{"as_of":"2026-08-23T22:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8593df611523c64fadfda07ee234518e3ac0bd22fc99d15e11c34f220038c33e","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T18:10:50.177111Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2508.15185/citation-record","integrity":"/paper/2508.15185/integrity","json":"/paper/2508.15185/citation-record.json","paper":"/paper/2508.15185"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:46.736809Z","title":"Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:46.736809Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:797074b21ba13cb3ac57727b1e5a56f3d548964d5bfac34d9e42f014f1930cdf","observation_id":"21c831cf-d8bc-4ac1-9543-144210f32026","resolution":{"observed_at":"2026-08-05T18:10:46.736809Z","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":"2026-08-05T18:10:46.849549Z","title":"Task- oriented communications for 6G: Vision, principles, and technologies,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:46.849549Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:a8e7668311d85bcf7eea0582d9decc79370f978fb2a8d304208736e9e4494bbd","observation_id":"e0e53888-b683-40b6-8575-379cafb5dfe7","resolution":{"observed_at":"2026-08-05T18:10:46.849549Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:58.252115Z","title":"Integrated sensing- communication-computation for edge artificial intelligence,","venue":null,"work_id":"796e978a-c99a-463f-babb-8e46b2da55b7","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:46.955714Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:130e0f242481715a292c85e7b7a64ebb33af555bae4ad36bc01b51d48752554f","observation_id":"86b7d3a7-1b2b-4ae3-b3f5-735791eb94a0","resolution":{"observed_at":"2026-08-05T18:10:58.348378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:58.094961Z","title":"A survey on integrated sensing, communication, and computation,","venue":null,"work_id":"48aba7db-269f-4bf8-b001-9b44a52e5be8","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.076558Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:1e8f16e31d66981c6d4f3004743a58668f155b7e62d126a5ecdeabc8f2bca69f","observation_id":"5b3dca2e-32d8-4bcb-8a3f-c20cdb60ec1c","resolution":{"observed_at":"2026-08-05T18:10:58.165861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:57.972835Z","title":"Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,","venue":null,"work_id":"b8da3e43-2ec0-4a62-adfe-5ea2a928cf0e","year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.162205Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:b54937a1075644c4377ee44508aa7d45cac929bc8a6efb0cb8e548a39aabc27e","observation_id":"db7cc2bf-c450-49e6-9306-dfaa5f2b74e5","resolution":{"observed_at":"2026-08-05T18:10:58.034530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:57.822631Z","title":"Broadband analog aggregation for low-latency federated edge learning,","venue":null,"work_id":"89dca204-c565-4c39-8620-1771e8dfd850","year":2020},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.243757Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:f4cae1ff7ad74822a71a1efbb40b214606dca0d8bd51f327ae4232474e545d95","observation_id":"cdbb91aa-fa10-43f3-85f3-d842cdfefac3","resolution":{"observed_at":"2026-08-05T18:10:57.892157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:57.645296Z","title":"Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air,","venue":null,"work_id":"d423c111-7934-4e43-9ccd-05993d2b3ec6","year":2020},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.368601Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:e4888bd31910e953f805197bf8b06d2484e378165922ff763ed0310700c9808c","observation_id":"f1cb38fb-6d6d-4ea0-b61b-a6b363d19313","resolution":{"observed_at":"2026-08-05T18:10:57.746854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:57.430497Z","title":"Federated learning via over- the-air computation,","venue":null,"work_id":"aebbe08d-4342-45fc-bdd4-5839a5730c56","year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.465744Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:a71ac2cf2e7cb74007dcb1de1bd6c3e50ab5a88c4a42be0c807b9ab1bbf8c75a","observation_id":"c2afad74-4a49-4fb6-a4bb-de73b61d1465","resolution":{"observed_at":"2026-08-05T18:10:57.524751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:57.282654Z","title":"Optimized power control design for over-the-air federated edge learning,","venue":null,"work_id":"d58f066d-226a-45cf-b829-2a9fa72a0cd3","year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.547332Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:2ec4b7360ee73b4cca66607ee5e72e89deecd1d5f9e1f6117ef11fb3800cb2cb","observation_id":"00a7cdaf-854a-4d2a-9a91-670d58bf1356","resolution":{"observed_at":"2026-08-05T18:10:57.356798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:57.137048Z","title":"MIMO over-the-air computation for high- mobility