{"as_of":"2026-08-08T12:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2b7bdb9330242ed0713eded3e755912163261904864fa3490bb677838abd9e0f","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:39:20.249398Z","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":"2026-07-01T22:06:15.766100Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.04704","last_updated":"2024-09-20T01:56:56Z","snapshot_observed_at":"2026-08-05T14:24:15.569047Z","submitted_at":"2021-02-09T08:47:06Z","title":"Output Perturbation for Differentially Private Convex Optimization: Faster and More General","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.04704","snapshot_observed_at":"2026-08-07T10:39:20.249398Z","title":"and Razaviyayn, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05101","last_updated":"2025-06-05T14:44:15Z","snapshot_observed_at":"2026-08-07T10:22:01.959064Z","submitted_at":"2025-06-05T14:44:15Z","title":"Privacy Amplification Through Synthetic Data: Insights from Linear Regression","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T10:39:20.249398Z"},"links":{"cited_paper":"/paper/2102.04704","citing_paper":"/paper/2506.05101"},"observation_digest":"sha256:a1b6185896085dccc05c67d0318ec2775cc6910f32f7d3931716e61d0b641a8e","observation_id":"1b1b3c31-a872-4cc4-a79d-fdde943c660e","resolution":{"observed_at":"2026-08-07T10:39:20.249398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.04704","last_updated":"2024-09-20T01:56:56Z","snapshot_observed_at":"2026-08-05T14:24:15.569047Z","submitted_at":"2021-02-09T08:47:06Z","title":"Output Perturbation for Differentially Private Convex Optimization: Faster and More General","version":2},"cited_work":{"arxiv_id":"2102.04704","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.04704","snapshot_observed_at":"2026-07-01T22:06:15.766100Z","title":"and Razaviyayn, M","venue":null,"work_id":"76bb9f0c-4db7-4af8-90ea-7e59fce0e8e9","year":null},"citing_paper":{"arxiv_id":"2604.15851","last_updated":"2026-05-18T02:43:59Z","snapshot_observed_at":"2026-08-02T08:14:45.798431Z","submitted_at":"2026-04-17T09:03:11Z","title":"DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T08:53:13.427364Z"},"links":{"cited_paper":"/paper/2102.04704","citing_paper":"/paper/2604.15851"},"observation_digest":"sha256:7d03ae0c20c7aab74d6a74431f3b661c033c7556f620714fc8bba938d4e6dee1","observation_id":"f123f411-0804-49f6-bed2-069e8fd75dd2","resolution":{"observed_at":"2026-05-10T08:58:13.029768Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2102.04704","last_updated":"2024-09-20T01:56:56Z","snapshot_observed_at":"2026-08-05T14:24:15.569047Z","submitted_at":"2021-02-09T08:47:06Z","title":"Output Perturbation for Differentially Private Convex Optimization: Faster and More General","version":2},"cited_work":{"arxiv_id":"2102.04704","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.04704","snapshot_observed_at":"2026-07-01T22:06:15.766100Z","title":"and Razaviyayn, M","venue":null,"work_id":"76bb9f0c-4db7-4af8-90ea-7e59fce0e8e9","year":null},"citing_paper":{"arxiv_id":"2604.15851","last_updated":"2026-05-18T02:43:59Z","snapshot_observed_at":"2026-08-02T08:14:45.798431Z","submitted_at":"2026-04-17T09:03:11Z","title":"DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-21T00:50:11.410735Z"},"links":{"cited_paper":"/paper/2102.04704","citing_paper":"/paper/2604.15851"},"observation_digest":"sha256:7966d5ce76b0234f3453f01a4b9342a07d2b1ca34728f72152a0fca60240f629","observation_id":"aa5d2986-1d44-41b8-85f3-7a612ea1c98b","resolution":{"observed_at":"2026-05-21T00:53:53.603910Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2102.04704","last_updated":"2024-09-20T01:56:56Z","snapshot_observed_at":"2026-08-05T14:24:15.569047Z","submitted_at":"2021-02-09T08:47:06Z","title":"Output Perturbation for Differentially Private Convex Optimization: Faster and More General","version":2},"cited_work":{"arxiv_id":"2102.04704","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2102.04704","snapshot_observed_at":"2026-07-01T22:06:15.766100Z","title":"and Razaviyayn, M","venue":null,"work_id":"76bb9f0c-4db7-4af8-90ea-7e59fce0e8e9","year":null},"citing_paper":{"arxiv_id":"2606.01527","last_updated":"2026-06-01T01:19:04Z","snapshot_observed_at":"2026-08-07T12:07:56.869470Z","submitted_at":"2026-06-01T01:19:04Z","title":"Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses","version":1},"reference_index":187,"source":"arxiv_source","source_observed_at":"2026-06-28T15:51:13.831817Z"},"links":{"cited_paper":"/paper/2102.04704","citing_paper":"/paper/2606.01527"},"observation_digest":"sha256:fa3612101ec2a07c7fd5e8c7e6531f84f009a338b2e2b694cafdba9176b2a1a1","observation_id":"a3e2a034-a1f0-4b09-884a-df62b4de693a","resolution":{"observed_at":"2026-07-01T22:06:15.767736Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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/2102.04704/citation-record","integrity":"/paper/2102.04704/integrity","json":"/paper/2102.04704/citation-record.json","paper":"/paper/2102.04704"},"outbound":[],"paper":{"arxiv_id":"2102.04704","last_updated":"2024-09-20T01:56:56Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T14:24:15.569047Z","submitted_at":"2021-02-09T08:47:06Z","title":"Output Perturbation for Differentially Private Convex Optimization: Faster and More General"},"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 4 inbound Pith citation observations for arXiv:2102.04704."}