{"as_of":"2026-08-18T04:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b09be4dde81305a2447267badf0ebc5af8f0d9a062a445e7d86c2de0a52475ea","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:46:27.523341Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.06432/citation-record","integrity":"/paper/2508.06432/integrity","json":"/paper/2508.06432/citation-record.json","paper":"/paper/2508.06432"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:46:28.061532Z","title":"VNF and CNF Place- ment in 5G: Recent Advances and Future Trends,","venue":null,"work_id":"f8061803-4408-4269-9c85-2814cfa2dc99","year":2023},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:26.978156Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:41e9fc163446fb510b860a784275ed3e9c37eb08e1014ca48db2ddef62e5cb53","observation_id":"dcb520aa-76e1-419b-9f71-f949f0383a5a","resolution":{"observed_at":"2026-08-05T22:46:28.065489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:28.049494Z","title":"Function Splitting, Isolation, and Placement Trade-Offs in Network Slicing,","venue":null,"work_id":"15268958-97ba-494d-89a8-65cb66282023","year":1920},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.071158Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:437e2655476911ffcd7ec1c001fb4beb740397faf43016eda0b6ec1b17d88180","observation_id":"c51bbe43-c371-41e9-b406-78b89b9cbf7d","resolution":{"observed_at":"2026-08-05T22:46:28.053318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:28.038226Z","title":"Deep Rein- forcement Learning for Network Slice Placement and the DeepNetSlice Toolkit,","venue":null,"work_id":"a54331ce-af1b-45b9-9fac-0d1b4ca04fa6","year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.185710Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:33ddcf427302b4c7a1b8b0cc7c6de49c6a9cda359061b7f8db9077e6fec40633","observation_id":"c5447ed8-10bb-415d-af3f-08336424b3a6","resolution":{"observed_at":"2026-08-05T22:46:28.041829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:28.026544Z","title":"Hierarchical Multi-Agent Deep Reinforcement Learning for SFC Placement on Multiple Domains,","venue":null,"work_id":"67e76be3-dc6f-4ec5-a129-7d533699245b","year":2021},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.315865Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:bb9805f8ff15a73b4a95111a77f69fb1a0f4c2b1b340e54e1a3ff7d9bc4cf7e8","observation_id":"4b8ffe5b-66ea-4121-8060-11b8e589881f","resolution":{"observed_at":"2026-08-05T22:46:28.030274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:28.014257Z","title":"Ant Colony based Online Learning Algorithm for Service Function Chain Deployment,","venue":null,"work_id":"c69077f4-fde3-4202-8f04-9fabe3199d37","year":2023},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.408654Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:b6b4d174061a423c8d52b7fa5b6bbdc0621182abd112bb4f73a519f396c225f9","observation_id":"5bcf0654-f118-48bd-90cc-28a702ec4970","resolution":{"observed_at":"2026-08-05T22:46:28.018551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:28.002062Z","title":"Rein- forcement Learning-Based Multi-Domain Network Slice Provisioning,","venue":null,"work_id":"e4d4544a-86a1-4535-8147-b62ab61b4494","year":2023},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.412631Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:2ad91d0bd5110632487350ac0a5f404fc4c9037ef6367a1df06b91298d762e7b","observation_id":"665b0d96-25a4-4449-98ba-25333917369e","resolution":{"observed_at":"2026-08-05T22:46:28.006005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.989802Z","title":"5G Service Function Chain Provisioning: A Deep Reinforcement Learning-Based Framework,","venue":null,"work_id":"9d575be2-e701-4d30-b77f-88b6ae1c50dd","year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.416984Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:5f05356ea33658914dca5ee116458b8ff95c02a4a66e716fcdc1b9515512c221","observation_id":"5d922abe-4e6d-4636-899c-14bf665447a5","resolution":{"observed_at":"2026-08-05T22:46:27.993471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.977925Z","title":"Resource Allocation for Network Slicing in Open RAN: A Hierarchical Learning Approach,","venue":null,"work_id":"6ebafadf-375a-4f5d-94b4-417b52a8b5e0","year":2025},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.420611Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:6c3ac1bbd3fac08840d00999a91bd3065e0951ff356495ed6bc5837d72a1b9f2","observation_id":"6c903276-f93b-4eac-9533-0bb759f51694","resolution":{"observed_at":"2026-08-05T22:46:27.981646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.965919Z","title":"Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks,","venue":null,"work_id":"8c1ae1c4-4b95-4393-a7b6-e616d417dfd5","year":2023},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.424098Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:91fefc3ff16ba6f0290c169cf2c2ad6ce11b3f3feb03ca30958d3ee9a5dc5ad6","observation_id":"7730afde-5c13-4d39-88eb-e47e27984b4f","resolution":{"observed_at":"2026-08-05T22:46:27.969859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.953664Z","title":"Multi-Armed