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Paper Citation Record · LEDGER

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.00061.

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

pith.paper-citation-record.v1
2507.00061 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:18:29.042241Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T01:32:47.613934Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:37:43.469090Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact14
  • verified fuzzy5
  • unresolved13
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef680334-74d5-4a2e-aae0-8e204fe0b307 · outbound

This paper cites Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables

Reference 1

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Observation b9b9e181-0dac-40d9-a8c5-a03260cba231 · outbound

This paper cites Extending Stress Detection Reproducibility to Consumer Wearable Sensors.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Extending Stress Detection Reproducibility to Consumer Wearable Sensors

Reference 2

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Observation d4631090-6b50-416e-b215-c0f9940317cd · outbound

This paper cites Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review

Reference 3

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Observation 28966c81-a6df-4081-84c2-e35895f4de95 · outbound

This paper cites A Survey on Human Activity Recognition Using Deep Learning Techniques and Wearable Sensor Data.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data A Survey on Human Activity Recognition Using Deep Learning Techniques and Wearable Sensor Data

Reference 4

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doi, observed 2026-08-06T22:18:32.836887Z

Source-reported events for the cited work

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Observation 4b8473ff-3068-44e3-8750-6421ab7c8704 · outbound

This paper cites Context-Aware Complex Human Activity Recognition Using Hybrid Deep Learning Models.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Context-Aware Complex Human Activity Recognition Using Hybrid Deep Learning Models

Reference 5

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doi, observed 2026-08-06T22:18:32.572712Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a75c4c4c-cdc5-4924-a6b1-ad71c6481464 · outbound

This paper cites Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks

Reference 6

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Observation 61899adf-a291-4229-ba32-1b0e3d29f15f · outbound

This paper cites Physical Human Activity Recognition Using Wearable Sensors.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Physical Human Activity Recognition Using Wearable Sensors

Reference 7

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doi, observed 2026-08-06T22:18:32.352492Z

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Observation 7d4a7e4d-e961-4fe6-8495-d8d121f0e128 · outbound

This paper cites A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biome- chanics.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biome- chanics

Reference 8

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Observation b0330341-b5f9-4e69-a147-426bb94e4048 · outbound

This paper cites A Comprehensive Comparison of Simple Step Counting Techniques Using Wrist- and Ankle-mounted Accelerometer and Gyroscope Signals.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data A Comprehensive Comparison of Simple Step Counting Techniques Using Wrist- and Ankle-mounted Accelerometer and Gyroscope Signals

Reference 9

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Observation 783bd3a5-4284-437a-a419-0ef84c19eeec · outbound

This paper cites Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ae066763-d637-4aa3-8c52-fbdfa727a1b7 · outbound

This paper cites The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

Reference 11

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Observation f2a563c6-055d-487b-81ca-6b41b3212ae2 · outbound

This paper cites A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living

Reference 12

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Observation 543d6a03-6e90-4f2f-b6de-f4e668368403 · outbound

This paper cites Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology

Reference 13

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doi, observed 2026-08-06T22:18:31.467026Z

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Observation 7496d9ab-aa44-4a4b-ae59-b9058ab9edb0 · outbound

This paper cites Monitoring Sleep and Nightly Recovery with Wrist-Worn Wearables: Links to Training Load and Performance Adaptations.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Monitoring Sleep and Nightly Recovery with Wrist-Worn Wearables: Links to Training Load and Performance Adaptations

Reference 14

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5d583f62-2622-4155-ac7d-8ab5fd5b4e85 · outbound

This paper cites Sleep Classification From Wrist-worn Accelerometer Data Using Random Forests.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Sleep Classification From Wrist-worn Accelerometer Data Using Random Forests

Reference 15

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doi, observed 2026-08-06T22:18:30.847249Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e4a4a393-e392-4152-8b75-28cb80423640 · outbound

This paper cites Device Position-Independent Human Activity Recognition with Wearable Sensors Using Deep Neural Networks.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Device Position-Independent Human Activity Recognition with Wearable Sensors Using Deep Neural Networks

Reference 16

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Observation 95e03505-cdda-480f-a1e7-3ff79cdd4b7b · outbound

This paper cites FedOpenHAR: Federated Multitask Transfer Learning for Sensor- Based Human Activity Recognition.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data FedOpenHAR: Federated Multitask Transfer Learning for Sensor- Based Human Activity Recognition

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72e86be2-6c1b-458a-a5c1-50429b156d70 · outbound

This paper cites Accurate Human Activity Recognition with Multi-task Learning.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Accurate Human Activity Recognition with Multi-task Learning

Reference 18

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Observation b4b91db3-0e8e-4f78-924f-c12b796a83c5 · outbound

This paper cites Multitask Learning.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Multitask Learning

Reference 19

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source=pdf_text observed=2026-08-06T22:18:26.664829Z digest=sha256:20c4c3ccdf7b87c0d38db374c12a103e3ebb4ca17e25d724a4f0c0f6a79e632f

Observation 8b9a685a-dc59-4898-959a-2d3bcae9dc7b · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data An Overview of Multi-Task Learning in Deep Neural Networks

Reference 20

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Observation 37ba2a39-70a6-4c07-b735-39e5c6fd3891 · outbound

This paper cites Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Reference 21

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Observation 4caed75a-d2f2-410c-9990-b761ee9ec8ab · outbound

This paper cites Multi-Task Learning as Multi-Objective Optimization.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Multi-Task Learning as Multi-Objective Optimization

Reference 22

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Observation d03f71e9-fd35-4986-a641-d4e7073dd449 · outbound

This paper cites ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

Reference 23

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local_arxiv, observed 2026-08-06T22:18:30.096269Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c13145f7-099d-4ee0-a415-dba454b8379d · outbound

