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Paper Citation Record · LEDGER

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 10 inbound Pith citation observations for arXiv:2411.18822.

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

pith.paper-citation-record.v1
2411.18822 v5

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:54:45.853057Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:12:28.242007Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:37:43.304212Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact5
  • verified fuzzy17
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 532bc076-8ae2-4c88-878f-b1f308bb7c09 · outbound

This paper cites A deep learning approach to human activity recognition based on single accelerometer.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data A deep learning approach to human activity recognition based on single accelerometer

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.347958Z

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 ef65a199-2460-41c2-b823-a6045c5b18b0 · outbound

This paper cites False negative masking for debiasing in contrastive learning.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data False negative masking for debiasing in contrastive learning

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.337425Z

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=2026-08-12T10:54:45.719758Z digest=sha256:c79cc060394665df51fd610e536256d741eae765105e039bfbb02b47ccc1896c

Observation d67b2957-ee60-4de7-9b52-dfdaddaa4f98 · outbound

This paper cites Human activity recog- nition using inertial sensors with invariance to sensor orientation.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Human activity recog- nition using inertial sensors with invariance to sensor orientation

Reference 7

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raw_fallback, observed 2026-08-12T10:54:46.326947Z

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=2026-08-12T10:54:45.727810Z digest=sha256:68b083133067a4400c8eb0dae5640ea0477a78909a79a3cdac64ec0a40acbde7

Observation 51761366-94fd-459d-8f85-de78feed6724 · outbound

This paper cites Solving the sensor-based activity recognition problem (soar): self-supervised, multi-modal recognition of ac- tivities from wearable sensors.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Solving the sensor-based activity recognition problem (soar): self-supervised, multi-modal recognition of ac- tivities from wearable sensors

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.283018Z

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=2026-08-12T10:54:45.751091Z digest=sha256:d2f7db09d6605a360535390657400bf223ea37d1161f23ef78887d80029689ba

Observation 8e0a8446-b0a9-4398-8617-a84bbefa5988 · outbound

This paper cites Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals

Reference 14

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verified exact
local_arxiv, observed 2026-08-12T10:54:46.119937Z

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=2026-08-12T10:54:45.755219Z digest=sha256:248c310088f87f152263bb89046c07fa789a0a0921940bfbf6aaf0e8a6d556a6

Observation 360bc225-4fe4-4d54-830f-f869e1c1d7de · outbound

This paper cites Time-Series Contrastive Learning against False Negatives and Class Imbalance.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Time-Series Contrastive Learning against False Negatives and Class Imbalance

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:54:46.103219Z

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=2026-08-12T10:54:45.759710Z digest=sha256:f4caaf7df506d79c23ab9e71b33c4c1f85da80f7b0be31133977d0f07984b4c6

Observation 191797e0-3594-4ddf-93b8-58c7c54e4875 · outbound

This paper cites Soft contrastive learning for time series.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Soft contrastive learning for time series

Reference 16

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no resolver link, observed 2026-08-12T10:54:45.763757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.763757Z digest=sha256:043dd7dbca45d8b4a40ce5a6d732bf574cc14979ab1ef7a73a322b48910ea51d

Observation 963abef8-db3b-4974-a3bd-77d97e6ad063 · outbound

This paper cites URL https://doi.org/10.1145/3699767.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data URL https://doi.org/10.1145/3699767

Reference 17

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no resolver link, observed 2026-08-12T10:54:45.767528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.767528Z digest=sha256:90ea53874637712a7c53dbc0788fa000117bc7bea2c1fa89bf65c1993d978380

Observation 2b33f7c3-5b3b-4535-b4ac-c75bd6ea03fa · outbound

This paper cites 13 Published as a conference paper at ICLR 2025 Mohammad Malekzadeh, Richard G Clegg, Andrea Cavallaro, and Hamed Haddadi.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data 13 Published as a conference paper at ICLR 2025 Mohammad Malekzadeh, Richard G Clegg, Andrea Cavallaro, and Hamed Haddadi

