Paper Citation Record · LEDGER

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.05671.

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

pith.paper-citation-record.v1
2509.05671 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:17:44.469845Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact2
verified fuzzy15
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 273a8a5c-766d-4391-bedb-e3d498a01508 · outbound

This paper cites Mmhar-ensemnet: a multi-modal human activity recognition model.IEEE Sensors Journal, 21(10):11569–11576, 2020.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Mmhar-ensemnet: a multi-modal human activity recognition model.IEEE Sensors Journal, 21(10):11569–11576, 2020

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.902149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4893dc1-3e09-42e7-b761-3c28faf3b1e0 · outbound

This paper cites A unified framework for multi-modal federated learning.Neurocomputing, 480:110–118, 2022.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR A unified framework for multi-modal federated learning.Neurocomputing, 480:110–118, 2022

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.884940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06a0b7dc-c0da-4b45-ba20-9147a07221bb · outbound

This paper cites Cross-modal federated human activity recogni- tion.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(8):5345–5361, 2024.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Cross-modal federated human activity recogni- tion.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(8):5345–5361, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.866075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e8c9afc5-e0c5-4b9d-879f-0347d59186bd · outbound

This paper cites Differentially private human activity recognition for smartphone users.Multimedia Tools and Applications, 81(28):40827–40848, 2022.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Differentially private human activity recognition for smartphone users.Multimedia Tools and Applications, 81(28):40827–40848, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.848365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 315864a7-a7bf-4772-962d-f06b352ea87e · outbound

This paper cites Deep learning with differential privacy.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Deep learning with differential privacy

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T05:17:44.387608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 599118df-35b8-498f-bb27-2698f26788a2 · outbound

This paper cites Differential privacy for deep and federated learning: A survey.IEEE access, 10:22359–22380, 2022.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Differential privacy for deep and federated learning: A survey.IEEE access, 10:22359–22380, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.819386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f80cc1c-4a16-4817-b7e2-b3e701417ef0 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis.IEEE transactions on information forensics and security, 15:3454–3469, 2020.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Federated learning with differential privacy: Algorithms and performance analysis.IEEE transactions on information forensics and security, 15:3454–3469, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.800865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ca0623d6-2aae-49a4-86b8-aff4e35abdea · outbound

This paper cites Temporal differential privacy for human activity recognition.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Temporal differential privacy for human activity recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.782331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2125b7e-7f91-41eb-8b4f-2705a4efc128 · outbound

This paper cites A new framework for smartphone sensor based human activity recognition using graph neural network.IEEE Sensors Journal, 2020.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR A new framework for smartphone sensor based human activity recognition using graph neural network.IEEE Sensors Journal, 2020

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.765507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42266019-c205-41ea-ae2a-eeeb4e36e071 · outbound

This paper cites MHARFedLLM: Multimodal Human Activity Recognition Using Federated Large Language Model.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR MHARFedLLM: Multimodal Human Activity Recognition Using Federated Large Language Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:17:44.411356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f42bcb9e-e03c-4ef6-93cd-de316adfafe0 · outbound

This paper cites Body rfid skeleton-based human activity recognition using graph convolution neural network.IEEE Transactions on Mobile Computing, 23(6):7301–7317, 2023.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Body rfid skeleton-based human activity recognition using graph convolution neural network.IEEE Transactions on Mobile Computing, 23(6):7301–7317, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.748779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b040125c-66df-4a89-b757-bf03348f6d9c · outbound

This paper cites an unresolved cited work.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:17:44.730534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e499dc8-2f11-4403-b0d1-d59fe7ecb361 · outbound

This paper cites Grafehty: Graph neural network using federated learning for human activity recognition.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Grafehty: Graph neural network using federated learning for human activity recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.713084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 77ab63d6-6e4b-4757-956c-3d2143a05b34 · outbound

This paper cites Graph convolutional neu- ral network for human action recognition: A comprehensive survey.IEEE Transactions on Artificial Intelligence, 2(2):128–145, 2021.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Graph convolutional neu- ral network for human action recognition: A comprehensive survey.IEEE Transactions on Artificial Intelligence, 2(2):128–145, 2021

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.693401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef8751c1-f56e-46dc-8b2a-940ec29565ae · outbound

This paper cites A review of machine learning-based human activity recognition for diverse applications.Neural Computing and Applications, 34(21):18289–18324, 2022.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR A review of machine learning-based human activity recognition for diverse applications.Neural Computing and Applications, 34(21):18289–18324, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.675812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e410f8fc-6382-45bc-b018-7b64a6045ccc · outbound

This paper cites Transformer-based Models to Deal with Heterogeneous Environments in Human Activity Recognition.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Transformer-based Models to Deal with Heterogeneous Environments in Human Activity Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:17:44.566972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de01ecff-f7d5-47b3-b40a-e71f96cbd340 · outbound

This paper cites Differentially private integrated decision gradients (idg-dp) for radar-based human activity recognition.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Differentially private integrated decision gradients (idg-dp) for radar-based human activity recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.656521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0693744-5103-4b88-b694-b7f7aac9ac8a · outbound

This paper cites Human activity recognition using machine learning methods in a smart healthcare environment.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Human activity recognition using machine learning methods in a smart healthcare environment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.636014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44de5688-8a41-4c54-a345-d55f499a9115 · outbound

This paper cites Deep convlstm with self-attention for human activity decoding using wearable sensors.IEEE Sensors Journal, 21(6):8575–8582, 2020.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Deep convlstm with self-attention for human activity decoding using wearable sensors.IEEE Sensors Journal, 21(6):8575–8582, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:17:44.615214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 789373e4-e1ea-4f80-98b5-3ad038ce89e7 · outbound

This paper cites Attention is all you need.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Attention is all you need

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:17:44.458800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b1405b-9d34-4371-bd19-d9db2b5e224a · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR Semi-Supervised Classification with Graph Convolutional Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T05:17:44.464130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bc7d275-f85f-46ce-bcaa-55e05e294fe0 · outbound

This paper cites A Graph Federated Architecture with Privacy Preserving Learning.

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR A Graph Federated Architecture with Privacy Preserving Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:17:44.519682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.