{"as_of":"2026-08-04T11:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40a1b25484ab82fa2a50d7b7f29a2b58c0ad0b06585dba6745126bcd4d44db2e","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T10:44:50.262014Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T00:11:57.999438Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T14:47:03.892054Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"cited_work":{"arxiv_id":"2601.09179","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2601.09179","snapshot_observed_at":"2026-07-28T02:21:36.948638Z","title":"WiFo-M 2: Plug-and-Play Multi- Modal Sensing via Foundation Model to Empower Wireless Communi- cations","venue":null,"work_id":"59c306ad-0fe1-4a76-ba5b-285adb4845f1","year":2026},"citing_paper":{"arxiv_id":"2604.18021","last_updated":"2026-04-20T09:48:22Z","snapshot_observed_at":"2026-08-02T18:56:26.043293Z","submitted_at":"2026-04-20T09:48:22Z","title":"Paradigm Shift from Statistical Channel Modeling to Digital Twin Prediction: An Environment-Generalizable ChannelLM for 6G AI-enabled Air Interface","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T04:41:14.892503Z"},"links":{"cited_paper":"/paper/2601.09179","citing_paper":"/paper/2604.18021"},"observation_digest":"sha256:2cce61da9ab891282ba4193590bda2b656cd1cbc43c7821f2e6b0cace98bd291","observation_id":"f70d6899-7369-4310-a50d-daffb68b71f0","resolution":{"observed_at":"2026-07-28T02:21:36.948638Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"cited_work":{"arxiv_id":"2601.09179","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2601.09179","snapshot_observed_at":"2026-07-28T02:21:36.948638Z","title":"WiFo-M 2: Plug-and-Play Multi- Modal Sensing via Foundation Model to Empower Wireless Communi- cations","venue":null,"work_id":"59c306ad-0fe1-4a76-ba5b-285adb4845f1","year":2026},"citing_paper":{"arxiv_id":"2604.18255","last_updated":"2026-04-20T13:30:39Z","snapshot_observed_at":"2026-08-01T04:03:32.949218Z","submitted_at":"2026-04-20T13:30:39Z","title":"WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM)","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T04:04:50.254833Z"},"links":{"cited_paper":"/paper/2601.09179","citing_paper":"/paper/2604.18255"},"observation_digest":"sha256:f347d7e57946643dc76a36c9936337e2055bc9370cc204891124a10e74925b1b","observation_id":"ffd98844-8cda-4c41-b73a-9ba0a085c19c","resolution":{"observed_at":"2026-07-28T02:21:36.948638Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"cited_work":{"arxiv_id":"2601.09179","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2601.09179","snapshot_observed_at":"2026-07-28T02:21:36.948638Z","title":"WiFo-M 2: Plug-and-Play Multi- Modal Sensing via Foundation Model to Empower Wireless Communi- cations","venue":null,"work_id":"59c306ad-0fe1-4a76-ba5b-285adb4845f1","year":2026},"citing_paper":{"arxiv_id":"2606.06239","last_updated":"2026-06-04T14:45:06Z","snapshot_observed_at":"2026-07-06T23:46:05.829177Z","submitted_at":"2026-06-04T14:45:06Z","title":"Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-06-28T00:11:57.999438Z"},"links":{"cited_paper":"/paper/2601.09179","citing_paper":"/paper/2606.06239"},"observation_digest":"sha256:98bbf438b10b704fefe9a53aa84e2ec44b897b0a1c8ab073a893d2c6889edd2b","observation_id":"763aa201-b096-4de2-afd1-f49b48ee39a0","resolution":{"observed_at":"2026-07-28T02:21:36.948638Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2601.09179/citation-record","integrity":"/paper/2601.09179/integrity","json":"/paper/2601.09179/citation-record.json","paper":"/paper/2601.09179"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:46.977192Z","title":"Toward Edge General Intelligence With Agentic AI and Agentification: Concepts, Technologies, and Future Directions,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:46.977192Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:a84e3b90218cbb952b152cce564e3562def09f9bfe7da9e0108d1134d03e9c47","observation_id":"49f695d5-b971-4f8b-b928-45de3e154b96","resolution":{"observed_at":"2026-08-03T10:44:46.977192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.068928Z","title":"Embodied AI-Enhanced Vehicular Networks: An Inte- grated Vision Language Models and Reinforcement Learning