{"as_of":"2026-08-11T05:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c2d1c466e3f85dd12a8f0f72b310c1febe748fdd294709ba37773c37e3aef632","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:07:28.909916Z","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":"2026-08-10T20:07:29.010546Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.14336","last_updated":"2024-09-17T02:19:18Z","snapshot_observed_at":"2026-08-08T07:07:41.444865Z","submitted_at":"2023-12-21T23:43:12Z","title":"Constraint-Informed Learning for Warm Starting Trajectory Optimization","version":2},"cited_work":{"arxiv_id":"2312.14336","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.14336","snapshot_observed_at":"2026-08-10T20:07:29.010546Z","title":"Constraint-Informed Learning for Warm Starting Trajectory Optimization","venue":"cs.RO","work_id":"a332f639-f5c6-4324-94e2-f25f9dc44023","year":2023},"citing_paper":{"arxiv_id":"2501.09450","last_updated":"2025-01-16T10:25:24Z","snapshot_observed_at":"2026-08-10T19:59:09.508055Z","submitted_at":"2025-01-16T10:25:24Z","title":"Real-Time Generation of Near-Minimum-Energy Trajectories via Constraint-Informed Residual Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T20:07:28.909916Z"},"links":{"cited_paper":"/paper/2312.14336","citing_paper":"/paper/2501.09450"},"observation_digest":"sha256:3644b89e5839130655ad17d8cff2d83a627b2f9bcce3c7264e995adeeac66ef9","observation_id":"309c12e9-39d7-484a-88ea-b3ab86025eb5","resolution":{"observed_at":"2026-08-10T20:07:29.018376Z","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/2312.14336/citation-record","integrity":"/paper/2312.14336/integrity","json":"/paper/2312.14336/citation-record.json","paper":"/paper/2312.14336"},"outbound":[],"paper":{"arxiv_id":"2312.14336","last_updated":"2024-09-17T02:19:18Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-08T07:07:41.444865Z","submitted_at":"2023-12-21T23:43:12Z","title":"Constraint-Informed Learning for Warm Starting Trajectory 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 1 inbound Pith citation observation for arXiv:2312.14336."}