{"as_of":"2026-08-12T08:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd7a07e067eecd17e0f05c33251bf7bee088900c5fdef31f28dc8a897ae11a5b","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:35:20.808187Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2501.06191/citation-record","integrity":"/paper/2501.06191/integrity","json":"/paper/2501.06191/citation-record.json","paper":"/paper/2501.06191"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:35:21.280238Z","title":null,"venue":null,"work_id":"f45f40e4-cdbe-45af-9550-e201b41bd3e3","year":null},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.664653Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:5ee51308876c62584ac04f981b7702591d7355af7cbd25cf190930dd961039c6","observation_id":"a03f9885-0d87-4b78-a181-7824d1fe3887","resolution":{"observed_at":"2026-08-11T12:35:21.284256Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.268005Z","title":"computing devices often with sensor capability to collect, share, and transfer data using the Internet","venue":null,"work_id":"9faea9d3-5ace-40f2-9a4d-d7c0098b2f24","year":null},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.669058Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:cf46b5b3a5c752692cd0224dc59a14de456ee4f785278c28b52e8da49b0a6217","observation_id":"1ce59750-ea9e-4c84-b83e-30a82c26abea","resolution":{"observed_at":"2026-08-11T12:35:21.272263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.223714Z","title":"Deep Learning in Real Time – Inference Acceleration and Continuous Training","venue":null,"work_id":"4e8894bb-aa23-4ffc-940c-19c89894369d","year":2017},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.685471Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:18aa8801f63fc05a6e12481c6cd4a5b36f322c0219b0aedc1637248b06a6f881","observation_id":"53746b0b-73c5-4f35-ac47-ed33cfc919d9","resolution":{"observed_at":"2026-08-11T12:35:21.227742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.245720Z","title":"IEEE Journal of Biomedical and Health Informatics, 2019","venue":null,"work_id":"b4954443-529d-4514-b7cb-948aa75fdfc5","year":2019},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.677922Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:07cfd9581cfc67674e493b91b4fe919477a199d3131bde3fbf54fa956c6f538a","observation_id":"a07040be-9b32-4637-9fb0-cc16b14ad014","resolution":{"observed_at":"2026-08-11T12:35:21.249367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.234785Z","title":null,"venue":null,"work_id":"0fdefb75-8695-42a2-a2ba-4d6a6dbf4e8d","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.681750Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:d5b8c5cc810a499ed1ab90fa72e47b9289aa1ded4710bcf7d43be87bd7a9d1a7","observation_id":"8b40d94e-1b37-416d-99bd-5555ee4cae57","resolution":{"observed_at":"2026-08-11T12:35:21.238496Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.191231Z","title":"IEEE Internet of Things Journal, 2016","venue":null,"work_id":"afcadf77-1787-4422-95ea-301509285dbb","year":2016},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.697037Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:910d950c3110e4300674effe11464883a66c25d232fef477284ba3fe6f874a00","observation_id":"ffd23220-288a-4924-8a70-ed51cd3474ce","resolution":{"observed_at":"2026-08-11T12:35:21.195091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.212992Z","title":"Behaviour & Information Technology, 2013","venue":null,"work_id":"7a6e75b2-0930-4c60-92d4-e04a52862215","year":2013},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.689688Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:dabd8c15d2c84e1dd3efb010e8f64946a550f1220aa09e0727a88fc1f92da82c","observation_id":"4850747d-c81d-43c4-a552-53c0fde250af","resolution":{"observed_at":"2026-08-11T12:35:21.216947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.202488Z","title":null,"venue":null,"work_id":"cedc5d99-6714-4d0f-a952-a62eef33f085","year":2020},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.693216Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:45257ccf18b428738e0a98349b4257ef51aba7072f02303e34064ad59c281e5e","observation_id":"e6ece4dd-0148-403a-a968-c0bab78fb860","resolution":{"observed_at":"2026-08-11T12:35:21.206129Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.158440Z","title":"IEEE