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Paper Citation Record · LEDGER

Towards SISO Bistatic Sensing for ISAC

As of 20 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 3 inbound Pith citation observations for arXiv:2508.12614.

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

pith.paper-citation-record.v1
2508.12614 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:30:08.725516Z

measured 84 of 84 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:34:06.682476Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

  • verified exact0
  • verified fuzzy62
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b5fe6ee-5c50-466e-9201-f2e5f155e017 · outbound

This paper cites #$%&’()*+,&*-’(.

Towards SISO Bistatic Sensing for ISAC #$%&’()*+,&*-’(

Reference 1

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

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Observation 3fef4eb0-6aba-44fb-af90-dfc2f40c1728 · outbound

This paper cites By ag- gregating across multiple CPIs, we obtain an unambiguous delay-Doppler-time tensor for downstream sensing tasks.

Towards SISO Bistatic Sensing for ISAC By ag- gregating across multiple CPIs, we obtain an unambiguous delay-Doppler-time tensor for downstream sensing tasks

Reference 2

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Observation 2ee199bd-8b3c-4fe6-8e41-c679f9454324 · outbound

This paper cites In addition, a Doppler-guided data augmentation strategy is introduced to enhance model generalization.

Towards SISO Bistatic Sensing for ISAC In addition, a Doppler-guided data augmentation strategy is introduced to enhance model generalization

Reference 3

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Observation ff3ae1e7-69e9-4c49-b3f1-d4251a026796 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 4

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

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Observation d070224c-e672-463e-9763-23f6bc1ba090 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 5

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

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Observation d802d9d3-cb76-4aa5-bb03-3685667f1931 · outbound

This paper cites (11),W i,j contains two conjugate-mirrored dynamic components, i.e.,H X i,j/HS i andH X i,j/H S i , whereas the by-product term does not exhibit 6 such symmetry.

Towards SISO Bistatic Sensing for ISAC (11),W i,j contains two conjugate-mirrored dynamic components, i.e.,H X i,j/HS i andH X i,j/H S i , whereas the by-product term does not exhibit 6 such symmetry

Reference 7

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Observation df097d83-9567-4627-9a68-678a32473dd1 · outbound

This paper cites Here,∆τ=τ X−τS denotes the relative delay between a dynamic path and a static path.

Towards SISO Bistatic Sensing for ISAC Here,∆τ=τ X−τS denotes the relative delay between a dynamic path and a static path

Reference 8

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

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Observation 4956da47-5ff2-408c-9546-8555abe9da27 · outbound

This paper cites The forward-backward smoothing can improve the effective rank of the matrix and strengthen the separation between the signal and noise subspaces [41].

Towards SISO Bistatic Sensing for ISAC The forward-backward smoothing can improve the effective rank of the matrix and strengthen the separation between the signal and noise subspaces [41]

Reference 9

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Observation 04fdf838-7b2b-4f95-a4a9-fe4e9bd3abc9 · outbound

This paper cites Widar2. 0: Passive human tracking with a single wi-fi link,.

Towards SISO Bistatic Sensing for ISAC Widar2. 0: Passive human tracking with a single wi-fi link,

Reference 10

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Observation c603cd70-5c93-449f-a6b2-6f803c904b2d · outbound

This paper cites WiDFS 2.0 [16] further enhances this pipeline by identifying multiple latent Doppler components from a tracked target, followed by delay and AoA estimation for each component.

Towards SISO Bistatic Sensing for ISAC WiDFS 2.0 [16] further enhances this pipeline by identifying multiple latent Doppler components from a tracked target, followed by delay and AoA estimation for each component

Reference 11

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Observation 9bbd5fbe-123d-4ef8-9c4e-87a33d8e7ee6 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 12

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

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Observation 164fba88-82a6-45b0-a84a-82280b3832c5 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 13

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

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Observation e9d669fe-363c-44ed-afd2-af84c8914d3e · outbound

This paper cites ForL Delay bins, the total cost isO LDelayN3 +L DelayNM.

Towards SISO Bistatic Sensing for ISAC ForL Delay bins, the total cost isO LDelayN3 +L DelayNM

Reference 14

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Observation aa0eb30e-c679-4762-8984-366d3a327a80 · outbound

This paper cites The overall complexity is dominated by MVDR beamform- ing and can be approximated asO LDelayN3.

