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Paper Citation Record · LEDGER

Towards SISO Bistatic Sensing for ISAC

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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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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 2026-08-21T06:32:19.484+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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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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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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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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source=pdf_text observed=2026-08-15T17:30:08.423875Z digest=sha256:fbcfa65df0be40b73a21cbc850d2b36fe22d7516074bb79564ea3ec10ce70bc1

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=sha256:484718ed0b0b5977f044349d32b89c9e081e9d928aa7ff9f9990355b85b7dfe4

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=sha256:5b3a26d8344383edb6dbc04bc41689b4724782470587b5ccb76e1837ac5486d5

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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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:aebefaec03cbc6d2cbeb32c028c4f80266de4905b845aaf8a1d58063bc5f0d48

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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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=sha256:5ed4aa47d159a784256d1d40f34b08657f66a5ab584c81e83e162288e630053e

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:ce5581550afa526175f16e85302e347673717ac9176b6acc1e600a3eee92c27f

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=sha256:4e20ba4337ecfd3a2c2054439f6fd32991759d9cb8e398ada3a82ed774a925a0

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=sha256:7890bb18255833a98278f9c26aa31f2bce3c881a8afede5a5dd624ea21e45665

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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verified fuzzy
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.488228Z digest=sha256:ec7dc103e523b55d600d2de07fa0e06094f7bed1def7d589bab2ff1685bfd202

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
verified fuzzy
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.495120Z digest=sha256:99837390b6c7914686453c14e4171fe274198b139676b3402a025624e4ab31d8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.500327Z digest=sha256:dd8567b88c55bbbe611e217e27efcc0376ffeedfb5c1a2c3042e65f75ef0104f

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.505899Z digest=sha256:17fe85eff9267b4ca722ecf58ff952c1054f4c34263f1ddebb41db3bb7667730

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.511708Z digest=sha256:47ac0a86dcdb92712857d67137bc654cefd64f50645f5813a3a7ec24e6b23957

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.517687Z digest=sha256:82c7ecf212d770655a482062bbb29366de159ab5d42365d2d778225b4c8beb9f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.522693Z digest=sha256:12abb14d861cbed408bcc6b493aab1692418fbcf9cf8ee990a8b91a3bec8248c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.528168Z digest=sha256:b89c6e6670f3829d9e322f2d9c1e250e64b100a3c57ab127e47f00c2d066ebc3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.538482Z digest=sha256:baefead7ac7dc59af21a0962945b84bbb40354a2e2edf1d48e1ef991e868d849

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.543534Z digest=sha256:a94d15ec4afab34ff85581002e9f6abe5cbdf75f29d5bde3ea1fcc2c87d1fc41

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.548648Z digest=sha256:ebe0e7c0fa83f03402244206d3d3fe43adbbff73f568dd7bad3e9047d583cb3d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.554068Z digest=sha256:39523f3a46a8ac01e27e2abb5dc71ef2a89777c739cbad6fbf0f19fa7ce55aab

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.559043Z digest=sha256:f5977e884a17e6c0f537e53061a0da1761a2460594154c30cd4fae02d21216ab

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.564056Z digest=sha256:11cbe00d4bfdb2efdeced52f2f7c2b3ac53a10413fd296617fb030e5ee41487f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.568776Z digest=sha256:5fee1e9ac9a8ae001f40a2a85028f2429c93669a255f07f35e047fdb66d0ff81

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.573890Z digest=sha256:636d2352f18947aa5404c8d35c49259daafb514af48829791dbd0af0163ce7e6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.578704Z digest=sha256:98e7dfb3af59c186757b2e83ba962dbcf004e571ba92ef0d29d5bd4a20c2d487

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.583229Z digest=sha256:96cd2d44a481005c3fc6411bd5d3cbb08285480ebe7901e38104dff89a34925a

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:d2fd9251dd6a4f123337a25d23709a7535d1981e60119b5885a83456f62a2a2d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.591964Z digest=sha256:121483b6d460cd472228e66acd385b44f3a5191a3e22189a378073feef69804b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.596153Z digest=sha256:ce88e9ab2c0c0b5e6fd27768daa2217f8718a0592c28338913dd39aba92c1bae

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.600454Z digest=sha256:95a9eb02c3382b33ac99eb1d413d0f839553b517d1370f52b8c1dc479fc88640