multimodal sensing,","venue":null,"work_id":"1ec82bcc-d092-4f72-b5da-d779d00b0d6f","year":2019},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.616822Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:cf399c0746181725b06ddec35767f08ce5134ed355ea388740706585c4e52c6c","observation_id":"83a00670-6f7c-4bed-b9aa-7a6ae9a1fa90","resolution":{"observed_at":"2026-08-05T18:10:57.208259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:56.987089Z","title":"Integrated sensing, communication, and computation over the air: Beampattern design for wireless sensor networks,","venue":null,"work_id":"3d22ef72-73ce-4dfb-8183-212609e97e40","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.686840Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:2d7290eeec72199515246438ea2778c5a68fcfa85780fc8667c46d5aecd3a1fe","observation_id":"d1045882-1951-451c-ac5b-0d08c9a7122b","resolution":{"observed_at":"2026-08-05T18:10:57.061860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:56.794999Z","title":"Spectral coexistence of MIMO radar and MIMO cellular system,","venue":null,"work_id":"83e2363d-3aa1-4fa0-b422-5dee67f4a3bf","year":2017},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.742999Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:3abb65dde24df7184aff7492843c43034ca906fa0046b09e7cdf88d4dd5b7b76","observation_id":"9d9c8032-86a4-49e5-9b94-873df0369196","resolution":{"observed_at":"2026-08-05T18:10:56.887949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:56.613118Z","title":"Adaptive interference removal for uncoordinated radar/communication coexistence,","venue":null,"work_id":"a4993e7c-4cf4-4de7-bf89-e90f885f98b1","year":2018},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.810346Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:49c01d336e8b076db1c7d3c482474af5f4f4a2d8110f3f37f9ebc3641b2f1e53","observation_id":"378fa5dc-6e66-46a7-8875-be6949e94421","resolution":{"observed_at":"2026-08-05T18:10:56.712345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:56.433525Z","title":"Generalized transceiver beamforming for DFRC with MIMO radar and MU-MIMO communication,","venue":null,"work_id":"88b441ad-2bbf-415d-975c-2b56701a7955","year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.871407Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:04e405172a244df556e5487476fbd5879aef555cb2a8062ea9bddd6b0b98cbb4","observation_id":"9757f323-8744-43ee-954b-ab494a661baf","resolution":{"observed_at":"2026-08-05T18:10:56.512440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:56.258224Z","title":"Integrated sensing and communication waveform design with sparse vector coding: Low sidelobes and ultra reliability,","venue":null,"work_id":"053ebc51-11c1-48ba-bc72-3fbf0a38a1e1","year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:47.962510Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:c4b97b85cb3e63217760f85743e10eeece5317e6282751a24c252d443e884f22","observation_id":"4692f33d-418b-43b0-89de-8c575f5666e7","resolution":{"observed_at":"2026-08-05T18:10:56.334818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:56.049082Z","title":"Optimal transmit beamforming for integrated sensing and communication,","venue":null,"work_id":"015a09d5-dea8-4cbf-8e7c-bc3d9079fea3","year":2023},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.023080Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:4fd3b8a62de38a6e0c55ee0b5d4a504ff8c1016a9d956fd05a30b3272bf34bca","observation_id":"7f14d1ee-44b6-4487-848e-ac7b20ebe35b","resolution":{"observed_at":"2026-08-05T18:10:56.151384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:55.850346Z","title":"MAJoRCom: A dual-function radar communication system using index modulation,","venue":null,"work_id":"2c5ddcf5-cc26-4f30-b903-67eb2ad2ed32","year":2020},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.088724Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:7d73c5995b5b1c655e847656900e654a31b44885ca11c2ebe75611fde0d2eb89","observation_id":"d6d168e3-472c-48f4-8a4f-31edd0a153ee","resolution":{"observed_at":"2026-08-05T18:10:55.900105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:55.683198Z","title":"Power allocation for coexisting multicarrier radar and communication systems in cluttered environments,","venue":null,"work_id":"c52e284f-7bfa-4a1c-9df0-2a8322291937","year":2021},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.145764Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:577018b5f90c507b4234efaea0536b1a0a6923a8001436b8d7c409fa23eb7c6d","observation_id":"a6f1fb45-0d9e-43c8-8c1f-681da8c03963","resolution":{"observed_at":"2026-08-05T18:10:55.766678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:55.538994Z","title":"An information-theoretic approach to collaborative integrated sensing and communication for two-transmitter