Transactions on Industrial Informatics, 2019","venue":null,"work_id":"758d929b-4fc3-4039-8ac2-d85423b4e321","year":2019},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.708030Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:d92e35b24b7c7833116056e46c2f6d8c741bb57e9f3ec58a5f17a81473b4a174","observation_id":"15df5b20-be7d-477a-9976-fed3b2beab80","resolution":{"observed_at":"2026-08-11T12:35:21.162228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.180324Z","title":"Automated Management of Deep Learning Experiments","venue":null,"work_id":"a0264a7a-56cf-4a3e-bf26-6b79ace0284c","year":2019},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.700974Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:584a0643987686058d67a1a1c2041e475fcd07c2228002f3ec112167dd074316","observation_id":"f70ed889-c5c3-45b9-834b-1ba3dc659bb6","resolution":{"observed_at":"2026-08-11T12:35:21.184118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.169192Z","title":"Towards unified data and lifecycle management for de ep learning","venue":null,"work_id":"271a6eb5-f2d3-44fe-8a21-09a809851276","year":2017},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.704371Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:0177c28f4fd2c81dbd625d5e5004dbba02792ab36b28033a16958c3ad4948555","observation_id":"062d3213-7ae9-411a-8143-3a4cb7eadabc","resolution":{"observed_at":"2026-08-11T12:35:21.172981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.125503Z","title":"Ota, and M","venue":null,"work_id":"c7589bda-f858-4169-98bb-83a63b6b559e","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.718912Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:862db0d4a03ae2c9ceac02ca1e61284bfd03dbcbd55096b74d8e98fea1f39756","observation_id":"0ab31ea6-d86e-4403-bf39-d6ea31cb8f6b","resolution":{"observed_at":"2026-08-11T12:35:21.129155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.147415Z","title":"Procedia computer science, 2017","venue":null,"work_id":"c6f1e17f-2dd1-492e-962e-d2ae0e1b5031","year":2017},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.711517Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:916bb29f83187f8a213f8b5eb79d520baf6d12f15ceeed9c99ac654b04004b39","observation_id":"ec417092-d238-4a2c-921c-8ea86b0817cb","resolution":{"observed_at":"2026-08-11T12:35:21.151089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.136535Z","title":null,"venue":null,"work_id":"981d2821-6a48-4569-bc96-7c904232a74b","year":2016},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.715156Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:13dcbc729bb8c9561d20f35069989ff95df168155851b7b0e57a572e2de2f434","observation_id":"075f52c3-395b-4822-b7d2-bcd42d3801a5","resolution":{"observed_at":"2026-08-11T12:35:21.140398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.093140Z","title":"Han, and K","venue":null,"work_id":"d466390a-4711-46d2-8eca-f27ea6721217","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.729953Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:ea4a26d59b504c8ba7a79406c3d1585fa939c0aec6b5a4f7b4674a580ae021fc","observation_id":"848b6100-d242-4e2b-911d-adfbe166502b","resolution":{"observed_at":"2026-08-11T12:35:21.096918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.114837Z","title":"Thomas, and K","venue":null,"work_id":"da1cb832-1704-4749-b143-9034ab0177df","year":2017},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.722593Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:0e1356f699f47ae48673bff8aec5b26f8837d70387a1457a86eef17cc75ff74d","observation_id":"559aec8a-2a35-4f5c-aa9c-518f411add9d","resolution":{"observed_at":"2026-08-11T12:35:21.118465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.103593Z","title":"Software: Practice and Experience, 2017","venue":null,"work_id":"a36194b7-71ea-4772-9a29-3970c45e52dd","year":2017},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.726110Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:a73a74fdcd84ab88a8b14babbff638b6e2e077888c396e75ebfb2f945d6c2859","observation_id":"60e0d35c-8fef-4129-be9b-34c4f23ecbc4","resolution":{"observed_at":"2026-08-11T12:35:21.107222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.04413","last_updated":"2019-02-12T14:48:25Z","snapshot_observed_at":"2026-08-11T16:58:36.037891Z","submitted_at":"2019-02-12T14:48:25Z","title":"TensorSCONE: