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Paper Citation Record · LEDGER

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM)

As of 4 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2604.18255.

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

pith.paper-citation-record.v1
2604.18255 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T04:04:50.254833Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:56:30.837763Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T04:27:36.516208Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact8
  • verified fuzzy30
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e598ef3a-de79-419d-ad2d-a42ab2d11b0c · outbound

This paper cites Integrated Sensing and Com- munications (ISAC) for Vehicular Communication Networks (VCN).

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Integrated Sensing and Com- munications (ISAC) for Vehicular Communication Networks (VCN)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.452132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:6113d14c30033b4bc3ccb712a34f0ba38aa5d9f18b58b52d3edb6bab05a60950

Observation ccfc21f3-6083-4dd6-b630-e03a0fa9ac07 · outbound

This paper cites Integrated Sensing and Communications: Toward Dual- Functional Wireless Networks for 6G and Beyond.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Integrated Sensing and Communications: Toward Dual- Functional Wireless Networks for 6G and Beyond

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.401339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:b191fc98890aed995bcb6acec57e1ef663847018c5efddd98156e0ac7877f87e

Observation 54d2cddd-d90e-4374-bb51-de4644cc4749 · outbound

This paper cites Integrated Sensing and Communication for Low Altitude Economy: Opportunities and Challenges.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Integrated Sensing and Communication for Low Altitude Economy: Opportunities and Challenges

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.410046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:3b55d3bcbea3b78f56a0c55b97b84aa7db799e50f493fe47090eab402d202855

Observation 41c390cc-215a-40a8-92a7-cde4e5ff6d7a · outbound

This paper cites Intelligent Multi-Modal Sensing-Communication In- tegration: Synesthesia of Machines.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Intelligent Multi-Modal Sensing-Communication In- tegration: Synesthesia of Machines

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.462563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:74ba913ba9c3a60a32b01e913a6d6c6381a11ab16e3acdd464c0686b47610200

Observation a46d68b8-5bdd-47ce-a622-736ef26aab39 · outbound

This paper cites Integrated sensing and communications toward proactive beamforming in mmWave V2I via multi-modal feature fusion (MMFF).

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Integrated sensing and communications toward proactive beamforming in mmWave V2I via multi-modal feature fusion (MMFF)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.446234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:3440f6ee70e81f5512fe32db3e9fc5c1b43e6d2030b877039e8929737a51b342

Observation 9b530007-e02a-432e-91d3-1aa091ed5b3c · outbound

This paper cites Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Predic- tion.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Predic- tion

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.467601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:3c2eb307aa76910198ff1fe4274b758600384180e4fc0617c6870c6dabfff517

Observation 1afe4abd-51a9-470f-891c-7be68aa16cc9 · outbound

This paper cites Sensing Aided Channel Estimation in Wideband Millimeter- Wave MIMO Systems.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Sensing Aided Channel Estimation in Wideband Millimeter- Wave MIMO Systems

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.457784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:e89b142540b06d8a961d9358db883d6c4d831eaf4d91ac2ddb7cd8e37b1fba65

Observation 1ec52fb8-344e-4c7a-aebb-4e9b4f47e0cb · outbound

This paper cites Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.380375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:acad847afd984334d9f3dd3113da0024b30f5accb4c03f7a3e126e0bdf80ffa7

Observation 56d046f8-327f-40ea-a440-15edf760f78a · outbound

This paper cites LIDAR Data for Deep Learning-Based mmWave Beam-Selection.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) LIDAR Data for Deep Learning-Based mmWave Beam-Selection

Reference 9

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raw_fallback, observed 2026-05-22T12:36:33.439260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:31f7e1b41e703299b0ac7592b4792373e80dbe5ee063fc100d91b2751b8f726a

Observation d6f36092-06b3-40e9-9796-f96ce5a93b01 · outbound

This paper cites Millimeter Wave Base Stations with Cameras: Vision-Aided Beam and Blockage Prediction.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Millimeter Wave Base Stations with Cameras: Vision-Aided Beam and Blockage Prediction

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.521638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:8dc4f8e89226e4e6f73a26be9f4d960c64182bf8deb929a30afe54cbb6b62953

Observation dfa5c3e6-0431-47e9-ab88-003f59f8ec3c · outbound

This paper cites Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.424720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:d4c38b0827ddab0d688840ae20d91f67fcb3a7cd3e0957c2d5546c39aaba548d

Observation 6fa4b37e-01eb-4554-b1e3-7950f7f306d0 · outbound

This paper cites SAM-Med3D: A Vision Foundation Model for General- Purpose Segmentation on V olumetric Medical Images.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) SAM-Med3D: A Vision Foundation Model for General- Purpose Segmentation on V olumetric Medical Images

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.396796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:336b6cfe969618b135c6833b712b16fbd8d9e6ed0a876d90ade311a3e5e54eba

Observation 9321b12e-63f9-4539-8aa6-fe873f26a00d · outbound

This paper cites DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.405947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:c58c091209969a816ca5ee7f241e40b49609af06bc9c0c757e1ef5b8c1f5aef5

