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Paper Citation Record · LEDGER

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition

As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2509.08225.

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

pith.paper-citation-record.v1
2509.08225 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

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measured 61 of 61 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation 37b5aa94-d13a-4301-9e82-ace083944487 · outbound

This paper cites Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi

Reference 1

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Observation 3e53facb-b5d4-40b0-98bf-2f435c2bb696 · outbound

This paper cites Large scale distributed neural network training through online distillation.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Large scale distributed neural network training through online distillation

Reference 2

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Observation ffe99104-6c09-4b83-814e-5106e75a27cc · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 3

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Observation e5e3ec25-733d-43df-86c0-90eb8029aab9 · outbound

This paper cites Recent advances in adversarial training for adversarial robustness.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Recent advances in adversarial training for adversarial robustness

Reference 4

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Observation bd7e10c6-3fbd-4302-aaa5-0b3256a3f267 · outbound

This paper cites Blei, Alp Kucukelbir, and Jon D.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Blei, Alp Kucukelbir, and Jon D

Reference 5

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This paper cites Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.Machine Learning, 110(5):1309–1354, 2021.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.Machine Learning, 110(5):1309–1354, 2021

Reference 6

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Observation 529b71bf-9955-419d-87bb-179a82ceeed3 · outbound

This paper cites Weight uncertainty in neural networks.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Weight uncertainty in neural networks

Reference 7

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Observation 88ff2065-15cd-4f43-af48-150bccb5b7b1 · outbound

This paper cites Curse of dimensionality in adversarial examples.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Curse of dimensionality in adversarial examples

Reference 8

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Observation f770545d-8ea1-4264-8277-e2a81f2a2e56 · outbound

This paper cites Deeplearningensembleforhyperspectralimageclassification.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deeplearningensembleforhyperspectralimageclassification

Reference 9

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Observation dddee14a-e5c8-46a5-ab93-3947f9197e24 · outbound

This paper cites An inves- tigation into smartphone based weakly supervised activity recognition systems.Pervasive and Mobile Computing, 56:45–56, 2019.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition An inves- tigation into smartphone based weakly supervised activity recognition systems.Pervasive and Mobile Computing, 56:45–56, 2019

Reference 10

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Observation 6c047273-199a-4dc5-a5e2-3a6f2a3ecf6b · outbound

This paper cites Lipton, Michael Tschannen, Laurent Itti, and Anima Anandkumar.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Lipton, Michael Tschannen, Laurent Itti, and Anima Anandkumar

Reference 11

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Observation 5be9cdd5-e84e-418a-b061-b8ceca8c2196 · outbound

This paper cites Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

Reference 12

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Observation d33bc08f-dfe2-46d0-b811-81040417c503 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 13

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Observation 271b33ca-b988-441e-9544-1f4bf98ec3d3 · outbound

This paper cites Sufficient conditions for robustness to adversarial examples: a theoretical and empirical study with bayesian neural networks, 2019.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sufficient conditions for robustness to adversarial examples: a theoretical and empirical study with bayesian neural networks, 2019

Reference 14

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Observation 9638e191-145d-42d7-b79f-2ec6ebd92924 · outbound

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 15

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Observation 532e1172-b993-49c8-92c4-ad105db62b9f · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Explaining and Harnessing Adversarial Examples

Reference 16

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Observation 2b4eeb16-8e62-45ec-a354-dacf22c5068f · outbound

This paper cites Maybank, and Dacheng Tao.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Maybank, and Dacheng Tao

Reference 17

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Observation 31ebc400-18c7-46a7-83b4-aeb3a3ec0ba8 · outbound

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Practical variational inference for neural networks

Reference 18

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Observation 86d0963c-7c2d-4794-84f5-578b5d953f68 · outbound

This paper cites Hammerla, Shane Halloran, and Thomas Plötz.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Hammerla, Shane Halloran, and Thomas Plötz

Reference 19

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Observation e8608856-a665-4950-ba8d-9603911672b9 · outbound

This paper cites Large language models memorize sensor datasets! implications on human activity recognition research, 2024.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Large language models memorize sensor datasets! implications on human activity recognition research, 2024

Reference 20

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Observation 3d3bef60-8466-4237-b293-08efca1fef41 · outbound

This paper cites Using self-supervised learning can improve model robustness and uncer- tainty.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Using self-supervised learning can improve model robustness and uncer- tainty