A Secure TensorFlow Framework using Intel SGX","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.04413","snapshot_observed_at":"2026-08-11T12:35:20.740490Z","title":"arXiv preprint arXiv:1902.04413, 2019","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.740490Z"},"links":{"cited_paper":"/paper/1902.04413","citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:a67434b6d86e661b700cc7b4c05e304495896a3f008d4eead8cee5ddd74328f6","observation_id":"bf17ae4b-ed3d-4803-be0b-f06b2522df7a","resolution":{"observed_at":"2026-08-11T12:35:20.740490Z","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":"2026-08-11T12:35:21.082128Z","title":"M odel DB: a system for machine learning model manag ement","venue":null,"work_id":"6e48cdd5-3f62-47ec-8672-b7b9a108eef4","year":2016},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.733556Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:604a86ebdc6e9ed835ee505ffb8986a2338fc26fde14ff1d4ba76d3a782d87f8","observation_id":"5ac1ffdc-97e6-47d7-ad27-e968656a88fa","resolution":{"observed_at":"2026-08-11T12:35:21.085884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.070983Z","title":"Automatically tracking metadata and provenance of ma chine learning experiments","venue":null,"work_id":"dfcac74e-f681-420b-bdeb-c3c20cb9d34f","year":2017},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.736961Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:bbfa711d3f53226b2c47a5bcd81c6ddd033f5868e8269f087a8253b4ed6dbc3c","observation_id":"73832e34-ce6b-4de8-82af-5801c56d4da0","resolution":{"observed_at":"2026-08-11T12:35:21.074640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.037440Z","title":"Deep fried convnets","venue":null,"work_id":"29861c3c-afe7-4f75-a79c-9cf6f5058a2b","year":2015},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.751848Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:6e48961808d276b6f58308ae0f9248024847c0793ac96185f62104a86b83b3a1","observation_id":"0427425c-f410-436c-be32-75146bcca17b","resolution":{"observed_at":"2026-08-11T12:35:21.041196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.059983Z","title":"Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy","venue":null,"work_id":"e3e098f0-9d79-459d-bcd6-b44f22caef32","year":2016},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.744755Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:fc1dd8d62a622679a41aebe35d18bb59e7236f47a53859ac3b9ae7f6675b3721","observation_id":"047e5657-f6de-4ab3-acf7-d7ad81847286","resolution":{"observed_at":"2026-08-11T12:35:21.063702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.256585Z","title":"apparea” is the business focus and “cost","venue":null,"work_id":"9f984281-89e8-4bbb-8093-cc0761152c3e","year":null},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.673324Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:6b9bed5ed08f526354fb06e30c0d18d151a893de1a3ca8cc279970ee51d2ea15","observation_id":"f49c04e2-a58b-44ba-ad7f-e34885cdab84","resolution":{"observed_at":"2026-08-11T12:35:21.260705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.048615Z","title":null,"venue":null,"work_id":"7e6b69cc-7cbd-4e40-88a2-9a5d48f11e79","year":1989},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.748349Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:bbb152db1ddffe82c929d34adadcf472f2756085ab7c3dabc47b04badc870e27","observation_id":"1226f4ba-e704-44dc-9f3e-6b27fc044cad","resolution":{"observed_at":"2026-08-11T12:35:21.052579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.025843Z","title":null,"venue":null,"work_id":"1c85bb0e-31a9-4d39-926c-7c1747bbf310","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.755488Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:6a7991cb29b0643e550ef44f00278037788cc4d3c62a9e7bd16399f817569b8d","observation_id":"abc6abd5-f0d3-427d-86ba-61558265cea0","resolution":{"observed_at":"2026-08-11T12:35:21.029870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-11T12:35:20.759136Z","title":"Vinyals, and