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.271362Z

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=2026-08-12T10:54:45.771288Z digest=sha256:107972fcff6fa687390f45a7dacbfa7981158783e75ef108236851135c79876a

Observation fd428e48-04ee-44f4-bebf-bd8ce3728f4d · outbound

This paper cites ECG-FM: An Open Electrocardiogram Foundation Model.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data ECG-FM: An Open Electrocardiogram Foundation Model

Reference 19

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no resolver link, observed 2026-08-12T10:54:45.774610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.774610Z digest=sha256:1f9e6743a07dfd4faaf119314859de70d0a87f39b6a76196e87d010c62d5d96d

Observation 29a1e2ba-54ca-4f59-a0e2-0173695b1fd2 · outbound

This paper cites Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:54:46.009359Z

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=2026-08-12T10:54:45.778526Z digest=sha256:de80b8dc8fa9c90e119476f0a3e73ebb58150e1af2229206a3a9a06014e8ecde

Observation 35ddb210-0ce5-46bb-933e-ac29c4e51106 · outbound

This paper cites Exact dis- covery of time series motifs.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Exact dis- covery of time series motifs

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.260183Z

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=2026-08-12T10:54:45.782137Z digest=sha256:0b7c23d960371286d7c8d99079fb4f9b3136db81fca3280db449acafa23f0bdd

Observation 265aa5b8-76b6-4dc5-830a-156a1e22f8fb · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data DINOv2: Learning Robust Visual Features without Supervision

Reference 22

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no resolver link, observed 2026-08-12T10:54:45.785918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.785918Z digest=sha256:83d4c3e567210d785a039bf268e97d64dea7c4c4a8efabe9edc62ef3c2afba07

Observation 3f20fe8e-d46d-4c6c-95ff-ab7cb669a766 · outbound

This paper cites Tokenizing Single-Channel EEG with Time-Frequency Motif Learning.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Tokenizing Single-Channel EEG with Time-Frequency Motif Learning

Reference 24

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no resolver link, observed 2026-08-12T10:54:45.793166Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.793166Z digest=sha256:6aebcee9631e2c161b11ff7a8aba116040548bd4b71505b9f353a72951f5a9a0

Observation a4b8bf8f-682e-4567-be1f-6a9f68580f7c · outbound

This paper cites Attila Reiss.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Attila Reiss

Reference 25

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no resolver link, observed 2026-08-12T10:54:45.797137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.797137Z digest=sha256:a2a12d747c41faa62dffe81bff0fd6b992b765e871f287e5ffa985a6f51b9598

Observation b130ff8e-15e6-4677-b5ce-7c2f5b0120d8 · outbound

This paper cites 14 Published as a conference paper at ICLR 2025 Daniel Roggen, Alberto Calatroni, Ricardo Nguyen-Dinh, Long-Vanand Chavarriaga, and Hesam Sagha.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data 14 Published as a conference paper at ICLR 2025 Daniel Roggen, Alberto Calatroni, Ricardo Nguyen-Dinh, Long-Vanand Chavarriaga, and Hesam Sagha

Reference 27

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verified exact
doi, observed 2026-08-12T10:54:45.896949Z

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=2026-08-12T10:54:45.804340Z digest=sha256:e621413254adebc3c2d3d01fa8e725f8790f11dbf02a3304e82305ef6ae8c26f

Observation e635ad26-1896-4391-a14d-67e559d72719 · outbound

This paper cites Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings

Reference 29

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no resolver link, observed 2026-08-12T10:54:45.811692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.811692Z digest=sha256:3dc17d101e4ba1cf50ed0d416233f94c5ede2c6699a4a56a50681983ce552e67

Observation 684e3ad5-4c2e-4124-b120-9bcd2396141b · outbound

This paper cites CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains

Reference 30

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no resolver link, observed 2026-08-12T10:54:45.815846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.815846Z digest=sha256:06f5dd1d0b9a6e890d81da782e1ca1a2b8a746b6d6347189d4efe448b3ad0f5f

Observation 27c82308-ce1e-4459-96eb-9b35dcf16fd8 · outbound

This paper cites Exploring Contrastive Learning in Human Activity Recognition for Healthcare.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Exploring Contrastive Learning in Human Activity Recognition for Healthcare

