{"as_of":"2026-08-14T06:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ce921c2c1e0d3d5db819d0529c500fa15c9c6f23fefdcff53e4847701234e1ba","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":"2026-05-10T12:37:47.530745Z","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":"2026-08-14T06:32:32.682623+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/2604.13542/citation-record","integrity":"/paper/2604.13542/integrity","json":"/paper/2604.13542/citation-record.json","paper":"/paper/2604.13542"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A dynamical system approach to task- adaptation in physical human–robot interaction","venue":null,"work_id":"a20ba7cf-6027-46ca-b151-389448fab6a5","year":2019},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:e048ac636a2649e043e6c366ed81faa811bf5d17bcf479e58a035044e5409579","observation_id":"f432568d-d787-429c-bc85-c9d455326689","resolution":{"observed_at":"2026-05-19T06:53:01.601061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Load-aware continuous-time opti- mization for multi-agent systems: Toward dynamic resource allocation and real-time adaptability","venue":null,"work_id":"0292f3cd-74d8-4dfe-9559-d9e027059ed2","year":2024},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:aef4b55b4ad68cba875ea581850faf91dc11c5b0f944d550689bb27c4945619e","observation_id":"5c0e4528-3370-4e83-ae10-b44b0e163880","resolution":{"observed_at":"2026-05-19T06:57:09.004456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Human motion trajectory prediction: A survey","venue":null,"work_id":"825fd22b-e2ff-4046-85e0-7def2992972a","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:d3272ad38c26b3f19f9992be9d0c6fe377d11a0f9313f81361feca2645f1a064","observation_id":"243fc4bd-b52e-4f91-bf2d-5f6e8f256936","resolution":{"observed_at":"2026-05-19T06:57:09.007944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Architecting cloud solutions for improved consulting practices: Leveraging simulation for cost, performance, and energy efficiency","venue":null,"work_id":"999f4482-12d1-4125-8c0e-1b8772bb1e00","year":2023},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:bbf4a879d06c9b98c4e816fa5a332d50b810a18b339fc9034f03795285acb88f","observation_id":"f1d74911-26de-4616-a48a-e46ee4ecaeaf","resolution":{"observed_at":"2026-05-19T06:53:01.653638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Energy efficient cloud architecture solutions: A real case","venue":null,"work_id":"6a66bf89-6c45-418c-a11e-7b45298d80d0","year":2023},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:22966362e1898a9b71beef6f5a7fcb270c0fdb1cec699a4f17fbb9ab41f42507","observation_id":"97084131-f8ae-400a-8fb8-80470472c483","resolution":{"observed_at":"2026-05-19T06:53:01.625750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Al-Momani and M","venue":null,"work_id":"7e0f2fa1-804b-49d8-9730-93faa840a05b","year":2024},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:55e1f737abcda38d41b4439fee30c711021dcb8189edefb581945b7e1505b939","observation_id":"804293f0-e39a-41e8-876a-1ed4978bee56","resolution":{"observed_at":"2026-05-19T06:53:01.607667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"A review of edge computing: Features and resource virtualization","venue":null,"work_id":"eded0846-2567-4923-a8d5-b5512667ff49","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:21e295bd221f1ef945fe63d7eaef14d1393aa845368128effd6338df411d8d57","observation_id":"69ba6e17-aacb-47db-bbf3-9368cbb28605","resolution":{"observed_at":"2026-05-19T06:57:09.011543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Weyns,An introduction to self-adaptive systems: A contemporary software engineering perspective","venue":null,"work_id":"1c1efff7-6cba-4765-86ab-2f7bd9ad2251","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:005ce944638ffdb9b25aa0ee27206bfacd8929c634022f97a296dfc148ca916d","observation_id":"d1d6516f-bb65-4c06-a36e-c7f9b85f298d","resolution":{"observed_at":"2026-05-19T06:53:01.613679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Model-driven cluster resource management for ai workloads in edge