{"as_of":"2026-08-08T23:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23f8b4fedc7f2be7b0e0cf9d2dad972dcfd79aa42bbac6e3dde4e33b3a824784","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T19:45:13.709800Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2502.10027/citation-record","integrity":"/paper/2502.10027/integrity","json":"/paper/2502.10027/citation-record.json","paper":"/paper/2502.10027"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:45:14.920476Z","title":"Multi-Task Learning for Resource Allocation in Wireless Networks of Dynamic Dimensionality,","venue":null,"work_id":"1c85b7ee-2530-43e3-93ce-0ad4717b209b","year":2024},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.135368Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:fddd5106390f210596c9f105743f210c4238e1791beff558d1955f7c95f069dc","observation_id":"a9a61772-647e-4687-8699-32b77515050a","resolution":{"observed_at":"2026-08-07T19:45:14.924405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.909599Z","title":"Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?","venue":null,"work_id":"2954599c-357d-45a9-984d-3b6cf298a00d","year":2019},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.139994Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:012b24b1ce4a375758b43863b23a70a03ae964496e53644be7717f1136048ff5","observation_id":"174aa713-0301-4e6c-a194-71c975473bc5","resolution":{"observed_at":"2026-08-07T19:45:14.913387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.899184Z","title":"Multiple access in the era of distributed computing and edge intelligence,","venue":null,"work_id":"0ca8cdb7-cc1e-4921-8a44-4a13406b2cb9","year":2024},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.144024Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:ebc27a6a776073e6b1c4d676a0543ea68a393d2fef26824f5814593bafc50944","observation_id":"83b73eec-c24c-4048-9280-bf2edc6eb65d","resolution":{"observed_at":"2026-08-07T19:45:14.902658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.887437Z","title":"Model-Based Deep Learning,","venue":null,"work_id":"7422d0fd-3cb0-4803-8370-0a4cf8443521","year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.148263Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:f44e04af82eda4279c5a93ac89c23076d1e8628a613f269ef6a7ca5b23779e10","observation_id":"380de927-a1d5-4b6a-abf5-71d3e2337ddf","resolution":{"observed_at":"2026-08-07T19:45:14.891659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.821372Z","title":"Predictive quality of service: The next frontier for fully autonomous systems,","venue":null,"work_id":"88869cb8-0b32-4355-aca9-000c3086ff54","year":2021},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.152269Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:6d222355ac6db599ae6fc3d6e0195a75c92af07ff45b9c53755993e24c5fb799","observation_id":"0d15ab62-1f07-4076-80cd-ac63a436e631","resolution":{"observed_at":"2026-08-07T19:45:14.859836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07359","last_updated":"2023-07-14T14:04:01Z","snapshot_observed_at":"2026-07-06T15:54:05.111212Z","submitted_at":"2023-07-14T14:04:01Z","title":"From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07359","snapshot_observed_at":"2026-08-07T19:45:13.156744Z","title":"From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.156744Z"},"links":{"cited_paper":"/paper/2307.07359","citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:10b3e418dad1475c30a03e2eddfef2ba6816d41f6e4c84ca757b461d3828ab6f","observation_id":"2f1d5220-2c19-4034-baff-a4f362fd1eed","resolution":{"observed_at":"2026-08-07T19:45:13.156744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.09796","last_updated":"2020-09-10T19:31:04Z","snapshot_observed_at":"2026-07-06T09:57:23.086479Z","submitted_at":"2020-09-10T19:31:04Z","title":"Multi-Task Learning with Deep Neural Networks: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.09796","snapshot_observed_at":"2026-08-07T19:45:13.161312Z","title":"Multi-task learning with deep neural networks: A survey,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.161312Z"},"links":{"cited_paper":"/paper/2009.09796","citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:caa5d8b8e56e1e7d67f9a2bff6cb544a809d7868c612632e43c48ff42500ac96","observation_id":"d0e6b186-3548-4cac-b01d-664d268a03d3","resolution":{"observed_at":"2026-08-07T19:45:13.161312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.01239","last_updated":"2017-12-31T14:53:00Z","snapshot_observed_at":"2026-08-05T10:32:12.591894Z","submitted_at":"2017-11-03T17:07:51Z","title":"Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.01239","snapshot_observed_at":"2026-08-07T19:45:13.165658Z","title":"Routing networks: Adaptive selection of non-linear functions for multi-task learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.165658Z"},"links":{"cited_paper":"/paper/1711.01239","citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:1cea7fef8f4f381091396e20bd901e73575de3e20a1ee18acea4e248ee428653","observation_id":"268dc46a-7103-4c01-872e-dddc87332d44","resolution":{"observed_at":"2026-08-07T19:45:13.165658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:45:13.169786Z","title":"Multi-task reinforcement learning with soft modularization,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.169786Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:a49e4dd967c6d4194e6f839374a5515bd904516486fd6e75614674bbc7969241","observation_id":"41c3671a-e665-4c06-adbc-371e3babc206","resolution":{"observed_at":"2026-08-07T19:45:13.169786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.09791","last_updated":"2020-04-29T20:49:05Z","snapshot_observed_at":"2026-07-06T08:16:55.767797Z","submitted_at":"2019-08-26T16:46:23Z","title":"Once-for-All: Train One Network and Specialize it for Efficient Deployment","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.09791","snapshot_observed_at":"2026-08-07T19:45:13.173738Z","title":"Once-for-all: Train one network and specialize it for efficient deployment,","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.173738Z"},"links":{"cited_paper":"/paper/1908.09791","citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:2797c3230c5f415e67c2abd05e195ca6f7f4daaa05cfdb6c4a455b25b750e6eb","observation_id":"cf065fd0-e16c-4102-9f24-a7bbf6a711ea","resolution":{"observed_at":"2026-08-07T19:45:13.173738Z","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":"2026-08-07T19:45:14.712749Z","title":"Dynamic Neural Networks: A Survey,","venue":null,"work_id":"738b7c51-a9c2-403e-aed3-cadeb7af2a92","year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.177681Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:8991b7367ca22615088fa7f0ec66048f8d7d99b210119ec986a4ff446d37dcbe","observation_id":"ba51e558-6b32-4df6-9955-1d06b79253be","resolution":{"observed_at":"2026-08-07T19:45:14.756055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.08928","last_updated":"2018-12-21T03:36:48Z","snapshot_observed_at":"2026-08-02T06:18:15.521345Z","submitted_at":"2018-12-21T03:36:48Z","title":"Slimmable Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.08928","snapshot_observed_at":"2026-08-07T19:45:13.181411Z","title":"Slimmable neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.181411Z"},"links":{"cited_paper":"/paper/1812.08928","citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:4e6e63c853811c2e1491671aee9fc61d7e3c3c3ec4d046c24610f18ffcb92d65","observation_id":"b568a682-66ea-4704-9049-2635a47a6d5c","resolution":{"observed_at":"2026-08-07T19:45:13.181411Z","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":"2026-08-07T19:45:14.597815Z","title":"Learning to optimize: Training deep neural networks for wireless resource management,","venue":null,"work_id":"5a4fd384-659e-41a8-83a2-a665afc13036","year":2017},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.185453Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:2c0ebd3d42d6097e4528dfb84b7de6362cd81b2fa4a4b48bfab4be7d038a7e91","observation_id":"3b6e11b5-9488-463f-befe-506e241030d6","resolution":{"observed_at":"2026-08-07T19:45:14.643989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.523415Z","title":"Deep Learning for Distributed Optimization: Applications to Wireless Resource Management,","venue":null,"work_id":"807a6f5e-5140-47c5-9063-a58a3312b9dd","year":2019},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.189136Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:263bf134729fdc82e90c1ad3331293e7ff9035f398dc64802abdbf945e2bf28e","observation_id":"f3185893-46dc-47a6-8679-8ba8b14d97fe","resolution":{"observed_at":"2026-08-07T19:45:14.546727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.512482Z","title":"Intelligent Resource Allocation in Wireless Communications Systems,","venue":null,"work_id":"cd83e33a-1d6c-4934-8927-9c10c8ea32aa","year":2020},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.192597Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:a675a4d289574f650021fb675a045f2109425f902e85dd327f88c2f2df21b44e","observation_id":"cd126c36-56dc-4389-b577-bcd4c7e6b1e8","resolution":{"observed_at":"2026-08-07T19:45:14.516363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.501425Z","title":"Online Deep Neural Network for Optimization in Wireless Communications,","venue":null,"work_id":"b3b77a45-2837-4bb1-a4f5-4a0092c14fc4","year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.195997Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:8b2c80d808b982065b789bff2559e7423699823220ac2a9b04ae1596db5f1081","observation_id":"ca1f86c1-0501-45dd-b729-e985d1da25d9","resolution":{"observed_at":"2026-08-07T19:45:14.505453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.490736Z","title":"Intelligent Over-the-Air