{"as_of":"2026-08-11T06:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed2ea6ada14db93b627bd4d7139903f42d11a9e758e8c02e1d93096232b53c10","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T21:20:17.758504Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-04T20:20:07.263427Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1703.04529","last_updated":"2019-04-25T15:39:04Z","snapshot_observed_at":"2026-08-03T20:10:10.458252Z","submitted_at":"2017-03-13T17:58:36Z","title":"Task-based End-to-end Model Learning in Stochastic Optimization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.04529","snapshot_observed_at":"2026-08-09T21:20:17.758504Z","title":"Donti, Brandon Amos, and J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.19144","last_updated":"2025-08-15T15:15:38Z","snapshot_observed_at":"2026-08-10T07:47:07.430671Z","submitted_at":"2025-01-31T13:58:16Z","title":"Prediction-Aware Learning in Multi-Agent Systems","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-09T21:20:17.758504Z"},"links":{"cited_paper":"/paper/1703.04529","citing_paper":"/paper/2501.19144"},"observation_digest":"sha256:dc96b70bea4bc56c914b437274b60e17c833856bf4448a9dc53e1da40a4ca390","observation_id":"ab2520c2-a292-43f3-bc93-f315f68737e5","resolution":{"observed_at":"2026-08-09T21:20:17.758504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.04529","last_updated":"2019-04-25T15:39:04Z","snapshot_observed_at":"2026-08-03T20:10:10.458252Z","submitted_at":"2017-03-13T17:58:36Z","title":"Task-based End-to-end Model Learning in Stochastic Optimization","version":4},"cited_work":{"arxiv_id":"1703.04529","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.04529","snapshot_observed_at":"2026-07-04T20:20:07.263427Z","title":"Task-based End-to-end Model Learning in Stochastic Optimization","venue":"cs.LG","work_id":"ff8ec60a-580e-409c-8cd6-18833c75d833","year":2017},"citing_paper":{"arxiv_id":"2606.24996","last_updated":"2026-06-23T15:59:17Z","snapshot_observed_at":"2026-08-09T20:43:09.110880Z","submitted_at":"2026-06-23T15:59:17Z","title":"From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T00:18:20.146234Z"},"links":{"cited_paper":"/paper/1703.04529","citing_paper":"/paper/2606.24996"},"observation_digest":"sha256:e80cf83daf81910816af4681fbfc41a36439d9296c1bc73b72d302ca65770756","observation_id":"d09968c5-88fd-4c9c-b7a5-0be1248fc11a","resolution":{"observed_at":"2026-07-04T16:39:58.504129Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.04529","last_updated":"2019-04-25T15:39:04Z","snapshot_observed_at":"2026-08-03T20:10:10.458252Z","submitted_at":"2017-03-13T17:58:36Z","title":"Task-based End-to-end Model Learning in Stochastic Optimization","version":4},"cited_work":{"arxiv_id":"1703.04529","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.04529","snapshot_observed_at":"2026-07-04T20:20:07.263427Z","title":"Task-based End-to-end Model Learning in Stochastic Optimization","venue":"cs.LG","work_id":"ff8ec60a-580e-409c-8cd6-18833c75d833","year":2017},"citing_paper":{"arxiv_id":"2606.25808","last_updated":"2026-06-24T13:23:19Z","snapshot_observed_at":"2026-08-11T02:06:05.867629Z","submitted_at":"2026-06-24T13:23:19Z","title":"Generating Input Distributions for Explaining Portfolio Optimization Pipelines","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-25T20:21:08.550997Z"},"links":{"cited_paper":"/paper/1703.04529","citing_paper":"/paper/2606.25808"},"observation_digest":"sha256:852d4b8cb6428db6b0449097c303eb92e4e067a0140dc351a8231da420a5ade8","observation_id":"9153a8ea-e520-433c-818a-a4a2d2c03124","resolution":{"observed_at":"2026-07-04T20:20:07.265073Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1703.04529/citation-record","integrity":"/paper/1703.04529/integrity","json":"/paper/1703.04529/citation-record.json","paper":"/paper/1703.04529"},"outbound":[],"paper":{"arxiv_id":"1703.04529","last_updated":"2019-04-25T15:39:04Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T20:10:10.458252Z","submitted_at":"2017-03-13T17:58:36Z","title":"Task-based End-to-end Model Learning in Stochastic Optimization"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1703.04529."}