{"as_of":"2026-08-09T19:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b308021617a2e6f4a547f0ba57ce767cb453695c7285fbe6466a56e34308dac","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:32:24.494849Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"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/2607.21099/citation-record","integrity":"/paper/2607.21099/integrity","json":"/paper/2607.21099/citation-record.json","paper":"/paper/2607.21099"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:32:21.335339Z","title":"Toward environment-aware 6G communications via channel knowledge map,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.335339Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:8ecbbc47cb631f16312f4a90a98de2a21b3e2df31fbbb8bb7cc40ef76d89ce25","observation_id":"93649a52-d615-408b-ac25-c4dc4b4516bb","resolution":{"observed_at":"2026-08-01T08:32:21.335339Z","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":"2026-08-01T08:32:21.391165Z","title":"A tutorial on environment-aware communications via channel knowledge map for 6G,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.391165Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:b95a0d11908b0c8eae64bb9ecfc4a7fd5a31a81d7374b44a3ab068b9ee9d1e25","observation_id":"fa5e481e-6f9e-41e9-810c-202f0688bf7f","resolution":{"observed_at":"2026-08-01T08:32:21.391165Z","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":"2026-08-01T08:32:21.474368Z","title":"Channel gain map tracking via distributed kriging,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.474368Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:cd8b1910718e8642d445afb1b75a4321db20bc299f99b18822785cce1b229862","observation_id":"5cd5dbc7-67a9-42e7-903b-77564ed6ad60","resolution":{"observed_at":"2026-08-01T08:32:21.474368Z","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":"2026-08-01T08:32:21.555209Z","title":"Channel knowledge map construction: Recent advances and open challenges,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.555209Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:eedbf2a4f217c74c8e5af6c2099c75f4ddc71e5df8b5330d8c92bf10fe430baa","observation_id":"c6a4a652-2bf8-40c2-b9f1-7b2d9afe12ab","resolution":{"observed_at":"2026-08-01T08:32:21.555209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24151","last_updated":"2025-05-30T02:54:55Z","snapshot_observed_at":"2026-08-09T03:05:22.405089Z","submitted_at":"2025-05-30T02:54:55Z","title":"Channel Knowledge Maps for 6G Wireless Networks: Construction, Applications, and Future Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.24151","snapshot_observed_at":"2026-08-01T08:32:21.664518Z","title":"Channel knowledge maps for 6G wireless networks: construction, applications, and future challenges,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.664518Z"},"links":{"cited_paper":"/paper/2505.24151","citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:0a4587f5c913a2429f0b32c2c1d51f4117c956cf177928eb29e998fa6908db20","observation_id":"4902dda5-b46a-4c4b-94f9-39218e7eea4b","resolution":{"observed_at":"2026-08-01T08:32:21.664518Z","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":"2026-08-01T08:32:21.783748Z","title":"An efficient radio map learning scheme based on kernel density function,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.783748Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:85a2ae958230da85b4a02408bfed42e44d2e83bba9d969fb2ad1145c08424f0c","observation_id":"716f9e7f-6ffa-4c6b-af67-0efc7180b856","resolution":{"observed_at":"2026-08-01T08:32:21.783748Z","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":"2026-08-01T08:32:21.867532Z","title":"Propagation map reconstruction via interpolation assisted matrix completion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.867532Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:9e3db8616b194debfa11e202ebad942d7ba709d99497079a83a27ec5cdd24f6f","observation_id":"20f3ddd7-5ab5-4c4b-a52d-8d381e06ba2e","resolution":{"observed_at":"2026-08-01T08:32:21.867532Z","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":"2026-08-01T08:32:21.979561Z","title":"Site-specific propagation prediction for wireless in-building personal communication system design,","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:21.979561Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:f490d311abd570799f10f5104593cd2e20f3016a42e3bd2c359588de6ed1294a","observation_id":"91fa22df-dd5d-4c06-a9bc-c2e780bbaaed","resolution":{"observed_at":"2026-08-01T08:32:21.979561Z","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":"2026-08-01T08:32:22.096661Z","title":"COST 231 Hata adaptation model for urban conditions in LTE networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.096661Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:37ce61040afcb90b66f6ac8828f8112daed0eeea42b6cc30845065ae5b37b6e2","observation_id":"218d6c36-c2dc-47d4-a12b-77d5f5de6e58","resolution":{"observed_at":"2026-08-01T08:32:22.096661Z","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":"2026-08-01T08:32:22.199733Z","title":"Ray tracing for radio propagation modeling: Principles and applications,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.199733Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:e1114faecb2b65dd0e251e30d4f364ffdd6aa9a46f654a958d040b6f76056432","observation_id":"b6db9a24-8692-439b-b271-bbf643bdfc77","resolution":{"observed_at":"2026-08-01T08:32:22.199733Z","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":"2026-08-01T08:32:22.283692Z","title":"RadioUNet: Fast radio map estimation with convolutional