{"as_of":"2026-08-13T09:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eb13eaf77ef963b5b7c59fe2e37927c4cab5ea3c1bfd66b062846f742bb5add0","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:16:25.314851Z","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":"2026-08-08T10:30:23.937856Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.06651","last_updated":"2024-03-13T19:10:48Z","snapshot_observed_at":"2026-08-09T06:13:19.547768Z","submitted_at":"2023-09-13T00:30:32Z","title":"ConR: Contrastive Regularizer for Deep Imbalanced Regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.06651","snapshot_observed_at":"2026-08-11T19:16:25.314851Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07039","last_updated":"2024-12-09T22:59:03Z","snapshot_observed_at":"2026-08-11T19:09:50.787951Z","submitted_at":"2024-12-09T22:59:03Z","title":"Data Augmentation with Variational Autoencoder for Imbalanced Dataset","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T19:16:25.314851Z"},"links":{"cited_paper":"/paper/2309.06651","citing_paper":"/paper/2412.07039"},"observation_digest":"sha256:165cab9d316aace41c3f88e0e9b65f418396f97cd5a691764c2a9f6a4e213a6e","observation_id":"1d28ced1-99e0-49ac-b19c-b188d9abdf61","resolution":{"observed_at":"2026-08-11T19:16:25.314851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.06651","last_updated":"2024-03-13T19:10:48Z","snapshot_observed_at":"2026-08-09T06:13:19.547768Z","submitted_at":"2023-09-13T00:30:32Z","title":"ConR: Contrastive Regularizer for Deep Imbalanced Regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.06651","snapshot_observed_at":"2026-08-11T14:16:20.348916Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.12327","last_updated":"2024-12-19T09:34:30Z","snapshot_observed_at":"2026-08-12T09:34:04.391029Z","submitted_at":"2024-12-16T19:54:57Z","title":"Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T14:16:20.348916Z"},"links":{"cited_paper":"/paper/2309.06651","citing_paper":"/paper/2412.12327"},"observation_digest":"sha256:83f99214dd8c4486bdc42e0b77cb83e7d1d8e9eb76ea81eef0a83eedf35c8a0e","observation_id":"29d3c7c9-9ab2-45db-99ec-671df6535971","resolution":{"observed_at":"2026-08-11T14:16:20.348916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.06651","last_updated":"2024-03-13T19:10:48Z","snapshot_observed_at":"2026-08-09T06:13:19.547768Z","submitted_at":"2023-09-13T00:30:32Z","title":"ConR: Contrastive Regularizer for Deep Imbalanced Regression","version":4},"cited_work":{"arxiv_id":"2309.06651","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.06651","snapshot_observed_at":"2026-08-08T10:30:23.937856Z","title":"ConR: Contrastive Regularizer for Deep Imbalanced Regression","venue":"cs.LG","work_id":"46b06604-4e37-49bd-bbe5-48cf79bc344f","year":2023},"citing_paper":{"arxiv_id":"2502.08106","last_updated":"2025-06-14T02:48:17Z","snapshot_observed_at":"2026-08-11T16:21:24.113603Z","submitted_at":"2025-02-12T04:07:14Z","title":"PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T10:30:23.718127Z"},"links":{"cited_paper":"/paper/2309.06651","citing_paper":"/paper/2502.08106"},"observation_digest":"sha256:336437f70237ca08701d4b809b57c56447f91ec700d5770e3cb1ec84efa6fdf4","observation_id":"edb82222-04b2-40f5-b636-02064cf5799e","resolution":{"observed_at":"2026-08-08T10:30:23.944768Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.06651/citation-record","integrity":"/paper/2309.06651/integrity","json":"/paper/2309.06651/citation-record.json","paper":"/paper/2309.06651"},"outbound":[],"paper":{"arxiv_id":"2309.06651","last_updated":"2024-03-13T19:10:48Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T06:13:19.547768Z","submitted_at":"2023-09-13T00:30:32Z","title":"ConR: Contrastive Regularizer for Deep Imbalanced Regression"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.06651."}