{"as_of":"2026-08-10T10:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f9f32620250e032a6e7a420387607833765b14b55bc970a4230587253d317b08","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":"2026-08-09T19:57:46.385475Z","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":"2026-08-09T19:51:54.214339Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.04554","last_updated":"2024-05-06T14:06:12Z","snapshot_observed_at":"2026-08-09T23:06:33.287838Z","submitted_at":"2024-05-06T14:06:12Z","title":"Differentially Private Synthetic Data with Private Density Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04554","snapshot_observed_at":"2026-08-09T19:57:46.385475Z","title":"and Loh, P.-L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00192","last_updated":"2025-06-25T22:43:03Z","snapshot_observed_at":"2026-08-09T23:06:46.931403Z","submitted_at":"2025-01-31T22:18:59Z","title":"PRECISE: PRivacy-loss-Efficient and Consistent Inference based on poSterior quantilEs","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-09T19:57:46.385475Z"},"links":{"cited_paper":"/paper/2405.04554","citing_paper":"/paper/2502.00192"},"observation_digest":"sha256:f1dd3bf03d2eb1bbea288ccf04d4d3f35f22444703da8e8be66291ce84f00356","observation_id":"8c769ad0-d3b9-490d-82b7-96bf94bae075","resolution":{"observed_at":"2026-08-09T19:57:46.385475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04554","last_updated":"2024-05-06T14:06:12Z","snapshot_observed_at":"2026-08-09T23:06:33.287838Z","submitted_at":"2024-05-06T14:06:12Z","title":"Differentially Private Synthetic Data with Private Density Estimation","version":1},"cited_work":{"arxiv_id":"2405.04554","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.04554","snapshot_observed_at":"2026-08-09T19:51:54.214339Z","title":"Differentially Private Synthetic Data with Private Density Estimation","venue":"cs.CR","work_id":"8aee650a-66da-4c9d-8407-a174e8126689","year":2024},"citing_paper":{"arxiv_id":"2502.00245","last_updated":"2025-02-01T00:54:25Z","snapshot_observed_at":"2026-08-09T23:06:19.225107Z","submitted_at":"2025-02-01T00:54:25Z","title":"Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T19:51:53.415741Z"},"links":{"cited_paper":"/paper/2405.04554","citing_paper":"/paper/2502.00245"},"observation_digest":"sha256:bf99c5da21cf07ad06f386c5c150210a31dc3b9a952400394eef47c0b4e159ea","observation_id":"72e9daf1-8cb6-4123-8f6c-4270ecf1b032","resolution":{"observed_at":"2026-08-09T19:51:54.221219Z","resolver_source":"local_arxiv","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/2405.04554/citation-record","integrity":"/paper/2405.04554/integrity","json":"/paper/2405.04554/citation-record.json","paper":"/paper/2405.04554"},"outbound":[],"paper":{"arxiv_id":"2405.04554","last_updated":"2024-05-06T14:06:12Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-09T23:06:33.287838Z","submitted_at":"2024-05-06T14:06:12Z","title":"Differentially Private Synthetic Data with Private Density Estimation"},"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:2405.04554."}