Method,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.068928Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:fdd78f09364cbce446bc2b549e12f4646e09d97f2ece697910180c16e9f161fd","observation_id":"7133796c-d268-445c-8518-394019a91552","resolution":{"observed_at":"2026-08-03T10:44:47.068928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.151928Z","title":"Embodied Intelligent Wireless (EIW): Synesthesia of Machines Empowered Wireless Communications,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.151928Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:f7a58a01aff86ff4a4f56cf6c03f1679c0ac089623422b4ffd611b8d9f40ba8a","observation_id":"faf44c1a-1a17-4898-ab72-a95dcca8163c","resolution":{"observed_at":"2026-08-03T10:44:47.151928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.217382Z","title":"Intelligent multi-modal sensing-communication inte- gration: Synesthesia of machines,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.217382Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:22936fbdaf812d6ed8949259a8951b767ef8729c63803e9178449f056887c905","observation_id":"d7b9c12e-fd83-492f-aa55-b5f9146c23fa","resolution":{"observed_at":"2026-08-03T10:44:47.217382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.267859Z","title":"Multi-Modal Sensing-Aided Channel Prediction for 6G mmWave Massive Antenna Systems,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.267859Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:7bab63cbcd087518f989377d02dac252a957e616fd41802684f4723e0d5510e4","observation_id":"86ebfc75-a7e5-480a-a0b5-318292aa65d8","resolution":{"observed_at":"2026-08-03T10:44:47.267859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.341183Z","title":"Vision-Assisted Near- Field Channel Estimation for XL-MIMO Systems,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.341183Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:58cf80e4278688def0f2944eeb95536e4871b54531b19626f9557cfb140e4da6","observation_id":"673954bc-642f-4551-be6c-ced47df24987","resolution":{"observed_at":"2026-08-03T10:44:47.341183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.485082Z","title":"Synesthesia of machines (SoM)-enhanced wideband multi-user CSI learning with LiDAR sens- ing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.485082Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:cd280105e306ccfb5ad69dd799e3082367bef9e97971cf7707352303dde0936b","observation_id":"026c7bab-58a7-4b1c-b7a2-83a9c1b042ed","resolution":{"observed_at":"2026-08-03T10:44:47.485082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.595888Z","title":"Integrated sensing and communications toward proactive beamforming in mmWave V2I via multi-modal feature fusion (MMFF),","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.595888Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:4e9fb6f324e3e3d5c68b555f2d502bc259c4007bb4018abc7fcedafc8356a485","observation_id":"74e2a345-17ec-4e0a-98b1-0c206a86b2bf","resolution":{"observed_at":"2026-08-03T10:44:47.595888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.718246Z","title":"Multi-modality sensing in mmWave beamforming for connected vehicles using deep learning,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.718246Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:73095a06adef415891e0c723904d604c1b8a3476f67bebb411500d637ae16da7","observation_id":"5caf607b-96d0-4463-b97b-2b1f4f9cfd26","resolution":{"observed_at":"2026-08-03T10:44:47.718246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.784430Z","title":"Camera based mmWave beam prediction: Towards multi-candidate real-world scenarios,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.784430Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:15a3e2d52fca3a931a194b7f5a9f25150fb2df60858693a720310a3b5a84ddf2","observation_id":"c5d515a1-a636-414b-bbfc-05b85554a035","resolution":{"observed_at":"2026-08-03T10:44:47.784430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.816967Z","title":"Vision Image-Aided Near-Field Beam Training for Internet of Vehicles Communication Systems: From Daytime to Nighttime,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.816967Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:a47914f7333f273f2eafdb3cbc8fb65d50218d878ee4b3f0f48a12aa3cdda82c","observation_id":"b6edaafe-9f88-4ad5-abb3-162f25dce293","resolution":{"observed_at":"2026-08-03T10:44:47.816967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:47.875980Z","title":"Synesthesia