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Paper Citation Record · LEDGER

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.16350.

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

pith.paper-citation-record.v1
2607.16350 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:46:07.680843Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

39 of 39 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd2e4aaf-5a76-48d2-9646-b938aa1e71a5 · outbound

This paper cites Enhanced elderly activity recognition in smart home environ- ments using ConvLSTM2D with localization.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Enhanced elderly activity recognition in smart home environ- ments using ConvLSTM2D with localization

Reference 1

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Observation e1780998-24b1-4492-bc7b-aeaed547da4e · outbound

This paper cites Enhancing Dynamic Human Activity Recog- nition Through a Novel Martingale-Based Algorithm for Change Detection.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Enhancing Dynamic Human Activity Recog- nition Through a Novel Martingale-Based Algorithm for Change Detection

Reference 2

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Observation 576928d2-f02c-4892-82a9-d2eecfcdc6af · outbound

This paper cites IoT framework for sports activity safety monitoring based on wearable sensors and CRNN spatiotemporal analysis.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition IoT framework for sports activity safety monitoring based on wearable sensors and CRNN spatiotemporal analysis

Reference 3

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Observation cb531aec-0b9e-4c80-89b5-982085bc78bf · outbound

This paper cites Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task

Reference 4

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Observation 6b275228-364a-42d0-a8f9-f19ee87fd4fc · outbound

This paper cites Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Self-supervised learning for human activity recognition using 700,000 person-days of wearable data

Reference 5

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source=pdf_text observed=2026-08-01T22:46:05.387336Z digest=sha256:b52b821ebf3a649736ae81f48ac62bb5754fa4812f6ffa93abe66da873a3f1c7

Observation 0d5d0405-08a6-4e00-8c87-5d4422f80551 · outbound

This paper cites SelfPAB: large-scale pre-training on ac- celerometer data for human activity recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition SelfPAB: large-scale pre-training on ac- celerometer data for human activity recognition

Reference 6

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source=pdf_text observed=2026-08-01T22:46:05.468763Z digest=sha256:ceafb7342631fbf80ef341fd1c286c3ea9f46b06110d5b2ea7d411c0b7adfaea

Observation 4ebe7a98-6765-42bf-8e50-72948dc42a61 · outbound

This paper cites Temporal Contrastive Learning for Sensor- Based Human Activity Recognition: A Self-Supervised Approach.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Temporal Contrastive Learning for Sensor- Based Human Activity Recognition: A Self-Supervised Approach

Reference 7

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Observation 477e5dcb-24d7-4a2a-ac0a-9a003b69ab5c · outbound

This paper cites TFC: Time–frequency contrasting net- work for wearable-based human activity recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition TFC: Time–frequency contrasting net- work for wearable-based human activity recognition

Reference 8

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source=pdf_text observed=2026-08-01T22:46:05.617905Z digest=sha256:3e269581f1c98f7f7d3a28d82f9d4be5527a4209f494efb46b9c08eb21c71543

Observation 725d5300-aaf3-4ba9-86ec-195f81ad4fbb · outbound

This paper cites Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Reference 9

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Observation 5630b57c-737e-42e0-9bbd-f893a3c6ec4b · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 10

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Observation c5bd9940-76ad-4efb-ac76-f73835c66050 · outbound

This paper cites Deep similarity segmentation model for sensor-based activity recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Deep similarity segmentation model for sensor-based activity recognition

Reference 11

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source=pdf_text observed=2026-08-01T22:46:05.799038Z digest=sha256:4c5f4cebacc6636cc42fb1c53c0f105440b3d5b76d671e86e9459f425892f329

Observation 6ead89ba-3605-4779-83f9-12db7275ce69 · outbound

This paper cites Deep Temporal Conv-LSTM for Activity Recog- nition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Deep Temporal Conv-LSTM for Activity Recog- nition

Reference 12

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source=pdf_text observed=2026-08-01T22:46:05.861680Z digest=sha256:244aeb373d260d20c44289467a17ba45bc97b6e2cd4a517e11f609ec7186b56a

Observation fc23a24c-f65f-4ce1-a494-bd5eac4f2da2 · outbound

This paper cites Retentive-HAR: Human Activity Recognition from Wearable Sensors with Enhanced Temporal and Inter-Feature Dependency Retention.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Retentive-HAR: Human Activity Recognition from Wearable Sensors with Enhanced Temporal and Inter-Feature Dependency Retention