Reference 21

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Observation a826dfea-1949-430b-bbfb-68d3156984ca · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Distilling the Knowledge in a Neural Network

Reference 22

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Observation 62330d22-bd63-4d0d-bdf7-dee26766f7ed · outbound

This paper cites Detecting adversarial examples using data manifolds.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Detecting adversarial examples using data manifolds

Reference 23

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Observation d21126fe-8b68-4c34-ba32-990dd2a5d3bd · outbound

This paper cites HARGPT: Are LLMs zero-shot human activity recognizers?, 2024.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition HARGPT: Are LLMs zero-shot human activity recognizers?, 2024

Reference 24

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Observation d50ad3e6-dff5-444c-a76d-5880e4ba4151 · outbound

This paper cites Sampling- based self-supervised augmented contrast learning for movie recommen- dation systems.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sampling- based self-supervised augmented contrast learning for movie recommen- dation systems

Reference 25

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Observation 3622e34a-55fd-4162-ad8f-7a7332e7d47e · outbound

This paper cites Evaluating uncertainty estimation methods on 3d semantic segmentation of point clouds, 2020.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Evaluating uncertainty estimation methods on 3d semantic segmentation of point clouds, 2020

Reference 26

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Observation 57af82dc-9a49-4455-a76f-6c2ab412469b · outbound

This paper cites Distributional actor-critic ensemble for uncertainty-aware continuous control.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Distributional actor-critic ensemble for uncertainty-aware continuous control

Reference 27

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Observation de52d54d-919d-4130-b0aa-5aaea801b6ce · outbound

This paper cites On the Geometry of Adversarial Examples.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition On the Geometry of Adversarial Examples

Reference 28

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Observation 1c5d8bfc-c30c-4797-8c00-645a7270eae0 · outbound

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Large Language Models are Zero-Shot Reasoners

Reference 29

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Goodfellow, and Samy Bengio

Reference 30

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Observation 335a91b2-7227-43a6-a5e1-462d83fecbe1 · outbound

This paper cites Towards unsuper- vised image captioning with shared multimodal embeddings.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Towards unsuper- vised image captioning with shared multimodal embeddings

Reference 31

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This paper cites Sim- ple and scalable predictive uncertainty estimation using deep ensembles.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sim- ple and scalable predictive uncertainty estimation using deep ensembles

Reference 32

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Observation 508dc7b5-cd5e-457c-bbc5-86a2df95dcf9 · outbound

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Safe end-to-end imitation learning for model predictive control

Reference 33

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This paper cites On Norm-Agnostic Robustness of Adversarial Training.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition On Norm-Agnostic Robustness of Adversarial Training

Reference 34

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Observation 6953ad12-078a-458c-8b74-308c20b36920 · outbound

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d5e1099c-9085-4424-8ba2-fe2bf4cda67e · outbound

This paper cites A general framework for ensemble distribution distillation.2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), pages 1–6, 2020.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition A general framework for ensemble distribution distillation.2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), pages 1–6, 2020

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.500594Z digest=sha256:35d5d3e771ce7d6b87a0463c69fffdd9a275eabe59bf7e96f6b176aff9d3528d

Observation e196ccf2-e0da-43be-a6a3-2c2e849326c0 · outbound

This paper cites Clegg, Andrea Cavallaro, and Hamed Haddadi.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Clegg, Andrea Cavallaro, and Hamed Haddadi

Reference 37

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raw_fallback, observed 2026-08-04T21:06:13.926960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.503490Z digest=sha256:e565ccf9eb2e70c42e11eab01cd309fa9aebfdccacd94a80e884154e01c0407d

Observation 02d84bbf-875c-4ea0-8322-fdd8b3967b46 · outbound

This paper cites Predictive uncertainty estimation via prior networks.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Predictive uncertainty estimation via prior networks

Reference 38

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raw_fallback, observed 2026-08-04T21:06:13.916651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.506344Z digest=sha256:86cd14dd29dd4d9c31d2122c60ddc180c4b6aa4a61cebad5f6a0b18ef039e870

Observation 5e958dc9-6c47-41a6-950c-eeccf1e0d007 · outbound

This paper cites Ensemble Distribution Distillation.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Ensemble Distribution Distillation