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.604680Z digest=sha256:701fe8389818cdb813a5b7cac441fb008a2ec0c77b25744b6b4ca33b6f59cd5c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.609046Z digest=sha256:2ef35697f2cd5cd4d9ba2137a90bc9673f79d3d4452d6378f59dd59d40db239c

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:e39067ca3d2b65bc973bf5d494b674fe5bd2873d0b2307f518d9a64b97f9f7b3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.617645Z digest=sha256:d63feff15eb6fdc9ef9bd65f6aaa481de3a28d23fe4d59c91faa904e54d51139

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.622898Z digest=sha256:0b825700413c59e48cf10ed74106c5064d84518a0f59621aa24bbb56166f96d4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.628168Z digest=sha256:17e34186e18723a9f2b316b0fe2c9a7ef0a33dccd66126db744fadfe94c532aa

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.633029Z digest=sha256:811ede298cb8941a742d0051390ddf2589b122248cae535b8f2daf13711b446d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.638086Z digest=sha256:48aea08b2e829b6b7dee2408912c34f6b15fe49138a8315a20b289c0cf3b2ee6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.642869Z digest=sha256:d365256fced117e120b8189c29717d508d752ec39b526a999229247c17c6eb30

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.647489Z digest=sha256:cfe1edbdbc125a421cfb639818600a9c79036bd2ae60a0a204b1580d1e6dc71d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.651927Z digest=sha256:b6270ed51ed61b5e9c02248b944561c691125b1e435102819ae342daccda3b9d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.656567Z digest=sha256:bb1f4ac97642b3a06c19b2bc73591a6d59371bb34c5576739e4bc814b5ca4004

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.661550Z digest=sha256:6b2f4240492fcae87f3b99e69b5640a2ac9d5a8ab7ce9d154b638bbb369a3aea

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.666339Z digest=sha256:239bc3a012a1e3ec0acd1ad2987912110d131c791e58c4e859b7b1f16349b3fb

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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verified fuzzy
raw_fallback, observed 2026-08-15T17:30:08.913017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.671138Z digest=sha256:cd4d51b4c04df47faf48b0cc5666cedb8324f384ebbde633af09d4faf10c342e

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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unresolved
no resolver link, observed 2026-08-15T17:30:08.675945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.675945Z digest=sha256:f2d7a9f6ea7da2d3543f53144052452fa5a6ffcd6f1557a6eb9e551c6483f8a0

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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verified fuzzy
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.680855Z digest=sha256:13005af97fc559feab89a533e666bce81d8539ce608fd2d41b5555dc4ecec7e7

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:30:08.685587Z digest=sha256:c9f84f935b03c3ba5c1ce6778c0ab4a98c600a4b1a729f756b79c12a4836035d

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.690695Z digest=sha256:3eee72d6387b5a96b912942b76159ac15684fd59eea55188c24fc9c84df7ff1c

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

Resolution
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=sha256:94760a7c5e0b5798c6da9d346c2675dfca67869cab2fb2fbf000f216e8495dd8

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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unresolved
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=sha256:9516e5a04edd0a2c429ab96968bcfd48a10c8776b0e2b5bc061d8571ad62314e

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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unresolved
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=sha256:105e180e236b9e47ef6a276e55b25e359ab04a73ef1438a2fb81c5cef41274c2

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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unresolved
no resolver link, observed 2026-08-15T17:30:08.711727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.711727Z digest=sha256:7d40c3fa5f78dbf48afaa73100272bda795b58c95de0b5df836750fa71914eda

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:08.716446Z digest=sha256:06299061627a590b511e0e45c31bd0b65de20452d93db00f50526b7f55b84e52

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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unresolved
no resolver link, observed 2026-08-15T17:30:08.721069Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:30:08.721069Z digest=sha256:7bb9b3caae6f98699496a583f63c2418cdb4d6095a888f8105d2eb229150e58c

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:30:08.725516Z digest=sha256:699e91092e44ab16a01556b352ac16ffd4b27764d6c92e62832f430d240ed866

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:add5fc10e4b3356fb11da103d4fff1847a4279d7570c581202ea07ae304b4c3f

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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unresolved
no resolver link, observed 2026-08-01T10:50:08.991356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:50:08.991356Z digest=sha256:cbe77826bdeaad07e4b3ea7403583e3df3272ed6d35fcb56b3250d0b519c244e

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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unresolved
no resolver link, observed 2026-08-04T01:34:06.682476Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:34:06.682476Z digest=sha256:98b9826e829de70ac4148225ec76b52b5a3b92b90aab295cbff374c974613598