{"as_of":"2026-08-09T14:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0029b58076f80f8bc0712356239865b08d6ab5147ebc19060b9b2d66c72eaef8","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T00:36:15.218116Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.14975/citation-record","integrity":"/paper/2607.14975/integrity","json":"/paper/2607.14975/citation-record.json","paper":"/paper/2607.14975"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T00:36:15.077005Z","title":"Study on artificial intelligence (AI)/machine learning (ML) for NR air interface,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.077005Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:1f8e86c9aadf5cdf031ea9a3f846aaf10766d0c65034e5e84319edd2d0f1d9f9","observation_id":"82b79971-85d8-4dcb-b1d5-5a5c447335f1","resolution":{"observed_at":"2026-08-02T00:36:15.077005Z","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":"2026-08-02T00:36:15.082221Z","title":"Ai/ml for mobile networks: Current status in rel. 19 and challenges ahead,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.082221Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:c62031185339390a8cdc462f2f814cb05bb468aa42588ef08b0757d16f8fdbdc","observation_id":"c0255d42-32bb-43f0-ada9-9667f8e7ada7","resolution":{"observed_at":"2026-08-02T00:36:15.082221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-02T00:36:15.087292Z","title":"On the opportunities and risks of foundation models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.087292Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:e9adb95637fca69bfff968e623a262aec3a7f234d7c5542219497061d3812651","observation_id":"05fc627c-72e4-491c-8a3a-46c1751167d4","resolution":{"observed_at":"2026-08-02T00:36:15.087292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13637","last_updated":"2026-06-24T08:13:26Z","snapshot_observed_at":"2026-08-07T22:35:50.548609Z","submitted_at":"2025-07-18T03:50:29Z","title":"Towards channel foundation models (CFMs): Motivations, methodologies and opportunities","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.13637","snapshot_observed_at":"2026-08-02T00:36:15.092299Z","title":"Towards channel foundation models (CFMs): Motivations, methodologies and opportunities,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.092299Z"},"links":{"cited_paper":"/paper/2507.13637","citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:80b19b47d99de2c37d15096186276ef8fbce5c3a8545c6e148fdfa81ee5911dc","observation_id":"27c77459-4a13-49fe-82b8-65471fd89068","resolution":{"observed_at":"2026-08-02T00:36:15.092299Z","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":"2026-08-02T00:36:15.097699Z","title":"Lwm: A pre-trained wire- less foundation model for universal feature extraction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.097699Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:7d8ceac2871d9e636a7816d010070bd58e2e9a60d8cdbc8b5760cac5df973967","observation_id":"fc68350e-f06a-4b11-b036-1c884e323272","resolution":{"observed_at":"2026-08-02T00:36:15.097699Z","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":"2026-08-02T00:36:15.102584Z","title":"WiFo: Wireless foundation model for channel prediction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.102584Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:bbff2f1acc64c7edd6114b4c92338f1619ee3f46cad558e8bc01ef850f461ca3","observation_id":"8e27ff45-af47-4fcb-a7c9-d2a342b8e5d8","resolution":{"observed_at":"2026-08-02T00:36:15.102584Z","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":"2026-08-02T00:36:15.107585Z","title":"Csi-mae: A masked autoencoder- based channel foundation model,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.107585Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:e35b6050bece13acbfbc777b1828ffc55225101c05e43e5dd83f3f06be445c83","observation_id":"e6dabb59-867f-479e-988d-84eedd5716a4","resolution":{"observed_at":"2026-08-02T00:36:15.107585Z","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":"2026-08-02T00:36:15.111818Z","title":"DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.111818Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:f7dd16cda5101da1743151d8375f65ea79e9b3c815fecc04264fe56e51e2ac12","observation_id":"2a23e64b-4248-4d02-ad4d-136f751b3c44","resolution":{"observed_at":"2026-08-02T00:36:15.111818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11854","last_updated":"2023-03-20T13:51:38Z","snapshot_observed_at":"2026-08-08T03:14:20.710374Z","submitted_at":"2022-03-22T16:31:44Z","title":"Sionna: