{"as_of":"2026-08-08T10:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:05dbb43f0c27bcadc8cf09b6b097a87fec2d39981c737d164899dbb2aead3f2b","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T10:26:44.007378Z","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":"2026-08-07T10:20:52.808531Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.19321","last_updated":"2024-05-29T17:52:22Z","snapshot_observed_at":"2026-07-06T18:22:10.094519Z","submitted_at":"2024-05-29T17:52:22Z","title":"DGD: Dynamic 3D Gaussians Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19321","snapshot_observed_at":"2026-08-07T10:26:44.007378Z","title":"Dgd: Dynamic 3d gaussians distillation.ArXiv, abs/2405.19321, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-07T10:18:49.427421Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.007378Z"},"links":{"cited_paper":"/paper/2405.19321","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:f47f5cfa75d2aaada4a91f2936108d83715f6eeb18c4755c313568c98dec92e1","observation_id":"0313bb64-4df1-453e-a596-875a347de5d7","resolution":{"observed_at":"2026-08-07T10:26:44.007378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19321","last_updated":"2024-05-29T17:52:22Z","snapshot_observed_at":"2026-07-06T18:22:10.094519Z","submitted_at":"2024-05-29T17:52:22Z","title":"DGD: Dynamic 3D Gaussians Distillation","version":1},"cited_work":{"arxiv_id":"2405.19321","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.19321","snapshot_observed_at":"2026-08-07T10:20:52.808531Z","title":"DGD: Dynamic 3D Gaussians Distillation","venue":"cs.CV","work_id":"eb71b8dd-4297-44d3-8092-4b8125bad2e8","year":2024},"citing_paper":{"arxiv_id":"2506.05563","last_updated":"2025-06-05T20:19:35Z","snapshot_observed_at":"2026-08-08T04:44:52.574655Z","submitted_at":"2025-06-05T20:19:35Z","title":"VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:52.150339Z"},"links":{"cited_paper":"/paper/2405.19321","citing_paper":"/paper/2506.05563"},"observation_digest":"sha256:6f227f6765a4ee11e5a73ba4e7b97031bdb588e5f958d57f05d9ccf41e16bad7","observation_id":"8b646a5b-57c2-4136-8afd-11fe80434cf1","resolution":{"observed_at":"2026-08-07T10:20:52.813572Z","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/2405.19321/citation-record","integrity":"/paper/2405.19321/integrity","json":"/paper/2405.19321/citation-record.json","paper":"/paper/2405.19321"},"outbound":[],"paper":{"arxiv_id":"2405.19321","last_updated":"2024-05-29T17:52:22Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:22:10.094519Z","submitted_at":"2024-05-29T17:52:22Z","title":"DGD: Dynamic 3D Gaussians Distillation"},"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 2 inbound Pith citation observations for arXiv:2405.19321."}