Observation 870b9895-4d60-4a8c-a4df-1c370f1614dd · outbound

This paper cites Foundation Model Em- powered Synesthesia of Machines (SoM): AI-Native Intelligent Multi- Modal Sensing-Communication Integration.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Foundation Model Em- powered Synesthesia of Machines (SoM): AI-Native Intelligent Multi- Modal Sensing-Communication Integration

Reference 14

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raw_fallback, observed 2026-05-22T12:36:33.375171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:c24f5db45db68bc492979524c7fcffc107d266d248b201ff366ddf48753160bf

Observation 0fbb3f9d-5533-47f2-8157-b190838a4a24 · outbound

This paper cites arXiv preprint arXiv:2601.10963 , year=.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) arXiv preprint arXiv:2601.10963 , year=

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:11:06.930363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:7e6bb820e9cf3c84c57bf5fa2349f28c9d8c8c0105bb18e9af1d6f1ae3415b08

Observation c81e3a07-7854-460d-8e5b-ab2d9439f63f · outbound

This paper cites Large Wireless Model (LWM): A Foundation Model for Wireless Channels.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:11:06.883874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:5f4fe31088b76971be88ddbf1783d228706e14da0a54a91129de29f27da1e30b

Observation 9c08464c-6223-492e-b8e6-2283859d8724 · outbound

This paper cites WiFo: Wireless Foundation Model for Channel Prediction.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) WiFo: Wireless Foundation Model for Channel Prediction

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.371103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:40e072bac64f9e7be20b97d55ce4ab0b6a2595d378d458ae2a54d0e7209aad7c

Observation 5835ad54-1245-42fb-af6e-8535b2963cad · outbound

This paper cites WiFo-CF: Wireless Foundation Model for CSI Feedback.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) WiFo-CF: Wireless Foundation Model for CSI Feedback

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:11:06.898192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:7d4f53ccf960a77161313b6e13f05e45cdf8b381e160a11190baca5c0c27cae4

Observation bfe0d038-f459-46e8-b26a-b19e6bbe3bdc · outbound

This paper cites WiFo-2: a generalist foundation model unifies heterogeneous wireless system design.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) WiFo-2: a generalist foundation model unifies heterogeneous wireless system design

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-11T12:11:06.911640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:549bb5629d3fccc53bd7bbedf5af0d41111d3eae2a6219be17e55f4166c72241

Observation 92028984-5b01-4edc-9036-1429a8a12c1b · outbound

This paper cites IQFM–A Wireless Foundation Model for I/Q Streams in AI-Native 6G.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) IQFM–A Wireless Foundation Model for I/Q Streams in AI-Native 6G

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.392721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:55c50051324df7078705a4f37530fdce05d222af24cfa1a3f7349d1e64b796ec

Observation ffd98844-8cda-4c41-b73a-9ba0a085c19c · outbound

This paper cites WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-28T02:21:36.948638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:f347d7e57946643dc76a36c9936337e2055bc9370cc204891124a10e74925b1b

Observation 6266f1d6-7d56-4e11-bdb2-5eb5a66c0068 · outbound

This paper cites Wireless Multimodal Foundation Model (WMFM): Integrating Vision and Communication Modalities for 6G ISAC Systems.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Wireless Multimodal Foundation Model (WMFM): Integrating Vision and Communication Modalities for 6G ISAC Systems

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:11:06.863567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:347accd2216b1db9e5fb0d12ec4ad010c5a3fa934c14710198c71b6ec4a12375

Observation bc54cb77-c624-4a4b-bb8b-75312945ca1f · outbound

This paper cites FRCL-MNER: A Finer Grained Rank-Based Contrastive Learning Framework for Multimodal NER.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) FRCL-MNER: A Finer Grained Rank-Based Contrastive Learning Framework for Multimodal NER

Reference 23

Resolution
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raw_fallback, observed 2026-05-22T12:36:33.473631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:a713544d6b80853fb18f21372ce044ee165dfc6dd5bbd7b5e36c23ea45126c6a

Observation ad07f6ac-d5c7-44e0-9553-68a402ab713b · outbound

This paper cites A Multi-Modal Foundational Model for Wireless Communication and Sensing.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) A Multi-Modal Foundational Model for Wireless Communication and Sensing

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:11:06.858323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:7d61df43db9d0a3bc09057712b22fdbadb5ba688f06e175ee18830b77a19c76a

Observation 009cc7d7-b066-4d27-be39-eb5122dd8b47 · outbound

This paper cites Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.420481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:dcf684b33a22b438cffcf1bd54cb8c43a99a083e6ee49377ffd12e51feeed52c

Observation ecd4494b-d5b3-4506-aa70-1e54730ca561 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.518043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:27ec10dd1cce62cb76be5b95c2a4432c20a0efe5f3088d8655e9257315f09c6d

