaptation via sparse associative struc- ture alignment,.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Time series domain adaptation via sparse associative struc- ture alignment,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:24:14.697407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.561113Z digest=sha256:2b1f81ebfaa2ada399eadacf21a50cd570e5b1187187c379edca92038d90feff

Observation e53c8707-bd1b-40fb-a2a1-808086b3ab1e · outbound

This paper cites Contrastive Learning for Unsupervised Domain Adaptation of Time Series.

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data Contrastive Learning for Unsupervised Domain Adaptation of Time Series

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:24:14.624398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:24:14.565058Z digest=sha256:4a4630dfd7804cb4362587a550a10ef3d8f4061829679c5e38bafbc8ae02198d

Pith citing papers

No inbound Pith citation observations are available.