Towards SISO Bistatic Sensing for ISAC The overall complexity is dominated by MVDR beamform- ing and can be approximated asO LDelayN3

Reference 15

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Observation c31d81ed-7c53-4e6d-b304-4a079330db18 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-15T17:30:08.405194Z digest=sha256:2d2cbd096f8be27258c1894b89d02c5a9904c8c7a7a602e32810dc66a1eabe2c

Observation f09bef08-a05a-49bc-9702-f43451c02e22 · outbound

This paper cites Instead, we retain delay bins as separate spatial channels, forming the 3D tensor Sdefined in Eq.

Towards SISO Bistatic Sensing for ISAC Instead, we retain delay bins as separate spatial channels, forming the 3D tensor Sdefined in Eq

Reference 17

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Observation d6bbc0fe-dc2a-4e0c-8b96-b271429eac57 · outbound

This paper cites Widar 3.0 [17] aligns multi-receiver Doppler profiles to form the BVP feature, which is then processed by a sequence modeling network.

Towards SISO Bistatic Sensing for ISAC Widar 3.0 [17] aligns multi-receiver Doppler profiles to form the BVP feature, which is then processed by a sequence modeling network

Reference 18

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Observation fc205e3d-5003-4c56-af38-364f1b7cc807 · outbound

This paper cites For example, considerv= (0,1)m/s,P Tx = (0,0)m, and PRx = (4,0)m.

Towards SISO Bistatic Sensing for ISAC For example, considerv= (0,1)m/s,P Tx = (0,0)m, and PRx = (4,0)m

Reference 19

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Observation beaef9f4-f320-4c08-93bd-cb80adbd44c2 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 20

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Observation 1fcde4bf-e1dc-4b53-9fc9-1a6142d1e1a8 · outbound

This paper cites Increasing the target’s speed results in a broader Doppler spread, while decreasing it compresses the Doppler range.

Towards SISO Bistatic Sensing for ISAC Increasing the target’s speed results in a broader Doppler spread, while decreasing it compresses the Doppler range

Reference 21

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Observation 6bb72dd7-91cc-42ce-99f0-961959bc6d12 · outbound

This paper cites During augmentation, such variation can be emulated by applying temporal shifts along the time axis.

Towards SISO Bistatic Sensing for ISAC During augmentation, such variation can be emulated by applying temporal shifts along the time axis

Reference 22

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Observation a594f4bf-0af4-4fe0-acac-c638bc4f7ffe · outbound

This paper cites To enhance the model robustness, we simulate these effects by injecting Gaussian noise into the Doppler-time spectrogram.

Towards SISO Bistatic Sensing for ISAC To enhance the model robustness, we simulate these effects by injecting Gaussian noise into the Doppler-time spectrogram

Reference 23

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Observation cc89ddeb-60cc-4c77-860d-8da72b1fd85e · outbound

This paper cites The model uses a 2D Doppler-Time tensorS ′ as input.

Towards SISO Bistatic Sensing for ISAC The model uses a 2D Doppler-Time tensorS ′ as input

Reference 24

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Observation 86cd3733-a7fd-40de-aa40-1c3615378642 · outbound

This paper cites Each input sample may contain multiple individuals performing different activities simultaneously.

Towards SISO Bistatic Sensing for ISAC Each input sample may contain multiple individuals performing different activities simultaneously

Reference 25

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source=pdf_text observed=2026-08-15T17:30:08.440692Z digest=sha256:3fc461ef1e85f0fa2860348813513b0d549eae8d087eff3794c2f57615fb4b7a

Observation d401f9a3-d43b-431b-b9e3-3696e0e84201 · outbound

This paper cites The target moves at a speed of 1 m/s.

Towards SISO Bistatic Sensing for ISAC The target moves at a speed of 1 m/s

Reference 26

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source=pdf_text observed=2026-08-15T17:30:08.444973Z digest=sha256:5bc2d3677d7aded9a602163f5fd6424aa4355d6557b92ae344007111673e0c5c

Observation f8089cda-f7a9-436a-bda3-1980a07d87f8 · outbound

This paper cites CSI from 30 subcarriers is sampled at 1 kHz using the Linux 802.11n CSI Tool [48].

Towards SISO Bistatic Sensing for ISAC CSI from 30 subcarriers is sampled at 1 kHz using the Linux 802.11n CSI Tool [48]

Reference 27

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source=pdf_text observed=2026-08-15T17:30:08.449925Z digest=sha256:dac2fa5bf07990149fc26006bb94a8466d8e4a0ec29f76db3b28eefbf2ae2ef7

Observation 3ccbfdd8-200e-44da-b679-ce29efc4d000 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 28

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Observation cb733ed1-b679-448d-a44e-a14214a0b49d · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-15T17:30:08.460490Z digest=sha256:5e2c3271df53ae9661f718992089d7484a8a1bb1670bc3181a2a21fdccf1d264

Observation 4cabc51a-82c6-43b2-8484-7f782969c8b0 · outbound

This paper cites To further benchmark performance, we also include the BVP feature [17], derived from a multi-receiver setup.