Bandit in Action: Optimizing Performance in Dynamic Hybrid Networks,","venue":null,"work_id":"6011bd24-93e5-491c-b315-f605d8db2c77","year":2018},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.427755Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:4ca32dd8927a351656b94eaef43967a6b10244a4e40c8a981c1b59ac52690171","observation_id":"71bb18c0-a0ae-4bd8-b77f-6a13d2fd432c","resolution":{"observed_at":"2026-08-05T22:46:27.957585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.941069Z","title":"Dynamic Network Slice for Bursty Edge Traffic,","venue":null,"work_id":"c626d8fb-4118-43b8-8c11-719fe6b2748e","year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.431290Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:70c6ed7a76957055dc3faa6c331af952c65acee8999a3a75596231dccf4552aa","observation_id":"801f2f5b-e542-4c1b-80cb-f8f41cc67f72","resolution":{"observed_at":"2026-08-05T22:46:27.945020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.929430Z","title":"GiPH: Generalizable Place- ment Learning for Adaptive Heterogeneous Computing,","venue":null,"work_id":"71c6b690-5b59-4e27-9f97-2d77df69e566","year":2023},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.434954Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:d9214eb47b691b9fb397adbdf71e87455788ae5d4feed9cdf50b6e5eda1c05c3","observation_id":"c0f71df7-bc94-4af7-a87d-607b571a38cc","resolution":{"observed_at":"2026-08-05T22:46:27.933078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.917374Z","title":"{AlpaServe}: Statistical Multiplexing with Model Parallelism for Deep Learning Serving,","venue":null,"work_id":"e957cb7a-001f-4134-ad31-35aa35797175","year":2023},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.438841Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:04ed3574ac0cdc81515c6332ae3592656794d8875616a03e3f06afdadafb7b30","observation_id":"a989687d-066d-4a04-a281-6f5263b60e66","resolution":{"observed_at":"2026-08-05T22:46:27.921438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3629136","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"DINC: Toward Distributed In-Network Computing,","venue":"Proceedings of the ACM on Networking","work_id":"d6f610bc-80a3-4b17-968b-c4ad3dcb0f24","year":2023},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.442525Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:03359f14f6fc86270fa5e96747d1a654b64d5d11d2546eaf50ea3cbcdeaca287","observation_id":"34982279-4ba6-4dfd-b95e-6dc1fade6969","resolution":{"observed_at":"2026-08-05T22:46:27.580389Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11447","last_updated":"2025-06-14T06:10:04Z","snapshot_observed_at":"2026-08-15T23:43:05.945767Z","submitted_at":"2024-12-16T04:58:42Z","title":"Decouple and Decompose: Scaling Resource Allocation with DeDe","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11447","snapshot_observed_at":"2026-08-05T22:46:27.446192Z","title":"Zeal: Rethinking Large-Scale Re- source Allocation with “Decouple and Decompose“,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.446192Z"},"links":{"cited_paper":"/paper/2412.11447","citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:e80c5f9bf3a8dd272b2ed0cd5748c022cbd11d0d40875aafc68f3965f570a189","observation_id":"5803df4c-6fcf-4dce-8762-7107311b1620","resolution":{"observed_at":"2026-08-05T22:46:27.446192Z","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":"2026-08-05T22:46:27.905276Z","title":"Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities,","venue":null,"work_id":"4a884da1-40c6-4cb9-99fe-c068519adabb","year":2022},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.450006Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:f2a82d17521942efeb0a3a5f32f49af5bc0d2ffd41c30bcd19dfb5d18c4abef9","observation_id":"4f651b8d-6b98-4703-a0f8-b17ae5f5d8dc","resolution":{"observed_at":"2026-08-05T22:46:27.909149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.892680Z","title":"Community Detection-Empowered Self-Adaptive Network Slicing in Multi-Tier Edge-Cloud System,","venue":null,"work_id":"798ac37c-2c4b-4b45-80a1-e93d74c424a2","year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.453457Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:bc04d514e6eca1fe4e17dd208d897c3a642af69baf6176a6b56a1dae2db58637","observation_id":"ebed8d0f-b33e-40a2-b5bb-8523deee79a6","resolution":{"observed_at":"2026-08-05T22:46:27.896960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.880671Z","title":"Experts in a Markov De- cision Process,","venue":null,"work_id":"7a714f0f-84d0-4822-b700-764adc345bd1","year":2004},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.457038Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:46727a8451c1191993e395b01f440c6cbcdeab739bebeb906be22b1463140b77","observation_id":"71b4bae4-4ee5-4e24-ac82-4cc9492ec13b","resolution":{"observed_at":"2026-08-05T22:46:27.884372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.05622","last_updated":"2022-08-11T03:44:55Z","snapshot_observed_at":"2026-08-16T16:39:51.349355Z","submitted_at":"2022-08-11T03:44:55Z","title":"Regret