Pith. sign in

Paper Citation Record · LEDGER

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:17:44.367538Z digest=sha256:c41390003f7cee2a1d57efdf600775f8e31e434934a370fa0b19eb0259107114

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

source=pdf_text observed=2026-08-05T05:17:44.372886Z digest=sha256:529f608cbb9f5edd62178ddf5211312f043c30f471d7a435cf2aa1eb273a13e3

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

source=pdf_text observed=2026-08-05T05:17:44.377714Z digest=sha256:4fc6638649d9a98ab9ceffdc07fe7680607a81a9ef433216053337dd97d0b18f

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

source=pdf_text observed=2026-08-05T05:17:44.382569Z digest=sha256:633f7b78f72417e9ce14eb36308aac371839bd69e794eac68ebe89cecf0156c6

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.

source=pdf_text observed=2026-08-05T05:17:44.387608Z digest=sha256:de43d6dfc7f03671628243a2c566fce335f81bdbd370702758589b24583d992d

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

source=pdf_text observed=2026-08-05T05:17:44.392491Z digest=sha256:3ae9b14223df99b6cb553734e88d453d2195d8209f3bcdc3216cefb3df4ceef8

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

source=pdf_text observed=2026-08-05T05:17:44.397696Z digest=sha256:65aac67e24dc42169f900eaea67984fce1217c0ad4d3b5c1c8294495242abde7

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

source=pdf_text observed=2026-08-05T05:17:44.402249Z digest=sha256:57841d56fbc98afc5d0e27545abcc02afdbc235d6d9d39d75eec09c64c091f32

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

source=pdf_text observed=2026-08-05T05:17:44.406751Z digest=sha256:bd6491fc9e692a581e494e0a2e48fc9312268b0df6067337ebbd5572bdcb90a6

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.

source=pdf_text observed=2026-08-05T05:17:44.411356Z digest=sha256:4c014f08aeb40af13164431e49f0e36aaead85d4a47b6829fdbadeae00b4624b

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

source=pdf_text observed=2026-08-05T05:17:44.416350Z digest=sha256:abd9307ebb46b941b08f133e3a815561c44edcac2e80d9fadd3f531467d4931d

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

source=pdf_text observed=2026-08-05T05:17:44.421080Z digest=sha256:2270bc16be192a880953f519a1e918b9e2d14c8c68f67eacd9c102cad5ebd20e

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

source=pdf_text observed=2026-08-05T05:17:44.425772Z digest=sha256:8cceaa22d60ba26c43359d1cfe018cfdcc7a93ab790eac663d683b785c882b02

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

source=pdf_text observed=2026-08-05T05:17:44.430297Z digest=sha256:cb44b7aa475879bc938700983a70abe2844f7bba9fd668366f57f1f008ac5ca2

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

source=pdf_text observed=2026-08-05T05:17:44.434649Z digest=sha256:b1e7d79502ac71302f9f6c32cd60a85597d70e0ea6de1519ed87480adc32ccf4

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

source=pdf_text observed=2026-08-05T05:17:44.439032Z digest=sha256:61876dcf5cae39a33f21f472703da988869dea70af4c710a958bcd704bf97ce0

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

source=pdf_text observed=2026-08-05T05:17:44.444128Z digest=sha256:73ad60ae1035cc2949e96873b544699656ca850a0f9315ae38f1753942f910a7

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

source=pdf_text observed=2026-08-05T05:17:44.449188Z digest=sha256:a101814f7d07ce9c8d5278f3937711f6380cc03649b8af8fe1c639a838c4c08c

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

source=pdf_text observed=2026-08-05T05:17:44.453592Z digest=sha256:5444fb6ede2ce7f1e2579f5737cd9db33c090fcdbcc68341da72eef5e3985577

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.

source=pdf_text observed=2026-08-05T05:17:44.458800Z digest=sha256:aff7856b106dcf0b5f74253d8f40ce8821e80d67d49a34a22bcd07a16abf5e51

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.

source=pdf_text observed=2026-08-05T05:17:44.464130Z digest=sha256:6ddbce853babd3899957bee5a068050f7853df9f984b4988a81bf5f6163056bb

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

source=pdf_text observed=2026-08-05T05:17:44.469845Z digest=sha256:5a2e0e43921b7e6044fa9851fa0b7bb3c315a438752cf3cf6b514a83b0c124c2

Pith citing papers

No inbound Pith citation observations are available.