Towards SISO Bistatic Sensing for ISAC To further benchmark performance, we also include the BVP feature [17], derived from a multi-receiver setup

Reference 30

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source=pdf_text observed=2026-08-15T17:30:08.466780Z digest=sha256:0bd8a3bd4936c33814a0e94a53c0e837e71268617e8b8cd5ad7316c1b954ea40

Observation 257ec6e8-0af6-43ac-84f2-796dd89d123b · outbound

This paper cites 2 and Table.

Towards SISO Bistatic Sensing for ISAC 2 and Table

Reference 31

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source=pdf_text observed=2026-08-15T17:30:08.472419Z digest=sha256:5edc67361fe9fbe95cba0a183a2a9b01878626cdf8671a77f520fe2d587f8d58

Observation b33f9478-d745-40a2-8006-c3372906b5f3 · outbound

This paper cites And cross-frequency cross-correlation (CFCC) [25] also requires a strong LoS condition to function effectively.

Towards SISO Bistatic Sensing for ISAC And cross-frequency cross-correlation (CFCC) [25] also requires a strong LoS condition to function effectively

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.328742Z digest=sha256:a391a783bca6c709e8cdeb8c04324c10a48be7c831957f44e929e5283b13c716

Observation f6578437-c679-4bcf-b7d7-1ec22bf57dab · outbound

This paper cites 4 illustrates the extracted Doppler profiles for a single moving target.

Towards SISO Bistatic Sensing for ISAC 4 illustrates the extracted Doppler profiles for a single moving target

Reference 33

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source=pdf_text observed=2026-08-15T17:30:08.478043Z digest=sha256:a96463e7355d507185013a380ee9cd89caaddbc3d467f36695df62f7d9aa099d

Observation bb724e28-f163-4d7e-b099-1910a16fc6e9 · outbound

This paper cites 5 and Fig.

Towards SISO Bistatic Sensing for ISAC 5 and Fig

Reference 34

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source=pdf_text observed=2026-08-15T17:30:08.483059Z digest=sha256:9a9b77f74b6797a63a861958134036feb910acb59d36e1ea9d50154bec25cd7f

Observation c92c7592-2be9-45da-ae70-9a6218afa752 · outbound

This paper cites 8 and Table.

Towards SISO Bistatic Sensing for ISAC 8 and Table

Reference 35

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raw_fallback, observed 2026-08-15T17:30:09.681485Z

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.

source=pdf_text observed=2026-08-15T17:30:08.488228Z digest=sha256:979474c4aac4e1e628ab5bfb403279cae78aa705e90745460d5e3f04d3817603

Observation e27b9c8c-a18f-49e7-811c-7ae5cc43590f · outbound

This paper cites III summarizes the average latency on two platforms.

Towards SISO Bistatic Sensing for ISAC III summarizes the average latency on two platforms

Reference 36

Resolution
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raw_fallback, observed 2026-08-15T17:30:09.661284Z

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.

source=pdf_text observed=2026-08-15T17:30:08.495120Z digest=sha256:85c995060fde51712e837204601587a5b787be5dfd3ece2b5db2009227a264f8

Observation c3c000e6-7673-4552-8fc1-1307a53ebdac · outbound

This paper cites To ensure a fair comparison, all models are trained and evaluated on each dataset using a 70%-30% train-test split, with uniform sampling across different gestures.

Towards SISO Bistatic Sensing for ISAC To ensure a fair comparison, all models are trained and evaluated on each dataset using a 70%-30% train-test split, with uniform sampling across different gestures

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.645050Z

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.

source=pdf_text observed=2026-08-15T17:30:08.500327Z digest=sha256:c570d30dbb4c203c0d28f091860ed15025cffa1ce1ece0868cd85f947675fa9b

Observation 8ef46a05-8d7d-41f7-a7c1-87d1853573f2 · outbound

This paper cites •Impact of location:We train the model on data from four target positions and testing it on the remaining one.

Towards SISO Bistatic Sensing for ISAC •Impact of location:We train the model on data from four target positions and testing it on the remaining one

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.626891Z

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.

source=pdf_text observed=2026-08-15T17:30:08.505899Z digest=sha256:a6ce98bde1a883e420a89858c06bc37b9e0db2f4f47e9dbb90ddd98b0509373b

Observation 02120a25-a401-41ed-933a-9d2a58dfd0d9 · outbound

This paper cites A summary of these comparisons is provided in Table VIII.

