{"as_of":"2026-08-08T10:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:28aee5c58442b17e012fe10c1c2d0eb14915febbfd4ea0e47558c80637d81195","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:22:13.345957Z","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":"2026-08-04T20:49:01.537365Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.07587","last_updated":"2024-10-08T11:07:08Z","snapshot_observed_at":"2026-08-05T16:35:01.719928Z","submitted_at":"2024-07-10T12:20:11Z","title":"Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07587","snapshot_observed_at":"2026-08-06T14:22:13.345957Z","title":"Let occ flow: Self- supervised 3d occupancy flow prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19451","last_updated":"2025-08-02T16:10:54Z","snapshot_observed_at":"2026-08-06T20:10:21.455978Z","submitted_at":"2025-07-25T17:33:23Z","title":"GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T14:22:13.345957Z"},"links":{"cited_paper":"/paper/2407.07587","citing_paper":"/paper/2507.19451"},"observation_digest":"sha256:fbcd775c02169c27c42e83184909dfd60622d92ac3c1837ab9f51acfb4606445","observation_id":"c8a39bb9-8246-4efe-9bc6-284389e27181","resolution":{"observed_at":"2026-08-06T14:22:13.345957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07587","last_updated":"2024-10-08T11:07:08Z","snapshot_observed_at":"2026-08-05T16:35:01.719928Z","submitted_at":"2024-07-10T12:20:11Z","title":"Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07587","snapshot_observed_at":"2026-08-06T13:10:19.610656Z","title":"Let occ flow: Self-supervised 3d occupancy flow prediction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20963","last_updated":"2025-07-28T16:18:29Z","snapshot_observed_at":"2026-08-08T04:44:48.616625Z","submitted_at":"2025-07-28T16:18:29Z","title":"GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T13:10:19.610656Z"},"links":{"cited_paper":"/paper/2407.07587","citing_paper":"/paper/2507.20963"},"observation_digest":"sha256:5b33138dd3f4bf6016aaebb7f696b869f9e98ec53ace704a0e65f826f80b4442","observation_id":"67590b7a-4b4d-4e37-bf6c-26cd78b0ff9b","resolution":{"observed_at":"2026-08-06T13:10:19.610656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07587","last_updated":"2024-10-08T11:07:08Z","snapshot_observed_at":"2026-08-05T16:35:01.719928Z","submitted_at":"2024-07-10T12:20:11Z","title":"Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction","version":3},"cited_work":{"arxiv_id":"2407.07587","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.07587","snapshot_observed_at":"2026-08-04T20:49:01.537365Z","title":"Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction","venue":"cs.CV","work_id":"66f539b3-07f7-40c1-8538-21298005ee5f","year":2024},"citing_paper":{"arxiv_id":"2509.08388","last_updated":"2025-09-10T08:29:22Z","snapshot_observed_at":"2026-08-04T20:48:53.241357Z","submitted_at":"2025-09-10T08:29:22Z","title":"Semantic Causality-Aware Vision-Based 3D Occupancy Prediction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T20:48:58.591854Z"},"links":{"cited_paper":"/paper/2407.07587","citing_paper":"/paper/2509.08388"},"observation_digest":"sha256:f63ec10f6c9622f3959f5acbc9484624433cb5759ac65d0a59d903f42e9cbfa6","observation_id":"dd512924-6502-4325-baf3-0ca6b2a411e2","resolution":{"observed_at":"2026-08-04T20:49:01.586477Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.07587/citation-record","integrity":"/paper/2407.07587/integrity","json":"/paper/2407.07587/citation-record.json","paper":"/paper/2407.07587"},"outbound":[],"paper":{"arxiv_id":"2407.07587","last_updated":"2024-10-08T11:07:08Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T16:35:01.719928Z","submitted_at":"2024-07-10T12:20:11Z","title":"Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.07587."}