{"as_of":"2026-08-16T12:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:807a15b14e6f109a04a5e4b6da1dbe22eaa7a5f398c1c7b1c876689dd962b3a6","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:28:03.886618Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.09049/citation-record","integrity":"/paper/1908.09049/integrity","json":"/paper/1908.09049/citation-record.json","paper":"/paper/1908.09049"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:28:04.784482Z","title":"Learning how to demodulate from few pilots via meta-learning,","venue":null,"work_id":"cbc044ba-b344-45b2-8dbc-b7d8654ce32c","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.627502Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:eabf414719b5b28eb790c2d0632ff79dac42016803142de177bf7ef5be5a64a7","observation_id":"067514ce-87f1-461a-a555-884d7facee16","resolution":{"observed_at":"2026-08-14T11:28:04.789556Z","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":"2026-08-14T11:28:04.767751Z","title":"Short packets over block-memoryless fading channels: Pilot-assisted or noncoherent transmission?","venue":null,"work_id":"22cce927-41c9-4f5a-a4fb-8038917dee4a","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.633269Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:80b79c4c21056374c86e8a27f779b7f8b67be4d17b14e6603cc6a1de7ba12f39","observation_id":"57cfc962-9d10-45ae-b418-b548d9123d06","resolution":{"observed_at":"2026-08-14T11:28:04.773733Z","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":"2026-08-14T11:28:04.752141Z","title":"Applications of neural networks to digital communications–a survey,","venue":null,"work_id":"79c3896e-7d08-4259-ba40-78f4ea8a6fed","year":2000},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.638568Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:db515a214a07f1aa0e6f63ce77fd4629b2b78455add7aef8aea226c9a022c6f8","observation_id":"dd13c944-30b1-4f9f-a75e-27349953076c","resolution":{"observed_at":"2026-08-14T11:28:04.757131Z","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":"2026-08-14T11:28:04.736483Z","title":"A very brief introduction to machine learning with ap- plications to communication systems,","venue":null,"work_id":"17a7af97-c9a2-43e7-a0ef-ce2c9830a7c2","year":2018},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.643858Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:2c6d485ca2c656f4f115f4dbd56b0d614445930dcadd7c1e6f7b2894303cb8e2","observation_id":"b17ef41b-b085-4a88-85cd-43d8a290e875","resolution":{"observed_at":"2026-08-14T11:28:04.741601Z","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":"2026-08-14T11:28:04.719521Z","title":"Equalisation of satellite mo- bile channels with neural network techniques,","venue":null,"work_id":"e01b6178-1959-4b25-90f9-ea7d44b99dee","year":1998},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.650199Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:7eed3594979fb86b9908cc4a34abea52672fdcae3c5ecfd64c1af0a6181a0221","observation_id":"1bb7a2df-9c41-40ef-9f9e-b7218eb3b1ac","resolution":{"observed_at":"2026-08-14T11:28:04.725019Z","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":"2026-08-14T11:28:04.703898Z","title":"An introduction to deep learning for the physical layer,","venue":null,"work_id":"211ab0fa-f384-426d-9bcf-b62b824fd572","year":2017},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.655957Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:66b7979189a7940a5e9e2c0448aec1de74db4298c8bfa426251de834ecb286dc","observation_id":"aefc8273-4ecc-4cd2-9cb8-dbc8add81e20","resolution":{"observed_at":"2026-08-14T11:28:04.709297Z","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":"2026-08-14T11:28:04.687760Z","title":"Deep learning based communication over the air,","venue":null,"work_id":"6c6208e5-8d8e-4a99-9334-94ab8e80886a","year":2017},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.662966Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:fb51f2909f1b2e45d3aeea3095df74efdbc5f1016632669a9452052282c8758f","observation_id":"4738d142-178f-4c49-be3e-e237bf829999","resolution":{"observed_at":"2026-08-14T11:28:04.693278Z","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":"1906.04610","last_updated":"2019-06-11T14:07:37Z","snapshot_observed_at":"2026-08-14T16:17:26.595895Z","submitted_at":"2019-06-11T14:07:37Z","title":"Adaptive Neural Signal Detection for Massive MIMO","version":1},"cited_work":{"arxiv_id":"1906.04610","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.04610","snapshot_observed_at":"2026-08-14T11:28:04.218957Z","title":"Adaptive