systems,","venue":null,"work_id":"c921ca59-a147-4ed1-8378-f5d801709ddc","year":2023},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.233397Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:e4ce43117955adb13c9b68c0cd9c071099a3deeb4e3d562032b8ec5ea5abec10","observation_id":"b885421c-e42a-422c-a79d-31d8990e1767","resolution":{"observed_at":"2026-08-05T18:10:55.611302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:55.354028Z","title":"MIMO integrated sensing and commu- nication: CRB-rate tradeoff,","venue":null,"work_id":"3dae6b99-6795-426a-8a72-ba3d8180203f","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.300166Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:e5f6cc37822a5e5f40a97dfac2c7a9497bf410e15b191bbacecbaab694f0a3df","observation_id":"94aab51f-94f4-4393-a45d-95d89a39103b","resolution":{"observed_at":"2026-08-05T18:10:55.431997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:55.149338Z","title":"Reduced-dimension design of MIMO over-the-air computing for data aggregation in clustered IoT networks,","venue":null,"work_id":"9da7586f-caaf-4ea8-8a8e-9df9da30274d","year":2019},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.360051Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:06b25a1825db32f3b771f323ff846377b88788324a68dbd845354b84cee451ce","observation_id":"4511a621-0a33-4e60-910c-5f9a322dde4b","resolution":{"observed_at":"2026-08-05T18:10:55.229965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:54.943841Z","title":"Optimized power control for over-the-air computation in fading channels,","venue":null,"work_id":"11674c06-3362-4401-9e49-313cf603db98","year":2020},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.448800Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:eabe0821e7771cdec48bedecfda580bcb7fd98e6b21a555db47af0f5cdee78d5","observation_id":"ef3d6800-f9b8-4de6-8c70-a9ad2944fff7","resolution":{"observed_at":"2026-08-05T18:10:55.059254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:54.757702Z","title":"An overview on over-the-air federated edge learning,","venue":null,"work_id":"f817de9d-19c8-47c2-b6af-1410f971f3d7","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.519852Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:b211fb03c58719b92ee2b53ad18b271c5b791c8420882a54c96a5627e6073c6f","observation_id":"091f4f2b-d824-4508-9362-ec8d689d9c6e","resolution":{"observed_at":"2026-08-05T18:10:54.858978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:54.551034Z","title":"Integrated sensing and communication for edge inference with end-to-end multi- view fusion,","venue":null,"work_id":"fc3f1918-15fc-429b-a0ca-1b436e1c0d37","year":2040},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.579499Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:f1a71ef1588281b0fa22c70d6b457f81bb3361ccb0ded1bf9203679bc76443cc","observation_id":"3b5acb47-fff7-4a26-aa00-99d3c465fb7c","resolution":{"observed_at":"2026-08-05T18:10:54.659932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:54.352402Z","title":"ISAC- accelerated edge intelligence: Framework, optimization, and analysis,","venue":null,"work_id":"9aee79ae-8f8d-4d9c-83ef-4842c138fe4b","year":2023},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.639422Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:7c1a78dc172c6cde4f8637cbfc5e3b36555e8adae08a7557559edbaa53ddbeac","observation_id":"54db2699-d60b-4793-993f-1b343ca1f6f7","resolution":{"observed_at":"2026-08-05T18:10:54.429820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:54.185935Z","title":"Wifederated: Scalable WiFi sensing using edge-based federated learning,","venue":null,"work_id":"a9d9748f-7b7b-4bcc-a5a1-8b11830c2d7a","year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.702083Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:0cb2fddc1cfd4b75ff284cfcf508fcacbe7475ab3f67131a46d344285727a01a","observation_id":"49f81b53-6a8c-4d7a-b206-db58f0d614b8","resolution":{"observed_at":"2026-08-05T18:10:54.252492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:54.050294Z","title":"Vertical federated edge learning with distributed integrated sensing and communication,","venue":null,"work_id":"689f53ed-762c-4586-af1b-6734ca787fa7","year":2091},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.781040Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:f090045f094ce836a5a0b7902480f861c574fe90a48056c36ab9e2ff3097ad36","observation_id":"27c8c231-dd49-41fb-ba44-881374b89aba","resolution":{"observed_at":"2026-08-05T18:10:54.105789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:53.845438Z","title":"Communication-efficient personalized federated edge learning for de- centralized sensing in ISAC,","venue":null,"work_id":"42971f75-cbf0-415b-ab17-9d12cab4dd12","year":2023},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.847492Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:0c3ca5ea445c62d04c1d71f95ab0e9960245ef9e950ad1d6d4cca7853de34b70","observation_id":"94aab828-9fbe-4280-bac7-6b0df7ad3bba","resolution":{"observed_at":"2026-08-05T18:10:53.947889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:53.694523Z","title":"Multi- task