Towards SISO Bistatic Sensing for ISAC A summary of these comparisons is provided in Table VIII

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.607320Z

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.

source=pdf_text observed=2026-08-15T17:30:08.511708Z digest=sha256:0bbad57a8b13814d7d7f93acb57f05f2decb9722783299a6088af03f69749a79

Observation 53e64288-5385-48a9-a305-ae948a308f0d · outbound

This paper cites 18:Impact of the number of people on sensing performance.

Towards SISO Bistatic Sensing for ISAC 18:Impact of the number of people on sensing performance

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.590963Z

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.

source=pdf_text observed=2026-08-15T17:30:08.517687Z digest=sha256:ce59b13ef7b64e2dbe16ce28b6af00fb3067f75e564bb6365a7be06faf39e4b6

Observation fae5cd47-edff-4def-8687-934f97900831 · outbound

This paper cites MobileViT-XXS is used for all comparisons.

Towards SISO Bistatic Sensing for ISAC MobileViT-XXS is used for all comparisons

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.574380Z

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.

source=pdf_text observed=2026-08-15T17:30:08.522693Z digest=sha256:cf7a8e0211c490711909b77e8c16fc87d3f99a90148d8ef1be6e89da019880a0

Observation c40f5b05-73b0-494d-8f76-cae885566bcc · outbound

This paper cites Lte-based pervasive sensing across indoor and outdoor,.

Towards SISO Bistatic Sensing for ISAC Lte-based pervasive sensing across indoor and outdoor,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.556250Z

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.

source=pdf_text observed=2026-08-15T17:30:08.528168Z digest=sha256:96d0c01e04ed96d2ec81ca487ed0f471cc91f64c661a845c0e7e92eaf3b4142f

Observation 16335317-0ce8-4dad-b145-2695e9e3449c · outbound

This paper cites Single-target real-time passive wifi tracking,.

Towards SISO Bistatic Sensing for ISAC Single-target real-time passive wifi tracking,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.386205Z

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.

source=pdf_text observed=2026-08-15T17:30:08.538482Z digest=sha256:aa6ac5aabace75793ef5ea7910e78b3cfa0838d4bac5ab955f67ab816a710e9d

Observation 302cac09-095f-412a-8c26-3d6aa3743c4e · outbound

This paper cites Uplink sensing using csi ratio in perceptive mobile networks,.

Towards SISO Bistatic Sensing for ISAC Uplink sensing using csi ratio in perceptive mobile networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.369167Z

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.

source=pdf_text observed=2026-08-15T17:30:08.543534Z digest=sha256:0ecdad74fbd6e69c2ecbc1fdcdda771a39d133d224851c4a1646e8b0dba31cc9

Observation 00a4cc58-711f-4d31-b885-dc21020cb52d · outbound

This paper cites Performance bounds and optimization for csi-ratio-based bi-static doppler sensing in isac systems,.

Towards SISO Bistatic Sensing for ISAC Performance bounds and optimization for csi-ratio-based bi-static doppler sensing in isac systems,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.351209Z

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.

source=pdf_text observed=2026-08-15T17:30:08.548648Z digest=sha256:f203ca67b677afbeed280667bdb1b6d62463a4a20ff952f277b225da57fce2a6

Observation d930b002-18b9-4032-9499-2d15ddee6a7b · outbound

This paper cites Development of an uplink sensing demonstrator for perceptive mobile networks,.

Towards SISO Bistatic Sensing for ISAC Development of an uplink sensing demonstrator for perceptive mobile networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.334497Z

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.

source=pdf_text observed=2026-08-15T17:30:08.554068Z digest=sha256:49439564416edee72eb821d31898f675e4f67191d3a69213e6d6ce934b409f06

Observation 5ad96eff-5fea-4672-9c12-7f0c52af4ff8 · outbound

This paper cites Jump: Joint communication and sensing with unsynchronized transceivers made practical,.

Towards SISO Bistatic Sensing for ISAC Jump: Joint communication and sensing with unsynchronized transceivers made practical,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.316894Z

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.

source=pdf_text observed=2026-08-15T17:30:08.559043Z digest=sha256:a8fe4b215663824e6c1ca282060a8cd6628ca4d8bb48ea75a55ed1e0e07a70ab

Observation 47ac7097-1d7f-4ea9-96ed-21ebfb859e54 · outbound

This paper cites Passive human tracking with wifi point clouds,.