J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.759136Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:6ba6e9d42eccf2cedd102b05a91334942c3a364f5807ca623b19a7bcfaf03f0d","observation_id":"a9467d5e-ae58-4c79-a9f6-3df060b0472a","resolution":{"observed_at":"2026-08-11T12:35:20.759136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.00149","last_updated":"2016-02-15T06:25:40Z","snapshot_observed_at":"2026-08-04T16:59:47.843960Z","submitted_at":"2015-10-01T09:03:44Z","title":"Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.00149","snapshot_observed_at":"2026-08-11T12:35:20.763058Z","title":"Mao, and W.J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.763058Z"},"links":{"cited_paper":"/paper/1510.00149","citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:0fbd66c14782d57d8a482ee8a4cb1040414ad301e363c3d607bc7a3318d4aef7","observation_id":"b9e23637-ac11-4bd5-984b-57c6da82dac8","resolution":{"observed_at":"2026-08-11T12:35:20.763058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.07872","last_updated":"2019-06-18T04:48:29Z","snapshot_observed_at":"2026-07-06T07:22:12.755052Z","submitted_at":"2018-12-19T10:54:32Z","title":"Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)","version":3},"cited_work":{"arxiv_id":"1812.07872","doi":null,"metadata_source":"pith","pith_arxiv_id":"1812.07872","snapshot_observed_at":"2026-08-11T12:35:20.873142Z","title":"Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)","venue":"cs.LG","work_id":"29ed0632-28d7-417c-9c28-148765f97c2d","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.767309Z"},"links":{"cited_paper":"/paper/1812.07872","citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:915bc534490abb3f73285a2b7e0591515d15788c0491b3ae39ae21b9527bee6c","observation_id":"e8c36fe4-4db4-4d04-96aa-a85178b158d2","resolution":{"observed_at":"2026-08-11T12:35:20.877670Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.012367Z","title":"Quantization and training o f neural networks for efficient integer -arithmetic-only inference","venue":null,"work_id":"9168bec5-8f20-49d2-8e76-6f8f8e532934","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.771129Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:cb8ba55d2486c8f37fc1f355b888bd88423d5ccff25551ecd58f5771fb43ec53","observation_id":"f3312877-7959-4a73-90d4-f0659e2cda0c","resolution":{"observed_at":"2026-08-11T12:35:21.017139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:21.001626Z","title":"Wang, and W","venue":null,"work_id":"dfc9efad-e157-4de9-9bc1-622bc3235d1b","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.774754Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:87284b1ac2fb1648621e1eafd9ed5918ed3e83731b9a4842e130b7d07e4298c0","observation_id":"4e836742-3f48-4cf5-86b3-680173a84f14","resolution":{"observed_at":"2026-08-11T12:35:21.005428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.00571","last_updated":"2019-05-02T04:37:27Z","snapshot_observed_at":"2026-08-05T05:13:02.019951Z","submitted_at":"2019-05-02T04:37:27Z","title":"26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone","version":1},"cited_work":{"arxiv_id":"1905.00571","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.00571","snapshot_observed_at":"2026-08-11T12:35:20.857275Z","title":"26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone","venue":"cs.LG","work_id":"be41a21d-4389-44a3-819e-4754d450b449","year":2019},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.778401Z"},"links":{"cited_paper":"/paper/1905.00571","citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:1b620a282276bc5dda02e1d95394cb9710c55420c5d5531f96527019f7a0279b","observation_id":"62c60312-fc4f-480b-9a07-7381dc35636e","resolution":{"observed_at":"2026-08-11T12:35:20.861982Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.01395","last_updated":"2019-07-13T18:55:59Z","snapshot_observed_at":"2026-08-05T02:34:40.215293Z","submitted_at":"2018-11-04T16:16:45Z","title":"A Deep One-Shot Network for Query-based Logo Retrieval","version":5},"cited_work":{"arxiv_id":"1811.01395","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.01395","snapshot_observed_at":"2026-08-11T12:35:20.838670Z","title":"A