Neural Signal Detection for Massive MIMO","venue":"eess.SP","work_id":"f4e3571e-7fbe-48b5-992b-b0789e4c0a69","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.667885Z"},"links":{"cited_paper":"/paper/1906.04610","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:f7d9c0782adf16bd249f6d8dac5b46ff9dda0fa404a7f42fadf0c43034adfc66","observation_id":"6cd7e135-3b70-471a-9379-be83fea1da33","resolution":{"observed_at":"2026-08-14T11:28:04.224441Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:28:04.672196Z","title":"Hastie, R","venue":null,"work_id":"06319ae0-13e0-4929-86fe-4efd60bc728f","year":2009},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.673689Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:1e1ba63a042094da76a5594f9a5a2ade407bc0045ecde7c91acd2e5dac9ddbbe","observation_id":"5173c05b-77e8-48cf-a41a-6fe49d1ca824","resolution":{"observed_at":"2026-08-14T11:28:04.677069Z","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":"2026-08-14T11:28:04.657608Z","title":"On the robustness of spatial modulation to I/Q imbalance,","venue":null,"work_id":"a217aee3-718b-400e-9747-b40bbade4e18","year":2017},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.679756Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:662d53bd92268c9825ca47ed019b251877651221be861c99e37877074cc444a7","observation_id":"fe623110-6a3a-48ac-9e68-0b7dc8f29425","resolution":{"observed_at":"2026-08-14T11:28:04.662386Z","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":"2026-08-14T11:28:04.641821Z","title":"Lifelong learning algorithms,","venue":null,"work_id":"edea39e2-d474-4b84-8dc0-b65db8f38aa2","year":1998},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.684486Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:7fbcae760da8d9453a98ba5bab38f1b194322ecd8d4ac52b143aa5e0e0497b23","observation_id":"8c0ab3ec-eeb1-45e0-9c9b-badcf25fcbd1","resolution":{"observed_at":"2026-08-14T11:28:04.647428Z","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":"1801.08930","last_updated":"2018-01-26T18:47:02Z","snapshot_observed_at":"2026-08-14T19:51:37.471631Z","submitted_at":"2018-01-26T18:47:02Z","title":"Recasting Gradient-Based Meta-Learning as Hierarchical Bayes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.08930","snapshot_observed_at":"2026-08-14T11:28:03.690421Z","title":"Recasting gradient-based meta-learning as hierarchical bayes,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.690421Z"},"links":{"cited_paper":"/paper/1801.08930","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:c4a91bc2892c3f334f6f9e3da9017914bf815575dca0e2e703186cb427cf149c","observation_id":"c456f85c-1ba3-4169-aa7b-813c51a0cdfc","resolution":{"observed_at":"2026-08-14T11:28:03.690421Z","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":"2026-08-14T11:28:04.625939Z","title":"From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Sys- tems,","venue":null,"work_id":"d335561b-bf55-4c6e-93ba-98cf9318de8a","year":2020},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.696695Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:c722d6c2922884842ea2630e23ed240ffd2623a9a6a91d0f2a29a2642df4f956","observation_id":"f3571146-5b45-47cb-b694-3cd2c09a565c","resolution":{"observed_at":"2026-08-14T11:28:04.630861Z","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":"2026-08-14T11:28:04.610425Z","title":"Matching networks for one shot learning,","venue":null,"work_id":"972a9f70-cb3b-45a1-8adf-8bcae985c8de","year":2016},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.701834Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:11a993903511a3e62770cddd55ebe466f05991be0f3d48db3e268c81c14e1375","observation_id":"ac39ed02-438f-4acf-8e5e-cc9314edec16","resolution":{"observed_at":"2026-08-14T11:28:04.615501Z","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":"1703.03400","last_updated":"2017-07-18T16:45:29Z","snapshot_observed_at":"2026-08-15T14:31:49.004808Z","submitted_at":"2017-03-09T18:58:03Z","title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.03400","snapshot_observed_at":"2026-08-14T11:28:03.706850Z","title":"Model-agnostic meta-learning for fast adaptation of deep networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.706850Z"},"links":{"cited_paper":"/paper/1703.03400","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:dfdd05402977b8fd0ebe914aafc8340f5bbbcc227dddc3041876ed770431782d","observation_id":"2cd0e0bf-6bf2-432e-9e1b-3d78a2a91ae7","resolution":{"observed_at":"2026-08-14T11:28:03.706850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.02999","last_updated":"2018-10-22T16:11:14Z","snapshot_observed_at":"2026-08-14T19:38:16.450214Z","submitted_at":"2018-03-08T08:29:38Z","title":"On