An Open-Source Library for Next-Generation Physical Layer Research","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11854","snapshot_observed_at":"2026-08-02T00:36:15.116088Z","title":"Sionna: An open-source library for next-generation physical layer research,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.116088Z"},"links":{"cited_paper":"/paper/2203.11854","citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:283c73da6760f90b2afc0684cf6c44cc0583a6be9d6deed39027afaeaefc761b","observation_id":"8ccf10c5-28d7-41ed-b555-5921bf8360d7","resolution":{"observed_at":"2026-08-02T00:36:15.116088Z","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":"2026-08-02T00:36:15.120780Z","title":"Sionna RT: Differentiable ray tracing for radio propagation modeling,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.120780Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:ac5dc8fe7ddbdd65890aec85cfd5bd3fa91e99f3ced21a8b3a59a570633c0c34","observation_id":"f7c7cbdf-9cf8-4a34-994e-02a315f43158","resolution":{"observed_at":"2026-08-02T00:36:15.120780Z","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":"2026-08-02T00:36:15.125074Z","title":"Multi-cell outdoor channel state information dataset (MOCSID),","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.125074Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:ac935fea1ba8eba34988148cebed9d20b3796105c4814df24b87e79cc97b1a49","observation_id":"4dcb4d90-cbc6-4670-8195-40726cc87a2d","resolution":{"observed_at":"2026-08-02T00:36:15.125074Z","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":"2026-08-02T00:36:15.129233Z","title":"Multi-cell outdoors channel state information dataset (MOCSID),","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.129233Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:3fe153241dd3924aaa121fa54bd044bbbd425f0ef8b956ac85ea85c291ffc7d2","observation_id":"b2923a1b-c587-47fb-b12c-322685eb95de","resolution":{"observed_at":"2026-08-02T00:36:15.129233Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-02T00:36:15.134020Z","title":"A distributed massive MIMO channel sounder for “big CSI data","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.134020Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:c1607ca093ac57e9f1f7527805b24e1336cf5dc3fc14b72ddf5918a49ca397fc","observation_id":"188e4663-32cd-415f-9fc9-7f7ee471862c","resolution":{"observed_at":"2026-08-02T00:36:15.134020Z","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":"2026-08-02T00:36:15.138201Z","title":"CSI dataset dichasus-adxx: ARENA2036: Distributed setup in industrial environment at 3.4 GHz,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.138201Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:b1c6aa8a8528496b54861b7c5b1e5b849e1ecc6cd5304746b9a94cd5673c7ac5","observation_id":"d59eaffd-9671-424b-904f-4ffc3b8037be","resolution":{"observed_at":"2026-08-02T00:36:15.138201Z","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":"2026-08-02T00:36:15.142412Z","title":"CSI measurements and initial results for massive MIMO to UA V communication,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.142412Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:85c98d0a22b02e8d8267a9d77a325557ef1e0e9553076caa4a2540af8f229541","observation_id":"171d6a64-159a-44cd-a4ca-6b9abbf5afbc","resolution":{"observed_at":"2026-08-02T00:36:15.142412Z","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":"10.48804/0imqdf","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MaMIMO-UA V 3d channel state information dataset,","venue":"KU Leuven RDR","work_id":"84574f66-90e6-4af5-8ad9-c3a2ee708517","year":2023},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.146783Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:fbd6b3abf577b06d836a5555e2f599cb0e08cc9dd9fed8a41736fc337af16617","observation_id":"b2656d87-d74e-4847-a31f-977a9b2d06a2","resolution":{"observed_at":"2026-08-02T00:38:51.515351Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T00:36:15.150794Z","title":"Multimodal- wireless: A large-scale dataset for sensing and