Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:24.994750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:24.994750Z digest=sha256:a5b42b61d6df62c3d15a6531e5934cdb77200b1f142053ce24472ae514739380

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:25.076819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:25.076819Z digest=sha256:47433c0709d379df2c3f3bf7ce8b39c10d0751518c9939876fe5cc5c2cdef3ef

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T22:18:25.111463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:25.111463Z digest=sha256:48069d8e15024af183c57403e9cda1ee856e6fa9577566f18bc30e8c6d08a474

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

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

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=2026-08-06T22:18:25.204955Z digest=sha256:d193a5dfed280e17a22fc3b9c71ed86226f0358817837d6ecefb56e3616b8fdc

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

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

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=2026-08-06T22:18:25.314944Z digest=sha256:2627e5076534cc303f966e4badaf7a62e941661c997c35b09ea3decdcd2f8055

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T22:18:35.598813Z

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=2026-08-06T22:18:25.424884Z digest=sha256:8deb9702a06585d46a5c987a2fcfd88ff7a960c663d4a793c6cb9d91097fe4c5

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

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

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=2026-08-06T22:18:25.504840Z digest=sha256:a634800773ef46013bf3f19097d3ec47e31ed0f16cc6a0a941afb2b1194f4703

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

Resolution
verified exact
doi, observed 2026-08-06T22:18:32.116283Z

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=2026-08-06T22:18:25.584883Z digest=sha256:398ec5164f4c2821e666caac53b12d5a84e8997912cdaa66eed284f6b9960280

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T22:18:33.790726Z

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=2026-08-06T22:18:25.654746Z digest=sha256:3d198a81819a26bee371e38eb6c9f0618e39f14344569aa3be1c767e2e03bea4

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

Resolution
verified exact
doi, observed 2026-08-06T22:18:31.938014Z

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=2026-08-06T22:18:25.754743Z digest=sha256:659aa263213cd681cf59f0aa4a9fc81d0ec4ff7e6a1b53751c8aa81de34d0f57

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T22:18:25.884744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:25.884744Z digest=sha256:f62d75ade2e1579cf65cc173f3fe0e213ad08e1a75c1f8ff1b81de25bf180730

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

Resolution
malformed identifier
doi_truncated, observed 2026-08-06T22:18:31.656179Z

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=2026-08-06T22:18:25.954832Z digest=sha256:30b01026f46cf717641acc792b2e0f36f35911272608e68e1d2e4c7ddb934afe

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

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

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=2026-08-06T22:18:26.084744Z digest=sha256:ed27cb2973d7808d9957144d54059ac5f847ba9d1d1bf2b75518824ce47c83c1

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

Resolution
verified exact
doi, observed 2026-08-06T22:18:31.148167Z

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=2026-08-06T22:18:26.159548Z digest=sha256:ebc0c536e2044879e565c22a68b3cfb75226e9ec37c0c45f32f7aa85e325e9a8

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

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

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=2026-08-06T22:18:26.220273Z digest=sha256:a4e086e8da6f182a3e7d8fb0223371d29f44c64e47d0291616b891ea0f48c769

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

Resolution
verified exact
doi, observed 2026-08-06T22:18:30.574391Z

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=2026-08-06T22:18:26.324995Z digest=sha256:440713b873f649f0c16f2bd17285bfbf6ef96459a3257595e28054e4163d6526

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

Resolution
verified exact
raw_fallback, observed 2026-08-06T22:18:33.325510Z

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=2026-08-06T22:18:26.414751Z digest=sha256:49ea9efafe9e8c21f7ae169596397a78e8eb4c713077452fffebb76b8f80b94e

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

Resolution
malformed identifier
doi_truncated, observed 2026-08-06T22:18:30.338194Z

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=2026-08-06T22:18:26.554751Z digest=sha256:b0428ccda8d8c03265a18144fc0e8ebae4a468ad7824baa71750a0e4fd3805fc

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:26.664829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:26.664829Z digest=sha256:bdd5c60b25bcb2887ffd8d6eccf83ce697c5918deb53c43dd692624681a845eb

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:26.756196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:26.756196Z digest=sha256:0f4153f6bb269c185c74aecc09f33578408fca7a718563d4680afa072903f7cf

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:26.855060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:26.855060Z digest=sha256:f4150173ae460420d77c08e7bef4a8be7d0c117330868e23e79b8fd7fca8ab41

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:26.932721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:26.932721Z digest=sha256:9bae2202c6f06d5d5892afd3a6fd9b92c5c83eca24588e3a911bce92805ec2bb

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

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

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=2026-08-06T22:18:27.044852Z digest=sha256:1b75d0dcbf180c43f47f804b0654e45f76b16f4c48e2f2f93c2d1c84cd8edfea

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

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

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=2026-08-06T22:18:27.144957Z digest=sha256:ec96afbc29d0bde73eac63ca4925c31a1e1daaa48eda43b6aed9f10efb50b9d4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:18:35.342414Z

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=2026-08-06T22:18:27.213055Z digest=sha256:2bf08651e859cb88e99a585f8989b8e94d896b9dbd5ddb9c4efef77daec194cf

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:27.304892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:27.304892Z digest=sha256:050e17708a9103e19ce263014fef7eb93d65551be8e3ae15769ce2277002bc17

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:27.406937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:27.406937Z digest=sha256:8f1544d66f67e12f48576e5fcac295d10bb51ca6c01ea8b9a8e335534600a26c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:27.515218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:27.515218Z digest=sha256:276988329e0480671db3eebf6d6005f364b9dd949bb799cdb6ac05c02ea6e989

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:18:35.025834Z

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=2026-08-06T22:18:27.585245Z digest=sha256:f0c211960e8c1708b8bff7b8b2946e844200308747dcd872c09841bc938cfe12

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

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

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=2026-08-06T22:18:27.995088Z digest=sha256:15e51944b93206711c21581475d007041ffba479e7da93da9af0d37726faaa1b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:28.165168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:28.165168Z digest=sha256:b3fe0a4de0862db08ab4c407c50584cd9eba4cd2fe8a087fbe03e24d3e8a8c75

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

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

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=2026-08-06T22:18:28.335884Z digest=sha256:54f5102fcc1e0e2e44ab978dbf1e1271d1c37ad021c73bf993cee6e6f8d849c9

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:28.469969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:28.469969Z digest=sha256:11645599f5a1ece5d6b213c31f65a3bb6a3bc554eecd76db056984d29292610e

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:18:28.576223Z digest=sha256:5e55be8664d1da1f0b598537e9c56cc6758781469e888e02274d6c8befd6b0c3

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=sha256:323293f2dd763a968de96a8fdae8baaa59a1aadcb3d917a39ae10b15cb0f43eb

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=sha256:7f3ac884b84c7faf6464a86af7bbbd93c15e70cff7d7f376e37c9d8327c33e70

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:18:29.042241Z digest=sha256:40d0ba2f30845cfb28969c65c8841a446aa5d0a7d162df62129771e0cb32357f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:18:27.689967Z digest=sha256:a4e7aa1ca02a42a8e04353681ac8f971710202ec4ef627f870fbdc5eaec244ca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-11T01:32:47.613934Z digest=sha256:027230319cea166a8c5f3bcb0535bbcac62904ef133bdc122d74f02495a911aa