{"as_of":"2026-08-16T12:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:60cb9b01760ff9eec1d64f2dc9fc8b8dad4c2a80760b1b5ec912cae530112728","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:38:36.381734Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:18:33.649405Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T23:18:34.027969Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"cited_work":{"arxiv_id":"2412.10878","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.10878","snapshot_observed_at":"2026-08-10T23:18:34.027969Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","venue":"cs.LG","work_id":"2307ee9e-90e6-4e33-af8a-4f0e7eba9abd","year":2024},"citing_paper":{"arxiv_id":"2412.20785","last_updated":"2024-12-30T08:10:21Z","snapshot_observed_at":"2026-08-15T12:51:09.141088Z","submitted_at":"2024-12-30T08:10:21Z","title":"Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T23:18:33.649405Z"},"links":{"cited_paper":"/paper/2412.10878","citing_paper":"/paper/2412.20785"},"observation_digest":"sha256:fde71ac39ee384d71956405f3456a63d780ad223467613c52786fb8524e5225c","observation_id":"f661c769-e288-4c09-b923-c8cc2c726af0","resolution":{"observed_at":"2026-08-10T23:18:34.031928Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.10878/citation-record","integrity":"/paper/2412.10878/integrity","json":"/paper/2412.10878/citation-record.json","paper":"/paper/2412.10878"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1610.05492","last_updated":"2017-10-30T20:52:14Z","snapshot_observed_at":"2026-08-13T17:19:46.488095Z","submitted_at":"2016-10-18T09:11:51Z","title":"Federated Learning: Strategies for Improving Communication Efficiency","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.05492","snapshot_observed_at":"2026-08-11T15:38:36.155032Z","title":"Federated Learning: Strategies for improving com- munication efficiency,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.155032Z"},"links":{"cited_paper":"/paper/1610.05492","citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:4fd2f1bc7e0d2791fd98b834d33728fadf9ebfd3917cded612d161119e54d942","observation_id":"2255b9f8-36fd-4cd4-af2c-650973d7cdde","resolution":{"observed_at":"2026-08-11T15:38:36.155032Z","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":"2026-08-11T15:38:37.321148Z","title":"Foundations of user-centric cell-free Massive MIMO,","venue":null,"work_id":"e893c22c-bead-41f4-a9a6-c732ff9a2634","year":2021},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.235977Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:03bfca5869b7e47dc11dd17ebac4f442823e34801418d73a05011a5e9c6213bc","observation_id":"e283799a-e5f6-4b2a-8c6d-5bcf2e91911c","resolution":{"observed_at":"2026-08-11T15:38:37.325295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:38:36.274682Z","title":"Wireless communications for collaborative Federated Learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.274682Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:bf5766da8829c4c1d9f1f31be32b668a4119b9c11085670991ec68e9b4c63a1a","observation_id":"5acd16ee-ab2b-4cfb-97a5-c392d7d43b59","resolution":{"observed_at":"2026-08-11T15:38:36.274682Z","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":"2026-08-11T15:38:37.303729Z","title":"Communication-efficient Federated Learning with adap- tive quantization,","venue":null,"work_id":"2cbd844a-b2a4-4bd0-a6d7-eeb0dc600f5d","year":2022},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.306327Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:c68bcb45b2d1387a6a0b4df7098575b4c385ec66fab4b0423b7e9920a0e052f9","observation_id":"eb78bbda-dc5a-4625-afcc-3ae21365db43","resolution":{"observed_at":"2026-08-11T15:38:37.307533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:38:36.310150Z","title":"Adaptive quantization of model updates for communication-efficient Federated Learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.310150Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:d0ea5161bdfc246583e50cf27b2dc7a6bf8329a9218af5c048e085ff1ec3f3ec","observation_id":"4f50c196-a7ef-4d4f-87b5-0b6a2013b08d","resolution":{"observed_at":"2026-08-11T15:38:36.310150Z","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":"2026-08-11T15:38:37.288466Z","title":"Joint compression and deadline optimization for wireless Federated Learning,","venue":null,"work_id":"1d00f006-02d0-4a8a-a21f-925990b18a15","year":2024},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.314303Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:1e323f710d2dc83f16b96a7ecc54982f7e5bbed8c79fe664a6141da921538530","observation_id":"4cd0b6eb-270f-402a-8813-cfd556096526","resolution":{"observed_at":"2026-08-11T15:38:37.291482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:38:36.318438Z","title":"FedDQ: Communication-efficient Federated Learning with descending quantization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.318438Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:8cad93646e4ac45373ec1c50661fff34a3aad07bc83d7b22ab13293db14a91eb","observation_id":"4d0e597d-2b4e-42aa-8f99-c9b4e20efb8d","resolution":{"observed_at":"2026-08-11T15:38:36.318438Z","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":"2026-08-11T15:38:37.273166Z","title":"AQUILA: Communication efficient Federated Learning with adaptive quantization in device selection