Computing Environ- ment,","venue":null,"work_id":"60e7e22f-d62c-4232-9980-9e7462421d72","year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.199305Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:9563d0ee04f819427367cd8498f6d6989c776b3ca16b9e31b352175160301506","observation_id":"b965328b-91ba-4b00-8c10-dee6e85c3a60","resolution":{"observed_at":"2026-08-07T19:45:14.495063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.480850Z","title":"Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs,","venue":null,"work_id":"3c459e91-cefc-4de2-8a5a-4090c63eb955","year":1987},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.202647Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:b5917373339093cef56c20b3d6951cb09c9e8a3944977c22ef0ca1ed29efe3db","observation_id":"6d73c21c-9e6e-4606-abce-0ab8170f4497","resolution":{"observed_at":"2026-08-07T19:45:14.484676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.470952Z","title":"Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks,","venue":null,"work_id":"7037cecc-626b-4868-b2fb-2d7bcf29d6b0","year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.206315Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:75ba2b89d93a031bd1dd876c84b5e884d84d7cfa3c729e647c8422ae2d85a546","observation_id":"3a2765e1-531b-45d8-bdf7-e52009cea10b","resolution":{"observed_at":"2026-08-07T19:45:14.474295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.460613Z","title":"LoRa- RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks,","venue":null,"work_id":"7b948547-7e27-4d9b-98b0-e7f9e2fb4913","year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.209566Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:93d5b834dbc103288bb2d29b89e60b43ca3d963b25d755819445dffb2e594417","observation_id":"a0a34203-0ecf-4781-8ca6-04025954a315","resolution":{"observed_at":"2026-08-07T19:45:14.464534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.449251Z","title":"Resource Management in Wireless Networks via Multi-Agent Deep Reinforce- ment Learning,","venue":null,"work_id":"4eb0f858-5117-439a-b22c-609dcafc4ad5","year":2021},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.225577Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:27c328cfa28bed5f71bb94c5f6a1b5f5882a50893ed0373356fc0e1a0477ba13","observation_id":"5228d5fd-e3b5-4024-95eb-43cc81c75115","resolution":{"observed_at":"2026-08-07T19:45:14.453052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.438835Z","title":"A Deep Learning based Resource Allocation Algorithm for Variable Dimensions in D2D-Enabled Cellular Networks,","venue":null,"work_id":"42f68684-5fd0-450f-9aed-938d5d47615f","year":2020},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.243414Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:eb9c9104b7b735f1649e93fabd3f69993d4acf33ee0f210ab22aaf51efe78fef","observation_id":"a8ebba51-1b46-4ab3-bddc-ac75f56af8f7","resolution":{"observed_at":"2026-08-07T19:45:14.442506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.428361Z","title":"An Overview on the Application of Graph Neural Networks in Wireless Networks,","venue":null,"work_id":"c6deb39c-06ab-41c2-a3e5-3641b24d97b1","year":2021},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.282193Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:ced61afd177c706bc1c6e90d21519ef0b02b61dd259219c3c580804c7057e0be","observation_id":"15838e24-3e17-45de-96d9-d8a4416c6319","resolution":{"observed_at":"2026-08-07T19:45:14.432454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.417131Z","title":"Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks,","venue":null,"work_id":"e122e050-2b7e-43b0-8398-54e43d49660c","year":2020},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.355789Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:b12264d964f5263f253fe0dc912e032d3b4640408a6650d92f5755ab2152747c","observation_id":"3cce58ab-fc95-463b-9ab0-d9a17a1cd2f7","resolution":{"observed_at":"2026-08-07T19:45:14.420747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.406888Z","title":"Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theo- retical Analysis,","venue":null,"work_id":"407ad451-d7ca-425a-81e9-cfa926621ad2","year":2021},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.458738Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:01cacf9e323b39f5d9dbd1a1facef7d40723d5c2640f1b8ea092d9e5efe69a33","observation_id":"39858fe7-8adf-4820-9bdc-3f8e611ebfac","resolution":{"observed_at":"2026-08-07T19:45:14.410689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.337722Z","title":"Learning Decentralized Wireless Resource Allocations With Graph Neural Networks,","venue":null,"work_id":"175dc520-1df5-4ac0-9ec1-df5ac2d08580","year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.499384Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:7fd9e52bca4627cc8d4469b214ab6e9f6d0181b7fab3f708ff3193a8a4215591","observation_id":"91fb09f2-b88b-4c9c-a69d-a073cf7a7e4f","resolution":{"observed_at":"2026-08-07T19:45:14.382812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.251806Z","title":"Learning