{"as_of":"2026-08-16T19:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f5a051f2d02e3642c51ecf30ae163067ce561526dfecf2e66a71d00faa24ea72","coverage":[{"denominator":9,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:33:26.473442Z","state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.02858/citation-record","integrity":"/paper/1908.02858/integrity","json":"/paper/1908.02858/citation-record.json","paper":"/paper/1908.02858"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:33:26.716378Z","title":"Fog computing and its role in the internet of things","venue":null,"work_id":"9d2aed83-58d4-404c-a8ba-97efe2feb3b2","year":2012},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.114086Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:5c508faee8267406e7170c8df191083b66ef52094956deb004813a9f46298b98","observation_id":"7e55e8ff-b590-47b0-a29f-b8dfa30cc279","resolution":{"observed_at":"2026-08-14T14:33:26.722364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:33:26.698573Z","title":"Operations for learning with graphical models","venue":null,"work_id":"ad65e576-c178-4e1b-a573-9a312b8c67d8","year":1994},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.182571Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:8b82458bceb79a2ee3ee3de711c97465f7f7ac0b2d3c678c52503a999d2e36d0","observation_id":"fd31ea64-397e-45e4-9a1a-5f6f60d227dd","resolution":{"observed_at":"2026-08-14T14:33:26.704033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:33:26.682935Z","title":"Workflows and e-science: An overview of workflow system features and capabilities","venue":null,"work_id":"c42e44b1-fded-4013-95cb-51c01e230614","year":2009},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.280039Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:db3dc4da9b99da1fa321c53f397b4ff061fd42b814983462f665aece2878a863","observation_id":"5a844a95-8f0e-4df2-a268-15b97c0cb990","resolution":{"observed_at":"2026-08-14T14:33:26.687775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:33:26.399980Z","title":"Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.399980Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:7ba9de83334ac29614930720af2eeda17ed8083d3b06108da896f08d62a50994","observation_id":"835958c4-4059-4e75-8f68-d06699f218ad","resolution":{"observed_at":"2026-08-14T14:33:26.399980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.05202","last_updated":"2019-03-18T14:44:53Z","snapshot_observed_at":"2026-08-14T17:03:15.649971Z","submitted_at":"2019-03-12T20:41:36Z","title":"Continual Learning in Practice","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.05202","snapshot_observed_at":"2026-08-14T14:33:26.452393Z","title":"Continual learning in practice","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.452393Z"},"links":{"cited_paper":"/paper/1903.05202","citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:1e4e1a3a38ac4f5b5887aa1e776fe8725197de00ad0a63a5639335c8487f25f1","observation_id":"4a8890e9-d4b9-4270-891f-1ed4d2b33772","resolution":{"observed_at":"2026-08-14T14:33:26.452393Z","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":"2026-08-14T14:33:26.666950Z","title":"Data Stream Management: Processing High-Speed Data Streams","venue":null,"work_id":"e5aaaffc-e651-46c5-b8c5-898817a06615","year":2016},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.457919Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:f4c4a1d60e7c54ddf3485a85a7c2521adc4f1a6118dacd21e81ff741d85b32a8","observation_id":"c5ae7921-9eca-4525-a86c-949b3f7eb6da","resolution":{"observed_at":"2026-08-14T14:33:26.672081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:33:26.463807Z","title":"Pedregosa, G","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.463807Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:3becb50dfca217161f6bfb07b1209df1daf4f4f78ae35618250e2ef6678a77d5","observation_id":"f38da757-bffe-4ab2-8ea6-6ec2f5acdfb0","resolution":{"observed_at":"2026-08-14T14:33:26.463807Z","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":"2026-08-14T14:33:26.641115Z","title":"SPHERE : A sensor platform for healthcare in a residential environment","venue":null,"work_id":"1c1d0ae6-b7ef-4548-b418-ee353af9dfb2","year":2017},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.468338Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:aef3379f02b3167055d5175b8dcb31380708e18ed5999d26ea1c9649ffe0e463","observation_id":"5be1c363-8b8c-4926-b4cb-72f7f0e00fb3","resolution":{"observed_at":"2026-08-14T14:33:26.645885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:33:26.620599Z","title":"Bridging e-health and the internet of things: The SPHERE project","venue":null,"work_id":"96c75bb1-04e9-495f-81b1-36611aa24eb8","year":2015},"citing_paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T14:33:26.473442Z"},"links":{"citing_paper":"/paper/1908.02858"},"observation_digest":"sha256:b8ab52ec09570ab8587264aaa69d03265d86e2e9e85149dddef5d5720b352e02","observation_id":"a8258b11-2195-4735-bad5-bef486f93e61","resolution":{"observed_at":"2026-08-14T14:33:26.629776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.02858","last_updated":"2019-08-07T22:08:57Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T18:50:59.170786Z","submitted_at":"2019-08-07T22:08:57Z","title":"HyperStream: a Workflow Engine for Streaming Data"},"reference_resolution":{"displayed":9,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":9},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:1908.02858."}