{"as_of":"2026-08-09T11:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a36b4e832553718a8d03eb40ccccf7df37984abd269d52135f79e062b2d0cb5","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T00:36:36.579307Z","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":"2026-05-20T06:28:05.484131Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":"2202.12040","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jimmy Ba and Rich Caruana","venue":null,"work_id":"5acadce6-58ed-41db-8765-a7b997b1b26b","year":2024},"citing_paper":{"arxiv_id":"2210.11610","last_updated":"2022-10-25T17:45:17Z","snapshot_observed_at":"2026-08-09T02:27:34.152063Z","submitted_at":"2022-10-20T21:53:54Z","title":"Large Language Models Can Self-Improve","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-18T17:00:48.167441Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2210.11610"},"observation_digest":"sha256:a1db98026812528a6d6d696e04b8aa5dd9ea1b27967dc1da360f89a683259c4c","observation_id":"3a915dfd-3f9d-48e2-86a2-b86e9c1a0674","resolution":{"observed_at":"2026-05-18T17:00:48.293382Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-08-09T00:36:36.579307Z","title":"Self-training: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.03855","last_updated":"2025-02-06T08:16:08Z","snapshot_observed_at":"2026-08-09T00:26:05.806606Z","submitted_at":"2025-02-06T08:16:08Z","title":"Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T00:36:36.579307Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2502.03855"},"observation_digest":"sha256:0aa0c18370a4ca7809cc482f8d48fe1a0b4574c26045a0a8dc59b1e37dda1f72","observation_id":"ee208a9c-c869-452b-a35a-354ceb087ab1","resolution":{"observed_at":"2026-08-09T00:36:36.579307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-08-08T19:12:42.162831Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.05478","last_updated":"2025-02-08T07:38:45Z","snapshot_observed_at":"2026-08-09T10:05:24.156198Z","submitted_at":"2025-02-08T07:38:45Z","title":"OntoTune: Ontology-Driven Self-training for Aligning Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T19:12:42.162831Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2502.05478"},"observation_digest":"sha256:f055cade4dfc419a48081b3a5c161be93b9d073f97ea5f979287c536a883afc2","observation_id":"cd9af138-0b3d-41d1-a477-7c3d7e47ef7a","resolution":{"observed_at":"2026-08-08T19:12:42.162831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-08-07T15:32:11.308966Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.15195","last_updated":"2025-05-21T07:16:44Z","snapshot_observed_at":"2026-08-08T14:52:48.276800Z","submitted_at":"2025-05-21T07:16:44Z","title":"Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:32:11.308966Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2505.15195"},"observation_digest":"sha256:85b8c7bd1c79bc7a1b9e105c2b6a61e7f6ac799347f0cb85762a4766c39c4d49","observation_id":"20d4a219-d394-4691-a8f3-2baf046cbe3a","resolution":{"observed_at":"2026-08-07T15:32:11.308966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-08-06T18:19:59.732045Z","title":"Self-training: A survey","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.08597","last_updated":"2025-08-03T17:46:40Z","snapshot_observed_at":"2026-08-06T18:12:31.673062Z","submitted_at":"2025-07-11T13:47:07Z","title":"ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.732045Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2507.08597"},"observation_digest":"sha256:1902341c401ae8498a8d716c8dfe102515e49e80de125f57ff9ea7d46ff7d1c9","observation_id":"5b9ff56e-2def-4394-a580-ede4826a1aac","resolution":{"observed_at":"2026-08-06T18:19:59.732045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-08-06T17:03:46.369486Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12004","last_updated":"2025-07-16T07:58:20Z","snapshot_observed_at":"2026-08-07T12:43:44.020373Z","submitted_at":"2025-07-16T07:58:20Z","title":"Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis","version":1},"reference_index":146,"source":"arxiv_source","source_observed_at":"2026-08-06T17:03:46.369486Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2507.12004"},"observation_digest":"sha256:15fa4874b73741a7da716ac4882f2ab902277193fb797b6d2bce63436301dbbc","observation_id":"9c267596-dd47-4a67-bc64-5bbcc2a1eb38","resolution":{"observed_at":"2026-08-06T17:03:46.369486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-07-13T14:33:35.834383Z","title":"Self-T raining: A Survey.CoRR, abs/2202.12040,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.01193","last_updated":"2026-06-24T22:44:36Z","snapshot_observed_at":"2026-08-02T16:28:38.685624Z","submitted_at":"2026-04-01T17:39:50Z","title":"Embarrassingly Simple Self-Distillation Improves Code Generation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T14:33:35.834383Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2604.01193"},"observation_digest":"sha256:e3289e9b589d38e97e2d143233d47f49fe829a954b64a61e161c3c5949458e34","observation_id":"31b8f2e2-ae22-4731-98c3-46f2654f88fb","resolution":{"observed_at":"2026-07-13T14:33:35.834383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey","version":6},"cited_work":{"arxiv_id":"2202.12040","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.12040","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jimmy Ba and Rich Caruana","venue":null,"work_id":"5acadce6-58ed-41db-8765-a7b997b1b26b","year":2024},"citing_paper":{"arxiv_id":"2605.20157","last_updated":"2026-05-19T17:46:31Z","snapshot_observed_at":"2026-08-04T16:36:04.833510Z","submitted_at":"2026-05-19T17:46:31Z","title":"SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-20T06:26:02.477422Z"},"links":{"cited_paper":"/paper/2202.12040","citing_paper":"/paper/2605.20157"},"observation_digest":"sha256:db8b6c90b5b7407419700fe3bde9f5ac7f1f3d51885c2a6a0bbaffc2fb45ec7a","observation_id":"51da0c39-9689-44b6-a0f1-1261a2713b14","resolution":{"observed_at":"2026-05-20T06:28:05.485710Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2202.12040/citation-record","integrity":"/paper/2202.12040/integrity","json":"/paper/2202.12040/citation-record.json","paper":"/paper/2202.12040"},"outbound":[],"paper":{"arxiv_id":"2202.12040","last_updated":"2025-02-14T09:55:19Z","latest_version":6,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T12:41:14.674744Z","submitted_at":"2022-02-24T11:40:44Z","title":"Self-Training: A Survey"},"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":"2026-08-09T06:31:02.800959+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 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2202.12040."}