Resilient Radio Resource Management Policies With Graph Neural Networks,","venue":null,"work_id":"ae17161f-41ac-4d0e-87b9-f597174abc6a","year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.629399Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:ca6af5773ecdd029381e67e8ff6ff596645795aaa7cdb0b7f49fb96278d82d67","observation_id":"742ad696-efc7-4336-b7e8-328cbf12bd0d","resolution":{"observed_at":"2026-08-07T19:45:14.285947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.161956Z","title":"Learning power allocation for multi-cell-multi-user systems with heterogeneous graph neural networks,","venue":null,"work_id":"a846e892-bce2-4138-8048-5b10e1555d01","year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.653976Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:76c4cfbcaa43302e86dca99f33894f0c0f7eecd37e7b0888ad14136ad71b9558","observation_id":"47b8f7d7-679b-44d7-bcac-7f1bb7572ce1","resolution":{"observed_at":"2026-08-07T19:45:14.208462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02016","last_updated":"2023-02-27T20:19:18Z","snapshot_observed_at":"2026-08-08T20:55:59.323455Z","submitted_at":"2022-10-05T04:09:38Z","title":"Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02016","snapshot_observed_at":"2026-08-07T19:45:13.657796Z","title":"Multi-task self-supervised graph neural networks enable stronger task generalization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.657796Z"},"links":{"cited_paper":"/paper/2210.02016","citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:27b34de56863cef74430c03126179778cccf9b7ff9e2a768c6373c71957d54af","observation_id":"a03cd253-54f5-4fca-9a32-bf0bf75f3fe5","resolution":{"observed_at":"2026-08-07T19:45:13.657796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:45:13.661348Z","title":"All in One: Multi-Task Prompting for Graph Neural Networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.661348Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:dd20b1eecb20eeb559adf98c27d9b34d857c86e036fb113ce7d291eb9d07e0ac","observation_id":"64937b30-8456-4c58-bf8f-16a2ce7e7e5f","resolution":{"observed_at":"2026-08-07T19:45:13.661348Z","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":"2026-08-07T19:45:14.110101Z","title":"Evolutionary Multitasking With Dynamic Resource Allocating Strategy,","venue":null,"work_id":"ef5fb8fc-b9d4-4080-a929-1b9cc2ed3115","year":2019},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.664628Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:764f415ed5420fbe489bc83557ef69fbf76daa42687447ddba8003a72013817a","observation_id":"201defb6-29b5-473e-94cf-039f896bf178","resolution":{"observed_at":"2026-08-07T19:45:14.114650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.098780Z","title":"Towards Generalized Resource Allocation on Evolutionary Multitasking for Multi-Objective Optimization,","venue":null,"work_id":"ea2a145a-3473-404c-8cbd-01c59717e7d7","year":2021},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.667970Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:b63b242ad22632cc8c0a1be19dfe31598914b564d442d7f5542d0f1adeebb8b4","observation_id":"315e7e9f-60c4-46dc-9c36-48ade7330840","resolution":{"observed_at":"2026-08-07T19:45:14.103013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.086111Z","title":"[a review on evolutionary multitask optimization: Trends and challenges],","venue":null,"work_id":"f07c3058-3d7b-4e3f-8e7e-ce67fc3177a9","year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.671090Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:6e0201a8e38fbb146bea2fa06473af4fa35761d3d016685bb55bd5eacd26261c","observation_id":"4c0a5a4b-0535-4f86-a75b-2245252127ff","resolution":{"observed_at":"2026-08-07T19:45:14.090308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.073202Z","title":"Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Fea- ture],","venue":null,"work_id":"ace491b7-bdab-4f31-af0b-b2d028184d10","year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.674976Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:6dfaa86eb402e94d91c27ded332b6a516012f5a735c555bd75584911faffa92b","observation_id":"252da8fe-da8c-4b5c-b95d-092cfcfa04de","resolution":{"observed_at":"2026-08-07T19:45:14.077353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.060158Z","title":"Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer,","venue":null,"work_id":"28ec463d-2d59-47e3-8fac-097a47f63a28","year":2024},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.678267Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:a5a250b5d45960f6336a96b82a9040c69a3da22faf61ba816088452529a7bb80","observation_id":"36125a92-71d7-4362-bab7-d42563f0edc8","resolution":{"observed_at":"2026-08-07T19:45:14.064555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.048408Z","title":"Un- derstanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,","venue":null,"work_id":"d46eac0c-5aa3-4f62-9448-de12a6fcef3b","year":2023},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.682148Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:8549e09861e2cb5eb229433d7ad495df77d97603d0703d16e8540852428e7ede","observation_id":"02522baa-2ed9-4cfc-8f45-c0b5f195664c","resolution":{"observed_at":"2026-08-07T19:45:14.052716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.036582Z","title":"Learning