Towards SISO Bistatic Sensing for ISAC Passive human tracking with wifi point clouds,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.299229Z

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.

source=pdf_text observed=2026-08-15T17:30:08.564056Z digest=sha256:aa6599db01f882af577f78ae42baca26882513ba1c061fc9d21229e0dd0636cc

Observation 3e4dd776-732c-42da-aacf-efbc542e7a4b · outbound

This paper cites Widar3. 0: Zero-effort cross-domain gesture recognition with wi- fi,.

Towards SISO Bistatic Sensing for ISAC Widar3. 0: Zero-effort cross-domain gesture recognition with wi- fi,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.281747Z

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.

source=pdf_text observed=2026-08-15T17:30:08.568776Z digest=sha256:6eeb18f560de2faf6da02025e239c0e365b6d9c206f4377256974edb56a497c7

Observation 7cffd14c-f459-4aca-bc0d-183ad0d328c6 · outbound

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

Towards SISO Bistatic Sensing for ISAC Sharp:environment and person independent activity recognition with commodity ieee 802.11 access points,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.265250Z

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.

source=pdf_text observed=2026-08-15T17:30:08.573890Z digest=sha256:f0f2b9563beb4fd6c3198135ae1d92e6ff51a10ce22ccba6cc2e5ff3e2238795

Observation befc13d7-7394-45d0-b816-66570f6c14a3 · outbound

This paper cites Pushing the limits of wifi sensing with low transmission rates,.

Towards SISO Bistatic Sensing for ISAC Pushing the limits of wifi sensing with low transmission rates,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.249307Z

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.

source=pdf_text observed=2026-08-15T17:30:08.578704Z digest=sha256:abfefa2a42d0cfd2b601189336e387d9bb3a8d70f491b4c043fe984618a84ca2

Observation dc02ae49-c856-4d3a-b4b5-611d6737fedc · outbound

This paper cites Deep learning based water level sensing with interference suppression for isac systems,.

Towards SISO Bistatic Sensing for ISAC Deep learning based water level sensing with interference suppression for isac systems,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.231889Z

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.

source=pdf_text observed=2026-08-15T17:30:08.583229Z digest=sha256:ae84659e2a14576b31f48755131502f28e88c0902b50264060ef2484b4cb2d28

Observation f22e98df-12ba-4e6f-be68-0f1d052ee0e6 · outbound

This paper cites Vision transformers for human activity recognition using wifi channel state information,.

Towards SISO Bistatic Sensing for ISAC Vision transformers for human activity recognition using wifi channel state information,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T17:30:08.587482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.587482Z digest=sha256:36851b7a9026f464639a532e0f00ee7c0e0551d5fb6852e4b32b0398eff6620f

Observation c34e34a2-14ef-42d1-8b3a-2ac9f657418b · outbound

This paper cites Leveraging online learning for domain-adaptation in wi-fi-based device-free localization,.

Towards SISO Bistatic Sensing for ISAC Leveraging online learning for domain-adaptation in wi-fi-based device-free localization,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.202306Z

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.

source=pdf_text observed=2026-08-15T17:30:08.591964Z digest=sha256:f1f7072bc77996731ae3dc2d887e06af8336b3f307258b6e7fe5e968b0dcceb8

Observation 00b8f8c9-effd-4f71-80ce-883be49cf8cc · outbound

This paper cites Multi-modal integrated sensing and communication in internet of things with large language models,.

Towards SISO Bistatic Sensing for ISAC Multi-modal integrated sensing and communication in internet of things with large language models,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.185418Z

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.

source=pdf_text observed=2026-08-15T17:30:08.596153Z digest=sha256:50eab324af8b140de29542800905412db256c0d51cd4f1fc5a204e257af4a55d

Observation 0ad08bcb-a5ee-4bff-bcca-624eef5e7a8b · outbound

This paper cites An overview on ieee 802.11 bf: Wlan sensing,.

Towards SISO Bistatic Sensing for ISAC An overview on ieee 802.11 bf: Wlan sensing,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.169072Z

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.

source=pdf_text observed=2026-08-15T17:30:08.600454Z digest=sha256:4a106be45d4cf498a78c326342ee284fe376a2c222fb83737aca304283d5209c

Observation 84cb7768-adc0-411f-bf4a-e88807cd2df7 · outbound

This paper cites Cross- frequency sensing in bistatic isac systems,.

