Paper Citation Record · LEDGER

Subject Invariant Contrastive Learning for Human Activity Recognition

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2507.03250.

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

pith.paper-citation-record.v1
2507.03250 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:19:54.449210Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:32.975141Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-02T00:16:10.520619Z

Reference resolution

35 of 35 outbound references displayed

verified exact4
verified fuzzy21
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 433cfad0-91ca-4ea9-8b91-6eae79f1db9d · outbound

This paper cites However, these applications rely on massive data drawn from various sensors.

Subject Invariant Contrastive Learning for Human Activity Recognition However, these applications rely on massive data drawn from various sensors

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:59.381224Z

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Observation 87c2396e-d844-48b4-9f19-f38d57375438 · outbound

This paper cites an unresolved cited work.

Subject Invariant Contrastive Learning for Human Activity Recognition Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:19:59.133992Z

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Observation 227f20e3-e35e-428b-b5c1-cee27abb46e8 · outbound

This paper cites an unresolved cited work.

Subject Invariant Contrastive Learning for Human Activity Recognition Unresolved cited work

Reference 3

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Observation 97b9d26c-6c3a-4410-a478-33d4e5137887 · outbound

This paper cites an unresolved cited work.

Subject Invariant Contrastive Learning for Human Activity Recognition Unresolved cited work

Reference 4

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Observation 754358b2-8210-4b20-bc45-a80382eff19d · outbound

This paper cites an unresolved cited work.

Subject Invariant Contrastive Learning for Human Activity Recognition Unresolved cited work

Reference 5

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Observation 3111e081-c391-4117-831f-7b9764ac015d · outbound

This paper cites Contrastive Learning and HAR Contrastive loss maps semantically similar (positive) samples closer in the embedding space while pushing dissimilar (negative) samples farther apart.

Subject Invariant Contrastive Learning for Human Activity Recognition Contrastive Learning and HAR Contrastive loss maps semantically similar (positive) samples closer in the embedding space while pushing dissimilar (negative) samples farther apart

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:58.391074Z

Source-reported events for the cited work

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Observation 049b2b8e-3724-4174-a76f-53271df51904 · outbound

This paper cites For this analysis, we use the DARai [4] dataset, as it consists of daily activities collected in a natural, real- world setting from different subjects.

Subject Invariant Contrastive Learning for Human Activity Recognition For this analysis, we use the DARai [4] dataset, as it consists of daily activities collected in a natural, real- world setting from different subjects

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:58.261662Z

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Observation 93b49c3c-b108-44bf-a533-61d26eaaf211 · outbound

This paper cites Our loss function selectively samples contrastive negatives based on their subject labels.

Subject Invariant Contrastive Learning for Human Activity Recognition Our loss function selectively samples contrastive negatives based on their subject labels

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:58.154595Z

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Observation 71d8573c-22d8-4ff9-bbf1-46307bb967d9 · outbound

This paper cites Datasets We evaluate the performance of our proposed approaches on three benchmark multimodal datasets: UTD-MHAD [22], MMAct [23], and DARai [4].

Subject Invariant Contrastive Learning for Human Activity Recognition Datasets We evaluate the performance of our proposed approaches on three benchmark multimodal datasets: UTD-MHAD [22], MMAct [23], and DARai [4]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:57.993399Z

Source-reported events for the cited work

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Observation fe0cb812-b314-4bf3-afe5-1d75d8a3732a · outbound

This paper cites an unresolved cited work.

Subject Invariant Contrastive Learning for Human Activity Recognition Unresolved cited work

Reference 10

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Source-reported events for the cited work

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

Observation 5e34f36d-8320-4118-9493-11b7fbaa3596 · outbound

This paper cites Human activ- ity recognition in smart home with deep learning approach,.

Subject Invariant Contrastive Learning for Human Activity Recognition Human activ- ity recognition in smart home with deep learning approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:57.614490Z

Source-reported events for the cited work

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Observation ebb29175-d63c-4578-ac80-5c36fcaeadbf · outbound

This paper cites Personalizing human activity recognition models using incremental learning.

Subject Invariant Contrastive Learning for Human Activity Recognition Personalizing human activity recognition models using incremental learning

Reference 12

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Source-reported events for the cited work

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Observation 14cb50f7-5d37-46fd-9f8f-9d2b9d2509c6 · outbound

This paper cites Focal: A cost- aware video dataset for active learning,.

Subject Invariant Contrastive Learning for Human Activity Recognition Focal: A cost- aware video dataset for active learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:57.371134Z

Source-reported events for the cited work

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Observation 8db40403-531e-4c2f-94da-af0e7959a978 · outbound

This paper cites Hierarchical and multimodal data for daily activity un- derstanding,.

Subject Invariant Contrastive Learning for Human Activity Recognition Hierarchical and multimodal data for daily activity un- derstanding,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:57.118390Z

Source-reported events for the cited work

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Observation f32c8710-539b-4cdd-a203-fdfc4de6b64d · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Subject Invariant Contrastive Learning for Human Activity Recognition A simple framework for contrastive learning of visual representations,

Reference 15

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Source-reported events for the cited work

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Observation 6cb834e8-e7c1-42eb-b1d5-8c651adf782d · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction,.

Subject Invariant Contrastive Learning for Human Activity Recognition Barlow twins: Self-supervised learning via redundancy reduction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:56.752415Z

Source-reported events for the cited work

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

Observation 4fa2fca6-264c-459d-acc5-2fdfbf519a00 · outbound

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

Subject Invariant Contrastive Learning for Human Activity Recognition VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 17

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Source-reported events for the cited work

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Observation 8e864866-b94e-4d8b-b810-9d727d9f33d7 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Subject Invariant Contrastive Learning for Human Activity Recognition SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:52.965275Z

Source-reported events for the cited work

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Observation ab77e49e-326b-486b-86a9-f3a1513a4bc7 · outbound

This paper cites Contrastive self-supervised learning for sensor-based human activity recognition,.

