{"as_of":"2026-08-11T10:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd80cfcc9dc9a3910e481438093c7d66db684f08ce1b505a7d8682f0f8dfdb69","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":"2026-08-11T06:34:44.6726+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":"2026-08-07T11:15:29.660775Z","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":"2026-06-29T09:23:16.088230Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.19732","last_updated":"2024-09-29T15:17:33Z","snapshot_observed_at":"2026-08-11T08:55:26.119545Z","submitted_at":"2024-09-29T15:17:33Z","title":"Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19732","snapshot_observed_at":"2026-08-07T11:15:29.660775Z","title":"Unified gradient-based machine unlearning with remain geometry enhancement.arXiv preprint arXiv:2409.19732, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03117","last_updated":"2025-06-03T17:50:03Z","snapshot_observed_at":"2026-08-09T14:46:25.728434Z","submitted_at":"2025-06-03T17:50:03Z","title":"Targeted Forgetting of Image Subgroups in CLIP Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:15:29.660775Z"},"links":{"cited_paper":"/paper/2409.19732","citing_paper":"/paper/2506.03117"},"observation_digest":"sha256:1112d9cc7c9edcb325f9330c97771cffc2ed04e344f371419e813735ada1e832","observation_id":"49f52eaf-8a0a-4f67-903a-ca18f278c2f8","resolution":{"observed_at":"2026-08-07T11:15:29.660775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19732","last_updated":"2024-09-29T15:17:33Z","snapshot_observed_at":"2026-08-11T08:55:26.119545Z","submitted_at":"2024-09-29T15:17:33Z","title":"Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement","version":1},"cited_work":{"arxiv_id":"2409.19732","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.19732","snapshot_observed_at":"2026-06-29T09:23:16.088230Z","title":"Unified gradient-based machine unlearning with remain geometry enhancement","venue":null,"work_id":"8644aab9-792c-448f-8969-b964a8ffded0","year":2024},"citing_paper":{"arxiv_id":"2605.29454","last_updated":"2026-05-28T06:48:22Z","snapshot_observed_at":"2026-08-10T01:58:46.411889Z","submitted_at":"2026-05-28T06:48:22Z","title":"A Full-Pipeline Framework for Evaluating Membership Inference Attacks in Machine Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T09:20:39.053125Z"},"links":{"cited_paper":"/paper/2409.19732","citing_paper":"/paper/2605.29454"},"observation_digest":"sha256:4681234a31833677eede9561bdd26ca2984ae0f6c575780f28b1b53925f58118","observation_id":"6391c40c-a1ce-4535-a091-f9a6a8ca7638","resolution":{"observed_at":"2026-06-29T09:23:16.089662Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.19732/citation-record","integrity":"/paper/2409.19732/integrity","json":"/paper/2409.19732/citation-record.json","paper":"/paper/2409.19732"},"outbound":[],"paper":{"arxiv_id":"2409.19732","last_updated":"2024-09-29T15:17:33Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T08:55:26.119545Z","submitted_at":"2024-09-29T15:17:33Z","title":"Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.19732."}