{"as_of":"2026-08-07T16:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06f793a60f629c916d64fa3b179b3b5502fa2d59cc620813c3dd26f84b690058","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:20:25.331497Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":133,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.12430","last_updated":"2019-10-28T04:08:18Z","snapshot_observed_at":"2026-07-06T08:32:36.484059Z","submitted_at":"2019-10-28T04:08:18Z","title":"Differentiable Convex Optimization Layers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.12430","snapshot_observed_at":"2026-08-07T04:20:25.331497Z","title":"In Advances in Neural Information Processing Systems (NeurIPS 2019) , Vol","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10872","last_updated":"2025-08-01T22:10:35Z","snapshot_observed_at":"2026-08-07T04:13:14.097277Z","submitted_at":"2025-06-12T16:38:51Z","title":"The Gittins Index: A Design Principle for Decision-Making Under Uncertainty","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T04:20:25.331497Z"},"links":{"cited_paper":"/paper/1910.12430","citing_paper":"/paper/2506.10872"},"observation_digest":"sha256:6c4468d05912c142ebd7fb06d10fcc0fb4e4acc91f9a980a48b2e844c6bdd607","observation_id":"9f6a7828-62ea-4ec2-ac79-a90a5d4d1bb8","resolution":{"observed_at":"2026-08-07T04:20:25.331497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.12430","last_updated":"2019-10-28T04:08:18Z","snapshot_observed_at":"2026-07-06T08:32:36.484059Z","submitted_at":"2019-10-28T04:08:18Z","title":"Differentiable Convex Optimization Layers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.12430","snapshot_observed_at":"2026-08-06T11:34:20.442610Z","title":"Differentiable Convex Optimization Layers,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.22640","last_updated":"2025-07-30T12:58:02Z","snapshot_observed_at":"2026-08-07T13:21:29.570088Z","submitted_at":"2025-07-30T12:58:02Z","title":"Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T11:34:20.442610Z"},"links":{"cited_paper":"/paper/1910.12430","citing_paper":"/paper/2507.22640"},"observation_digest":"sha256:bb8a2ec15c870276e8891d1074bd98ee79f6d67cc7e76972bd0260a398f9e221","observation_id":"feab1efd-3c40-4dfb-9e6a-13241dd895b7","resolution":{"observed_at":"2026-08-06T11:34:20.442610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.12430","last_updated":"2019-10-28T04:08:18Z","snapshot_observed_at":"2026-07-06T08:32:36.484059Z","submitted_at":"2019-10-28T04:08:18Z","title":"Differentiable Convex Optimization Layers","version":1},"cited_work":{"arxiv_id":"1910.12430","doi":"10.48550/arxiv.1910.12430","metadata_source":"arxiv_reference","pith_arxiv_id":"1910.12430","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differentiable Convex Optimization Layers, October 2019","venue":"arXiv (Cornell University)","work_id":"2e422398-4106-4d23-a245-f2ff6ddb4028","year":1910},"citing_paper":{"arxiv_id":"2510.16243","last_updated":"2026-04-30T16:11:32Z","snapshot_observed_at":"2026-08-06T15:41:36.610612Z","submitted_at":"2025-10-17T22:19:19Z","title":"A flexible and differentiable coil proxy for stellarator equilibrium optimization","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-18T05:48:23.554884Z"},"links":{"cited_paper":"/paper/1910.12430","citing_paper":"/paper/2510.16243"},"observation_digest":"sha256:86e053fadeab3bfb2a08d8b052431f795f157a1811295d29e36e6deed368f876","observation_id":"e376f3bf-a597-468b-9791-0a96a83a535f","resolution":{"observed_at":"2026-05-18T05:50:57.118493Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.12430","last_updated":"2019-10-28T04:08:18Z","snapshot_observed_at":"2026-07-06T08:32:36.484059Z","submitted_at":"2019-10-28T04:08:18Z","title":"Differentiable Convex