of Machines (SoM)-Aided Online FDD Precoding via Heterogeneous Multi-Modal Sensing: A Vertical Federated Learning Approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:47.875980Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:d0baa63a20fc7b06601b7e66eeedc8a686f8086c537477ea557f1134bd10364c","observation_id":"2a4c9b04-abad-4038-8c93-664c8dfc84b4","resolution":{"observed_at":"2026-08-03T10:44:47.875980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.007244Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.007244Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:e383c0337d32eb55f846ea5d791c9db78ea16ba0fbb41c7ca8e5df2c468ffdde","observation_id":"17c82a04-2945-4bba-a9eb-3b7a9ebac71e","resolution":{"observed_at":"2026-08-03T10:44:48.007244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.098280Z","title":"DiffCL: A Diffusion- Based Contrastive Learning Framework With Semantic Alignment for Multimodal Recommendations,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.098280Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:75973d6d7a17edfbc428595fba9494f1104aa14fb7b3271bc706a153ab0a2209","observation_id":"ad2a6719-aa19-482d-99d6-b4381f118ffe","resolution":{"observed_at":"2026-08-03T10:44:48.098280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.213495Z","title":"Contrastive Reg- istration for Unsupervised Medical Image Segmentation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.213495Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:46523df881224c0ee86e703c2f2016411fc5fbf41fbcfb9198f6d187d5c8889e","observation_id":"f498a039-49be-4c77-a242-0aced72fec69","resolution":{"observed_at":"2026-08-03T10:44:48.213495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.322717Z","title":"Multi-modal graph contrastive learning for micro-videorecommendation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.322717Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:2b945be885ecf4d8d6c28cc84c4d74b97afd27bb83d9aefecf2d7b086b3cea42","observation_id":"01e9e9d9-a0c9-4267-ac94-f6703ce6f988","resolution":{"observed_at":"2026-08-03T10:44:48.322717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11965","last_updated":"2025-03-01T13:07:25Z","snapshot_observed_at":"2026-07-06T20:37:55.721236Z","submitted_at":"2025-02-17T16:13:40Z","title":"A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11965","snapshot_observed_at":"2026-08-03T10:44:48.344648Z","title":"A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.344648Z"},"links":{"cited_paper":"/paper/2502.11965","citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:7fe22932241968b7aea0bf458e8b7176fd24c00c844825fcbe80e9900727db48","observation_id":"5af51586-8858-4ac8-a199-15503403c84a","resolution":{"observed_at":"2026-08-03T10:44:48.344648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10134","last_updated":"2025-05-15T10:04:44Z","snapshot_observed_at":"2026-08-04T09:54:21.028196Z","submitted_at":"2025-05-15T10:04:44Z","title":"Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10134","snapshot_observed_at":"2026-08-03T10:44:48.449698Z","title":"Large Wire- less Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.449698Z"},"links":{"cited_paper":"/paper/2505.10134","citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:8b950cc7909e7479ee7f76f478cc35aed2343ada240671992dad5fb75e63cbad","observation_id":"9a2d3225-13d6-47da-b7f8-a7a88aa61fbe","resolution":{"observed_at":"2026-08-03T10:44:48.449698Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00456","last_updated":"2025-08-15T05:50:06Z","snapshot_observed_at":"2026-07-06T22:06:15.521940Z","submitted_at":"2025-08-01T09:27:47Z","title":"When Vision-Language Model (VLM) Meets Beam Prediction: A Multimodal Contrastive Learning Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00456","snapshot_observed_at":"2026-08-03T10:44:48.518445Z","title":"When Vision-Language Model (VLM) Meets Beam Prediction: A Multimodal Contrastive Learning