communication,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.150794Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:c91ac87f001d8fbf4e46ccaaaf05f23c942b4b2c64aa9cc4a686e0893587d8f4","observation_id":"6047096e-9ec9-4c42-b885-231ca3a2aa93","resolution":{"observed_at":"2026-08-02T00:36:15.150794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.25714","last_updated":"2026-06-24T11:27:22Z","snapshot_observed_at":"2026-07-07T00:00:07.201776Z","submitted_at":"2026-06-24T11:27:22Z","title":"CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.25714","snapshot_observed_at":"2026-08-02T00:36:15.154688Z","title":"CSI-CLIP++: A scalable channel foundation model for wireless communication via CIR–CSI consistency,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.154688Z"},"links":{"cited_paper":"/paper/2606.25714","citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:528413941ef1594b3fc8209785364c02a6b4ae223562e1d3cd9dec1d231b06cd","observation_id":"5bb6317d-e02a-4c21-a499-db8c7a251c63","resolution":{"observed_at":"2026-08-02T00:36:15.154688Z","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":"2026-08-02T00:36:15.159239Z","title":"Filter-and-attend: Wireless channel foundation model with noise-plus- interference suppression structure,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.159239Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:ef93851ed8aec9b355ee1a55bbb6477eddbc9c533a83e1b28a3257396494f987","observation_id":"b0063662-bc3c-408e-87c4-544598572bd3","resolution":{"observed_at":"2026-08-02T00:36:15.159239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.05938","last_updated":"2025-07-09T12:45:07Z","snapshot_observed_at":"2026-08-09T03:51:29.812943Z","submitted_at":"2025-07-08T12:37:55Z","title":"A Wireless Foundation Model for Multi-Task Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.05938","snapshot_observed_at":"2026-08-02T00:36:15.163549Z","title":"A wireless foundation model for multi-task prediction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.163549Z"},"links":{"cited_paper":"/paper/2507.05938","citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:b0fd03c84ff73a2f4d4ec5ffb73bf1f5248e6b23027b2ec97f632ce880b7c0ca","observation_id":"20342710-45d1-4cf9-9451-02ad7cf03c11","resolution":{"observed_at":"2026-08-02T00:36:15.163549Z","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":"2026-08-02T00:36:15.167956Z","title":"WiFo-E: A scalable wireless foundation model for end-to-end FDD precoding in communication networks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.167956Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:193cb572e6390fce7be15ded5392a3adc7a724c9bf618efbd62320359375c66c","observation_id":"22274e50-db0e-4581-81e9-d7042293c029","resolution":{"observed_at":"2026-08-02T00:36:15.167956Z","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":"2026-08-02T00:36:15.172340Z","title":"Study on channel model for frequencies from 0.5 to 100 GHz,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.172340Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:3f96fc5717ce4d0247ee4b1e5e43d407534cf7bcb88fc703209b6a4420f86d42","observation_id":"cfa9d455-ed4e-441b-a483-a963c32de0e4","resolution":{"observed_at":"2026-08-02T00:36:15.172340Z","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":"2026-08-02T00:36:15.176609Z","title":"Overview of deep learning- based CSI feedback in massive MIMO systems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.176609Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:add534f43276ba92165c4bf33d827f4e382eda2cad2312c7612b14799ea0622c","observation_id":"5585ef4c-f6d3-4540-a369-ff5a4855f053","resolution":{"observed_at":"2026-08-02T00:36:15.176609Z","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":"2026-08-02T00:36:15.180632Z","title":"Overview of deep learning-based CSI feedback in massive MIMO systems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.180632Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:a4b0e285ca3b132d1fcda5e42d0fb9c5b9f178c2cd9b5398bde10a0c803215c6","observation_id":"6f4c9d1f-cd9a-4859-af5a-e6edaa47c8db","resolution":{"observed_at":"2026-08-02T00:36:15.180632Z","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":"2026-08-02T00:36:15.184514Z","title":"Study on artificial intelligence (AI)/machine learning (ML) for NR air interface (Release 