Reference 31

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no resolver link, observed 2026-08-12T10:54:45.819485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.819485Z digest=sha256:2878b48f83caac1b88c7ac7c4d3393be7dd28c0d7f1837041225c58e76bde15d

Observation ce0cf541-ea75-4507-81c2-ae1c057bc496 · outbound

This paper cites Attention is all you need.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Attention is all you need

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.248646Z

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=2026-08-12T10:54:45.823485Z digest=sha256:f37fd99eaf4745efc893af7e76364cae2f233710f13c8f3e2a79d086f4124479

Observation 470dba1c-8195-405e-b808-98dc6756122a · outbound

This paper cites Accelerometry based classification of walking patterns using time-frequency analysis.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Accelerometry based classification of walking patterns using time-frequency analysis

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.237409Z

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=2026-08-12T10:54:45.827559Z digest=sha256:ce6109bd8ebad80951aa412f08fa1c9598c36088bc86328e01ace994779a9da4

Observation ae642569-4ea0-4a31-b7f4-97f8564e006c · outbound

This paper cites an unresolved cited work.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-12T10:54:46.213804Z

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=2026-08-12T10:54:45.835678Z digest=sha256:4851a8c4265d2daac81398cb96fd0f5be1b9e70db41caca1962ad11cae534f4b

Observation a2b91ee9-5a9b-4eda-ba2b-f88edbcee68e · outbound

This paper cites Both SimCLR and AugPred creates instances from the original sequence via augmentations, and so they will be resistant to False Positives.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Both SimCLR and AugPred creates instances from the original sequence via augmentations, and so they will be resistant to False Positives

Reference 36

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raw_fallback, observed 2026-08-12T10:54:46.202678Z

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=2026-08-12T10:54:45.841405Z digest=sha256:cbb62b0b385c0e02c58ebba79b3909432d058452746f972c7d4d8b03dd93a793

Observation 348fd1e7-6f3f-4522-a2d9-ad03aabba904 · outbound

This paper cites T=256 the subsequence length, d=64 the embedding dimension, and k=15 the kernel size.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data T=256 the subsequence length, d=64 the embedding dimension, and k=15 the kernel size

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.191311Z

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=2026-08-12T10:54:45.845328Z digest=sha256:1c10231ab107597d645f83ecd364142a0993a3069940c8c2f009dd7014f11932

Observation e5b910a7-bf3d-462a-98d2-425dca5dca7e · outbound

This paper cites (2024) has released their code publicly here, which contains exact data split and gener- ations: https://github.com/OxWearables/ssl-wearables.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data (2024) has released their code publicly here, which contains exact data split and gener- ations: https://github.com/OxWearables/ssl-wearables

Reference 38

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raw_fallback, observed 2026-08-12T10:54:46.180780Z

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=2026-08-12T10:54:45.849364Z digest=sha256:e1036eb9d5876b7b2c13020d3cfaef2b4ffa7d228f2b21d7c1c4aaa4ddf52749

Observation b235fe07-b850-4109-a743-3496d852023d · outbound

This paper cites (2022) has not released their code publicly, we contacted the authors directly to ensure that we matched their exact splits and classes evaluated.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data (2022) has not released their code publicly, we contacted the authors directly to ensure that we matched their exact splits and classes evaluated

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.170178Z

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=2026-08-12T10:54:45.853057Z digest=sha256:796a9079def458f926719cd027b577a664d6a31148119e47d8ff9f26fff3a07a

Observation dc64959c-b67a-4468-87c5-a18a3c924abe · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data MOMENT: A Family of Open Time-series Foundation Models

Reference 1993

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unresolved
no resolver link, observed 2026-08-12T10:54:45.731476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.731476Z digest=sha256:80e9a1d5763a2eb5ad36ba42c256289fe4b46e52bdfb3e0889c09466bd3b5ff5