First-Order Meta-Learning Algorithms","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.02999","snapshot_observed_at":"2026-08-14T11:28:03.712266Z","title":"On first-order meta-learning algorithms,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.712266Z"},"links":{"cited_paper":"/paper/1803.02999","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:ca4a6650d40de0ef83758341f61aceb3386d52ae2a48ccc06c58e8e2e0440717","observation_id":"cb473c57-f912-48cc-84f7-4180c24f6cdd","resolution":{"observed_at":"2026-08-14T11:28:03.712266Z","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":"2026-08-14T11:28:04.594057Z","title":"Fast context adaptation via meta-learning,","venue":null,"work_id":"660a62b0-8172-427d-869c-06c875053867","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.717398Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:91de81c9e62206380b7f90c967d2ce759de8f637d957a50c25a5f0701603d102","observation_id":"f1afb8ed-81c6-4cda-9ed8-5abd27535513","resolution":{"observed_at":"2026-08-14T11:28:04.599815Z","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":"1902.08438","last_updated":"2019-07-03T20:50:53Z","snapshot_observed_at":"2026-08-14T17:12:45.580687Z","submitted_at":"2019-02-22T11:20:42Z","title":"Online Meta-Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.08438","snapshot_observed_at":"2026-08-14T11:28:03.722587Z","title":"Online meta- learning,","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.722587Z"},"links":{"cited_paper":"/paper/1902.08438","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:ae7516105e3ced7aed48c5eead2401177957cb574806ba407256e6bf65ea1b84","observation_id":"fddd5d6d-6bb8-4c12-a2df-bff5084e0965","resolution":{"observed_at":"2026-08-14T11:28:03.722587Z","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":"2026-08-14T11:28:04.577937Z","title":"Mind: Model independent neural decoder,","venue":null,"work_id":"b50587d9-3395-4c8f-85fe-a602e508d196","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.727681Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:dfabaad0e53011fe53894110c6916e6bfc6ae0ffa4fed1ed739893bb6aae926d","observation_id":"d35df04b-c846-4000-b47a-6572ef4d4826","resolution":{"observed_at":"2026-08-14T11:28:04.583145Z","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":"2026-08-14T11:28:04.561540Z","title":"RoemNet: Robust meta learning based channel estimation in OFDM systems,","venue":null,"work_id":"4e4aafb1-e591-496a-8dd3-edd988d7b2db","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.732722Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:ba10b789c4c772f3f44e61d8ad7f50ba49e4f4e01fd9a45a0730f031e31006f6","observation_id":"80913b9e-8f93-42c4-8e0f-7eb33a9e9946","resolution":{"observed_at":"2026-08-14T11:28:04.566513Z","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":"1912.12265","last_updated":"2020-09-07T11:43:30Z","snapshot_observed_at":"2026-08-10T14:53:24.060044Z","submitted_at":"2019-12-27T17:59:45Z","title":"Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems","version":4},"cited_work":{"arxiv_id":"1912.12265","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.12265","snapshot_observed_at":"2026-08-14T11:28:04.128973Z","title":"Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems","venue":"cs.IT","work_id":"759ae067-0e78-4504-89ed-ffd8586207f1","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.737654Z"},"links":{"cited_paper":"/paper/1912.12265","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:1cc8f48b5b649db7ff1fe297928600d979b789e96d010d8aee23d2388163048c","observation_id":"302dd0da-93e5-41a6-91dd-7ecdd074524c","resolution":{"observed_at":"2026-08-14T11:28:04.134427Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:28:04.544963Z","title":"Meta-learning to communicate: Fast end-to-end training for fading