Reference 13

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Observation 00074516-fead-42b7-a9ad-2092cba832f6 · outbound

This paper cites Feature learning using convolutional denoising autoencoder for activity recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Feature learning using convolutional denoising autoencoder for activity recognition

Reference 14

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Observation 83ab2a5f-311e-4a38-887b-698b875e6dd8 · outbound

This paper cites A GAN-based data augmentation method for human activity recognition via the caching ability.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition A GAN-based data augmentation method for human activity recognition via the caching ability

Reference 15

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source=pdf_text observed=2026-08-01T22:46:06.041805Z digest=sha256:f8064f4e29ee8c2f5402c6989a529743a9a2e0d170be591cdec53921f1dfb7ed

Observation 89d7d756-fe17-40f6-902e-66b02fba7656 · outbound

This paper cites Deep Learning in Human Activity Recognition with Wear- able Sensors: A Review on Advances.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Deep Learning in Human Activity Recognition with Wear- able Sensors: A Review on Advances

Reference 16

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source=pdf_text observed=2026-08-01T22:46:06.099088Z digest=sha256:e97f913934da9260c199bb58d1b65109d66a7805e26bdb24be7c5a624bcd57fa

Observation 828bb4ab-ce16-432b-ba75-81dbb82a8a4d · outbound

This paper cites ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

Reference 17

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source=pdf_text observed=2026-08-01T22:46:06.179855Z digest=sha256:8d4ef99735ff21aa01fb081fe8bd58186e035bc8f04c6f2b42fafe8ea45c7da3

Observation 173730b0-2b71-4022-94e6-76cebee67f7e · outbound

This paper cites A-JEPA: Joint-Embedding Predictive Architecture Can Listen.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition A-JEPA: Joint-Embedding Predictive Architecture Can Listen

Reference 18

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source=pdf_text observed=2026-08-01T22:46:06.235776Z digest=sha256:bd0b4d1e8cc2d75bfaf193294309526381efcddc57971ac1927df90cb3cd78b7

Observation 8b7c4702-41a1-4256-b744-ec10d5d77758 · outbound

This paper cites Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning

Reference 19

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source=pdf_text observed=2026-08-01T22:46:06.299864Z digest=sha256:8316ef7b9dd4b8d9f6a61ec1d57d93d2c5120bc35f1d830c6ea21cd978982c5f

Observation 044faf92-3263-42a3-8001-802681367ffe · outbound

This paper cites Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance

Reference 20

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source=pdf_text observed=2026-08-01T22:46:06.361165Z digest=sha256:7f09353f73395787c307a84bcf98d7e0beaaf1a96a00ddcfa6aae428af741ab4

Observation 229a4385-cbc2-4095-8308-d2a9bc04d518 · outbound

This paper cites Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture

Reference 21

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source=pdf_text observed=2026-08-01T22:46:06.467639Z digest=sha256:0d465221496255df40193590ee06cc74111998a6dc98c1602cba01e9fe876dd0

Observation 4dbb20a8-b125-42d3-a00e-e82ece2d0a91 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 22

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source=pdf_text observed=2026-08-01T22:46:06.543752Z digest=sha256:d4c916cff2db367e56b6b2a84cce798605daecb4dd692fbdbceaa5fe544b40c9

Observation 349ddbc1-ec03-477d-bdf2-9105249d5a2b · outbound

This paper cites BiJEPA: Bi-directional Joint Embedding Predictive Architecture for Symmetric Representation Learning.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition BiJEPA: Bi-directional Joint Embedding Predictive Architecture for Symmetric Representation Learning

Reference 23

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source=pdf_text observed=2026-08-01T22:46:06.596149Z digest=sha256:20ba4426d56e78dfce05b0ae885d9a5d41a4d808178b6e253fc3beaf681bf14d

Observation 487888f9-3d03-48e2-8a28-fa86399ff337 · outbound

This paper cites Radial-VCReg: More Informative Represen- tation Learning Through Radial Gaussianization.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Radial-VCReg: More Informative Represen- tation Learning Through Radial Gaussianization

Reference 24

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source=pdf_text observed=2026-08-01T22:46:06.655768Z digest=sha256:91215f81321d89b0922f73051f40b0d748ceb755140931175f629bbd6a145eba