Analysis for Hierarchical Experts Bandit Problem","version":1},"cited_work":{"arxiv_id":"2208.05622","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.05622","snapshot_observed_at":"2026-08-05T22:46:27.700953Z","title":"Regret Analysis for Hierarchical Experts Bandit Problem","venue":"cs.LG","work_id":"c2749f1b-1247-4849-95ef-1a8f52a3b89b","year":2022},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.461151Z"},"links":{"cited_paper":"/paper/2208.05622","citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:b4b3fbcf601fe4b695a82b265b140862dbbb97ea913b1c1480e08bdd37375d1d","observation_id":"5204879c-5858-4ce4-a791-7bb960e3687c","resolution":{"observed_at":"2026-08-05T22:46:27.705822Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.464753Z","title":"Fast Unfolding of Communities in Large Networks,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.464753Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:af6f5dc7178085fd357fd4c169696ab72b35c1aff1c56876ae5bd23e274b593f","observation_id":"d387dfc3-6112-4427-bde1-6e9304f71923","resolution":{"observed_at":"2026-08-05T22:46:27.464753Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-05T22:46:27.868514Z","title":"Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing,","venue":null,"work_id":"8570f4a3-67dc-4169-86eb-2a56c3ec5c23","year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.468543Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:890f31541a34fe3b8ec01611359a8dbb7126ea38a9cdf95f211ea25649789adb","observation_id":"e5cf5ada-db5a-4265-812b-cdb68c878342","resolution":{"observed_at":"2026-08-05T22:46:27.872879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.472175Z","title":"Bandit Based Optimization of Multiple Objectives on a Music Streaming Platform,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.472175Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:12352ee36c5414e4da5b4b07daaae55aca6c3a6a144e5498b11484387fe91b1e","observation_id":"fd77655b-9a34-4cea-937f-e975daf7aeb7","resolution":{"observed_at":"2026-08-05T22:46:27.472175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.04039","last_updated":"2018-03-11T21:06:52Z","snapshot_observed_at":"2026-08-14T19:37:21.382597Z","submitted_at":"2018-03-11T21:06:52Z","title":"Combinatorial Multi-Objective Multi-Armed Bandit Problem","version":1},"cited_work":{"arxiv_id":"1803.04039","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.04039","snapshot_observed_at":"2026-08-05T22:46:27.607428Z","title":"Combinatorial Multi-Objective Multi-Armed Bandit Problem","venue":"cs.LG","work_id":"9cbdbaed-55c0-4508-9e1e-4a47a24806dd","year":2018},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.475545Z"},"links":{"cited_paper":"/paper/1803.04039","citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:65bd8effd8ac715482410da940741368a86772f029fcdeec49990778cb1f51bc","observation_id":"923d565f-91d3-426e-99a8-b3ffe24373d5","resolution":{"observed_at":"2026-08-05T22:46:27.611741Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.856423Z","title":"Generalized Gini Inequality Indices,","venue":null,"work_id":"647597bf-25ec-43a9-80a8-9b5d13b03167","year":1981},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.479450Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:52b3e04fe8af1e5573fd8d3115022acc94bc395dd549bcf6d1598a96803e84c7","observation_id":"858c6431-182b-46ee-9762-e1dabf89c359","resolution":{"observed_at":"2026-08-05T22:46:27.860209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.844180Z","title":"On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking,","venue":null,"work_id":"c2ced2e6-b7ed-44f3-852a-71e2317d8c7d","year":1988},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.483173Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:343e0776b56eebba569ef2b0cfa02fb1ced81d9cc9ec3527d92cf248fc23657d","observation_id":"14adf202-8339-4277-9358-c8e23b81af29","resolution":{"observed_at":"2026-08-05T22:46:27.848090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.831759Z","title":"Multi-Objective Bandits: Optimizing the Generalized Gini Index,","venue":null,"work_id":"855c009e-610f-4c07-9af9-e2c9e3b9d64c","year":2017},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.486872Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:14fa1c65c72a1be9f12c404bafb773b9c2887c1fd29d51c141000bc94c08c4dd","observation_id":"9952239a-4b91-4dcb-84af-5dc17e7c9e94","resolution":{"observed_at":"2026-08-05T22:46:27.835852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.818848Z","title":"Ridge Estimators in Logistic Regression,","venue":null,"work_id":"451c4681-25af-4420-891f-e9e48b10d0ae","year":1992},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.490896Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:15f165134db91843351a59063315e811b8c4b2698e35f3061bf41915da3fff51","observation_id":"3fc428de-b069-4de2-8766-e03306ba2c77","resolution":{"observed_at":"2026-08-05T22:46:27.822778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.806513Z","title":"Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance- Adaptive