Optimization Layers","version":1},"cited_work":{"arxiv_id":"1910.12430","doi":"10.48550/arxiv.1910.12430","metadata_source":"arxiv_reference","pith_arxiv_id":"1910.12430","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differentiable Convex Optimization Layers, October 2019","venue":"arXiv (Cornell University)","work_id":"2e422398-4106-4d23-a245-f2ff6ddb4028","year":1910},"citing_paper":{"arxiv_id":"2604.11507","last_updated":"2026-04-13T14:11:06Z","snapshot_observed_at":"2026-07-06T22:59:54.573362Z","submitted_at":"2026-04-13T14:11:06Z","title":"Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T15:40:10.971282Z"},"links":{"cited_paper":"/paper/1910.12430","citing_paper":"/paper/2604.11507"},"observation_digest":"sha256:23fdafeb49a43dfe718b5cfe0a58240a6302f4bfef8e22f8a4e5985ca9c74ce3","observation_id":"b1e46c68-f91e-4510-98c8-364de88d0052","resolution":{"observed_at":"2026-05-11T10:06:01.457235Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.12430","last_updated":"2019-10-28T04:08:18Z","snapshot_observed_at":"2026-07-06T08:32:36.484059Z","submitted_at":"2019-10-28T04:08:18Z","title":"Differentiable Convex Optimization Layers","version":1},"cited_work":{"arxiv_id":"1910.12430","doi":"10.48550/arxiv.1910.12430","metadata_source":"arxiv_reference","pith_arxiv_id":"1910.12430","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differentiable Convex Optimization Layers, October 2019","venue":"arXiv (Cornell University)","work_id":"2e422398-4106-4d23-a245-f2ff6ddb4028","year":1910},"citing_paper":{"arxiv_id":"2604.25848","last_updated":"2026-06-17T14:29:11Z","snapshot_observed_at":"2026-08-02T05:58:57.082028Z","submitted_at":"2026-04-28T16:54:03Z","title":"A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-07T16:14:02.445730Z"},"links":{"cited_paper":"/paper/1910.12430","citing_paper":"/paper/2604.25848"},"observation_digest":"sha256:6ccc2db03680eadc882d2b1f4fdd9306edb7e0dde3cd28ac15e5a0e0c58e64fc","observation_id":"381189d5-aec5-44ae-9b83-e05df474dbed","resolution":{"observed_at":"2026-05-09T01:59:36.010940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.12430","last_updated":"2019-10-28T04:08:18Z","snapshot_observed_at":"2026-07-06T08:32:36.484059Z","submitted_at":"2019-10-28T04:08:18Z","title":"Differentiable Convex Optimization Layers","version":1},"cited_work":{"arxiv_id":"1910.12430","doi":"10.48550/arxiv.1910.12430","metadata_source":"arxiv_reference","pith_arxiv_id":"1910.12430","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differentiable Convex Optimization Layers, October 2019","venue":"arXiv (Cornell University)","work_id":"2e422398-4106-4d23-a245-f2ff6ddb4028","year":1910},"citing_paper":{"arxiv_id":"2606.02294","last_updated":"2026-06-01T14:16:18Z","snapshot_observed_at":"2026-08-06T02:40:12.407253Z","submitted_at":"2026-06-01T14:16:18Z","title":"Regularized Large Neighborhood Search","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-06-28T15:15:11.130848Z"},"links":{"cited_paper":"/paper/1910.12430","citing_paper":"/paper/2606.02294"},"observation_digest":"sha256:f6cf143d175527701538ab8f8aac02128c967ecb165f4d2685f401bf04870492","observation_id":"4b7dec98-2457-4c7f-94ba-dada943e1981","resolution":{"observed_at":"2026-06-28T15:22:19.699531Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1910.12430/citation-record","integrity":"/paper/1910.12430/integrity","json":"/paper/1910.12430/citation-record.json","paper":"/paper/1910.12430"},"outbound":[],"paper":{"arxiv_id":"1910.12430","last_updated":"2019-10-28T04:08:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:32:36.484059Z","submitted_at":"2019-10-28T04:08:18Z","title":"Differentiable Convex Optimization Layers"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1910.12430."}