Towards SISO Bistatic Sensing for ISAC Cross- frequency sensing in bistatic isac systems,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.152740Z

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.

source=pdf_text observed=2026-08-15T17:30:08.604680Z digest=sha256:82cd65fe5f5273ad8411bc7c24b3032d10bd83c0f14f17a2467adfa21babf4df

Observation 040e5988-d15e-43f7-86ad-c227ef08a369 · outbound

This paper cites Wirelessgpt: A generative pre-trained multi-task learning framework for wireless communication,.

Towards SISO Bistatic Sensing for ISAC Wirelessgpt: A generative pre-trained multi-task learning framework for wireless communication,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.136002Z

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.

source=pdf_text observed=2026-08-15T17:30:08.609046Z digest=sha256:0b3ff1d221ce0bb4c3f21784db18f8d3bec60cf1540739b7935c88421ccf6347

Observation ecd7a25b-ed81-4515-96e5-c0cf8525a740 · outbound

This paper cites an unresolved cited work.

Towards SISO Bistatic Sensing for ISAC Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T17:30:08.613216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.613216Z digest=sha256:b3193d65ad4de527e4d8cc679b8c66bfd2f00a96ca3543dedbb5b300fb4fdaf8

Observation 9cf24b19-47e3-4eb0-a0e3-02e5caf9d0f9 · outbound

This paper cites Mobilevit: Light-weight, general- purpose, and mobile-friendly vision transformer,.

Towards SISO Bistatic Sensing for ISAC Mobilevit: Light-weight, general- purpose, and mobile-friendly vision transformer,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.108968Z

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.

source=pdf_text observed=2026-08-15T17:30:08.617645Z digest=sha256:178fd5c84a41c484a90f4fe4747413e008976081de0cb2226354ff0b08b01d5a

Observation dc9dab42-eb09-4856-a927-7eb65e465a38 · outbound

This paper cites Wimans: A benchmark dataset for wifi-based multi- user activity sensing,.

Towards SISO Bistatic Sensing for ISAC Wimans: A benchmark dataset for wifi-based multi- user activity sensing,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.093290Z

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.

source=pdf_text observed=2026-08-15T17:30:08.622898Z digest=sha256:81ddfb26d42b089807e5fc879e28543404deadcaf2e2b6407e5134300151b051

Observation 0bd78e40-afd1-4476-970c-b7d408bf1e5c · outbound

This paper cites Sensing in bistatic isac systems with clock asynchronism: A signal processing perspective,.

Towards SISO Bistatic Sensing for ISAC Sensing in bistatic isac systems with clock asynchronism: A signal processing perspective,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.077154Z

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.

source=pdf_text observed=2026-08-15T17:30:08.628168Z digest=sha256:7c18ea3fdfd0f0f9ecaf21473ed8f778de4661e25511e2dbcec0e5e8361ec5f2

Observation aa772095-1ce2-4eec-b5ca-95dc454033bd · outbound

This paper cites Signal subspace tracking for aoa estimation in isac systems,.

Towards SISO Bistatic Sensing for ISAC Signal subspace tracking for aoa estimation in isac systems,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.061183Z

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.

source=pdf_text observed=2026-08-15T17:30:08.633029Z digest=sha256:c2c0e79b6274aee1ad9d09a86bf1294a28dec12b0e54374c35335ea347fc412e

Observation 4b8395a4-89ed-4294-b346-54e5fbb951cf · outbound

This paper cites A low-complexity csi- based wifi sensing scheme for los-dominant scenarios,.

Towards SISO Bistatic Sensing for ISAC A low-complexity csi- based wifi sensing scheme for los-dominant scenarios,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.046165Z

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.

source=pdf_text observed=2026-08-15T17:30:08.638086Z digest=sha256:74455954b5a01fdbd8fb2d4393ab5d10be79c1149060a176dff5dac4c83f0264

Observation 726be988-d0a1-4a92-a54c-1fdebf0f6ba5 · outbound

This paper cites Decimeter ranging with channel state information,.

Towards SISO Bistatic Sensing for ISAC Decimeter ranging with channel state information,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.031159Z

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.

source=pdf_text observed=2026-08-15T17:30:08.642869Z digest=sha256:2494c12e981fdb561ccb806b6c87d5ab1969415c880eee03242ed98c4970be9e

Observation 9407d4bc-0964-451a-86cd-f60324a57f5d · outbound

This paper cites Rethink- ing doppler effect for accurate velocity estimation with commodity wifi devices,.