Approach,","venue":null,"work_id":"616a4303-9f18-49cc-8419-a92e0da09244","year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.494870Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:331ac859767d191e5694d65eff1fd95d38a8ae75aeeef147957e5ed5ea5ca1a5","observation_id":"2bd858d4-bbb7-4b22-a281-e9845a2b6966","resolution":{"observed_at":"2026-08-05T22:46:27.810279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.24963/ijcai.2024/44","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Online Combinatorial Optimization with Group Fairness Constraints,","venue":null,"work_id":"2e1363de-6e27-42f5-80bb-a4ebba53d8ff","year":2024},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.498510Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:e47358bab3fd9955acc67f58580d864a832e9293de70b8abb07369b56e37fb28","observation_id":"1a852162-5a56-4b92-82ed-945f08e39735","resolution":{"observed_at":"2026-08-05T22:46:27.558144Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.793580Z","title":"The Internet Topology Zoo,","venue":null,"work_id":"df00fe3f-a682-4f6a-8f68-c085d0fd52d9","year":2011},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.502080Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:c79d3060721f1977d15e1e40fc24d18372dbbe009a30bcd581600646d31a1b76","observation_id":"455bd642-a881-4e9b-8e1b-e396bdb1555b","resolution":{"observed_at":"2026-08-05T22:46:27.797633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.780008Z","title":"Caching Performance of Content Centric Networks under Multi-Path Routing (and more),","venue":null,"work_id":"49259347-d789-467e-9a8b-2084f74a9142","year":2011},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.505617Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:9f1aed7ff2ec7ef4ef3781ede3c07fd6df255ae7663c246f9168408ed056850c","observation_id":"cb49186f-1027-4fd4-af92-49ec1cbcf01f","resolution":{"observed_at":"2026-08-05T22:46:27.783930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.767536Z","title":"A Contextual- Bandit Approach to Personalized News Article Recommendation,","venue":null,"work_id":"2bc3fcb8-c01a-47bb-b0a4-dc083ce67b17","year":2010},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.509076Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:b5ecb8c73b2ef204dd3c5010881350c00bddd7ce2b0cc2db47a3c9370b279a68","observation_id":"398e2e89-4455-4a94-9439-d7f9d69528cc","resolution":{"observed_at":"2026-08-05T22:46:27.771501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.755574Z","title":"Contextual Combinatorial Bandit and its Application on Diversified Online Recommendation,","venue":null,"work_id":"4927274c-db97-44f7-9b11-6643dcf25a0b","year":2014},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.512503Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:1c0980551327503acae2d3d7ef4e010fa139e3505314c59a0a10218cb0b0c5a4","observation_id":"58d8ea68-ad44-40ff-a9dc-6045ef43f0d0","resolution":{"observed_at":"2026-08-05T22:46:27.759348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.742837Z","title":"Thompson Sampling for Combinatorial Semi-Bandits,","venue":null,"work_id":"fa993e0e-202b-4ce6-9fd2-7480fc3a9d21","year":2018},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.516067Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:76dd38ccaebfb97ade5651a6d9d1cdbadeb1313e5f57d47ce9328f886738e2f4","observation_id":"b3212676-091a-4d59-849c-68285c5d3cd0","resolution":{"observed_at":"2026-08-05T22:46:27.746651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:46:27.729514Z","title":"A Deep Contextual Bandit- Based End-to-End Slice Provisioning Approach for Efficient Allocation of 5G Network Resources,","venue":null,"work_id":"4f736205-5a31-49a5-ae45-bee633f29684","year":2022},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.519531Z"},"links":{"citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:60ffc52f40b7da931a59ea183fdcf258945bd28cd8af5a566389775c7aeb899b","observation_id":"30b92d6b-7277-435b-be1b-7466d76b5fe0","resolution":{"observed_at":"2026-08-05T22:46:27.733851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23148","last_updated":"2025-04-03T15:37:26Z","snapshot_observed_at":"2026-08-16T13:04:29.467452Z","submitted_at":"2024-10-30T16:04:16Z","title":"Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23148","snapshot_observed_at":"2026-08-05T22:46:27.523341Z","title":"Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:27.523341Z"},"links":{"cited_paper":"/paper/2410.23148","citing_paper":"/paper/2508.06432"},"observation_digest":"sha256:77477b256c161a6f865219ee0975deffe2785c9fa2f3658ade64723126a11ba5","observation_id":"084a9fd5-a3ec-4859-a591-eabcd0a7af67","resolution":{"observed_at":"2026-08-05T22:46:27.523341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.06432","last_updated":"2025-08-08T16:20:24Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-17T23:31:10.175294Z","submitted_at":"2025-08-08T16:20:24Z","title":"Hierarchical Placement Learning for Network Slice Provisioning"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":4,"verified_fuzzy":28},"total_outbound_references":36},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.06432."}