{"as_of":"2026-08-13T13:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e332276d3dfb21b44f9a6d36bf9810839b6821d95eee99d4a1782fb80cfe734","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T19:26:45.287828Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/1906.09086/citation-record","integrity":"/paper/1906.09086/integrity","json":"/paper/1906.09086/citation-record.json","paper":"/paper/1906.09086"},"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":null,"venue":null,"work_id":"608f413a-2fad-40d3-97cf-3f55f891b168","year":2016},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:285ea4b305aac4cf78c83844fd4a5af9dea4bc178c1b850f2baa803f9e909a48","observation_id":"b74fab57-dcc4-4796-9ce8-fdfb297e17c2","resolution":{"observed_at":"2026-05-25T19:27:10.506393Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":null,"venue":null,"work_id":"964f1e28-6680-42c0-ba7c-ec525e7f480c","year":2018},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:a5b48d938bc19bffcf53d5babacafeb7979bdc5dbcbbaa3c5313eaf836a75fba","observation_id":"7d8f2788-16d6-4fe9-ac6f-b3dc62298077","resolution":{"observed_at":"2026-05-25T19:27:10.476973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"URL: https://www.wordstream","venue":null,"work_id":"4e8d5f70-5c38-44d8-96f2-b87744cf6662","year":2018},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:c6e2cd4ae1d0d9d870dee096d43f0836b4426304374140f96badda937559f7d8","observation_id":"8e19f473-2d2c-4498-a0c8-175053e0ddf6","resolution":{"observed_at":"2026-05-25T19:27:10.526507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"Developing a predictive model of quality of experience for internet video","venue":null,"work_id":"962db104-45ed-4860-ad2a-f8088235a718","year":2013},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:39378c3b213e28d149b5e2c11c7b56626e89798c9b69cbbe47425e5d321f7602","observation_id":"c71f436c-d4f5-4dda-884e-d01f3d6be057","resolution":{"observed_at":"2026-05-25T19:27:10.497349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"Video stream quality impacts viewer behavior: inferring causality us- ing quasi-experimental designs","venue":null,"work_id":"19eec95a-26fe-4c16-8578-f14f72876c2f","year":2013},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:f101520f1c08fb1bfde5b99ad6f9503b4be620a76ca5d2c7ee7a37df65d2dcf9","observation_id":"e9f9fe18-09c7-433f-9c1b-a7ce877ef14d","resolution":{"observed_at":"2026-05-25T19:27:10.484685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"Scaling social media applications into geo- distributed clouds","venue":null,"work_id":"b0f3fce0-3c6a-43de-82b0-907565a9384b","year":2015},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:1a64a855cb0302211f144f6b47ced1f6212eae47a872f834c75ce7ec5afc70c8","observation_id":"71d76d76-b4f6-4fdc-a2bb-d61336d595c0","resolution":{"observed_at":"2026-05-25T19:27:10.518604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"Coping with heterogeneous video contributors and viewers in crowdsourced live streaming: A cloud-based approach","venue":null,"work_id":"460c2776-f965-4a99-beca-45e30883691f","year":2016},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:3acc75fde3db4079f459c0cc045e2064c856481d6307b7cd6efbfea16ea4b0fd","observation_id":"db8cd279-6405-41d3-8eb3-ea51e5011a88","resolution":{"observed_at":"2026-05-25T19:27:10.514072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"QoE-aware distributed cloud-based live streaming of multisourced multiview videos","venue":null,"work_id":"504f8281-a5db-4abf-98e5-c35de317589a","year":2018},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:383090237be874c14762896e3bc154f887ebdb103ccdaa5903fe5b09df8f9749","observation_id":"9c884ed5-bff6-4926-ab83-530f38cbf6e0","resolution":{"observed_at":"2026-05-25T19:27:10.473591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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 machine learning-based framework for preventing video freezes in HTTP adaptive streaming","venue":null,"work_id":"19db0be9-d3c2-4507-8bd7-0b580a6aa250","year":2017},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:b9da6c3ebe65c42d710506b22d4e4f6545e3a5f9aae66a8e9005419f377a7d15","observation_id":"88c94250-676b-4e2f-812b-810edf5541fc","resolution":{"observed_at":"2026-05-25T19:27:10.510167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"Improving Adaptive Video Streaming through Machine Learning","venue":null,"work_id":"2cf3b8cd-0f2c-4475-9d9a-7766a4de1b73","year":2018},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:fd4f6d6f0e342316a789e3195b849a67dc0c530a4bb59b0400eee96a358cdd11","observation_id":"73a130dc-ff05-45c6-ae95-29dd950b98b0","resolution":{"observed_at":"2026-05-25T19:27:10.480939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"User Mapping Strategies in Multi-Cloud Streaming: A Data-Driven Approach","venue":null,"work_id":"c8957e9b-f075-45ea-b95c-272e2f07cf07","year":2016},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:90554e766e9bbf859e2b7c7ce221872dff75bab266d02e1bcea4c66164d23dd6","observation_id":"1c5a3877-550b-4e9c-a36b-b26ea2f3c64c","resolution":{"observed_at":"2026-05-25T19:27:10.470094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"URL: https://sites.google.com/ view/facebookvideoslive18/home","venue":null,"work_id":"a7d527c2-1fd4-4b7f-b6de-2ed479f277d2","year":null},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:d33b54b63fafaf7d7aa71adb2ae322ca84b943097812051a2a11662c7fc94030","observation_id":"8df5b625-6388-40d1-af9d-265d10d34f60","resolution":{"observed_at":"2026-05-25T19:27:10.489613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"URL: https://aws.amazon.com/ about-aws/global-infrastructure/","venue":null,"work_id":"9cea8d5d-013b-4054-a0bb-5522131cf7fd","year":null},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:a1a80e70014ff9fca683a741d57d93bbdc6345454ca9e38bb36e27e255c09005","observation_id":"c868aa84-6322-44d9-aea8-2e6f33b27f95","resolution":{"observed_at":"2026-05-25T19:27:10.502047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"Feature hashing for large scale multitask learning","venue":null,"work_id":"87b5e2b9-2d24-403b-af5b-d15400bfd4a8","year":2009},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:a3c0b81318c126079f1d4a4827e9fb9b95230dab1885f3859cb519c34969d18d","observation_id":"683dd371-cc5b-49c9-8044-403e1882d878","resolution":{"observed_at":"2026-05-25T19:27:10.465851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"URL: https://aws.amazon.com/s3/ pricing/","venue":null,"work_id":"44f37492-5aa6-469b-aac4-44d7d8a3ef09","year":null},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:cfa4beb4081eef5414ef13098101abeac9d5f6a7306836f8a0695e819c7dd437","observation_id":"5ada74d7-9c2b-4ef6-8934-e96e61783bde","resolution":{"observed_at":"2026-05-25T19:27:10.522867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"URL: https://wondernetwork.com/pings","venue":null,"work_id":"0f2b8d7e-67aa-4644-9160-6251bda06ab7","year":null},"citing_paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-25T19:26:45.287828Z"},"links":{"citing_paper":"/paper/1906.09086"},"observation_digest":"sha256:cb2bac4d861f3cae2af50f40e986dffd39cad4244b68df8f8d9d88923ea8e265","observation_id":"dd4de53a-c49e-4c96-9fb4-47cd1b1c8208","resolution":{"observed_at":"2026-05-25T19:27:10.493454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1906.09086","last_updated":"2019-06-20T10:57:06Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T08:01:56.889987Z","submitted_at":"2019-06-20T10:57:06Z","title":"QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":16},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1906.09086."}