strategy,","venue":null,"work_id":"546e6201-c621-4e4d-9b4a-92bba53c6416","year":2024},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.321269Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:249feae4b41c37404b699217c7ed14d90db20a15a7c58a521197ef243b00368a","observation_id":"6c11120a-08b3-41c1-b279-bb2a36b1aef2","resolution":{"observed_at":"2026-08-11T15:38:37.276234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:37.263152Z","title":"Lazily Aggregated Quantized Gradient (LAQ) innovation for communication-efficient Federated Learning,","venue":null,"work_id":"89af0a90-638a-440b-8aa7-ee99f585b5ed","year":2022},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.324929Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:76247c86e12a4fac632f4acb39872f185c2deeb43925ace050fc836e2ada5948","observation_id":"0667ab66-9787-43ef-8596-c22dee7363a7","resolution":{"observed_at":"2026-08-11T15:38:37.266644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:37.026270Z","title":"A-LAQ: Adaptive Lazily Aggregated Quantized Gradient,","venue":null,"work_id":"4c1bfa05-e5f4-4c12-9a9d-07caa49e80dd","year":2022},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.328872Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:db74c1bd9aac8f3bd89451026c424a932580948d065111824e58d0cbb1fe5829","observation_id":"26475043-bfd4-4242-8aaa-d3aebe6cda7f","resolution":{"observed_at":"2026-08-11T15:38:37.124215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:38:36.331428Z","title":"DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.331428Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:bcdc191a1a6e218b1bd6945ee67d9af41f4c5ecb8a4924a70664c6946aae5724","observation_id":"3b441da5-1727-49bc-bd6b-9bbc45968fb4","resolution":{"observed_at":"2026-08-11T15:38:36.331428Z","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":"2026-08-11T15:38:36.910863Z","title":"Joint resource allocation to minimize execution time of Federated Learning in cell-free Massive MIMO,","venue":null,"work_id":"2e565304-bc84-4f76-bc05-360d9c61c334","year":2022},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.334573Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:196f98c306908d8748ef002e5c022514d71f6a745f72102cd308b4efc409ab36","observation_id":"af1ead23-d363-421a-961e-86c1fe952950","resolution":{"observed_at":"2026-08-11T15:38:36.986595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.857068Z","title":"Cell-free Massive MIMO for wireless Federated Learning,","venue":null,"work_id":"5a3d059a-9eaa-446e-bc7c-caa5eb34cc5d","year":2020},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.337628Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:d1c5766aab428e4f2899b6e9d950412b078113fba01f04451e8074dfeee178c7","observation_id":"b7c62619-2492-4e7c-a5d0-27c112fc2b41","resolution":{"observed_at":"2026-08-11T15:38:36.860277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.847802Z","title":"Straggler effect mitigation for Federated Learning in cell-free Massive MIMO,","venue":null,"work_id":"6b3d2cf5-d565-44a6-bd12-bb3de8229101","year":2021},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.340753Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:6c01563c2009f5bec5dd123ac7ac3e2f14dcb5e4a1c333bd661ab6fa24787581","observation_id":"34423309-27f4-436f-913b-8c5e232fdcf3","resolution":{"observed_at":"2026-08-11T15:38:36.850862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.838585Z","title":"How does cell-free Massive MIMO support multiple Federated Learning groups?","venue":null,"work_id":"861d9934-3b2a-40ae-88cf-01600533ccba","year":2021},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.343749Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:350c16be2a7f63a9169d023ac56ceb3630a095c0373616cc51838017fbd56957","observation_id":"65490c85-bf41-4b5f-8ff9-c72d216d955f","resolution":{"observed_at":"2026-08-11T15:38:36.841708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18156","last_updated":"2024-06-26T08:14:23Z","snapshot_observed_at":"2026-08-16T09:14:21.358991Z","submitted_at":"2024-06-26T08:14:23Z","title":"FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18156","snapshot_observed_at":"2026-08-11T15:38:36.346824Z","title":"FedAQ: Communication-efficient Federated Edge Learning via joint uplink and downlink adaptive quantization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.346824Z"},"links":{"cited_paper":"/paper/2406.18156","citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:327a98d96f425fd04a1ea26142c968520de34bec1209fabf21244f6302ad8659","observation_id":"aeeeb011-b49b-43bc-84c5-97081a804eab","resolution":{"observed_at":"2026-08-11T15:38:36.346824Z","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":"2026-08-11T15:38:36.828667Z","title":"SAFARI: Sparsity-enabled Federated Learning with limited and unreliable communications,","venue":null,"work_id":"4e61db0e-8e70-4afd-9b32-0699259d8036","year":2024},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.350225Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:e5281ed72dca38c461545465411cd1985cb47ca91bd2840939d087381ba8d959","observation_id":"51c34bca-c068-472e-aa8b-6821ef780703","resolution":{"observed_at":"2026-08-11T15:38:36.832258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:38:36.353486Z","title":"Machine learning at the wireless edge: Distributed stochastic gradient descent Over-the-Air,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.353486Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:b0ac05de6c4f5fa4d285d41ec49c88a73409f64950ec50b7c0e74d1386f1117e","observation_id":"20464c06-006c-40eb-af1f-ba1b3b397f17","resolution":{"observed_at":"2026-08-11T15:38:36.353486Z","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":"2026-08-11T15:38:36.811885Z","title":"Vector