channels,","venue":null,"work_id":"1f0c4ef1-c757-4e15-91f8-c2658cb532b7","year":2020},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.742912Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:b0d2aeba4cecef872d213db2f9c7b72854b71564a8329447519ba4129f4ec6c0","observation_id":"986a8307-82bb-40cf-97c4-5dda73ee6f5e","resolution":{"observed_at":"2026-08-14T11:28:04.550433Z","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":"2003.01479","last_updated":"2020-03-03T12:25:53Z","snapshot_observed_at":"2026-07-06T09:01:49.982614Z","submitted_at":"2020-03-03T12:25:53Z","title":"End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning","version":1},"cited_work":{"arxiv_id":"2003.01479","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.01479","snapshot_observed_at":"2026-08-14T11:28:04.105640Z","title":"End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning","venue":"eess.SP","work_id":"86cf421e-862d-4eb6-8cbe-05c2a5612149","year":2020},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.747461Z"},"links":{"cited_paper":"/paper/2003.01479","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:6b46f5f32d8d1771bb4b2237b7122d85461d5b6fa31424167ffbb7d2429ab164","observation_id":"7da58878-e6fc-43b5-af26-3ef064d9e250","resolution":{"observed_at":"2026-08-14T11:28:04.111565Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2002.02750","last_updated":"2020-02-10T07:45:45Z","snapshot_observed_at":"2026-08-04T18:19:28.149827Z","submitted_at":"2020-02-07T13:03:22Z","title":"Deep HyperNetwork-Based MIMO Detection","version":2},"cited_work":{"arxiv_id":"2002.02750","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.02750","snapshot_observed_at":"2026-08-14T11:28:04.082352Z","title":"Deep HyperNetwork-Based MIMO Detection","venue":"cs.IT","work_id":"7055619d-0a89-4dab-a11c-47c4e3be7080","year":2020},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.752486Z"},"links":{"cited_paper":"/paper/2002.02750","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:8e242b5bf62e7fca6fc954c86df84a51d9c412a245399eba10a76d33ea922062","observation_id":"609723b2-75dd-4dc3-bdda-3b81b553075d","resolution":{"observed_at":"2026-08-14T11:28:04.088254Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:28:04.528107Z","title":"M-QAM-OFDM system performance in the presence of a nonlinear amplifier and phase noise,","venue":null,"work_id":"22f16c23-16e8-406b-b226-eaf4802c0120","year":2002},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.757660Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:8645ade71ad3ece45cb838cefb02a8d333814e3d4f5df405c3db60f657732f26","observation_id":"97e6830a-c0ea-4d79-80f5-507da9ee4fcb","resolution":{"observed_at":"2026-08-14T11:28:04.533390Z","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":"2026-08-14T11:28:04.509507Z","title":"On the performance of standard- independent I/Q imbalance compensation in OFDM direct-conversion receivers,","venue":null,"work_id":"4a2ac482-f303-4aa3-afb4-f880f4690d8e","year":2005},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.762755Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:d365840e36df7c74cccfafd10831d1676cc826d1bc3dee290239fa7411ca2b89","observation_id":"aaf166ae-3a5c-487c-8c5b-5bbd3fac1aac","resolution":{"observed_at":"2026-08-14T11:28:04.515256Z","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":"2026-08-14T11:28:04.492338Z","title":"Joint adaptive compensation of transmitter and receiver IQ imbalance under carrier frequency offset in OFDM- based systems,","venue":null,"work_id":"28376125-fbbf-48a2-8f26-62911ec491a1","year":2007},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.767437Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:2ede2e7eb4a4ad87c675a10d9a7e5b7ecce87b67c5894240e01622c348e032b2","observation_id":"8b21fb10-56d5-47fd-befd-d4d68e432e7b","resolution":{"observed_at":"2026-08-14T11:28:04.498029Z","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":"2026-08-14T11:28:04.476068Z","title":null,"venue":null,"work_id":"7f097e78-061f-4f2c-99fd-810c40e88e8e","year":2006},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.772733Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:21945e833ff76eb4f8a01b65d22b1960471391d175a195611bc234b3c8bbab31","observation_id":"6dbd9237-5506-4fc4-9f94-4dd0b7c95fbb","resolution":{"observed_at":"2026-08-14T11:28:04.481159Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-14T11:28:04.459621Z","title":"A brief introduction to machine learning for engineers,","venue":null,"work_id":"35f63abd-30e1-41ff-9dec-6c4b1c2b7206","year":2018},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.777641Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:e0852fa3e0970bcf4583eb523e19f73222758df9163b1edd2f9b71220091eec8","observation_id":"101c7cf8-c42d-4fad-8c6f-19843eedaf4f","resolution":{"observed_at":"2026-08-14T11:28:04.465215Z","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":"2026-08-14T11:28:03.782308Z","title":"Goodfellow, Y","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.782308Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:91760456e95b65f612c0437b6b46dce4d951fa5b3669216250cbfb06951dbd2a","observation_id":"7e38c8f1-67d6-442d-baab-87a978884d98","resolution":{"observed_at":"2026-08-14T11:28:03.782308Z","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":"2026-08-14T11:28:04.433828Z","title":"Koller