{"as_of":"2026-08-06T19:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1302c4bbf39df9384bead4eef52b4c61e4b7c948fe5a06a6fc6f8a196b473d8c","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":"2026-08-06T06:34:29.942622+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":"2026-05-18T01:55:04.637365Z","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":"2026-05-18T01:55:37.906296Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.14271","last_updated":"2025-06-17T07:37:08Z","snapshot_observed_at":"2026-07-06T21:43:26.522237Z","submitted_at":"2025-06-17T07:37:08Z","title":"Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment","version":1},"cited_work":{"arxiv_id":"2506.14271","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14271","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Leader360V: The large-scale, real-world 360 video dataset for multi-task learning in diverse environment","venue":null,"work_id":"06c5b988-19ce-4ee4-8aa7-1bb1b13b9ec0","year":2025},"citing_paper":{"arxiv_id":"2511.00510","last_updated":"2026-05-04T13:20:29Z","snapshot_observed_at":"2026-07-31T05:43:28.696987Z","submitted_at":"2025-11-01T11:28:05Z","title":"OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-05-18T01:55:04.637365Z"},"links":{"cited_paper":"/paper/2506.14271","citing_paper":"/paper/2511.00510"},"observation_digest":"sha256:1df3cc142e12e1a92f65cfa24df4fc94e4c8349e062b6605c1a2eb6ae049c4cd","observation_id":"de96d08c-0454-4990-b45c-25a70f39f877","resolution":{"observed_at":"2026-05-18T01:55:37.909623Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14271","last_updated":"2025-06-17T07:37:08Z","snapshot_observed_at":"2026-07-06T21:43:26.522237Z","submitted_at":"2025-06-17T07:37:08Z","title":"Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment","version":1},"cited_work":{"arxiv_id":"2506.14271","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14271","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Leader360V: The large-scale, real-world 360 video dataset for multi-task learning in diverse environment","venue":null,"work_id":"06c5b988-19ce-4ee4-8aa7-1bb1b13b9ec0","year":2025},"citing_paper":{"arxiv_id":"2604.07901","last_updated":"2026-04-09T07:17:47Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:17:47Z","title":"PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T18:27:39.914591Z"},"links":{"cited_paper":"/paper/2506.14271","citing_paper":"/paper/2604.07901"},"observation_digest":"sha256:3e3d19b1d79ef4539695653f80e6a611408f90c5135f741279ea84e7689eba80","observation_id":"5c84c75e-8362-439f-9619-9cc8152fcb2c","resolution":{"observed_at":"2026-05-11T00:30:55.195963Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.14271/citation-record","integrity":"/paper/2506.14271/integrity","json":"/paper/2506.14271/citation-record.json","paper":"/paper/2506.14271"},"outbound":[],"paper":{"arxiv_id":"2506.14271","last_updated":"2025-06-17T07:37:08Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T21:43:26.522237Z","submitted_at":"2025-06-17T07:37:08Z","title":"Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.14271."}