Observation f157f089-c914-4877-b814-159b160d80c4 · outbound

This paper cites Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien

Reference 2010

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unresolved
no resolver link, observed 2026-08-12T10:54:45.807961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.807961Z digest=sha256:917ab22c31991cb355b96fb50ef7c80ed03bcd70649d4d08d29197e39708d899

Observation f2797a5f-646f-4084-bd4e-99dcbe6d6476 · outbound

This paper cites Jorge Reyes-Ortiz, Davide Anguita, Luca Oneto, and Xavier Parra.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Jorge Reyes-Ortiz, Davide Anguita, Luca Oneto, and Xavier Parra

Reference 2012

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unresolved
no resolver link, observed 2026-08-12T10:54:45.800788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.800788Z digest=sha256:4f14acac7b6da08bea419e548e6d5fc300e255466a9eea41ab3f5311021de4d0

Observation 962e5bf4-6580-4055-9a59-34e282998b63 · outbound

This paper cites We can see RelCon has the best performance.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data We can see RelCon has the best performance

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.226017Z

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=2026-08-12T10:54:45.831458Z digest=sha256:81bbe239f153160545ca49984bae47ffedb7d434644f7417409742841b23d7b4

Observation d4c679ab-8aab-479f-8131-caeba3f8ca0b · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data On the Opportunities and Risks of Foundation Models

Reference 2015

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unresolved
no resolver link, observed 2026-08-12T10:54:45.707571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.707571Z digest=sha256:9d423b5a07a010d9d2b64657e6b394cb093d138f863bbf6d9303ce848efca6d3

Observation 8fe78452-5ea9-49c4-86bf-a81e9bbe9119 · outbound

This paper cites Harish Haresamudram, David V Anderson, and Thomas Pl ¨otz.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Harish Haresamudram, David V Anderson, and Thomas Pl ¨otz

Reference 2017

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verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.316596Z

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=2026-08-12T10:54:45.735663Z digest=sha256:800b82150f51bb63c91220d8c8cb6f95ddc56c5f51c4c776871254c7e9fc46cb

Observation 68077c74-f98a-41a7-b394-5ac36f1c6cf0 · outbound

This paper cites PaPaGei: Open Foundation Models for Optical Physiological Signals.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data PaPaGei: Open Foundation Models for Optical Physiological Signals

Reference 2018

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unresolved
no resolver link, observed 2026-08-12T10:54:45.789456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.789456Z digest=sha256:3f08468aed93bdb19ea575e4860fad9f8b2c04b45e0cfbbda7a69698efb7c831

Observation 07889196-1cca-4fa7-8053-9db4563b18c7 · outbound

This paper cites Masked reconstruction based self-supervision for human activity recognition.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Masked reconstruction based self-supervision for human activity recognition

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.305243Z

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=2026-08-12T10:54:45.739403Z digest=sha256:a9d4c40abfb055c938789f413c856b3f4c43beed4ee64c3e30c24ad58a685f1a

Observation 1866682e-eb8a-432f-ab78-14708a410907 · outbound

This paper cites Contrastive predictive coding for human activity recognition.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Contrastive predictive coding for human activity recognition

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.294243Z

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=2026-08-12T10:54:45.743722Z digest=sha256:bad9e33f003cbc3cd4d0a92fd1a718bc541951d9feb6bd0ac761c5a6398c23aa

Observation 5779a25a-a30c-4e7a-ab2d-e11b79aece16 · outbound

This paper cites Exploring simple siamese representation learning.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Exploring simple siamese representation learning

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:46.358019Z

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=2026-08-12T10:54:45.711773Z digest=sha256:c493c054f7553e5c0331f834def5567db9469a7a5370d6b4a2d37d2ff2b91ff4

Observation ed385af9-8cb6-47e3-867f-7e46a9bf3984 · outbound

This paper cites URL https://doi.org/10.1145/3550299.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data URL https://doi.org/10.1145/3550299

Reference 2022

Resolution
verified exact
doi, observed 2026-08-12T10:54:45.930486Z

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=2026-08-12T10:54:45.747228Z digest=sha256:e1f2beb11a378e9a51e2aee159e23e921ca668aabfce57aa5b52ad802c39a896

Observation 94ea2bb4-dbdd-4719-a0f7-35fb1f5d5384 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data A decoder-only foundation model for time-series forecasting

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:45.723649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.723649Z digest=sha256:b7742478648d0d2ad3b2e16b6e4aaf29a4a2f82c26d68c13cf9e24135e2d7ec3

Observation 46b7b194-08c9-411e-a383-9fc8ad25151f · outbound

This paper cites Chronos: Learning the Language of Time Series.