Observation 5d034f32-435a-415a-a959-0ff144f85ea6 · outbound

This paper cites Root mean square layer normalization.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Root mean square layer normalization

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.415209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:a8b6306769b54e8f1617862bdf7a91e4de58746ff4e1002470a80e4f0e32ae14

Observation d00cb94f-dd9b-4154-b690-0604d66f40b5 · outbound

This paper cites Qwen3-VL Technical Report.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Qwen3-VL Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-11T12:11:06.891380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:d1319d941b3adf296a7e9af34f0f6bc89811126845dac29016385dc68c622369

Observation 9eae2438-6506-4140-84ff-dc09eaa027ab · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 29

Resolution
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local_arxiv, observed 2026-05-11T12:11:06.938097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:7e06dace00058a6800272533098fb1d79f18960fa50e1045754152a16920923b

Observation 84684256-3139-4233-8300-6c26cc80b3c2 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.388542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:02f88706a7f12409476e4a2fc1739976e49d65631fbd9880ad359a2dd35b5fd4

Observation 86b09053-9e84-41a8-b766-8e8ffcf265a2 · outbound

This paper cites M 3SC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) M 3SC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.383899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:8cafc7b9c0fe46ec25aee7c50123b2bb55a9cc81622bacf35131df875f343e91

Observation d30df4ce-a154-47b0-908c-180e1ff6ed3d · outbound

This paper cites SynthSoM: A Synthetic Intelligent Multi-Modal Sensing-Communication Dataset for Synesthesia of Machines (SoM).

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) SynthSoM: A Synthetic Intelligent Multi-Modal Sensing-Communication Dataset for Synesthesia of Machines (SoM)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.498487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:a86c44345d9d6496fe9105d41fd3723e8a119863ed52808889aae0c644f6b0e0

Observation 29449db3-7421-4e1f-b17a-1309fc48e4be · outbound

This paper cites DeepSense 6G: A Large-Scale Real-World Multi- Modal Sensing and Communication Dataset.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) DeepSense 6G: A Large-Scale Real-World Multi- Modal Sensing and Communication Dataset

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.434000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:55283cca6ec5802793c736ecbc8a2c51f07dfc3179716b0efba8bb0165565f64

Observation add67e57-33cf-4a00-a862-dbf54f18e301 · outbound

This paper cites LLM4CP: Adapting Large Language Models for Channel Prediction.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) LLM4CP: Adapting Large Language Models for Channel Prediction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.489506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:8454d6fc72c1d9718020214a7a6c2ba74b331bf5861378e83c96b06ee6c15edc

Observation 45a428da-0d70-42cc-9fb4-369544d5528c · outbound

This paper cites LLM4WM: Adapting LLM for Wireless Multi-Tasking.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) LLM4WM: Adapting LLM for Wireless Multi-Tasking

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.480434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:30dda7432a3814383cbaa2ff199e505ecaa04044fe2975706c801d583c4bfb34

Observation fa4a53c2-cb3f-478b-b5f5-286e6e321289 · outbound

This paper cites Accurate Channel Prediction Based on Transformer: Making Mobility Negligible.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Accurate Channel Prediction Based on Transformer: Making Mobility Negligible

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.428715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:881b15e09189bcbebd46a0907a6296451112b5b0df424aa7b1a2bd4a2b0db7f9

Observation 18165f23-d3a7-4d9c-83af-bf2a42ee4a7c · outbound

This paper cites Channelformer: Attention Based Neural Solution for Wireless Channel Estimation and Effective Online Train- ing.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Channelformer: Attention Based Neural Solution for Wireless Channel Estimation and Effective Online Train- ing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.502238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:a23c41dddcd70b4bb23146d98f170a8befceca68d7dbcd9e8028960d0d586701

Observation 3b501c07-43ee-422d-8f93-d0e95c28b31e · outbound

This paper cites Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.508110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:4d55b30b9005ca1e63946e0cfaf8d0357cd1f62192c1a8f7f0c40d641b50ae63

Observation 417b2047-343b-4852-a615-4ed83e5fa154 · outbound

This paper cites Attention Aided CSI Wireless Lo- calization.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Attention Aided CSI Wireless Lo- calization

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T12:36:33.513608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:a3eaefde9b8102d4b4537fdbd5e57d8dd9ebb3881d1e356d61866a2d8a8e3291

Observation 8ae37c4a-681a-4553-8965-9069ae7138c6 · outbound

This paper cites Multi-Modal Variable-Rate CSI Reconstruction for FDD Massive MIMO Systems.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Multi-Modal Variable-Rate CSI Reconstruction for FDD Massive MIMO Systems

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:11:06.920032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:4465f4749520afdadfc38720dd7085db802fd155694579806784e6b17b81ee3e

Pith citing papers

Observation 56609085-0641-46f6-8109-2410e205ea07 · inbound

A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models cites this paper.

A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM)

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:27:36.517451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T13:56:30.837763Z digest=sha256:720d9049618d88cb1b8e1bb08f22b97f7019d771aa252192cd2a57c8a9895a88