Framework","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.518445Z"},"links":{"cited_paper":"/paper/2508.00456","citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:bf4742bd389fc6d353dccf2c188125e41e3a7c4c0a021d1ceadb3f4d0bb6d3e6","observation_id":"a612cdff-fd0e-403b-9c87-108f90996f64","resolution":{"observed_at":"2026-08-03T10:44:48.518445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.573724Z","title":"Wireless Multimodal Foundation Model (WMFM): Integrat- ing Vision and Communication Modalities for 6G ISAC Systems","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.573724Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:682945dca57f0b8ae9cbc82dce69d8f2de8d6e52f8c6f97056397af0d073c261","observation_id":"ec3d51f2-58f8-44e7-b75b-fba3dc0e0723","resolution":{"observed_at":"2026-08-03T10:44:48.573724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.704609Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.704609Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:a88554be528fbcc83a50c02282e460ab2953aae743bd494a871c607e094047c2","observation_id":"b59d0e08-f3f2-49bd-bed1-641b63501d2a","resolution":{"observed_at":"2026-08-03T10:44:48.704609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.862459Z","title":"PointNet: Deep learning on point sets for 3D classification and segmentation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.862459Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:4690f012d5124911003f777fd3d8d37dbbd883e26a5f51483bdf824e51c0f712","observation_id":"f6e53c24-ed25-4d9c-a702-6e782850966c","resolution":{"observed_at":"2026-08-03T10:44:48.862459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:48.938510Z","title":"WiFo: Wireless Foundation Model for Channel Prediction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:48.938510Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:1d6ffe4ad9dcaf18c6a09831f29bcf5240a63095f1c5abc1cab13eb6f87d7bd9","observation_id":"92801751-f82a-4980-b88f-682feb94e9cc","resolution":{"observed_at":"2026-08-03T10:44:48.938510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.031622Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.031622Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:60569754175124810b237d25cb7332f7c2bfc865dca9139ba5bb1a6475fd706b","observation_id":"80742ab1-b78f-4bc2-8eec-62c4e56e2a7e","resolution":{"observed_at":"2026-08-03T10:44:49.031622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.116910Z","title":"Momentum contrast for unsupervised visual representation learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.116910Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:915b2614f47686a88eccd379eb81cea1926490dc8df5d7b14cef52bda33f13bf","observation_id":"da1e7159-f9ac-4a8d-a627-df53c4978b8c","resolution":{"observed_at":"2026-08-03T10:44:49.116910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.183404Z","title":"M 3SC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.183404Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:12e6572b0b021745fed5b82df44a45036bc5e2378bb67a2af9aab10d62da2c5c","observation_id":"f5dd86af-2406-4408-a85d-a0b7a6723742","resolution":{"observed_at":"2026-08-03T10:44:49.183404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.253688Z","title":"SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.253688Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:9fb93cb4403fa33ec20e296f34c8a61a380965007d98378e76ebf30146172fca","observation_id":"97900f23-3b2d-4076-88d5-bf25a81641ad","resolution":{"observed_at":"2026-08-03T10:44:49.253688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.374901Z","title":"Multimodal deep learning empowered millimeter-wave beam prediction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.374901Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:32bd456e6f57d5db6ed5599e0aeb66fd5bec87a9e263bf1b4e25882cf601c7df","observation_id":"83a1dd0b-fdd3-40dc-adba-4c7f7c5a7b05","resolution":{"observed_at":"2026-08-03T10:44:49.374901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.493247Z","title":"SynthSoM- Twin: A Multi-Modal Sensing-Communication Digital-Twin Dataset for Sim2Real Transfer via Synesthesia of