clouds","venue":null,"work_id":"df1ce6bc-9355-446e-988a-7bee92941cf8","year":2023},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:ee80780c3e9d83ec93c2a642c6c0752b39927ce9c3a9d849c55e596c46df6f78","observation_id":"36e6c815-c0f4-4ee9-9834-838fbf521413","resolution":{"observed_at":"2026-05-19T06:53:01.616464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Ias: an iot architectural self-adaptation framework","venue":null,"work_id":"5bf2ad49-cbc7-4f3f-bf2e-88eec989d503","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:984e160ca926937c420fc6939d15b6c6dc5eaaeebc11b3ad2c381da355895a15","observation_id":"db3d3903-f842-4a46-ac92-1da1e08b00b0","resolution":{"observed_at":"2026-05-19T06:53:01.610689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Hierarchical control for self-adaptive iot systems a constraint programming-based adaptation approach","venue":null,"work_id":"3e8a84f2-7d6b-42cc-b7ff-d4cb9eb7ac71","year":2022},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:bbfa32eaab3c20454668b6641e0b174290cf6d6b163b4868ad8d8278a7007cf1","observation_id":"48172bd7-c58d-4f23-85c2-8bc8eeef13b9","resolution":{"observed_at":"2026-05-19T06:53:01.660661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Control techniques for safe, ergonomic, and efficient human-robot collaboration in the digital industry: A survey","venue":null,"work_id":"edb06fc5-8d6a-49d6-932c-d42041afff06","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:7fd653ad2c3bb40a4ba95cadfe32242332a378a0a041eacb4d8707e921cd3c8d","observation_id":"282cdcad-a4ac-44e1-a8ef-724ac8d42ebd","resolution":{"observed_at":"2026-05-19T06:57:09.021172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Human-robot perception in industrial environments: A survey","venue":null,"work_id":"2ff9c2ae-654f-4a47-b410-db35b1c92679","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:593b914f10abb9932879b3c1c931b09502901ec1d0eaf6a2d800fb6509311529","observation_id":"8d62cf32-bbb9-4585-ab76-6f033539d207","resolution":{"observed_at":"2026-05-19T06:57:09.033038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Holistic lstm for pedestrian trajectory prediction","venue":null,"work_id":"cb0228f0-58a2-4efd-b77d-1c2d3363c9f3","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:f37487d7c5426fbb779c7de1c250722caf3a61978f065c4da9522e528b09db21","observation_id":"ea524e30-5ba4-409c-8159-99601a649c27","resolution":{"observed_at":"2026-05-19T06:53:01.644082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"A state of art: Survey for concurrent computation and clustering of parallel computing for distributed sys- tems","venue":null,"work_id":"c7fa43f4-aa60-45dd-87a9-b9f978810ca4","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:0bff9f36ad1bb87a00936aab927152960ed69b1af449fb7e6a0cd81829f6029d","observation_id":"a8723081-9183-4eaf-97f3-0ad95400aab1","resolution":{"observed_at":"2026-05-19T06:53:01.656738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Secure big data processing in multihoming networks with ai-enabled iot","venue":null,"work_id":"b5124520-6abf-421d-b7e4-0a7e64a9d32e","year":2022},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:578518907d835046c1351f88ec2013495bfde7187b68e53877d97862cb87b531","observation_id":"021f7c4f-8d64-4e94-960f-0bc5775645dc","resolution":{"observed_at":"2026-05-19T06:53:01.633833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Human-machine collaborative decision- making: An evolutionary roadmap based on cognitive intelligence","venue":null,"work_id":"9adb1698-f2f8-4884-8f31-43d0a7e5f7a1","year":2023},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:01b8712ed3adaf078a547e11ffb8e3d4fdbe3b6d3409de8c015d48ca0c2f8468","observation_id":"699be01d-7e05-4033-b32c-45653a5f1d14","resolution":{"observed_at":"2026-05-19T06:53:01.632840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.03854","last_updated":"2022-05-08T12:44:51Z","snapshot_observed_at":"2026-08-13T15:48:13.017690Z","submitted_at":"2022-05-08T12:44:51Z","title":"Introduction to Soar","version":1},"cited_work":{"arxiv_id":"2205.03854","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.03854","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Introduction to