{"as_of":"2026-08-09T21:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2f2a5805fe43d3bb70ddf1272bc21ce00e96cf034419f366bd63a66e0ba16b68","coverage":[{"denominator":2,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T20:44:38.198775Z","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":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.10147/citation-record","integrity":"/paper/2508.10147/integrity","json":"/paper/2508.10147/citation-record.json","paper":"/paper/2508.10147"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.01978","last_updated":"2018-05-05T00:47:01Z","snapshot_observed_at":"2026-08-08T09:52:42.318326Z","submitted_at":"2018-05-05T00:47:01Z","title":"Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.01978","snapshot_observed_at":"2026-08-05T20:44:38.198775Z","title":"In Proceedings of International Conference on Learning Representations","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.10147","last_updated":"2025-08-13T19:16:47Z","snapshot_observed_at":"2026-08-05T20:44:36.866205Z","submitted_at":"2025-08-13T19:16:47Z","title":"rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:38.198775Z"},"links":{"cited_paper":"/paper/1805.01978","citing_paper":"/paper/2508.10147"},"observation_digest":"sha256:6f1c15b1cac3b74df4813811c742cbe60df511b6870717902b9890414d87f97b","observation_id":"320c9255-8543-4a37-8c44-b94a8b61afa1","resolution":{"observed_at":"2026-08-05T20:44:38.198775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05867","last_updated":"2022-01-15T15:03:17Z","snapshot_observed_at":"2026-08-05T00:54:21.083935Z","submitted_at":"2022-01-15T15:03:17Z","title":"Transferability in Deep Learning: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.05867","snapshot_observed_at":"2026-08-05T20:44:38.126034Z","title":"Gu, A.; and Dao, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10147","last_updated":"2025-08-13T19:16:47Z","snapshot_observed_at":"2026-08-05T20:44:36.866205Z","submitted_at":"2025-08-13T19:16:47Z","title":"rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data","version":1},"reference_index":3830,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:38.126034Z"},"links":{"cited_paper":"/paper/2201.05867","citing_paper":"/paper/2508.10147"},"observation_digest":"sha256:9a15811b53473e0a308c37ad6434ed1d3271beaeb08fd51f020e56c867c7a236","observation_id":"62d26a4c-5b9b-40d6-bf9e-7c3af3f5f463","resolution":{"observed_at":"2026-08-05T20:44:38.126034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.10147","last_updated":"2025-08-13T19:16:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T20:44:36.866205Z","submitted_at":"2025-08-13T19:16:47Z","title":"rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data"},"reference_resolution":{"displayed":2,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":2},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2508.10147."}