Towards SISO Bistatic Sensing for ISAC Rethink- ing doppler effect for accurate velocity estimation with commodity wifi devices,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:09.015081Z

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.

source=pdf_text observed=2026-08-15T17:30:08.647489Z digest=sha256:e06c0eef009eda4cac1985ec203ec2716afb482fe049ca9cc138ced1cc471b27

Observation 3580097e-bc81-45f5-a4a4-cde694092025 · outbound

This paper cites Autoloc: Toward ubiquitous aoa-based indoor localization using commodity wifi,.

Towards SISO Bistatic Sensing for ISAC Autoloc: Toward ubiquitous aoa-based indoor localization using commodity wifi,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:08.996486Z

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.

source=pdf_text observed=2026-08-15T17:30:08.651927Z digest=sha256:24d68c4f33aabb0c20d5fee7207812592a4884ae5697077e024d6b41887a5c8c

Observation 0bac8c9f-15cf-4fcd-aad3-871f05fb210f · outbound

This paper cites md-track: Leveraging multi- dimensionality for passive indoor wi-fi tracking,.

Towards SISO Bistatic Sensing for ISAC md-track: Leveraging multi- dimensionality for passive indoor wi-fi tracking,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:08.980206Z

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.

source=pdf_text observed=2026-08-15T17:30:08.656567Z digest=sha256:21ad4e78ae38833413d8f5d0e1f77c668910664305903721377dcdedcb276139

Observation 8edc5c59-9ec2-432a-9428-6c7cdd9e6558 · outbound

This paper cites Uplink sensing in perceptive mobile networks with asynchronous transceivers,.

Towards SISO Bistatic Sensing for ISAC Uplink sensing in perceptive mobile networks with asynchronous transceivers,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:08.963664Z

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.

source=pdf_text observed=2026-08-15T17:30:08.661550Z digest=sha256:409051aa9736d9b85580e5bf554054e94491b38b9040b2ce845e243d82f32495

Observation 25350544-bc04-4cb7-8a82-fd0bef022d08 · outbound

This paper cites Tensor decompo- sitions for integrated sensing and communications,.

Towards SISO Bistatic Sensing for ISAC Tensor decompo- sitions for integrated sensing and communications,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:30:08.929148Z

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.

source=pdf_text observed=2026-08-15T17:30:08.666339Z digest=sha256:f804c8f45c1254986ffc5dd1e68c8a282e51d98ce39ad00d33352a85134642d3

Observation 825ab223-3c19-4b34-8f95-fdbad9608427 · outbound

This paper cites Slnet: A spectrogram learning neural network for deep wireless sensing,.

Towards SISO Bistatic Sensing for ISAC Slnet: A spectrogram learning neural network for deep wireless sensing,

Reference 71

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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.

source=pdf_text observed=2026-08-15T17:30:08.671138Z digest=sha256:2ed71b3cb32947f34c2b45b00898b9a6c2bc06ea9c204b03df809a10f02d304a

Observation 8933e42a-99b7-4a1a-8f03-c74019cee4f6 · outbound

This paper cites Indotrack: Device-free indoor human tracking with commodity wi- fi,.

Towards SISO Bistatic Sensing for ISAC Indotrack: Device-free indoor human tracking with commodity wi- fi,

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.675945Z digest=sha256:5158372e3abad865494b7e5702efd1401f852d26bf270ff1dc429170f2e5971a

Observation df9d24b4-e771-4318-87ae-006301592368 · outbound

This paper cites On robust capon beamforming and diagonal loading,.

Towards SISO Bistatic Sensing for ISAC On robust capon beamforming and diagonal loading,

Reference 73

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raw_fallback, observed 2026-08-15T17:30:08.887107Z

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.

source=pdf_text observed=2026-08-15T17:30:08.680855Z digest=sha256:7e99b38cc4b89c2fc985621f0e90e3a61b67ddbbb2563e28213e3614abd9c1c7

Observation c6abde16-f999-4668-8d99-00430db7cabc · outbound

This paper cites Cross-domain wifi sensing with channel state information: A survey,.

Towards SISO Bistatic Sensing for ISAC Cross-domain wifi sensing with channel state information: A survey,

Reference 74

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no resolver link, observed 2026-08-15T17:30:08.685587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.685587Z digest=sha256:74e83d2f1a2d0e2fdea34d3dcb470a7e95d3dec7ad55243cc18728870abd72dc

Observation 9d6b66c1-ebc4-4d85-86d1-1ff6f22d08c3 · outbound

This paper cites Slim-sense: A resource efficient wifi sensing framework towards integrated sensing and communication,.