Reference 39

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unresolved
no resolver link, observed 2026-08-04T21:06:13.509056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:13.509056Z digest=sha256:c01860124ac3a992e0c13d7a185f7bfe360770bee7bb5dcb92c2e81a083bc9bf

Observation 4409fa64-35a4-4a84-94be-b3b13ad9481e · outbound

This paper cites Berkay Celik.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Berkay Celik

Reference 40

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raw_fallback, observed 2026-08-04T21:06:13.906516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.512199Z digest=sha256:faa1c3d924cb57913b4a7c1f68c17ae18f03aa7028997b1ba56bd9c6f44b7601

Observation eae746c6-c553-40d2-a0b8-643fdb62d2f4 · outbound

This paper cites On the validity of bayesian neural networks for uncertainty estimation.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition On the validity of bayesian neural networks for uncertainty estimation

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.896809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.514977Z digest=sha256:fb27d2d7c5f449cb7057d16bffcc72dc17e3ccb5bfcafc32fa554e21e2f074e0

Observation 45458690-7fe7-4a0c-a5eb-abc1651f01d7 · outbound

This paper cites Deep convolu- tional feature transfer across mobile activity recognition domains, sensor modalities and locations.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep convolu- tional feature transfer across mobile activity recognition domains, sensor modalities and locations

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.886811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.517900Z digest=sha256:fb8fc066f74df166fb61470d0e6bf00bbd4c5a2d93955c5295bd3c375ace2e18

Observation 2e6e2f86-1f98-4cb4-b92f-fa939912bf4c · outbound

This paper cites Contextual Imagined Goals for Self-Supervised Robotic Learning.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Contextual Imagined Goals for Self-Supervised Robotic Learning

Reference 43

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verified exact
local_arxiv, observed 2026-08-04T21:06:13.660797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.520881Z digest=sha256:130c8c1dd8c5ead51e643d62715edb8033ee4e8bb1f626a15ec25b3465e1470a

Observation b136edb3-104b-4cec-b6f2-afee7c17cacb · outbound

This paper cites an unresolved cited work.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 44

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unresolved
raw_fallback, observed 2026-08-04T21:06:13.875831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.523916Z digest=sha256:312215e2cee84eab8d3bd5d8b4008276eeca7baabf318f390ce33a8a2fd1d3b1

Observation b3665690-762e-45b0-90a0-8246169c30f2 · outbound

This paper cites Sculley, Sebas- tian Nowozin, Joshua V.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sculley, Sebas- tian Nowozin, Joshua V

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.865612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.526606Z digest=sha256:3ae2ab7a58ab9e0ca73cd39044b9f7bc690e7b705e30ee3f6b96f8073258488f

Observation 04926dcc-3182-45ce-9c4d-3352fc7b874e · outbound

This paper cites Crafting adversarial input sequences for recurrent neural networks.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Crafting adversarial input sequences for recurrent neural networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.856061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.529658Z digest=sha256:a871e764521f475d89aa04a6ff8b371350f12920d8b53e96328c5abefe155ec1

Observation 5d5f912b-b0a5-4fa3-ab46-2fe969fbba8f · outbound

This paper cites PAMAP2 Physical Activity Monitoring.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition PAMAP2 Physical Activity Monitoring

Reference 47

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unresolved
no resolver link, observed 2026-08-04T21:06:13.532489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:13.532489Z digest=sha256:774dd500f1cd183e3b4b5ee20d58c9761a84af1e6b86430b922f3d2ac7375b58

Observation 046b91c1-f4b2-47ba-94bd-da8f34dd6c92 · outbound

This paper cites Multi-task self- supervised learning for human activity detection.Proc.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Multi-task self- supervised learning for human activity detection.Proc

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.845367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.535338Z digest=sha256:dd8f6cb875101acad9f93af4e467e19480adf0bc4c98b5e4a9fdd29f7c392c79

Observation a645ef8e-ba40-4515-8589-305a8a195944 · outbound

This paper cites A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

Reference 49

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no resolver link, observed 2026-08-04T21:06:13.538212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:13.538212Z digest=sha256:60ef2b681782a347a083ea8e4afac80d545c9eafc5e8d25d79334513109227ea

Observation 710aaaa4-b3f4-4672-af5a-bda4ffb2cff1 · outbound

This paper cites Improving the generalization of adversarial training with domain adaptation, 2018.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Improving the generalization of adversarial training with domain adaptation, 2018