soar","venue":null,"work_id":"75f9ce10-5acb-4ff6-9330-29925e2d8549","year":2022},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"cited_paper":"/paper/2205.03854","citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:ffd798e057fd6d9d3870381292423c851d639f3b7cbd27ab6f09770168675ba2","observation_id":"be40f6de-7672-46d5-88eb-8eaf64737468","resolution":{"observed_at":"2026-05-11T11:46:24.270826Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Maui: making smartphones last longer with code offload","venue":null,"work_id":"3a16f124-04aa-4a50-9c9a-17d70393fc77","year":2010},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:8eb2d1dc88077b7190de72f5d1a8281123f21e5482b28db995facb6abcf4263f","observation_id":"8ca886b3-4049-43e0-8fb9-c57b270ccd10","resolution":{"observed_at":"2026-05-19T06:57:09.024137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Energy-sla- aware genetic algorithm for edge–cloud integrated computation offload- ing in vehicular networks","venue":null,"work_id":"5c5d1e2c-657a-4516-bd4d-ae65ed050ecf","year":2022},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:3b666587c86ae09fbc0dbbca6587260ea6473f66fd2eb99e16e60d2fc981b74b","observation_id":"e29423ef-42fc-4a4e-9938-4a7b653862b1","resolution":{"observed_at":"2026-05-19T06:57:09.014801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"An efficient fuzzy-based task offloading in edge-fog-cloud architecture","venue":null,"work_id":"d04cc808-5e27-403d-bc38-f2ee8ef1c60c","year":2023},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:c359a0ea66a103166cdb7184afe5eb93c67671c2e1a26aba42140970e3c6228f","observation_id":"e52587c9-28ab-47d8-b8e0-1090acabed1f","resolution":{"observed_at":"2026-05-19T06:57:09.017877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Iot architectural styles: A system- atic mapping study","venue":null,"work_id":"6ce32e74-da72-4455-9d60-64d1a90c24d7","year":2018},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:6610be01cb019a44da08f411039d2485fbcb764e7f0aab3e3dfe580028b36aa4","observation_id":"7bbe8d02-a15d-4a16-bc89-0bec60dfb2ab","resolution":{"observed_at":"2026-05-19T06:57:09.026934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Deep compressive offloading: Speeding up neural network inference by trading edge computation for network latency","venue":null,"work_id":"1bcbcf1f-dc13-4fed-b1d3-043b4748dc1c","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:17e581431c9afa889cc3237ec2da15300eb46075be81fd4ce0545674f4731326","observation_id":"2b1cfb1f-03d7-4f7a-9bbb-da1e4eb63c9c","resolution":{"observed_at":"2026-05-19T06:53:01.641895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"ESCOVE: Energy-SLA-Aware Edge- Cloud Computation Offloading in Vehicular Networks","venue":null,"work_id":"52000664-3d10-427d-b485-566695eba4f1","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:ae8d3d0c5c2c127681e3b265c52fe9df0198ef7ddd0b32623ac9e4f66843490f","observation_id":"6a6a4c09-f308-4166-933d-ee426666caa2","resolution":{"observed_at":"2026-05-19T06:53:01.644880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Heterogeneous edge offloading with incomplete information: A minority game ap- proach","venue":null,"work_id":"fdabba58-710a-482a-a117-1f61c1357ebe","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:1d5206ebb768f1b179688f78034aa29998bea988764aa0a97fc7c4b37027e632","observation_id":"bf6b8360-c203-4588-9e9a-18cfe14881f3","resolution":{"observed_at":"2026-05-19T06:57:09.029831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"A survey of model driven engineering in robotics","venue":null,"work_id":"2a07eed7-28d2-4291-bbe3-c06959d7c5c1","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:eac7264fbffbefc5715a795caaef6dc7528724f3471fb99160bb02681de058c7","observation_id":"0f904649-5b91-4de5-aee2-dad6032334ad","resolution":{"observed_at":"2026-05-19T06:53:01.682927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Service modeling for oppor- tunistic edge computing systems with feature engineering","venue":null,"work_id":"7d2149b8-f566-4c66-9725-587f4513d9ad","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:6e0682f50b314248f80d04bc687a804543f3980664e5cf457e2e481b90f30a83","observation_id":"3f54f184-1576-4a42-a7a6-7442a97bc5bb","resolution":{"observed_at":"2026-05-19T06:53:01.674848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Applying