Towards SISO Bistatic Sensing for ISAC Slim-sense: A resource efficient wifi sensing framework towards integrated sensing and communication,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-15T17:30:08.859700Z

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.

source=pdf_text observed=2026-08-15T17:30:08.690695Z digest=sha256:9ee27eb81024da8194c69929397980ad7a73e38e26b404f082bef3a48c6dd8aa

Observation 6d7e7d49-8f3c-464a-a5ab-b10b00948637 · outbound

This paper cites Mo- bilenetv2: Inverted residuals and linear bottlenecks,.

Towards SISO Bistatic Sensing for ISAC Mo- bilenetv2: Inverted residuals and linear bottlenecks,

Reference 76

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unresolved
no resolver link, observed 2026-08-15T17:30:08.695546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.695546Z digest=sha256:6ffad1ec74782bfc1632c00ba8b3e7637b021c13ab5ff931193ebba9c83b0553

Observation 95a94afb-f5be-4a38-a552-e626cd2215c6 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

Towards SISO Bistatic Sensing for ISAC SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 77

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no resolver link, observed 2026-08-15T17:30:08.701181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.701181Z digest=sha256:db352ba5440c9c4db72452b85c0f09d5eb81fabd7bef7f14c8fa49723efa558d

Observation 029e9a29-c791-4321-b77e-6ac24faf61fe · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design,.

Towards SISO Bistatic Sensing for ISAC Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 78

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no resolver link, observed 2026-08-15T17:30:08.706705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.706705Z digest=sha256:3c784ba37cee907ed3cf7a1bb798e422085f55e89bb302edba8eb74e649aabf9

Observation 8080b67d-c6d5-41ec-b7ed-b8276d18b409 · outbound

This paper cites Deep residual learning for image recognition,.

Towards SISO Bistatic Sensing for ISAC Deep residual learning for image recognition,

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.711727Z digest=sha256:84dbe63e2a044326cce89f089461fd1e5b35905b79d8c1c81862085f0fecf44c

Observation 93270924-2bd2-4706-a01a-6a955130002e · outbound

This paper cites Tool release: Gathering 802.11 n traces with channel state information,.

Towards SISO Bistatic Sensing for ISAC Tool release: Gathering 802.11 n traces with channel state information,

Reference 80

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no resolver link, observed 2026-08-15T17:30:08.716446Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:30:08.716446Z digest=sha256:21bb21c5ee62df23fb569574f62658003b48116578a7feabd721ec4afe18d3ff

Observation 5823b778-7be0-48e3-8661-7cc6ad14448b · outbound

This paper cites Numba: A llvm-based python jit compiler,.

Towards SISO Bistatic Sensing for ISAC Numba: A llvm-based python jit compiler,

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:30:08.721069Z digest=sha256:04f820de8cb237357a10a8311bdfb6691f63bd39901f62f145e27fd5429757b8

Observation 0aed2736-7d4e-48f1-aac9-084a949740a3 · outbound

This paper cites Sensefi: A library and benchmark on deep-learning-empowered wifi human sensing,.

Towards SISO Bistatic Sensing for ISAC Sensefi: A library and benchmark on deep-learning-empowered wifi human sensing,

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-15T17:30:08.787402Z

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.

source=pdf_text observed=2026-08-15T17:30:08.725516Z digest=sha256:f9fc86387b3edd91ef9bfd188b80c8b7940686515aa607bdd37550364bf61c0a

Pith citing papers

Observation 24176b2f-b328-4ee7-a1ea-c638eba37c2c · inbound

WiFi Sensing via Reservoir Computing cites this paper.

WiFi Sensing via Reservoir Computing Towards SISO Bistatic Sensing for ISAC

Reference 11

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no resolver link, observed 2026-08-01T10:49:16.721873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:49:16.721873Z digest=sha256:bf52c08a5feb4810214e0a2f8aab3d876e54aa0495ae1c070167a9096d61a361

Observation 7f2eab7f-53e4-4ed9-88c1-e65f6916c499 · inbound

Ambiguity-Resolved Micro-Doppler Construction for Asynchronous Bistatic Sensing cites this paper.

Ambiguity-Resolved Micro-Doppler Construction for Asynchronous Bistatic Sensing Towards SISO Bistatic Sensing for ISAC

Reference 3

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T10:50:08.991356Z digest=sha256:ed2fb851974762f8bd2f481a002fa04c4d5f25da8e47663053d162e69af9d470

Observation 5907566c-d021-4bc4-8375-f2c0e6da778f · 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 Towards SISO Bistatic Sensing for ISAC

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:34:06.682476Z digest=sha256:1e66938b05214b8226721f3c19d89d42cddc468605b21cd81e9c678020329d23