learning resource allocation in federated integrated sensing and communication networks,","venue":null,"work_id":"dedd8b88-082a-4dbc-b962-f9fad7219b12","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:48.938530Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:5d523368797fee5bf7dc733f79dba50e3272111b2c70d6caa95a5edc93825a03","observation_id":"3a6d9500-87d8-48ec-bad4-6bff1d94f7d2","resolution":{"observed_at":"2026-08-05T18:10:53.753784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:53.215962Z","title":"To- ward ambient intelligence: Federated edge learning with task-oriented sensing, computation, and communication integration,","venue":null,"work_id":"f7383c80-5e50-4d41-8cbd-5843bbc4693d","year":2023},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.027043Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:b98a1ab7b1fce8b6ceb4365a085de53af20ccd39c500e0090289b0538a0f61fa","observation_id":"a1c0a4b0-c5af-42e3-95d9-837ab30a1850","resolution":{"observed_at":"2026-08-05T18:10:53.521921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:52.850410Z","title":"Theoretical analysis and performance evaluation for federated edge learning with integrated sensing, communication and computation,","venue":null,"work_id":"625967f8-9083-43b8-ad0a-248233dd402e","year":2023},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.098705Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:975614e9658e3961a49389cde121cbaa3b9aaa37f8d5b9a5363e23d5584fc6a5","observation_id":"508079f1-e8ee-458e-8e6b-67dc7ad94658","resolution":{"observed_at":"2026-08-05T18:10:52.981484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:52.635983Z","title":"Collaborative learning with a drone orchestrator,","venue":null,"work_id":"2c1d85c6-0b72-4884-bf31-0f8269855ceb","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.169282Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:4bc4dd1d565d731d7c9daf810a90e414628ec1980612c6c2f038b322b4145fca","observation_id":"5dca9cde-505e-4bed-8ba7-842e7c92ab9d","resolution":{"observed_at":"2026-08-05T18:10:52.734318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:52.440500Z","title":"Joint wireless communication and radar sensing systems–state of the art and future prospects,","venue":null,"work_id":"05922466-50f4-4bee-a752-db2d5d795e5c","year":2013},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.238215Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:7df3ce406d73f30514a566f92febe74245c8ca786bf16aa77c9d47ab49be3432","observation_id":"3c945eab-3778-45d3-ba93-f739f1013aa1","resolution":{"observed_at":"2026-08-05T18:10:52.539983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:52.232773Z","title":"Task-oriented over-the-air computation for multi-device edge AI,","venue":null,"work_id":"477e0936-9fc3-4d31-b86e-3497b0c3f02a","year":2039},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.297445Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:957c422fb303e1d5b9a36f0c4e05d73d3de155348a4a0a7189351676dff1d48f","observation_id":"edbb5a68-579c-4a32-a907-ca6907b9dd81","resolution":{"observed_at":"2026-08-05T18:10:52.341775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:52.012784Z","title":"Integrated sensing-communication-computation for over-the-air edge AI inference,","venue":null,"work_id":"1b7c1203-2c3b-4434-975a-7b8beb78a61e","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.361761Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:8e24f1b0e2484ed605a206c242f67b3b3d722eae76f797b82593ac5157ec40cf","observation_id":"b7c09347-132d-46a8-8f3a-f29dccf34d79","resolution":{"observed_at":"2026-08-05T18:10:52.104013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:51.839091Z","title":"Task- oriented sensing, computation, and communication integration for multi- device edge AI,","venue":null,"work_id":"0d0f3031-ab76-4831-bd32-5d6fc3d9d603","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.451795Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:80195e327dc3e529b6503e1de4a069c1b936a91f36a2af1339a0ed1e261cd2f2","observation_id":"8d564e90-779d-4bf3-be0d-214da7a0b6c8","resolution":{"observed_at":"2026-08-05T18:10:51.917521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:51.648553Z","title":"Context-aware predictive coding: A representation learning framework for WiFi