architecture-based adaptation to automate the management of internet- of-things","venue":null,"work_id":"63024632-b864-4887-bb57-097fab70bf2a","year":2018},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:d391790a79c9d5d7404f9cb9b684849f819fe375fed0ab074a11c9382a7258d9","observation_id":"d2b97449-0df4-4124-9c93-16f7ff830b80","resolution":{"observed_at":"2026-05-19T06:53:01.677718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"A context-aware and self-adaptive offloading decision support model for mobile cloud computing system","venue":null,"work_id":"9dd4873e-0d52-4be7-9fc9-9706942add0e","year":2018},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:c35de0005031216836e0728145dee22cba0e4ff8929eb115c36c8ea33902e2e0","observation_id":"e2b1c414-ca17-45a1-af47-75437c79b840","resolution":{"observed_at":"2026-05-19T06:53:01.647571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Heuristic and meta-heuristic algorithms for solving medium and large scale sized cellular manufacturing system np-hard problems: A comprehensive review","venue":null,"work_id":"73a5fbbb-b97d-4715-a86a-d060a6891e1f","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:2532585740e24eaeec9ed2e230d9b0aa5974829275cee1e1f056c1101141de9e","observation_id":"0bee39db-9886-4446-b2e2-dedd6825af3d","resolution":{"observed_at":"2026-05-19T06:53:01.672020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Meta-heuristic- based offloading task optimization in mobile edge computing","venue":null,"work_id":"9391a2e0-cfca-49f2-9070-2ff5f44092a7","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:4ad206c58b680c6a6c405c4701388e2f3b6eea98c4faf80c305542b48e317352","observation_id":"753912cf-62ef-4230-a4ed-e0ca7d0840cd","resolution":{"observed_at":"2026-05-19T06:53:01.680291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Dynamic power-latency tradeoff for mobile edge computation offload- ing in noma-based networks","venue":null,"work_id":"c14ee096-3c40-46ee-aed1-5ca5a646ef5d","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:4ae107ee81fe5e7816db608aa6190944c06501543e750a92390819d4d6e09f3f","observation_id":"b7c9436e-946f-4e80-a2af-a283bbaa82d2","resolution":{"observed_at":"2026-05-19T06:53:01.685853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Offloading time optimization via markov decision process in mobile-edge comput- ing","venue":null,"work_id":"56810dca-30be-454c-b738-f1221a72bf78","year":2021},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:784b61dac036a0152765fa3b0cfce382a29ae17768a631a3705a64f7f0f7d80f","observation_id":"131a2b9d-e1ee-488b-b778-349e83e13295","resolution":{"observed_at":"2026-05-19T06:53:01.604586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Collaborative computation offloading for multiac- cess edge computing over fiber-wireless networks","venue":null,"work_id":"4ade3da1-2b15-481b-8637-c34efa34c4ed","year":2018},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:25f5f2b34bfcd27032f9f57bb4646a0cb618705686dda29fc0fb8f47cf2be839","observation_id":"21b64d42-1bc4-48b9-bbe7-578ea1d0f37b","resolution":{"observed_at":"2026-05-19T06:53:01.660286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Q-learning based computation offloading for multi-uav-enabled cloud-edge computing networks","venue":null,"work_id":"164996a8-9b31-4bee-a0f2-b044726d57ee","year":2020},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:1ae21bcda71a044fb4140ca531fc76529bdce6c110f884af489e160481d35467","observation_id":"20684b4b-bcf6-4217-97d1-c08e3e64b6ee","resolution":{"observed_at":"2026-05-19T06:53:01.666430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"An optimal novel approach for dynamic energy-efficient task offloading in mobile edge- cloud computing networks","venue":null,"work_id":"767d5ad8-2f5a-43f8-928f-9f0c8676b1cf","year":2024},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:e6348d8ac76277575805c8bcc737d4c4258fdd37b6a8f86f4b8a31b7f127cedf","observation_id":"15e0fe62-a076-4b21-bbff-b63922e5cb6c","resolution":{"observed_at":"2026-05-19T06:53:01.663999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Load-balancing of kubernetes- based edge computing infrastructure using resource adaptive