Observation c933da56-9596-4569-a7e2-a96b6389a17b · outbound

This paper cites Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space

Reference 25

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Observation cb96d296-0c90-4f23-bbf2-c1fcb3ed7ee3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Decoupled Weight Decay Regularization

Reference 26

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Observation 72b7ad0b-3245-4506-a840-d629f4c4add6 · outbound

This paper cites REALDISP Activity Recognition Dataset.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition REALDISP Activity Recognition Dataset

Reference 27

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doi, observed 2026-08-01T22:48:42.804714Z

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Observation 21ba8d4b-d326-4b60-a61c-5f4273ba2116 · outbound

This paper cites Transition-Aware Human Ac- tivity Recognition Using Smartphones.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Transition-Aware Human Ac- tivity Recognition Using Smartphones

Reference 28

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Observation 5b5ee2ff-9e6b-4ef4-8b4d-c00c0867a3ba · outbound

This paper cites The FORTH-TRACE dataset for human activity recognition of simple activities and postural transitions using a Body Area Network.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition The FORTH-TRACE dataset for human activity recognition of simple activities and postural transitions using a Body Area Network

Reference 29

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source=pdf_text observed=2026-08-01T22:46:07.133113Z digest=sha256:d77a5f5060ca7421038613f3800303c5728a491708f8cb7afca6d99571a05428

Observation a1d884d2-dd04-4daf-b545-12750c095452 · outbound

This paper cites Similarity Segmentation Approach for Sensor-Based Activity Recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Similarity Segmentation Approach for Sensor-Based Activity Recognition

Reference 30

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Observation 091d1ffa-6ccc-4da9-b118-51cfd321efd1 · outbound

This paper cites A systematic review of smartphone-based human activity recognition methods for health research.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition A systematic review of smartphone-based human activity recognition methods for health research

Reference 31

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Observation 70949e60-65e5-4ee2-a103-ba22107d501f · outbound

This paper cites Similarity Segmentation Approach for Sensor-Based Activ- ity Recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Similarity Segmentation Approach for Sensor-Based Activ- ity Recognition

Reference 32

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source=pdf_text observed=2026-08-01T22:46:07.307381Z digest=sha256:d70ee878567b0b7c36d951d246d9be00b0722c083b480bc62f5cdced39c59123

Observation 869d1c54-39b6-4771-afa5-efb302948bf3 · outbound

This paper cites Deep similarity segmentation model for sensor-based activ- ity recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Deep similarity segmentation model for sensor-based activ- ity recognition

Reference 33

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source=pdf_text observed=2026-08-01T22:46:07.350096Z digest=sha256:6c3d223988aaab148d2568d24b2b8b1f54a052631aa305414b0232296ebc4b20

Observation 9e9e6248-b780-4e1e-aa5d-eed4852228df · outbound

This paper cites Detecting basic human activities and postural transition using robust machine learning techniques by applying dimensionality reduction methods.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Detecting basic human activities and postural transition using robust machine learning techniques by applying dimensionality reduction methods

Reference 34

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source=pdf_text observed=2026-08-01T22:46:07.423214Z digest=sha256:f2addb69a62aa8ccddf3fc84cd0b2f48b4fae4026f4ec88d1318f40f02592fb1

Observation 74e82733-7506-4f0e-975c-eb3298043135 · outbound

This paper cites A novel hybrid deep learning model for human activity recognition based on transitional activities.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition A novel hybrid deep learning model for human activity recognition based on transitional activities

Reference 35

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source=pdf_text observed=2026-08-01T22:46:07.460699Z digest=sha256:f985a109093e8ac696bdaf0248823b0d34635a3bb28eb57fed3ebfe20441f1d2

Observation e6294cb1-64ef-4e5a-ad93-8bd56471870a · outbound

This paper cites RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition

Reference 36

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Observation c38f6b9e-8ef9-4e0b-99f6-9acff49e845d · outbound

This paper cites Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition

Reference 37

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Observation 8fa8eeb1-2faf-41e6-a14e-4c80d0d5b977 · outbound

This paper cites Subject Invariant Contrastive Learning for Human Activity Recognition.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Subject Invariant Contrastive Learning for Human Activity Recognition

Reference 38

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Observation 729111b1-a90b-4742-9871-97627119e582 · outbound

This paper cites Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance.

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance

Reference 2024

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Pith citing papers

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