neural networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.283692Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:16072067989e4971042698ba49efe3580f9d86708955a80531c9f2f06acac883","observation_id":"d56055e2-db73-4f70-bcd6-9ece80d90dcb","resolution":{"observed_at":"2026-08-01T08:32:22.283692Z","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":"2026-08-01T08:32:22.383164Z","title":"RMTransformer: Accurate radio map construction and coverage prediction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.383164Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:3ad4e90f62c368a3ea5aee554737739e0d00ff82156882e4eac49f26797563ff","observation_id":"e3328870-e420-4e35-b77a-75fbf18cf814","resolution":{"observed_at":"2026-08-01T08:32:22.383164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.17323","last_updated":"2025-04-24T07:26:18Z","snapshot_observed_at":"2026-08-08T14:15:04.351314Z","submitted_at":"2025-04-24T07:26:18Z","title":"CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.17323","snapshot_observed_at":"2026-08-01T08:32:22.495754Z","title":"CKMDiff: A generative diffusion model for CKM construction via inverse problems with learned priors,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.495754Z"},"links":{"cited_paper":"/paper/2504.17323","citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:7f355742985a3c4ddb39b8610ee9434eeefebb3ad0cb8061b2301227bcab39d2","observation_id":"a5d73fc4-0422-445f-8e05-97141b2dca31","resolution":{"observed_at":"2026-08-01T08:32:22.495754Z","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":"2026-08-01T08:32:22.605369Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.605369Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:cec574f8bd719fd4ae2558620688c4880ed180efbaf65b0bd58e69db267d59d6","observation_id":"37600d68-851f-4d97-a245-96e3d290867a","resolution":{"observed_at":"2026-08-01T08:32:22.605369Z","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":"2026-08-01T08:32:22.767437Z","title":"3D Gaussian splatting for real-time radiance field rendering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.767437Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:309e44445c12a5d1eb8af9eea5c939b56cfd69d4c7007a3053cf6b83da7cbdaf","observation_id":"94269e94-28c2-49b5-bf42-d4654b19663c","resolution":{"observed_at":"2026-08-01T08:32:22.767437Z","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":"2026-08-01T08:32:22.875247Z","title":"NeRF2: Neural radio-frequency radiance fields,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:22.875247Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:a71a65f7c05d91fd432584e88935e0ad63801303e412a99b0df80e81becae7c4","observation_id":"05c6c2ab-ef79-4c16-8548-b5202e2c777f","resolution":{"observed_at":"2026-08-01T08:32:22.875247Z","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":"2026-08-01T08:32:23.027758Z","title":"WRF-GS: Wireless radiation field reconstruction with 3D Gaussian splatting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.027758Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:fdb17c85f9622c8639b69c5b582545b070e8fc7872bd9237ad169001eddfc593","observation_id":"1edc4c1d-a16f-4351-8b5c-4465fd201da3","resolution":{"observed_at":"2026-08-01T08:32:23.027758Z","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":"2026-08-01T08:32:23.121786Z","title":"6D channel knowledge map construction via bidirectional wireless Gaussian splatting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.121786Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:7ab1cdd13ebae930b1b1036cbd281e82e8817a8e848772121f8c7126b9d38e2b","observation_id":"519d816d-77b0-4241-a3c2-6967504de9bd","resolution":{"observed_at":"2026-08-01T08:32:23.121786Z","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":"2026-08-01T08:32:23.202044Z","title":"RF-3DGS: Wireless channel modeling with radio radiance field and 3D Gaussian splatting,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.202044Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:2fd20c042d3185ee26b23eea209d0e6c3deeb507743976e3868f02f1253fa0b6","observation_id":"f3940839-2077-4cff-8381-ff8f2cd24c72","resolution":{"observed_at":"2026-08-01T08:32:23.202044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.16849","last_updated":"2025-08-23T00:33:21Z","snapshot_observed_at":"2026-08-05T17:09:10.367139Z","submitted_at":"2025-08-23T00:33:21Z","title":"RF-PGS: Fully-structured Spatial Wireless Channel Representation with Planar Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.16849","snapshot_observed_at":"2026-08-01T08:32:23.217877Z","title":"RF-PGS: Fully-structured spatial wireless channel representation with planar Gaussian splatting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.217877Z"},"links":{"cited_paper":"/paper/2508.16849","citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:cd4195ed05d4771a3844c21140864b163f762b85b11b9dc9fa062407dc338385","observation_id":"50db91d8-a904-483d-ba20-1a5a805ec631","resolution":{"observed_at":"2026-08-01T08:32:23.217877Z","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":"2026-08-01T08:32:23.319519Z","title":"Deformable 2D Gaussian splatting for efficient wireless radiance field rendering,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.319519Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:88e368024c458b08b53d56c1e90974161decb272cae5d1f5420f227789c10fd7","observation_id":"c0f0548f-c7a4-4fee-83fe-58854d6f3546","resolution":{"observed_at":"2026-08-01T08:32:23.319519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.22793","last_updated":"2026-04-27T18:52:02Z","snapshot_observed_at":"2026-07-06T22:37:12.421372Z","submitted_at":"2025-11-27T22:42:23Z","title":"GSpaRC: Gaussian Splatting for Real-time Reconstruction of RF Channels","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.22793","snapshot_observed_at":"2026-08-01T08:32:23.519962Z","title":"GSpaRC: Gaussian splatting for real-time reconstruc- tion of RF channels,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.519962Z"},"links":{"cited_paper":"/paper/2511.22793","citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:8c0ceec27ef04b7887f480d8afce594f788eb64e6eab706ad9922191a4cc5844","observation_id":"fb7ff7e7-37b8-4759-9427-fcb36ab944a2","resolution":{"observed_at":"2026-08-01T08:32:23.519962Z","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":"2026-08-01T08:32:23.606959Z","title":"A Gaussian splatting approach to continuous radio map construction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.606959Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:c0137b83ff941345f5edc958a6fb2410470d0abd2cbc8271fb67f0363f5dd7ba","observation_id":"8f9a53ff-3784-461c-8c42-535d28eff73f","resolution":{"observed_at":"2026-08-01T08:32:23.606959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12686","last_updated":"2026-05-30T08:51:38Z","snapshot_observed_at":"2026-08-07T23:11:12.889559Z","submitted_at":"2025-02-18T09:44:38Z","title":"RadCloudSplat: Scatterer-Driven 3D Gaussian Splatting with Point-Cloud Priors for Radiomap Extrapolation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12686","snapshot_observed_at":"2026-08-01T08:32:23.755497Z","title":"RadSplatter: Extend- ing 3D Gaussian splatting to radio frequencies for wireless radiomap extrapolation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.755497Z"},"links":{"cited_paper":"/paper/2502.12686","citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:922c8226cc299924b29fb26915c370d30edfb24240bf08d96c46e736839f9510","observation_id":"875ff55f-81aa-4197-a16e-4e0057796e5c","resolution":{"observed_at":"2026-08-01T08:32:23.755497Z","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":"2026-08-01T08:32:23.895183Z","title":"Wideband RF radiance field modeling using frequency- embedded 3D Gaussian splatting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.895183Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:8f60ce69d282420937fee092fbfca9bd8fc38b221c3fce4a78dc5008a48fd173","observation_id":"a9e659e8-abe6-4180-a76c-ba2701467933","resolution":{"observed_at":"2026-08-01T08:32:23.895183Z","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":"2026-08-01T08:32:23.982421Z","title":"Channel gain map estimation for wireless networks based on scatterer model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:23.982421Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:8f59fdfb83d5313a2900d1edea3256c13d4c8b04c0ae76f4b55a71087f85b0e4","observation_id":"a6135517-72a9-41da-8759-5c99e269c1c3","resolution":{"observed_at":"2026-08-01T08:32:23.982421Z","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":"2026-08-01T08:32:24.086156Z","title":"Channel gain map estimation based on 3-D virtual scatterer model,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:24.086156Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:9dc3ab7ca4eb3bb13caf7fe8a8591aa9ebdd199b9488f1e4039862064b5f3e4b","observation_id":"31b74b7f-e4cc-46ea-bee5-95316b0adeeb","resolution":{"observed_at":"2026-08-01T08:32:24.086156Z","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":"2026-08-01T08:32:24.235618Z","title":"Goldsmith,Wireless Communications","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:24.235618Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:b59478a72f24b96df94f09da030eca5f93d1aa846f5465732c6d12b15ab16b8c","observation_id":"def90082-1273-4554-a7cf-e0f44c46ee89","resolution":{"observed_at":"2026-08-01T08:32:24.235618Z","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":"2026-08-01T08:32:24.322907Z","title":"Planet dump retrieved from https://planet.osm.org,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:24.322907Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:a6ab764bbfc29fa07577cfa0135f3efb5419b3e5123c828bf394dffd58a29236","observation_id":"3fa7f231-da0d-4c5e-a040-38f225fb4394","resolution":{"observed_at":"2026-08-01T08:32:24.322907Z","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":"2026-08-01T08:32:24.416840Z","title":"Hoydis, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:24.416840Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:5527e379c542e0f00aeb6a093f3f733b724ed1100415ae202caec7ed7e2e997a","observation_id":"c779ce75-f087-43cc-ba55-75b12fc94347","resolution":{"observed_at":"2026-08-01T08:32:24.416840Z","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":"2026-08-01T08:32:24.494849Z","title":"Kriging: a method of interpolation for ge- ographical information systems,","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T08:32:24.494849Z"},"links":{"citing_paper":"/paper/2607.21099"},"observation_digest":"sha256:a926271eb4d1757a840ce9d9ac623e94fcafd140ebd06c359ae81092eb2a3def","observation_id":"7503397c-d15a-4328-b61c-bcd45dea41d6","resolution":{"observed_at":"2026-08-01T08:32:24.494849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21099","last_updated":"2026-07-23T09:30:08Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-05T21:57:16.868686Z","submitted_at":"2026-07-23T09:30:08Z","title":"Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":31},"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 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.21099."}