and N","venue":null,"work_id":"02f9c1cc-40d8-4514-ac6a-5b8fd0414f1a","year":2009},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.786868Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:193bdc65b11f2ff730dac2028d5f1a5681c9d78f4b25ff3c7917be79ec7d0ded","observation_id":"216ceed5-f2aa-4531-96c0-0e1269487442","resolution":{"observed_at":"2026-08-14T11:28:04.438644Z","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":"2026-08-14T11:28:04.417700Z","title":"Amortized bayesian meta-learning,","venue":null,"work_id":"a7da66ba-5205-47ce-bfc3-00a84ab52ce4","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.791650Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:ae9b1943bdca006d636d3766de726073f548afd4e8205805eaf0c0ffb8458cd3","observation_id":"ee6f3df6-e28c-413f-b745-6c50eef3913d","resolution":{"observed_at":"2026-08-14T11:28:04.423073Z","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":"2026-08-14T11:28:04.401757Z","title":"Meta- learning probabilistic inference for prediction,","venue":null,"work_id":"72691225-04b2-43db-a62b-7767626181e4","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.796353Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:1cdf61f3d21c9bcdd87c315ae608f9c6fb28bedd2eb8a3ef13a78deb4f9661ef","observation_id":"e5ccdf87-faee-4626-9b7f-3269241af681","resolution":{"observed_at":"2026-08-14T11:28:04.406429Z","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":"1907.11864","last_updated":"2019-10-30T04:32:23Z","snapshot_observed_at":"2026-08-14T16:01:45.013351Z","submitted_at":"2019-07-27T07:18:50Z","title":"Uncertainty in Model-Agnostic Meta-Learning using Variational Inference","version":2},"cited_work":{"arxiv_id":"1907.11864","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.11864","snapshot_observed_at":"2026-08-14T11:28:04.059513Z","title":"Uncertainty in Model-Agnostic Meta-Learning using Variational Inference","venue":"cs.LG","work_id":"5d80308a-5aab-4122-b750-4dd93080049a","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.801247Z"},"links":{"cited_paper":"/paper/1907.11864","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:c63a0e651367de4fead954b0168f5a69e0ec4ec0d883e8be501e57300dcb6fa1","observation_id":"a77df4ba-06bc-4532-a11a-b2db2c3c18db","resolution":{"observed_at":"2026-08-14T11:28:04.064881Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"1810.09502","last_updated":"2019-03-05T23:11:02Z","snapshot_observed_at":"2026-08-14T18:10:59.354744Z","submitted_at":"2018-10-22T18:48:16Z","title":"How to train your MAML","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.09502","snapshot_observed_at":"2026-08-14T11:28:03.806322Z","title":"How to train your MAML,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.806322Z"},"links":{"cited_paper":"/paper/1810.09502","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:1be62557e036776b48094a8f9f129ed7f77efd96a839f86f79d062db5b157f62","observation_id":"0c1c3e04-53cd-42d9-b2ad-e46ce42c26c5","resolution":{"observed_at":"2026-08-14T11:28:03.806322Z","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":"2026-08-14T11:28:04.385951Z","title":"Efficient backprop,","venue":null,"work_id":"79a769a1-c7c3-4843-9f06-a1be15b4753d","year":2012},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.811684Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:09baf08dc44f8daffb413d7e154264773d7ed9a9181af07980f855fbd9de9d06","observation_id":"f425061d-e812-47e7-a61e-e90a4f43bc76","resolution":{"observed_at":"2026-08-14T11:28:04.390593Z","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":"2026-08-14T11:28:04.370120Z","title":"Accelerated conjugate gradient algorithm with finite differ- ence Hessian/vector product approximation for unconstrained optimiza- tion,","venue":null,"work_id":"167ef487-9b64-4363-8b60-6be77f1a2244","year":2009},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.816294Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:04f586e1ac46a51a60511bd76d69f1b3b2ddcdbf2c13fc7628cc8f84fdf56383","observation_id":"01d570c2-672c-4573-9839-9f140f59746e","resolution":{"observed_at":"2026-08-14T11:28:04.375185Z","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":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-12T17:13:46.394331Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-14T11:28:03.821102Z","title":"Explaining