Machines","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.493247Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:5c6acb896ad519b83e3a955bcd0e2ae2d0d0f61832877c514b8673a13a9ec82a","observation_id":"4807192c-07f2-49e8-bd8e-0e56e294548f","resolution":{"observed_at":"2026-08-03T10:44:49.493247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.591106Z","title":"ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communica- tions,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.591106Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:053fc371fe56e4a7e45e5c208fd939f73ecac4bdb3f13de6c3821a6880f11153","observation_id":"58fd50e1-c9f8-4a0c-89e9-433b4eb089b5","resolution":{"observed_at":"2026-08-03T10:44:49.591106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.655184Z","title":"DeepSense 6G: A large-scale real-world multi- modal sensing and communication dataset,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.655184Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:e80cc75692c5dc8140b19f7d033c433de40da2402e16571207a41a12a88baadf","observation_id":"741ed448-c7df-4431-9b02-ff1a916c9819","resolution":{"observed_at":"2026-08-03T10:44:49.655184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.761084Z","title":"Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.761084Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:324bf2d6302b83c6a275bc7c6ce45b485cbdf561454981dd1f2ef1d5f8fb9ec2","observation_id":"a4f66434-01bb-40e7-a18f-e2670c170612","resolution":{"observed_at":"2026-08-03T10:44:49.761084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.864818Z","title":"Deep learning-based beamspace channel estimation in mmWave massive MIMO systems,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.864818Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:4d57724cef9cfc71bc6132def4afe0466f8c2568f0d693f61b7178a0b0b18961","observation_id":"370b3953-1f1b-4cc4-af08-992a359aea1b","resolution":{"observed_at":"2026-08-03T10:44:49.864818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:49.969897Z","title":"Deep Learning Super- Resolution-Based Channel Completion for Massive MISO Systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:49.969897Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:24c05337b9755b940bd2ce30fc5023ebdb0e76ed8c46fa89b10097931e9a9a4e","observation_id":"f8a6c103-f652-43c1-b3d6-cda7960b9719","resolution":{"observed_at":"2026-08-03T10:44:49.969897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:50.068017Z","title":"Channel estimation in IRS-enhanced mmWave system with super-resolution network,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:50.068017Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:f31b7ae171661bc3f01bb83acbfb1116dbf79b2b22a8fbc9d88b0f0b17bf88a6","observation_id":"246739e8-3dea-444a-bb51-d00d7f1409d8","resolution":{"observed_at":"2026-08-03T10:44:50.068017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:50.142177Z","title":"Nerf2: Neural radio-frequency radiance fields,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:50.142177Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:265f7657bfdf970540b2a5214be0b94bcc1a1f8b791029e75874f43f966ede6c","observation_id":"5f91ed0e-04ec-4881-8c78-28b5d962366c","resolution":{"observed_at":"2026-08-03T10:44:50.142177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:50.194734Z","title":"Fire: enabling reciprocity for fdd mimo systems,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:50.194734Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:6bc80a288f11be30999884919a1ff4d2752a71a2d1a944bab2cdc2182c273d2e","observation_id":"320f118e-028d-45ef-95a8-184711632d9d","resolution":{"observed_at":"2026-08-03T10:44:50.194734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:44:50.262014Z","title":"Accurate Channel Prediction Based on Transformer: Making Mobility Negligible,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T10:44:50.262014Z"},"links":{"citing_paper":"/paper/2601.09179"},"observation_digest":"sha256:fc242d4eef3c362e48ae7a51799296cc6a33d72b5267500e3614d962ea2a0cb5","observation_id":"d15f391e-8532-48e2-a037-5a882d02c954","resolution":{"observed_at":"2026-08-03T10:44:50.262014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.09179","last_updated":"2026-07-25T08:01:29Z","latest_version":3,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-03T18:49:33.700543Z","submitted_at":"2026-01-14T05:26:25Z","title":"WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":38},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 3 inbound Pith citation observations for arXiv:2601.09179."}