{"as_of":"2026-08-10T12:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65d9d043b24e492457ed3083e07ccf97e315933dd59ce677ea0ececc0384e254","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:26:28.408361Z","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":"2026-07-03T17:08:43.593600Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.10809","last_updated":"2024-11-07T02:15:51Z","snapshot_observed_at":"2026-07-06T17:45:35.519457Z","submitted_at":"2024-03-16T04:57:23Z","title":"Efficient Trajectory Forecasting and Generation with Conditional Flow Matching","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10809","snapshot_observed_at":"2026-08-07T00:26:28.408361Z","title":"Efficient Trajectory Forecasting and Generation with Conditional Flow Matching","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14287","last_updated":"2025-06-17T07:59:07Z","snapshot_observed_at":"2026-08-10T11:25:25.351747Z","submitted_at":"2025-06-17T07:59:07Z","title":"Steering Robots with Inference-Time Interactions","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T00:26:28.408361Z"},"links":{"cited_paper":"/paper/2403.10809","citing_paper":"/paper/2506.14287"},"observation_digest":"sha256:e2b62a24e2ae1b306a16856225a9ad3c852077cbbbca28dced51a2641ba1897f","observation_id":"484b8c9e-0d86-4c59-bd7e-6668ea18e6d1","resolution":{"observed_at":"2026-08-07T00:26:28.408361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10809","last_updated":"2024-11-07T02:15:51Z","snapshot_observed_at":"2026-07-06T17:45:35.519457Z","submitted_at":"2024-03-16T04:57:23Z","title":"Efficient Trajectory Forecasting and Generation with Conditional Flow Matching","version":2},"cited_work":{"arxiv_id":"2403.10809","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.10809","snapshot_observed_at":"2026-07-03T17:08:43.593600Z","title":"Efficient trajectory fore- casting and generation with conditional flow matching,","venue":null,"work_id":"696089ef-d64b-4ec9-a505-b431163691a2","year":2024},"citing_paper":{"arxiv_id":"2606.20686","last_updated":"2026-06-14T11:15:44Z","snapshot_observed_at":"2026-08-06T22:39:30.955844Z","submitted_at":"2026-06-14T11:15:44Z","title":"JPPD: Joint Prediction_Planning Diffusion with Differentiable Safety Guidance for Dynamic Obstacle Avoidance in Intelligent Transportation Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T04:33:25.088451Z"},"links":{"cited_paper":"/paper/2403.10809","citing_paper":"/paper/2606.20686"},"observation_digest":"sha256:abecf78923b4e4bff057e8ad3a6514d3632601f6e40ef0d7c4ba1939a701f5e4","observation_id":"78855d5c-65f4-49c4-83e5-9a492e750df0","resolution":{"observed_at":"2026-07-03T17:08:43.595349Z","resolver_source":"arxiv_id","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/2403.10809/citation-record","integrity":"/paper/2403.10809/integrity","json":"/paper/2403.10809/citation-record.json","paper":"/paper/2403.10809"},"outbound":[],"paper":{"arxiv_id":"2403.10809","last_updated":"2024-11-07T02:15:51Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T17:45:35.519457Z","submitted_at":"2024-03-16T04:57:23Z","title":"Efficient Trajectory Forecasting and Generation with Conditional Flow Matching"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.10809."}