18),","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.184514Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:13f3fa810704568dea85e03751370d4214a07991f0c95cc4f664b94f98d8688a","observation_id":"7abb2597-4f97-4273-bae4-3939f303ca20","resolution":{"observed_at":"2026-08-02T00:36:15.184514Z","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":"2026-08-02T00:36:15.188692Z","title":"AI for CSI feedback enhancement in 5G-Advanced,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.188692Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:797d71610c0c48c9d2c6882bc25a7926ff3b8f156cc151c74c520a9f865a438c","observation_id":"65cbcab6-46a2-40a9-94c5-e6e423bf78ec","resolution":{"observed_at":"2026-08-02T00:36:15.188692Z","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":"2026-08-02T00:36:15.192670Z","title":"AI-driven channel state information (CSI) extrapolation for 6G: Current situations, challenges and future research,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.192670Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:bd0361fc4d52dee3cffd51fc8a03273b0d331614ca066e2cba8438cbc92e7828","observation_id":"6475ba87-86c8-4822-803c-05790b6eb9de","resolution":{"observed_at":"2026-08-02T00:36:15.192670Z","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":"2026-08-02T00:36:15.196836Z","title":"SSNet: Flexible and robust channel extrapolation for fluid antenna sys- tems enabled by an self-supervised learning framework,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.196836Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:4b58e2e61936fe8b15ac90a10de334b0a48bf2048ccd2c70285994b926bb6aeb","observation_id":"cd6049ec-ba36-4dcc-9aad-2c62c0413ef9","resolution":{"observed_at":"2026-08-02T00:36:15.196836Z","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":"2026-08-02T00:36:15.200982Z","title":"Enabling 6g through multi-domain channel extrapolation: Opportunities and challenges of generative artificial intelligence,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.200982Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:0f7adfd82e0ba186d9a91d3ce01327beed697483377440caa12b6b4995ae75de","observation_id":"bab96d84-f742-4e0a-8086-36312a32599f","resolution":{"observed_at":"2026-08-02T00:36:15.200982Z","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":"2026-08-02T00:36:15.205333Z","title":"Generalizable and robust beam prediction for 6g networks: An deep- learning framework with positioning feature fusion,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.205333Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:d25ebfb20b5815216d53df096a74c73a8660fa48122d12559a027ff80b0e3bd1","observation_id":"09727850-4b23-4506-9fd6-e74f604499ca","resolution":{"observed_at":"2026-08-02T00:36:15.205333Z","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":"2026-08-02T00:36:15.209610Z","title":"A survey of beam management for mmWave and THz communications towards 6G,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.209610Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:9675a3e273862ffdb996c0b66e89eb64564add534447bab01e7d45ca8c700b37","observation_id":"7db1cb40-1568-4b78-a90d-ac872b7b1909","resolution":{"observed_at":"2026-08-02T00:36:15.209610Z","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":"2026-08-02T00:36:15.214009Z","title":"Sidelink positioning: Standardization advancements, challenges and opportunities,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.214009Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:aafdca78448d5979e57a8df57404a20550abcf3285fa4cf46f026da65fe0301b","observation_id":"f015c6e0-2e9c-4086-b19b-b4affbd3f281","resolution":{"observed_at":"2026-08-02T00:36:15.214009Z","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":"2026-08-02T00:36:15.218116Z","title":"Enhanced fingerprint-based positioning with practical imperfections: Deep learning-based approaches,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T00:36:15.218116Z"},"links":{"citing_paper":"/paper/2607.14975"},"observation_digest":"sha256:f35939b2b1d00263ddb635ab261e3a63dfb70fdb229c23eb1acef73cc8b22847","observation_id":"86e5424b-20d5-4c2c-94bd-47cfa2d31806","resolution":{"observed_at":"2026-08-02T00:36:15.218116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.14975","last_updated":"2026-07-16T13:29:02Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T22:45:14.103707Z","submitted_at":"2026-07-16T13:29:02Z","title":"CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":33},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.14975."}