quantized compressed sensing for communication- efficient Federated Learning,","venue":null,"work_id":"e168914f-1689-46f5-ac4d-c2b331304af0","year":2022},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.356401Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:157844c559256d9703ccac208ac34c38491a83ade79e8199ec281cb52915be16","observation_id":"a2d239ce-f4c6-4c87-b0ee-25a95152bd48","resolution":{"observed_at":"2026-08-11T15:38:36.816127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.800363Z","title":"Gradient sparsification for communication-efficient distributed optimization,","venue":null,"work_id":"a243501d-c78f-4462-b67c-cd4c71494bc1","year":2018},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.359669Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:9afe976b5b23aedbf6d1cb44d40f812d54d23d85acfc0c6d84848c3653245fbf","observation_id":"00b374ea-22c6-4592-86d4-d39ab3ddebc3","resolution":{"observed_at":"2026-08-11T15:38:36.804019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.790073Z","title":"Energy-efficient power control: A look at 5G wireless technologies,","venue":null,"work_id":"b903bd1b-8621-498b-8c47-8d9f314f9354","year":2015},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.363121Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:c9fe4128359c7a9dec5569b876b2c0e79190de348cab8f29913d63fafd554f82","observation_id":"81819f49-7d92-4b85-8bd4-ec8b3c5ac9a1","resolution":{"observed_at":"2026-08-11T15:38:36.793445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.00295","last_updated":"2021-09-08T23:37:17Z","snapshot_observed_at":"2026-08-13T06:06:10.844945Z","submitted_at":"2020-02-29T16:37:29Z","title":"Adaptive Federated Optimization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.00295","snapshot_observed_at":"2026-08-11T15:38:36.366022Z","title":"Adaptive federated optimization,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.366022Z"},"links":{"cited_paper":"/paper/2003.00295","citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:ba6aab59fbcd92bf240540cd19719db2e723859e0112348b27a2480f68a65a07","observation_id":"42083d99-5a16-4dd9-84ae-d0f0fa421621","resolution":{"observed_at":"2026-08-11T15:38:36.366022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1212.5701","last_updated":"2012-12-22T15:46:49Z","snapshot_observed_at":"2026-08-15T00:34:41.793608Z","submitted_at":"2012-12-22T15:46:49Z","title":"ADADELTA: An Adaptive Learning Rate Method","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1212.5701","snapshot_observed_at":"2026-08-11T15:38:36.369523Z","title":"Adadelta: An adaptive learning rate method,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.369523Z"},"links":{"cited_paper":"/paper/1212.5701","citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:16073bfaf08db0cd191fd5665597bddc50156379f1893b53e86949d1d5d4cd9f","observation_id":"74242fd7-aace-4f9c-8551-027a7b17fab5","resolution":{"observed_at":"2026-08-11T15:38:36.369523Z","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":"2026-08-11T15:38:36.779797Z","title":"Joint energy and latency optimization in Federated Learning over cell-free massive MIMO networks,","venue":null,"work_id":"886b752e-af2e-4d9c-b607-c4f8ab61e31f","year":null},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.372646Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:a1ee0d39c69c366f514c16534986842260e8dd2f5a61753488ea00c2b1b07027","observation_id":"698b65da-464a-41d3-83b9-ef75d4ab9f86","resolution":{"observed_at":"2026-08-11T15:38:36.783711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.769218Z","title":"Cell-free Massive MIMO versus small cells,","venue":null,"work_id":"ab271971-7d10-4bc4-995e-d17f45a32097","year":2017},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.375665Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:4fe18a951a80d89653f4aff2f90196cb27351ee0c1c451a75f815a31ca884846","observation_id":"8da4acfe-1ead-4cc7-8231-9d24acac4ae3","resolution":{"observed_at":"2026-08-11T15:38:36.772988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.686430Z","title":"Communication-efficient learning of deep networks from decentralized data,","venue":null,"work_id":"579012df-52fe-44fc-857a-7b543b7c2042","year":2017},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.378408Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:b0a3a3791918a3f435bd75217d932a29e813a8486678f39e171f64594b7497cf","observation_id":"164a2b32-1316-4e7b-a0b5-616146ed4343","resolution":{"observed_at":"2026-08-11T15:38:36.761756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T15:38:36.445541Z","title":"FedCau: A proactive stop policy for commu- nication and computation efficient Federated Learning,","venue":null,"work_id":"4ec528a9-132e-4947-bc09-eb734a06ee66","year":2024},"citing_paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T15:38:36.381734Z"},"links":{"citing_paper":"/paper/2412.10878"},"observation_digest":"sha256:0478f954d076cf678c7cefcb9479bf17683f65595eeda7baad39384c5ea2351d","observation_id":"c58fb169-039b-4f78-98c6-ec5ff3956fd3","resolution":{"observed_at":"2026-08-11T15:38:36.579170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.10878","last_updated":"2024-12-14T16:08:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T21:44:49.880039Z","submitted_at":"2024-12-14T16:08:05Z","title":"Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":27},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2412.10878."}