to detect,","venue":null,"work_id":"8dc23fd3-5f2e-4dc8-8705-073fedf7aeb8","year":2019},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.685560Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:ca224fc3f8bc7f2717c90a79eecc7a2ba4e4544ac709b420652a25dcdb8c22bc","observation_id":"ec2b40f6-282d-4aad-a9ec-9b3459f282eb","resolution":{"observed_at":"2026-08-07T19:45:14.040492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:14.024385Z","title":"Optnet: Differentiable optimization as a layer in neural networks,","venue":null,"work_id":"dc74f0d2-6220-4f8a-928e-0f6e76409317","year":2017},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.689033Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:c6adf54dcaf8ca48c63c45d8b2f08d5fc28fae426ff87f3541244d4c79e085a3","observation_id":"820a37a9-d4f7-47cb-bf9a-453bb07b0a5e","resolution":{"observed_at":"2026-08-07T19:45:14.028562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:13.692320Z","title":"Boyd and L","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.692320Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:96571b31d8dcc4002a3848f0a7e010f534b72840b07148a4b5a01e617b4a7504","observation_id":"18b7b235-2127-4e18-909a-1db1869fb371","resolution":{"observed_at":"2026-08-07T19:45:13.692320Z","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":"2026-08-07T19:45:14.005673Z","title":"Confi- dence Aware Deep Learning Driven Wireless Resource Allocation in Shared Spectrum Bands,","venue":null,"work_id":"02287a9e-5725-4862-8725-89a3fdeb806c","year":2022},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.696113Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:1f057a5d163a87c3e5df34740f4f4495b5a6533ff325bc54d64522bfcb358351","observation_id":"6f6e2026-fd2a-40f8-a310-9dc4b9c9b8d3","resolution":{"observed_at":"2026-08-07T19:45:14.010101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:13.959854Z","title":"Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective,","venue":null,"work_id":"57cca911-493d-416d-ad3b-63bbf36a2161","year":2018},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.699574Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:fec64fa999c2d5b0c7e9bbd9c34f8ccf184bab46ea137647eb86d6633f2f1579","observation_id":"f1548fc2-cf06-4337-ad80-eadedc566a11","resolution":{"observed_at":"2026-08-07T19:45:13.981855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:13.703090Z","title":"6g wireless networks: Vision, requirements, architecture, and key technologies,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.703090Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:67682a32d5824066a4ceca8d8c73abf53473f7838f0156ea9b58df0c49aeb3e7","observation_id":"9ed58c42-73d0-43cc-8ce0-3834bb124f3f","resolution":{"observed_at":"2026-08-07T19:45:13.703090Z","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":"2026-08-07T19:45:13.897829Z","title":"A review of Wi-Fi 6: The revolution of 6th generation Wi-Fi technology,","venue":null,"work_id":"9cf0b9ab-a880-432d-b18f-1096b05b0201","year":2020},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.706276Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:9eeeca155783f8afd95d8cbf91f9a13e240d9428cde55aeba7f3171f61c26016","observation_id":"a3ddbd7d-801f-4641-a86a-310b692f1881","resolution":{"observed_at":"2026-08-07T19:45:13.931135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T19:45:13.867961Z","title":"IEEE 802.11 be Wi-Fi 7: New challenges and opportunities,","venue":null,"work_id":"0b0ac0a8-7836-47d0-9521-501c89e37412","year":2020},"citing_paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:13.709800Z"},"links":{"citing_paper":"/paper/2502.10027"},"observation_digest":"sha256:39ace3337c44e13a0b63207ba689f38b366d8bcf7434add58794967b170d486b","observation_id":"89d594dd-be1f-4788-aa65-96fbced864f8","resolution":{"observed_at":"2026-08-07T19:45:13.872191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.10027","last_updated":"2025-02-14T09:13:33Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T03:12:42.749337Z","submitted_at":"2025-02-14T09:13:33Z","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":34},"total_outbound_references":44},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2502.10027."}