This paper cites Knowledge Distillation for Multi-task Learning.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Knowledge Distillation for Multi-task Learning

Reference 24

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local_arxiv, observed 2026-08-06T22:18:29.835414Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 302ba42b-205f-4c40-a2cb-ed0ae71806a5 · outbound

This paper cites SD-MTCNN: Self-Distilled Multi-Task CNN.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data SD-MTCNN: Self-Distilled Multi-Task CNN

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:18:27.213055Z digest=sha256:3c42f08da11d4c33ce9eff910196df9bee336af2011cb16c211d19c5dc6871a3

Observation d0a45e66-2e02-4422-836e-bfd657515e83 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Distilling the Knowledge in a Neural Network

Reference 26

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source=pdf_text observed=2026-08-06T22:18:27.304892Z digest=sha256:93fe7dff66b140c6225acdaa20639943ae8a896751a5e0df91c1a3a3188afac1

Observation 91880fd2-6a74-4271-b77d-bd54ccd2bb47 · outbound

This paper cites Knowledge Distillation: A Survey.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Knowledge Distillation: A Survey

Reference 27

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source=pdf_text observed=2026-08-06T22:18:27.406937Z digest=sha256:51694ca37926244285bbf4187d0772237dd4e00d5f4ff8786f98c431063675b8

Observation 0f94c526-5037-4446-9fb4-bb6269b34c3a · outbound

This paper cites Revisiting Self-Distillation.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Revisiting Self-Distillation

Reference 28

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source=pdf_text observed=2026-08-06T22:18:27.515218Z digest=sha256:51b7773a97a8ba7d1951b0ce5be68154f034dee83a75fc0eb75ed6ec9cce7f1f

Observation a2109b99-9e9b-42b3-960d-a8ed07920748 · outbound

This paper cites Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation

Reference 29

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2b64802c-c3a1-4e9f-b78c-773770b1ffa6 · outbound

This paper cites Self-Distilled Representation Learning for Time Series.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Self-Distilled Representation Learning for Time Series

Reference 30

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local_arxiv, observed 2026-08-06T22:18:29.595443Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:18:27.995088Z digest=sha256:da57b944d953c4ed96e50550a10e29c52574ea16f672ac779203f2333795fbeb

Observation 58d771da-65c8-4882-be9a-d22d7c73d208 · outbound

This paper cites Born Again Neural Networks.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Born Again Neural Networks

Reference 31

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source=pdf_text observed=2026-08-06T22:18:28.165168Z digest=sha256:b074b81d13b3169f0c2bc18f672667939c797ff70c803c668687326b227eb3bb

Observation 6cc2d29c-592c-4701-94ac-997daae07f4c · outbound

This paper cites ADXL345 3-Axis, ±16 g, Digital Accelerometer.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data ADXL345 3-Axis, ±16 g, Digital Accelerometer

Reference 32

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raw_fallback, observed 2026-08-06T22:18:34.431121Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:18:28.335884Z digest=sha256:71398ba6af2d4ca001aba230f369218376de115ad0470026ff66f2a9036507a6

Observation 25034fda-3b5b-467a-8fbf-bf1da6a8e98c · outbound

This paper cites an unresolved cited work.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-06T22:18:28.469969Z digest=sha256:92fb2e1f2d31552288761b29e4488b1d93b6aea84bcfc37e589e2c033f0ac4fc

Observation 843a9551-4486-4948-a77b-c67e20cf9052 · outbound

This paper cites Shimmer Sensing Homepage.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Shimmer Sensing Homepage

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T22:18:34.132839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:18:28.576223Z digest=sha256:1501a903ec708be1bec7b36ca914159fd5f9540405273ceba2115e2d13aa2c2a

Observation cd673d9d-994d-4045-9c07-23f93b16c2ba · outbound

This paper cites WISDM Smartphone and Smartwatch Activity and Biometrics Dataset.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data WISDM Smartphone and Smartwatch Activity and Biometrics Dataset

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:28.734847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:28.734847Z digest=sha256:10b082ee8f17a1284c877fe762a8d02904b7583e5cca8fb725da58c2f21cda33

Observation a9ce2d2f-e9c3-4cec-84b6-8197e766ee0d · outbound

This paper cites Self-Knowledge Distillation via Dropout.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Self-Knowledge Distillation via Dropout

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:28.863132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:28.863132Z digest=sha256:17f46d2af735cb622b7118021cee71d100070bebf5054d2b4add515b88ad71e3

Observation bd691419-14c6-4f07-be3f-f0d2578724ac · outbound

This paper cites Human Sleep Position Classification Using A Lightweight Model And Acceleration Data.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data Human Sleep Position Classification Using A Lightweight Model And Acceleration Data

Reference 37

Resolution
verified exact
doi, observed 2026-08-06T22:18:29.303388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:18:29.042241Z digest=sha256:2df5bfa16892f2d08757b764507ce006afc07f76a1a0b5707ff4f2b36c492250

Observation f1880323-add9-41ca-8708-da74f7f9dee3 · outbound

This paper cites URL: https://openreview.net/forum?id=nhtkdCvVLIh.

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data URL: https://openreview.net/forum?id=nhtkdCvVLIh

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:18:34.709388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:18:27.689967Z digest=sha256:171cdfda8f8399862046465b0dc94adb2d6b11a2867a2b9733cbe51dc398b7cd

Pith citing papers

Observation 070e0058-c073-4e35-98af-ee492af97cec · inbound

Inertia-1: An Open Exploration of Wearable Motion Foundation Models cites this paper.

Inertia-1: An Open Exploration of Wearable Motion Foundation Models Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-11T01:37:43.500876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-11T01:32:47.613934Z digest=sha256:e64533b9e8b9e6f3cc872c264cc75e1379bf0cfca3bfa0be5d0d575523f1f1ec