{"as_of":"2026-08-10T03:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:87b4adf27753236d2662679eace1e184ecd80e17b465d5f149d0e2e84b22d637","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:11:29.468473Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T18:55:58.725285Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.13820","last_updated":"2024-02-21T13:59:21Z","snapshot_observed_at":"2026-07-06T17:33:25.448648Z","submitted_at":"2024-02-21T13:59:21Z","title":"FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13820","snapshot_observed_at":"2026-08-07T15:11:29.468473Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16084","last_updated":"2025-08-29T00:57:31Z","snapshot_observed_at":"2026-08-08T16:55:53.450056Z","submitted_at":"2025-05-21T23:56:11Z","title":"Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:11:29.468473Z"},"links":{"cited_paper":"/paper/2402.13820","citing_paper":"/paper/2505.16084"},"observation_digest":"sha256:74211f121b8086f833221bfaaf9e58ed7eeda4306c0a6fef49bff3266b7debeb","observation_id":"4518a5df-8b27-478c-b54a-733a0f45cef0","resolution":{"observed_at":"2026-08-07T15:11:29.468473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13820","last_updated":"2024-02-21T13:59:21Z","snapshot_observed_at":"2026-07-06T17:33:25.448648Z","submitted_at":"2024-02-21T13:59:21Z","title":"FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13820","snapshot_observed_at":"2026-08-06T19:18:52.913989Z","title":"Versatile skill control via self-supervised adversarial imitation of unlabeled mixed motions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05906","last_updated":"2025-07-15T11:07:33Z","snapshot_observed_at":"2026-08-09T06:05:37.774695Z","submitted_at":"2025-07-08T11:45:51Z","title":"Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:18:52.913989Z"},"links":{"cited_paper":"/paper/2402.13820","citing_paper":"/paper/2507.05906"},"observation_digest":"sha256:41ffeddfb53f40854552e7a62de9607a0252187f782c307fd1e8850b6e5873a7","observation_id":"386d583c-cfbd-4eac-892e-1b69105a76bb","resolution":{"observed_at":"2026-08-06T19:18:52.913989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13820","last_updated":"2024-02-21T13:59:21Z","snapshot_observed_at":"2026-07-06T17:33:25.448648Z","submitted_at":"2024-02-21T13:59:21Z","title":"FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13820","snapshot_observed_at":"2026-08-06T11:11:04.805499Z","title":"Fld: Fourier latent dynamics for structured motion representation and learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23053","last_updated":"2025-08-10T17:02:23Z","snapshot_observed_at":"2026-08-08T22:53:16.436523Z","submitted_at":"2025-07-30T19:29:14Z","title":"In-between Motion Generation Based Multi-Style Quadruped Robot Locomotion","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T11:11:04.805499Z"},"links":{"cited_paper":"/paper/2402.13820","citing_paper":"/paper/2507.23053"},"observation_digest":"sha256:2a6637b16d25143c7a7f725f6fa50d766f438225ee73ea56d8cad4c5901eee5c","observation_id":"a40f1b52-c4fb-4f7d-b09c-8941d28d312a","resolution":{"observed_at":"2026-08-06T11:11:04.805499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13820","last_updated":"2024-02-21T13:59:21Z","snapshot_observed_at":"2026-07-06T17:33:25.448648Z","submitted_at":"2024-02-21T13:59:21Z","title":"FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning","version":1},"cited_work":{"arxiv_id":"2402.13820","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.13820","snapshot_observed_at":"2026-07-01T18:55:58.725285Z","title":"Fld: Fourier latent dynamics for structured motion representation and learning.arXiv preprint arXiv:2402.13820, 2024","venue":null,"work_id":"fcab8913-f3d4-454b-a33d-8e201d611d5a","year":2024},"citing_paper":{"arxiv_id":"2606.27467","last_updated":"2026-06-25T18:42:07Z","snapshot_observed_at":"2026-08-06T22:22:40.310009Z","submitted_at":"2026-06-25T18:42:07Z","title":"Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T01:23:21.182553Z"},"links":{"cited_paper":"/paper/2402.13820","citing_paper":"/paper/2606.27467"},"observation_digest":"sha256:55871512a6a96320406c8d94fcfd2ca9fa947a9b18f2f493de265cf6ae17b54d","observation_id":"99e1de39-0aea-42d7-98ca-e1e8bf4b2f32","resolution":{"observed_at":"2026-07-01T18:55:58.726699Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.13820/citation-record","integrity":"/paper/2402.13820/integrity","json":"/paper/2402.13820/citation-record.json","paper":"/paper/2402.13820"},"outbound":[],"paper":{"arxiv_id":"2402.13820","last_updated":"2024-02-21T13:59:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:33:25.448648Z","submitted_at":"2024-02-21T13:59:21Z","title":"FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.13820."}