{"as_of":"2026-08-11T06:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:131dc5bfc56f342d48f1bf264b2b20f5386480b70180679cb15ce18e59b2e6cf","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":"2026-08-09T10:11:03.723941Z","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":"2026-08-09T10:11:19.327464Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.08996","last_updated":"2024-02-14T07:48:40Z","snapshot_observed_at":"2026-08-10T23:31:16.564836Z","submitted_at":"2024-02-14T07:48:40Z","title":"Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped robots","version":1},"cited_work":{"arxiv_id":"2402.08996","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.08996","snapshot_observed_at":"2026-08-09T10:11:19.327464Z","title":"Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped robots","venue":"cs.RO","work_id":"f689f15e-9a43-42f4-b0b2-42d1c47a7e38","year":2024},"citing_paper":{"arxiv_id":"2502.03035","last_updated":"2025-02-05T09:46:31Z","snapshot_observed_at":"2026-08-10T11:21:49.797077Z","submitted_at":"2025-02-05T09:46:31Z","title":"UMC: Unified Resilient Controller for Legged Robots with Joint Malfunctions","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-09T10:11:03.723941Z"},"links":{"cited_paper":"/paper/2402.08996","citing_paper":"/paper/2502.03035"},"observation_digest":"sha256:3650a4f99cf7bfe47674308cb8faefcc79105c4f48b926207dd4f69713ee0d71","observation_id":"46da30b7-edd9-4124-a472-42a65d7eddfb","resolution":{"observed_at":"2026-08-09T10:11:19.331630Z","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/2402.08996/citation-record","integrity":"/paper/2402.08996/integrity","json":"/paper/2402.08996/citation-record.json","paper":"/paper/2402.08996"},"outbound":[],"paper":{"arxiv_id":"2402.08996","last_updated":"2024-02-14T07:48:40Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-10T23:31:16.564836Z","submitted_at":"2024-02-14T07:48:40Z","title":"Multi-Task Learning of Active Fault-Tolerant Controller for Leg Failures in Quadruped robots"},"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:2402.08996."}