and harnessing adversarial examples,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.821102Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:2a3a8b838e190a6d282f3b8a6b62bb098cd1bea29b052902ec9d603bd4cc23e4","observation_id":"46ee5929-c2f8-4615-935a-44e5c3978755","resolution":{"observed_at":"2026-08-14T11:28:03.821102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04977","last_updated":"2021-03-09T03:03:49Z","snapshot_observed_at":"2026-08-13T11:40:49.533339Z","submitted_at":"2019-12-10T20:55:41Z","title":"Advances and Open Problems in Federated Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04977","snapshot_observed_at":"2026-08-14T11:28:03.826726Z","title":"Advances and open problems in federated learning,","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.826726Z"},"links":{"cited_paper":"/paper/1912.04977","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:a09d4f952379d9df8e75253de5c05e78244078c593ac9755e42eda3e6ed1eb98","observation_id":"953db76f-29ff-43fb-96dc-65ece2e95d1c","resolution":{"observed_at":"2026-08-14T11:28:03.826726Z","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":"2026-08-14T11:28:04.354308Z","title":"Online learning and online convex optimization,","venue":null,"work_id":"6a8749ba-9353-4d62-abdf-aa9ee58ae889","year":2012},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.831778Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:36564339779cadeea72cd40cddc79bf2286fd9ac97393c9f351b68d6a9a378f9","observation_id":"f9cecc05-41b8-49b4-aa86-1580433f9266","resolution":{"observed_at":"2026-08-14T11:28:04.359475Z","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":"2026-08-14T11:28:04.337702Z","title":"Approximation to bayes risk in repeated play,","venue":null,"work_id":"29aff65f-d087-49da-9c42-e6c552b5e202","year":1957},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.836330Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:f04ed8c53e5661ad512f5956ce3b842bac468e4b450e07170497949d476e11fe","observation_id":"503b0407-a2c8-49dd-a11e-bf7fb0f36087","resolution":{"observed_at":"2026-08-14T11:28:04.343035Z","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":"2026-08-14T11:28:04.320288Z","title":"Adaptive pilot pattern for OFDM systems,","venue":null,"work_id":"cb0be088-a6ba-4788-bf5d-54f432a62c91","year":2004},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.840962Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:ad4801a59972c29856fb60cc5ad686621eb39471c96def8bd6fdc5983abc6503","observation_id":"59ab53bb-b6e2-4994-8ffa-5df18ed93515","resolution":{"observed_at":"2026-08-14T11:28:04.325486Z","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":"2026-08-14T11:28:04.302417Z","title":"A primer on 3GPP narrowband Internet of Things,","venue":null,"work_id":"10100121-da7a-4748-ba36-e0b45f70c79c","year":2017},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.846290Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:94d0e5530d3caf6bc8f26ec4ecaff1714c420fef23b80da51b152dfadfbf32e3","observation_id":"4daaca92-5adb-4b01-8e67-e80da51c7f9c","resolution":{"observed_at":"2026-08-14T11:28:04.308242Z","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":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-14T11:28:03.851466Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.851466Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:e2a048e1757dd55780e9fe1ff61c661712baf4080df0bb68ad5afda3b3bc6fa2","observation_id":"244460a0-4db7-4baf-8dad-e29cf7021550","resolution":{"observed_at":"2026-08-14T11:28:03.851466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.07628","last_updated":"2017-12-20T18:34:08Z","snapshot_observed_at":"2026-08-16T07:35:00.867452Z","submitted_at":"2017-12-20T18:34:08Z","title":"Improving Generalization Performance by Switching from Adam to SGD","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.07628","snapshot_observed_at":"2026-08-14T11:28:03.856427Z","title":"Improving generalization performance by switching from ADAM to