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Paper Citation Record · LEDGER

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2510.24936.

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

pith.paper-citation-record.v1
2510.24936 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:41:13.988707Z

measured 17 of 17 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:34:07.608001Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b51a255-65e2-4eb7-bb4a-c80dbebf01b6 · outbound

This paper cites Wifi-based human sensing with deep learning: Recent advances, challenges, and opportunities,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Wifi-based human sensing with deep learning: Recent advances, challenges, and opportunities,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a3f1615-d8fe-4fcd-9ff1-6e08db5d0d81 · outbound

This paper cites Efficientfi: Toward large-scale lightweight wifi sensing via csi compression,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Efficientfi: Toward large-scale lightweight wifi sensing via csi compression,

Reference 2

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no resolver link, observed 2026-08-04T07:41:12.705682Z

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Observation 7cee0bb9-400b-43a0-ba57-949594efcc59 · outbound

This paper cites A deep learning based lightweight human activity recognition system using reconstructed wifi csi,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition A deep learning based lightweight human activity recognition system using reconstructed wifi csi,

Reference 3

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Observation ef1d83a4-360e-4055-8f1e-67d209906021 · outbound

This paper cites Deep learning of csi for efficient device-free human activity recognition,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Deep learning of csi for efficient device-free human activity recognition,

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T07:41:12.907405Z digest=sha256:c59e2114ab30da0d994c41ff0453f419d5d320c470f517b77f577252e063de8d

Observation 6076098c-b3a8-4765-a1e6-d8d80e531a72 · outbound

This paper cites Going Deeper with Convolutions.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Going Deeper with Convolutions

Reference 5

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source=pdf_text observed=2026-08-04T07:41:12.998535Z digest=sha256:704780195395b8eefc630ad0e6c79a360cd08a552985ae9f038861519763d9c1

Observation 4b63e72d-68de-4669-b5c0-45ba023406a5 · outbound

This paper cites Ensemble multifeatured deep learning models and applications: A survey,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Ensemble multifeatured deep learning models and applications: A survey,

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:41:13.121150Z digest=sha256:93ed4508c2b2e4288e323825756fffa0f4bf2d9a7f75eeff20103a63c1cf8621

Observation 9b36d8a1-0c55-490e-96f4-6f1f081e4459 · outbound

This paper cites Sharp: Environment and person independent activity recognition with commodity ieee 802.11 access points,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Sharp: Environment and person independent activity recognition with commodity ieee 802.11 access points,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:41:13.233766Z digest=sha256:fe3a6564587bff7cffb946639f1bf6ffb938dc813f0023086c491ee46af73500

Observation 3b78fc63-c501-4bb8-85f8-07799dbc8521 · outbound

This paper cites A cross-subject transfer learning method for csi-based wireless sensing,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition A cross-subject transfer learning method for csi-based wireless sensing,

Reference 8

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Unavailable: canonical work link unavailable.

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Observation fb6af9fa-62a2-49c3-b18c-563583cced9a · outbound

This paper cites Channel state information (csi) amplitude coloring scheme for enhancing accuracy of an indoor occupancy detection system using wi-fi sensing,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Channel state information (csi) amplitude coloring scheme for enhancing accuracy of an indoor occupancy detection system using wi-fi sensing,

Reference 9

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source=pdf_text observed=2026-08-04T07:41:13.457198Z digest=sha256:beb514ffb0c43884419bdcc8edbf9161801a587f546da60db950da8da672684f

Observation 9bfcd78d-310d-42be-94ea-b40798e65e6f · outbound

This paper cites Device-free single-user activity recognition using diversified deep ensemble learning,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Device-free single-user activity recognition using diversified deep ensemble learning,

Reference 10

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source=pdf_text observed=2026-08-04T07:41:13.548044Z digest=sha256:81544d8d843928145cb9ffb84b2b8a716aeb7b110882cdaccd4cb7741dac5880

Observation 0b8341e3-ae8c-48bc-813d-47cbef201fb7 · outbound

This paper cites Non-contact cross-person activity recognition by deep metric ensemble learning,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Non-contact cross-person activity recognition by deep metric ensemble learning,

Reference 11

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Observation 3ab7d07f-4587-4344-ad55-d5e21f229923 · outbound

This paper cites Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations ,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations ,

Reference 12

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source=pdf_text observed=2026-08-04T07:41:13.683181Z digest=sha256:a5d01a5ab6f6f6c4a09737afa1c71d4a4dc559449c357cbb34ed8864376089de

Observation 894dc8e0-c19f-4762-81f6-eb711af62c79 · outbound

This paper cites Kolodiazhnyi,Hands-On Machine Learning with C++.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Kolodiazhnyi,Hands-On Machine Learning with C++

Reference 13

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Observation 7bed2117-a1c6-446e-a125-9962777a0bac · outbound

This paper cites Based on radial basis kernel function of support vector machines for speaker recognition,.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Based on radial basis kernel function of support vector machines for speaker recognition,

Reference 14

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source=pdf_text observed=2026-08-04T07:41:13.988707Z digest=sha256:3f86372b830230aea8aa29ba5789003e6ebf322f9f029af56f7bdf682f6afdb7

Observation bb2a4119-02ae-42cf-a3ce-72cbf722c195 · outbound

This paper cites Available: https://www.packtpub.com/product/ hands-on-machine-learning-with-c/9781800203257.

IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition Available: https://www.packtpub.com/product/ hands-on-machine-learning-with-c/9781800203257

Reference 17

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source=pdf_text observed=2026-08-04T07:41:13.885395Z digest=sha256:f089f7f1a831f388e43d54f86ef678bd18efde95ef85dfce46fffb08c316bdbc

Pith citing papers

Observation a110f7d5-c5b3-4f77-8b6b-796e0af75b1b · inbound

Zero-Fi: Zero-Shot Wi-Fi-Based Human Activity Recognition via Contrastive Signal-Language Alignment cites this paper.

Zero-Fi: Zero-Shot Wi-Fi-Based Human Activity Recognition via Contrastive Signal-Language Alignment IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition

Reference 37

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source=arxiv_source observed=2026-08-01T17:04:07.584383Z digest=sha256:2a4303ed6686816b9a3e9d3915f41af49cb0097564e2a9d3c80e9332bcad33f6

Observation 3ad453af-2e91-4ce5-a979-f80e89fd8ec3 · inbound

WiFuse: An Attention Mechanism for Human Activity Recognition using Fused CSI Amplitude and Delay-Doppler Channel Features cites this paper.

WiFuse: An Attention Mechanism for Human Activity Recognition using Fused CSI Amplitude and Delay-Doppler Channel Features IBIS: A Hybrid Inception-BiLSTM and SVM Ensemble for Robust Doppler-based Human Activity Recognition

Reference 13

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