Subject Invariant Contrastive Learning for Human Activity Recognition Contrastive self-supervised learning for sensor-based human activity recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:56.616873Z

Source-reported events for the cited work

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Observation 95cd8f18-62b6-4221-a835-c30e8e42a61f · outbound

This paper cites Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition.

Subject Invariant Contrastive Learning for Human Activity Recognition Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:19:54.996969Z

Source-reported events for the cited work

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Observation 54aedf70-4f41-4b0d-bf4a-234b23156f6f · outbound

This paper cites Contrastive learning with cross-modal knowledge mining for multimodal human activity recognition,.

Subject Invariant Contrastive Learning for Human Activity Recognition Contrastive learning with cross-modal knowledge mining for multimodal human activity recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:56.422077Z

Source-reported events for the cited work

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

Observation b039bbf0-c363-4744-9feb-bc96eab91e85 · outbound

This paper cites Cocoa: Cross modality contrastive learning for sensor data,.

Subject Invariant Contrastive Learning for Human Activity Recognition Cocoa: Cross modality contrastive learning for sensor data,

Reference 22

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Source-reported events for the cited work

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Observation d0fb3b9f-fc81-4828-bc2e-a759733542ce · outbound

This paper cites Subject vari- ability in sensor-based activity recognition,.

Subject Invariant Contrastive Learning for Human Activity Recognition Subject vari- ability in sensor-based activity recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:56.161387Z

Source-reported events for the cited work

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

Observation 7f6cefa4-78e7-4204-9d30-4597c9039de3 · outbound

This paper cites Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning.

Subject Invariant Contrastive Learning for Human Activity Recognition Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:19:54.845123Z

Source-reported events for the cited work

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

Observation c68ffbfd-0d12-46cd-840f-6efbc1dfc6d3 · outbound

This paper cites Diversify: A gen- eral framework for time series out-of-distribution detection and generalization,.

Subject Invariant Contrastive Learning for Human Activity Recognition Diversify: A gen- eral framework for time series out-of-distribution detection and generalization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:56.062197Z

Source-reported events for the cited work

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

Observation 71b6cb1e-148e-48bc-a4ae-31b7f44c3df0 · outbound

This paper cites Latent independent excitation for generalizable sensor-based cross- person activity recognition,.

Subject Invariant Contrastive Learning for Human Activity Recognition Latent independent excitation for generalizable sensor-based cross- person activity recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:55.933057Z

Source-reported events for the cited work

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Observation b26f349a-4a50-430f-809f-f269e1327820 · outbound

This paper cites Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss.

Subject Invariant Contrastive Learning for Human Activity Recognition Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:19:54.723598Z

Source-reported events for the cited work

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

Observation 3a69aafd-fb51-47c8-8cd9-4175fb4e654f · outbound

This paper cites HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms.

Subject Invariant Contrastive Learning for Human Activity Recognition HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms

Reference 28

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Source-reported events for the cited work

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Observation f9a90709-93a6-4d31-954f-3cfbcc1f99fa · outbound

This paper cites Supervised contrastive learning,.

Subject Invariant Contrastive Learning for Human Activity Recognition Supervised contrastive learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:55.773163Z

Source-reported events for the cited work

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

Observation 81ba5a36-4031-43f7-982e-157e58e0e516 · outbound

This paper cites Contrastive multiview coding,.

Subject Invariant Contrastive Learning for Human Activity Recognition Contrastive multiview coding,

Reference 30

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

Observation f8bb349d-2dc8-4144-95bd-867882fcd1cb · outbound

This paper cites Contrastive learning with cross-modal knowledge mining for multimodal human activity recognition,.

Subject Invariant Contrastive Learning for Human Activity Recognition Contrastive learning with cross-modal knowledge mining for multimodal human activity recognition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:55.573374Z

Source-reported events for the cited work

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

Observation 8d88a8aa-8001-4b8b-8fa8-c5df735b9e41 · outbound

This paper cites Utd- mhad: A multimodal dataset for human action recognition uti- lizing a depth camera and a wearable inertial sensor,.

Subject Invariant Contrastive Learning for Human Activity Recognition Utd- mhad: A multimodal dataset for human action recognition uti- lizing a depth camera and a wearable inertial sensor,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:55.474478Z

Source-reported events for the cited work

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

Observation 93033da5-9335-42c5-8f57-4739914b9c3c · outbound

This paper cites Mmact: A large-scale dataset for cross modal human action understanding,.

Subject Invariant Contrastive Learning for Human Activity Recognition Mmact: A large-scale dataset for cross modal human action understanding,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:55.340640Z

Source-reported events for the cited work

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

Observation 8d807838-7bff-4b48-b87d-3ebe1b190991 · outbound

This paper cites Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation.

Subject Invariant Contrastive Learning for Human Activity Recognition Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

Reference 34

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Source-reported events for the cited work

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Observation f2d760d0-46e0-42ce-b23d-25b7317abd57 · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

Subject Invariant Contrastive Learning for Human Activity Recognition Contrastive Learning with Hard Negative Samples

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:54.449210Z

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Pith citing papers

Observation c525d550-4b3a-4c6c-9a99-9769a3ff6a42 · inbound

Hierarchical and Multimodal Data for Daily Activity Understanding cites this paper.

Hierarchical and Multimodal Data for Daily Activity Understanding Subject Invariant Contrastive Learning for Human Activity Recognition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:32.975141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition cites this paper.

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

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-01T22:48:42.392913Z

Source-reported events for the cited work

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