SGD,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.856427Z"},"links":{"cited_paper":"/paper/1712.07628","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:ee0c2a62b6515c15ba18cedf722a194627e6fc69286e4cb9081f33b48b501a8d","observation_id":"5296617e-c473-4f6c-932c-75d9c36d352d","resolution":{"observed_at":"2026-08-14T11:28:03.856427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.01244","last_updated":"2019-05-20T10:29:06Z","snapshot_observed_at":"2026-08-16T06:31:22.501626Z","submitted_at":"2017-11-03T17:14:14Z","title":"Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.01244","snapshot_observed_at":"2026-08-14T11:28:03.861623Z","title":"Meta-learning by adjusting priors based on extended PAC-Bayes theory,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.861623Z"},"links":{"cited_paper":"/paper/1711.01244","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:f2d52c8edd48ad4fecc4c94e6971b300fe052f10c311ed269c7d7cca139c6601","observation_id":"e5106082-a685-4421-a870-9f3768f87ed3","resolution":{"observed_at":"2026-08-14T11:28:03.861623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.05182","last_updated":"2020-01-21T10:33:16Z","snapshot_observed_at":"2026-08-14T16:06:45.582957Z","submitted_at":"2019-07-11T13:26:45Z","title":"Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs Cloud Detection and Learning","version":3},"cited_work":{"arxiv_id":"1907.05182","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.05182","snapshot_observed_at":"2026-08-14T11:28:03.927706Z","title":"Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs Cloud Detection and Learning","venue":"cs.IT","work_id":"a7af0981-0100-4e3e-9467-a2a452608ae4","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.866796Z"},"links":{"cited_paper":"/paper/1907.05182","citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:10aab256fd3688fdc8534debbdbc3ecb095a75a2a0ae5581347f0d84a77efbbe","observation_id":"0bec55f3-4a89-40e5-ad6c-44566488585d","resolution":{"observed_at":"2026-08-14T11:28:03.935572Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:28:04.285733Z","title":"Online supervised learning for traffic load prediction in framed-ALOHA networks,","venue":null,"work_id":"eff9db99-4dd4-4f1a-b3a1-09d24a573aab","year":2019},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.871858Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:063afb6780261b907f340f4f61a8e4e10c7b283218fa464af021051a62be76f6","observation_id":"fa0feb4c-6d2a-4179-aa33-5d6769ea2729","resolution":{"observed_at":"2026-08-14T11:28:04.290928Z","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":"2026-08-14T11:28:04.268963Z","title":"Compressive sensing with prior support quality information and application to massive MIMO channel estima- tion with temporal correlation,","venue":null,"work_id":"4945827c-4a97-4d10-8c35-db58ef552ec2","year":2015},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.876640Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:151e68eaef99d352575a220be180624d96f1f1758c4a802660f9c951f2b71cd0","observation_id":"15ebed41-720e-4d11-95ba-d09af9d17f03","resolution":{"observed_at":"2026-08-14T11:28:04.274036Z","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":"2026-08-14T11:28:04.252676Z","title":"Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO,","venue":null,"work_id":"15912f20-4cc0-4e65-a832-cc9ed73e29b3","year":2015},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.881885Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:c70720ea07b32611f9b08f94c7198f57d2cdeeb111db51afb008670efcc9faf2","observation_id":"9dce59ac-d8d0-4e19-99bc-edf2d6bf3b83","resolution":{"observed_at":"2026-08-14T11:28:04.257697Z","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":"2026-08-14T11:28:04.236091Z","title":"What every computer scientist should know about floating-point arithmetic,","venue":null,"work_id":"9eaabe9f-74f3-4a0f-81c4-ccce012c8d6d","year":1991},"citing_paper":{"arxiv_id":"1908.09049","last_updated":"2020-12-04T03:28:31Z","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T11:28:03.886618Z"},"links":{"citing_paper":"/paper/1908.09049"},"observation_digest":"sha256:7d82127f3952b5075dac8d158ea3cd53d62ecd4cd2aca9cbd9b890ae1fdd7799","observation_id":"27983543-db30-43a0-8257-accdd0649476","resolution":{"observed_at":"2026-08-14T11:28:04.241460Z","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":"1908.09049","last_updated":"2020-12-04T03:28:31Z","latest_version":3,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-16T04:39:59.827805Z","submitted_at":"2019-08-23T23:27:16Z","title":"Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":6,"verified_fuzzy":33},"total_outbound_references":51},"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 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:1908.09049."}