{"as_of":"2026-08-09T03:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:112819a071285ebd9db3398fa4a8a9be3a36469f0514b0326bc65688e8f5c18e","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":"2026-08-05T14:52:45.580647Z","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":"2026-08-05T13:26:39.100713Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.16893","last_updated":"2023-06-29T12:29:21Z","snapshot_observed_at":"2026-07-06T15:48:17.327427Z","submitted_at":"2023-06-29T12:29:21Z","title":"Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.16893","snapshot_observed_at":"2026-08-05T14:52:45.580647Z","title":"arXiv preprint arXiv:2306.16893 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20824","last_updated":"2025-08-28T14:21:08Z","snapshot_observed_at":"2026-08-05T14:52:31.955051Z","submitted_at":"2025-08-28T14:21:08Z","title":"GPT-FT: An Efficient Automated Feature Transformation Using GPT for Sequence Reconstruction and Performance Enhancement","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T14:52:45.580647Z"},"links":{"cited_paper":"/paper/2306.16893","citing_paper":"/paper/2508.20824"},"observation_digest":"sha256:1d72c28df7a5bcb0ea9a0d35fe1bed343bf913bf6149a963a0241c351eb55bd1","observation_id":"219e9771-a262-4c4a-bce1-c9e0509c093f","resolution":{"observed_at":"2026-08-05T14:52:45.580647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.16893","last_updated":"2023-06-29T12:29:21Z","snapshot_observed_at":"2026-07-06T15:48:17.327427Z","submitted_at":"2023-06-29T12:29:21Z","title":"Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective","version":1},"cited_work":{"arxiv_id":"2306.16893","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.16893","snapshot_observed_at":"2026-08-05T13:26:39.100713Z","title":"Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective","venue":"cs.LG","work_id":"384ee0b6-70eb-4747-b1fa-f5c14208e1c9","year":2023},"citing_paper":{"arxiv_id":"2509.00693","last_updated":"2025-08-31T04:18:42Z","snapshot_observed_at":"2026-08-06T11:14:22.004858Z","submitted_at":"2025-08-31T04:18:42Z","title":"DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T13:26:38.333791Z"},"links":{"cited_paper":"/paper/2306.16893","citing_paper":"/paper/2509.00693"},"observation_digest":"sha256:6d0cb11d54f7ecabf91ceca8747a964582ed569bc39e9c2a3560e3227e87d442","observation_id":"24fa700f-195b-426b-b4e9-4c5d43c6c2a7","resolution":{"observed_at":"2026-08-05T13:26:39.108912Z","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/2306.16893/citation-record","integrity":"/paper/2306.16893/integrity","json":"/paper/2306.16893/citation-record.json","paper":"/paper/2306.16893"},"outbound":[],"paper":{"arxiv_id":"2306.16893","last_updated":"2023-06-29T12:29:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T15:48:17.327427Z","submitted_at":"2023-06-29T12:29:21Z","title":"Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.16893."}