proxy","venue":null,"work_id":"f7fdade5-22b3-4115-904f-d613dfa6643b","year":2022},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:3b1f2a13c32535e386529cd579a4230872024668e728b5733aa47161b961e63b","observation_id":"fac9fd72-86a7-4a87-9bf7-5c86fa05910d","resolution":{"observed_at":"2026-05-19T06:53:01.667139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Task offloading strategies for mobile edge computing: A survey","venue":null,"work_id":"aa7eb205-484f-4881-a66a-fd9855a83d80","year":2024},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:35e816c995e0aba8eed3d5f29af9866903277f434425c6162ce886ea7681b8f0","observation_id":"93918952-87a6-4ec6-8564-5560e9ec1db3","resolution":{"observed_at":"2026-05-19T06:53:01.650408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.03669","last_updated":"2020-08-01T16:55:53Z","snapshot_observed_at":"2026-08-07T23:42:06.359905Z","submitted_at":"2020-06-05T20:28:56Z","title":"An Overview of Neural Network Compression","version":2},"cited_work":{"arxiv_id":"2006.03669","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.03669","snapshot_observed_at":"2026-07-01T21:06:14.424114Z","title":"An overview of neural network compression","venue":null,"work_id":"32ef1a9f-7526-49b6-acd4-6cc06a45ac19","year":2006},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"cited_paper":"/paper/2006.03669","citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:c242d36344b651a86f863a0bee480aa49ca6f43bff03436dbf59004ce9332db2","observation_id":"013b0a22-2665-4163-8955-b34bd326b50a","resolution":{"observed_at":"2026-05-11T11:46:24.487865Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Cloud healthcare services: A comprehensive and system- atic literature review","venue":null,"work_id":"d1b801ce-f30a-44c4-8564-4e2e1885921b","year":2022},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:86bb9f95b39ce457efae5642cba816473c4b9c969ae2150c72adac4bfcf36490","observation_id":"f04dd913-8c3c-4489-892a-8a83b811d74c","resolution":{"observed_at":"2026-05-19T06:53:01.653141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Auto- scaling mechanisms in serverless computing: A comprehensive review","venue":null,"work_id":"bef93156-0403-4353-98c3-626d53ca3b4f","year":2024},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:d2aca12821f5da16baad4ccecd2bf37cc3336ab706448e4113b4b13a41915c86","observation_id":"43f1e223-9ae7-47b9-b959-eae832532c03","resolution":{"observed_at":"2026-05-19T06:53:01.669095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Ai-enhanced performance optimization for microservice-based systems","venue":null,"work_id":"a904fb8f-6060-4520-96af-f7a2cab9caf4","year":2024},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:31558ce175759abf98c4abb6b0cbd4c889dca96a43e8615007e584a81469802c","observation_id":"ebe3ca25-2ace-4e83-8854-cfeca782da72","resolution":{"observed_at":"2026-05-19T06:53:01.650722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey","venue":null,"work_id":"b5184170-a8ba-4b42-9ac6-508111d83138","year":2023},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:f5113f5fe0cbba19701dd4dee66a67160ea7dddd446bbf4582bd23229fefa9dd","observation_id":"5548f33e-2be6-438b-b7c8-cd98ab06d6e6","resolution":{"observed_at":"2026-05-19T06:53:01.639475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-06-05T21:23:00.469572Z","title":"Self- adaptive iot architectures: An emergency handling case study","venue":null,"work_id":"fe99f9fd-5448-4e35-b2a5-c74546e2c44f","year":2018},"citing_paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T12:37:47.530745Z"},"links":{"citing_paper":"/paper/2604.13542"},"observation_digest":"sha256:c7702e32e3acc303b30a3fe08994b8cfe116f40ddde9025b58bb320f7b8ce514","observation_id":"d8922e62-f453-4fb3-b5c6-de57f0325aaf","resolution":{"observed_at":"2026-05-19T06:53:01.640831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.13542","last_updated":"2026-04-15T06:45:54Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T23:01:32.542040Z","submitted_at":"2026-04-15T06:45:54Z","title":"Self-adaptive Multi-Access Edge Architectures: A Robotics Case"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":42},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2604.13542."}