Reference 50

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raw_fallback, observed 2026-08-04T21:06:13.835470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.541323Z digest=sha256:a2eef38be3a954d333ba4a83283f7f34995c4cd818aed930f886b7801b81a296

Observation ea1e2453-46c8-4099-973e-b9ff9ac4c17e · outbound

This paper cites an unresolved cited work.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 51

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no resolver link, observed 2026-08-04T21:06:13.544760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:13.544760Z digest=sha256:3051ae0f5d5d8b227ea7a29fe963d4a56203ce121c3740a6174fee247dc50128

Observation d385ccc3-2058-4d45-b7d2-a5c2cd4971b3 · outbound

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

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Smart devices are different: Assessing and mitigating mobile sensing heterogeneities for activity recognition

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.818726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.547810Z digest=sha256:08cf2090631f7b3cc2c737c9fad81e2b201cab4bc91ea2cddc5584b75a9d9f97

Observation 8ef9f59d-b734-43eb-9e5c-874896aa70da · outbound

This paper cites Smartphone-based human activity pattern identification using unsupervised learning.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Smartphone-based human activity pattern identification using unsupervised learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.807821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.550584Z digest=sha256:1e67eb7015147f9c0fc0492e51374b515ff190465a1994c70e8de08b1941767a

Observation 49211888-8f4b-4d04-87a1-b344590d502e · outbound

This paper cites an unresolved cited work.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 54

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unresolved
raw_fallback, observed 2026-08-04T21:06:13.797729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.553187Z digest=sha256:1b0a63763d55d6b11fc788bcf8f0ab3b7ea122d14d29950fdd181f75cbf76978

Observation 5ac057a6-bbed-4bb4-8a70-3698b69d68ae · outbound

This paper cites Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders

Reference 55

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verified exact
local_arxiv, observed 2026-08-04T21:06:13.636380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.555906Z digest=sha256:4a48d38ed2b2b9aa1eabd6ca4d24cd56d05880f014244a10789dd0118ed4b956

Observation 8e03816a-cb97-415c-a115-e621db784b61 · outbound

This paper cites Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification

Reference 56

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no resolver link, observed 2026-08-04T21:06:13.558992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:13.558992Z digest=sha256:03876c7efdf685b00c432d4832449d13f1332cf70e2bbcc3420a0cf7909ab88c

Observation f91fb5e1-6306-4e83-9a04-f86a6cc4e5e3 · outbound

This paper cites Deep learning for sensor-based activity recognition: A survey.Pattern Recognition Letters, 119:3–11, 2019.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep learning for sensor-based activity recognition: A survey.Pattern Recognition Letters, 119:3–11, 2019

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.787848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.561979Z digest=sha256:05f05102454f249eebcca106f5bcabed73fb20b19c712e211fb4bbddc41386c6

Observation 44d09dc2-9182-4604-8b8c-9037c3b7ac74 · outbound

This paper cites Improving single-step adversarial training by local smoothing.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Improving single-step adversarial training by local smoothing

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.777405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.564768Z digest=sha256:f89efd70b318e68bf6c777e7f53b3304ae91c1841b68a4d4437b12e7d6bf4ace

Observation a0254a7e-8d1d-4c57-932e-7f0f52aa78be · outbound

This paper cites Deep convolutional neural networks on multi- channel time series for human activity recognition.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep convolutional neural networks on multi- channel time series for human activity recognition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:06:13.766775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.567698Z digest=sha256:dd0aed1ad4cc8ccaeb8ed3270a9d6012d8d8202b541237628758240d9020cdf5

Observation 61508a14-fe6e-48f0-8310-ae872cc634bb · outbound

This paper cites Strength-Adaptive Adversarial Training.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Strength-Adaptive Adversarial Training

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:06:13.612020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T21:06:13.570461Z digest=sha256:27ae621af38068a7dd29d9af7cde144b22bf8ee32f8b48b5f4b8599a21066440

Observation 9d0e7060-a6bd-4264-aa82-ff0d515a8387 · outbound

This paper cites an unresolved cited work.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 2019

Resolution
parse uncertain
no resolver link, observed 2026-08-04T21:06:13.456733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:13.456733Z digest=sha256:85f06a4fb22f30d613ac07c7186f2e15edd62b83d3f23db8a3bf1875f2f90b05

Pith citing papers

No inbound Pith citation observations are available.