Deep One-Shot Network for Query-based Logo Retrieval","venue":"cs.CV","work_id":"f7fbedec-bd2e-4fb5-9fb8-a337629ff0b3","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.782284Z"},"links":{"cited_paper":"/paper/1811.01395","citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:185e5b1066b093e47795876d1ec4062ada4fae21eb2fad471d563b61067369b2","observation_id":"be488e6a-58d6-4da3-a34e-73cc3caf7a39","resolution":{"observed_at":"2026-08-11T12:35:20.845455Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:20.990039Z","title":"Accelerating Deep Learning inference on mobile system s","venue":null,"work_id":"7b276e90-71d4-4c4e-9aee-15207851d5bb","year":2019},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.786203Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:58184a535ac94d18898eec16344d1af0120d1f06e4791fc4c57dd532c366b14d","observation_id":"d3d48ad3-658c-4223-bfe5-265511d57a33","resolution":{"observed_at":"2026-08-11T12:35:20.994105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:20.977757Z","title":null,"venue":null,"work_id":"8f35f812-f333-4a2a-869e-12deabdcb1b1","year":2013},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.789924Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:33ffcc476f2cdc616dd806eeefcabc0e187f4c66fe90a4a838f480b434dd1676","observation_id":"6348f078-267a-4086-817f-280db9447ac0","resolution":{"observed_at":"2026-08-11T12:35:20.981809Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:20.965857Z","title":null,"venue":null,"work_id":"ccad2e4d-ab4d-499f-813d-73a6fa7d8898","year":1982},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.793611Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:58ea9320685d4ea36eb9e9ff4edb62d20a67828b36ffc7f9cf938b5a62142fc5","observation_id":"06760513-d977-41c7-9ff7-09d60bd71000","resolution":{"observed_at":"2026-08-11T12:35:20.969893Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:20.954392Z","title":"Yoon, and M","venue":null,"work_id":"e82de3f6-1920-44d0-944c-9c3fce8cd2c6","year":2020},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.797617Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:98de0cea09f3716db272ace2bcc41956b66fbcd72e8f0bf4d435bec131f19698","observation_id":"1c04fa4a-046f-41e8-a14d-e8f8ba1324cb","resolution":{"observed_at":"2026-08-11T12:35:20.958271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:20.943380Z","title":"MIS quarterly, 2004","venue":null,"work_id":"55dbcfbf-c94f-4045-b33d-43a42ad4793f","year":2004},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.801174Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:86ae7808b6b4b5e5d99d213e5423c63641bb06d1def3b25bf2984c8b88805b54","observation_id":"ee8d6082-9bec-41fe-82a7-1a5b8eee6b21","resolution":{"observed_at":"2026-08-11T12:35:20.947190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:20.931426Z","title":"What is measurement stability","venue":null,"work_id":"8ade94da-7fd7-45b3-9e15-592ee59e4ce8","year":2018},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.804650Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:5c291f1095c7d66cea3aff2d8b5159be28c510ba870b385fdc543796b624f4a0","observation_id":"f2f5a51d-d49f-4ac7-b81f-ded8260f2d78","resolution":{"observed_at":"2026-08-11T12:35:20.935400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T12:35:20.918731Z","title":null,"venue":null,"work_id":"a35d368b-dff8-48ec-8f58-41ec2952c48d","year":2004},"citing_paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T12:35:20.808187Z"},"links":{"citing_paper":"/paper/2501.06191"},"observation_digest":"sha256:abcf638e5a58b7b5a60969d6f461f029fc98c776a704de9dc4f8a5be36c7772b","observation_id":"da77bd94-c1c6-4b0a-bb65-f7a816d1cbc6","resolution":{"observed_at":"2026-08-11T12:35:20.922708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.06191","last_updated":"2024-12-18T16:50:50Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-12T03:10:44.796281Z","submitted_at":"2024-12-18T16:50:50Z","title":"Towards Applying Deep Learning to The Internet of Things: A Model and A Framework"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":39},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.06191."}