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Chronos: Learning the Language of Time Series

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:45.702624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:45.702624Z digest=sha256:ac056e3c3bb51f6a8fe583160e696decd668b6c87a2ab2a72ab6deef5679beee

Pith citing papers

Observation d56c9d22-6bb8-4f71-ae38-ef71612316f2 · inbound

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation cites this paper.

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T15:12:28.242007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:12:28.242007Z digest=sha256:6a51369bfc28551eca703c831ef7518ea9fdf25094ce6241511e471a0d760e76

Observation 2f150528-74d7-4947-b1bb-360754d98d35 · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-10T16:30:41.935457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:41.935457Z digest=sha256:2acfdf831a83bb67521b4bfd487ed7fc807733a874789a99138a5f6ca4bcb32e

Observation 29fdae13-0cba-47f1-9df9-ed76563299c9 · inbound

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings cites this paper.

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-09T16:38:51.077772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:38:51.077772Z digest=sha256:05a061bc04a08070d593d6c6cf7ac498586ea640751330d6f233fe469ce63116

Observation cef976ea-68aa-47e1-ae9f-3b94e61e0017 · inbound

LSM-2: Learning from Incomplete Wearable Sensor Data cites this paper.

LSM-2: Learning from Incomplete Wearable Sensor Data RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:47.850296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:47.850296Z digest=sha256:a77911aeb69d4591f7451244c2268ac50d0b0480bfdbbc458763411894df24d9

Observation 3d5b91af-3dd6-4b4d-9efd-46c7678008f0 · inbound

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions cites this paper.

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:49.089541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:27:49.089541Z digest=sha256:d3b5f146a98b715e9cfb96a6eea420d51d67455ef44dfc3ece15f16184ba81d8

Observation 508eecb2-84dd-4265-a2e5-c8fff3d9b687 · inbound

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook cites this paper.

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:53:08.563639Z

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=2026-05-13T18:48:40.813486Z digest=sha256:8ee51a528ca5eadb9fa460cd92eaf32158a200e35299d4f388b25849c569b047

Observation c069df17-0693-4c4e-acb0-4c4b44bfbaed · inbound

Wearable AI in the Era of Large Sensor Models cites this paper.

Wearable AI in the Era of Large Sensor Models RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:30:58.005034Z

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=2026-05-10T16:35:36.541995Z digest=sha256:2aa45dfde43a6c7b59490cc1ce7eddef4879e8e0a21c6dede1d9e8cfc19224dc

Observation 985e1b39-0324-4133-9a69-de1f71d11b78 · inbound

A robust PPG foundation model using multimodal physiological supervision cites this paper.

A robust PPG foundation model using multimodal physiological supervision RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:47:10.227947Z

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=2026-06-27T22:20:51.569973Z digest=sha256:1ad3762cf6a0665e8af1bb943d98c0c6216011e9807d1e8dc0f7ae2f6a410e14

Observation 5765cd62-1675-46aa-a4f7-98b0992cb65d · inbound

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

Inertia-1: An Open Exploration of Wearable Motion Foundation Models RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:37:43.332502Z

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=2026-07-11T01:32:47.613934Z digest=sha256:30a099edfa8453c740f1f7d3874cf6d84e96436c3b687bf02e292ee50759b435

Observation 85594047-0a91-45fa-bc74-e3cde165e195 · inbound

A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps Intervention cites this paper.

A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps Intervention RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T07:35:55.355495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:35:55.355495Z digest=sha256:81bacb31189ff485b84f65142cd0fef448718003f168bd0f02ceb96309b183c4