sens- ing,","venue":null,"work_id":"8cbfa9e1-d0ec-4e70-9e07-fea8b183057b","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.546891Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:085f3b57357b963b6e81c810a212e62e398e581850f262a58a6d80d5b5148592","observation_id":"0d276c4f-141e-4a01-a32c-b49327bc0eb4","resolution":{"observed_at":"2026-08-05T18:10:51.727116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:51.467952Z","title":null,"venue":null,"work_id":"de527a2f-2f35-44e4-af6e-16207d7848ea","year":2002},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.614544Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:d6ff48e0457218bab6387f90eb7f99477d85472c4829021866a25b14ab623cfb","observation_id":"bb08d119-9391-4029-86c5-139edc3dc65f","resolution":{"observed_at":"2026-08-05T18:10:51.555658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:51.282578Z","title":"Energy-efficient resource management for federated edge learning with CPU-GPU heterogeneous computing,","venue":null,"work_id":"14023469-d1df-45e3-b720-a4ae8eda1bcb","year":2021},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.672001Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:d9bc391519e87fe1a3f9bb11a9b6d37a625d2a723a03c6de50d0b1bef80f0bd9","observation_id":"40b8957d-c416-4697-ad36-16b1534cdb5b","resolution":{"observed_at":"2026-08-05T18:10:51.338763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:51.114900Z","title":"Compressed-vfl: Communication-efficient learning with vertically partitioned data,","venue":null,"work_id":"1d098409-462c-4f78-a929-97d8b42c81b2","year":2022},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.742520Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:b88c4b9c0d18ca8e5c5ae3bc9d1edde222bfb1fffb031bf3ef2c53670d410467","observation_id":"3303de04-c6e5-40b8-86cc-e0368779e514","resolution":{"observed_at":"2026-08-05T18:10:51.187344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:50.934865Z","title":"Natasha 2: Faster non-convex optimization than SGD,","venue":null,"work_id":"5f145645-de57-4b58-b38e-9a157dfce6e0","year":2018},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.809157Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:27212e2cb3079ac707731ddf165f04229e1eb57667417c60e60544e913d44dc9","observation_id":"56330ec8-b0d1-48eb-bcef-bf6db249ab6f","resolution":{"observed_at":"2026-08-05T18:10:51.024284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:50.767767Z","title":"Stochastic first-and zeroth-order methods for nonconvex stochastic programming,","venue":null,"work_id":"5f157ebe-73f3-4cc7-a007-639b3f613cff","year":2013},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.862208Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:223659c326fa33ac87a1f5e86d655eab53a31c5ad043115787819c661ecb5115","observation_id":"93dbbd40-d47b-4e18-81a4-42a35a1b14db","resolution":{"observed_at":"2026-08-05T18:10:50.859952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:50.691665Z","title":"Federated learning with energy harvesting devices,","venue":null,"work_id":"7a55bf7a-5e4b-45c8-b5f8-9ba95ed11749","year":2024},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:49.952456Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:8dfe81f51e18ebe42453db22cc656f42c1025e7be3508342f3be54b0d9cfac20","observation_id":"7c2ded9b-67df-4deb-aeff-ea5d9e73d9f6","resolution":{"observed_at":"2026-08-05T18:10:50.700689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:50.562147Z","title":"Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control,","venue":null,"work_id":"dd65bbad-856c-4fc4-9718-952b346f17e6","year":2021},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:50.048959Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:f1cd1a0239c2dcaa8b4e350c36b0dd4866805e5b0314f2f67db256bbbcca3db2","observation_id":"fac6dfc4-f884-42ae-bea8-398b2d860f74","resolution":{"observed_at":"2026-08-05T18:10:50.618567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:50.405299Z","title":"Interior-point methods,","venue":null,"work_id":"a86525ad-fcb0-4243-b469-eb072a6e3f1f","year":2000},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:50.107485Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:5f6e5385a05d91a9f6b5a225bb2f116e98fe58d585d18802f10c7aa1349c7f56","observation_id":"8d0d8198-c594-4a17-b8ac-740ca3e24ee1","resolution":{"observed_at":"2026-08-05T18:10:50.481435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:10:50.274869Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":"65b6dcc4-e2d7-4186-b8a2-08eca72d2dc4","year":2016},"citing_paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T18:10:50.177111Z"},"links":{"citing_paper":"/paper/2508.15185"},"observation_digest":"sha256:f06502413bd694f6eb6a905bb83ef76a890b0f4938c62891c3b8f21c530972d4","observation_id":"10db700b-d961-4d73-a051-771cdd8ff80b","resolution":{"observed_at":"2026-08-05T18:10:50.330237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.15185","last_updated":"2025-08-21T02:46:46Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-15T15:25:51.422405Z","submitted_at":"2025-08-21T02:46:46Z","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":43},"total_outbound_references":46},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2508.15185."}