{"as_of":"2026-07-24T22:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d0780833970e02b69019ff119cc2998632f26e8adef9f6fb5963353dc8ed6f39","coverage":[{"denominator":6,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T18:47:17.525242Z","state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-24T06:31:00.690269+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/2605.27397/citation-record","integrity":"/paper/2605.27397/integrity","json":"/paper/2605.27397/citation-record.json","paper":"/paper/2605.27397"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T18:47:17.525242Z","title":"Computation resource management in mobile edge computing for healthcare using lyapunov-deep deterministic policy gradient,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.27397","last_updated":"2026-04-22T04:58:47Z","snapshot_observed_at":"2026-07-12T18:46:43.451878Z","submitted_at":"2026-04-22T04:58:47Z","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T18:47:17.525242Z"},"links":{"citing_paper":"/paper/2605.27397"},"observation_digest":"sha256:bb017526a25c5cad75004606fa30fd1c4299447a9343169244aa320caa77f23e","observation_id":"5d2189e8-5048-4d5c-97ea-7c6d17e52e06","resolution":{"observed_at":"2026-07-12T18:47:17.525242Z","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":"2026-07-12T18:47:17.525242Z","title":"Toward adaptive iot service balance in low-altitude economy: Multi-uav-aided bi-objective wireless data collection and wireless energy transfer,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.27397","last_updated":"2026-04-22T04:58:47Z","snapshot_observed_at":"2026-07-12T18:46:43.451878Z","submitted_at":"2026-04-22T04:58:47Z","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T18:47:17.525242Z"},"links":{"citing_paper":"/paper/2605.27397"},"observation_digest":"sha256:82873787744649f1b450aa168b1d16e34a8db61dfe100caf2399377499272684","observation_id":"560d718c-9c63-4a85-8259-379a1ebb55e6","resolution":{"observed_at":"2026-07-12T18:47:17.525242Z","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":"2026-07-12T18:47:17.525242Z","title":"Multi objective-adaptive equi- librium slime mould algorithm to improve the life expectancy in mobile wireless sensor network,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.27397","last_updated":"2026-04-22T04:58:47Z","snapshot_observed_at":"2026-07-12T18:46:43.451878Z","submitted_at":"2026-04-22T04:58:47Z","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T18:47:17.525242Z"},"links":{"citing_paper":"/paper/2605.27397"},"observation_digest":"sha256:ab804c911366745ad7b3ea3ce0b54035eb987a60c2435c8dd39702afb30e2cb4","observation_id":"93329190-2113-4d41-945a-3afb9f902f6e","resolution":{"observed_at":"2026-07-12T18:47:17.525242Z","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":"2026-07-12T18:47:17.525242Z","title":"Joint optimization of sensing and data offloading in digital twin-assisted internet of vehicles,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.27397","last_updated":"2026-04-22T04:58:47Z","snapshot_observed_at":"2026-07-12T18:46:43.451878Z","submitted_at":"2026-04-22T04:58:47Z","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T18:47:17.525242Z"},"links":{"citing_paper":"/paper/2605.27397"},"observation_digest":"sha256:43b0a2b0145a49cf4e6be8847674057d61099aedd68c46ebeaf0c4dada39fab3","observation_id":"0bd0bdaa-7b66-426e-8e5e-f00de3f8cfc3","resolution":{"observed_at":"2026-07-12T18:47:17.525242Z","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":"2026-07-12T18:47:17.525242Z","title":"Dis- tributed multi-objective optimization for edge computing in resource- constrained social iot networks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.27397","last_updated":"2026-04-22T04:58:47Z","snapshot_observed_at":"2026-07-12T18:46:43.451878Z","submitted_at":"2026-04-22T04:58:47Z","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T18:47:17.525242Z"},"links":{"citing_paper":"/paper/2605.27397"},"observation_digest":"sha256:2568abe19b3edc6bcc2e7d2d82144e1530bac981eb4e548131f889b3fa8a29e8","observation_id":"1113b921-2e4d-4c40-aac9-4e1b4bc886e5","resolution":{"observed_at":"2026-07-12T18:47:17.525242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02619","last_updated":"2024-05-13T16:07:20Z","snapshot_observed_at":"2026-07-06T16:27:31.403609Z","submitted_at":"2023-10-04T07:14:43Z","title":"Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02619","snapshot_observed_at":"2026-07-12T18:47:17.525242Z","title":"Energy-efficient and real-time sens- ing for federated continual learning via sample-driven control,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.27397","last_updated":"2026-04-22T04:58:47Z","snapshot_observed_at":"2026-07-12T18:46:43.451878Z","submitted_at":"2026-04-22T04:58:47Z","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T18:47:17.525242Z"},"links":{"cited_paper":"/paper/2310.02619","citing_paper":"/paper/2605.27397"},"observation_digest":"sha256:b4979e40b446e5ebe6972569a727c873cb8240cc7e075c98be1017c455a8b73c","observation_id":"583fa289-a1aa-4bd2-a238-881e7882189f","resolution":{"observed_at":"2026-07-12T18:47:17.525242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.27397","last_updated":"2026-04-22T04:58:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-12T18:46:43.451878Z","submitted_at":"2026-04-22T04:58:47Z","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation"},"reference_resolution":{"displayed":6,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":6},"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":"2026-07-24T06:31:00.690269+00:00","source":"crossref"},{"observed_at":"2026-07-24T06:30:55.483554+00:00","source":"retraction_watch"}],"thesis":"As of 24 July 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2605.27397."}