{"as_of":"2026-08-08T10:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:88eca68220189c7b661ee4e9a929a322d68e02b0148702279bcf3d7d6ec8db5f","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:35:00.452635Z","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":"2026-07-04T07:09:38.815892Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.04252","last_updated":"2020-06-19T17:36:57Z","snapshot_observed_at":"2026-07-06T08:36:05.616263Z","submitted_at":"2019-11-11T18:59:27Z","title":"Self-training with Noisy Student improves ImageNet classification","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.04252","snapshot_observed_at":"2026-08-07T14:35:00.452635Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.18434","last_updated":"2025-05-24T00:02:48Z","snapshot_observed_at":"2026-08-07T14:29:10.248092Z","submitted_at":"2025-05-24T00:02:48Z","title":"TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T14:35:00.452635Z"},"links":{"cited_paper":"/paper/1911.04252","citing_paper":"/paper/2505.18434"},"observation_digest":"sha256:e0239aaef97e2a328921d3a7b8fb422df940b499f10eac5531dfe69eb8ab9310","observation_id":"873d0639-3ea1-42a6-9779-70aaa38b6784","resolution":{"observed_at":"2026-08-07T14:35:00.452635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04252","last_updated":"2020-06-19T17:36:57Z","snapshot_observed_at":"2026-07-06T08:36:05.616263Z","submitted_at":"2019-11-11T18:59:27Z","title":"Self-training with Noisy Student improves ImageNet classification","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.04252","snapshot_observed_at":"2026-08-05T15:17:52.407598Z","title":"Self-training with Noisy Student improves ImageNet classification","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20232","last_updated":"2025-08-27T19:23:54Z","snapshot_observed_at":"2026-08-08T05:05:28.431105Z","submitted_at":"2025-08-27T19:23:54Z","title":"ATMS-KD: Adaptive Temperature and Mixed Sample Knowledge Distillation for a Lightweight Residual CNN in Agricultural Embedded Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T15:17:52.407598Z"},"links":{"cited_paper":"/paper/1911.04252","citing_paper":"/paper/2508.20232"},"observation_digest":"sha256:dbfe5ab680225c4ef3626ceb200e5a1b0c0d8bb9e8f6f8e7edc6ab787cbfd906","observation_id":"1383c7be-098e-494d-b386-420219e27e42","resolution":{"observed_at":"2026-08-05T15:17:52.407598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04252","last_updated":"2020-06-19T17:36:57Z","snapshot_observed_at":"2026-07-06T08:36:05.616263Z","submitted_at":"2019-11-11T18:59:27Z","title":"Self-training with Noisy Student improves ImageNet classification","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.04252","snapshot_observed_at":"2026-08-04T19:24:21.529702Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09311","last_updated":"2025-09-11T09:54:25Z","snapshot_observed_at":"2026-08-07T05:35:18.119397Z","submitted_at":"2025-09-11T09:54:25Z","title":"Image Recognition with Vision and Language Embeddings of VLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T19:24:21.529702Z"},"links":{"cited_paper":"/paper/1911.04252","citing_paper":"/paper/2509.09311"},"observation_digest":"sha256:b057b05350cd8a26dadf307aa128169d4d3d4140b7a5f22df41fcd7d5b38bd0b","observation_id":"11799de6-8e27-453a-92f4-d13f1bc23230","resolution":{"observed_at":"2026-08-04T19:24:21.529702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04252","last_updated":"2020-06-19T17:36:57Z","snapshot_observed_at":"2026-07-06T08:36:05.616263Z","submitted_at":"2019-11-11T18:59:27Z","title":"Self-training with Noisy Student improves ImageNet classification","version":4},"cited_work":{"arxiv_id":"1911.04252","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.04252","snapshot_observed_at":"2026-07-04T07:09:38.815892Z","title":"Self-training with noisy student improves imagenet classification,","venue":null,"work_id":"876640a3-fbc1-4fe5-952d-15633fa5e346","year":2020},"citing_paper":{"arxiv_id":"2606.17582","last_updated":"2026-06-16T06:43:46Z","snapshot_observed_at":"2026-08-07T16:07:11.624751Z","submitted_at":"2026-06-16T06:43:46Z","title":"Collaborative Large and Small Language Models for Accurate and Scalable Data Repair","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-26T22:25:39.533017Z"},"links":{"cited_paper":"/paper/1911.04252","citing_paper":"/paper/2606.17582"},"observation_digest":"sha256:6cc3659e8a13687a1dfb467fed491ff7904f2b65052ac7346a9450d704ecdbae","observation_id":"01208613-035f-4123-908c-8e0dcd0edda3","resolution":{"observed_at":"2026-07-03T23:19:04.249568Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04252","last_updated":"2020-06-19T17:36:57Z","snapshot_observed_at":"2026-07-06T08:36:05.616263Z","submitted_at":"2019-11-11T18:59:27Z","title":"Self-training with Noisy Student improves ImageNet classification","version":4},"cited_work":{"arxiv_id":"1911.04252","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.04252","snapshot_observed_at":"2026-07-04T07:09:38.815892Z","title":"Self-training with noisy student improves imagenet classification,","venue":null,"work_id":"876640a3-fbc1-4fe5-952d-15633fa5e346","year":2020},"citing_paper":{"arxiv_id":"2606.21592","last_updated":"2026-06-19T16:49:29Z","snapshot_observed_at":"2026-07-06T23:56:35.743669Z","submitted_at":"2026-06-19T16:49:29Z","title":"Enhancing Stateful Detection of Adversarial Attacks with Soft-labels' Temporality and Robust Similarity Approximations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T13:34:32.092622Z"},"links":{"cited_paper":"/paper/1911.04252","citing_paper":"/paper/2606.21592"},"observation_digest":"sha256:2dbb781198cefd4a8266caba5cd63223c83185af69d0c26bbedbd41474f50cef","observation_id":"c3b7eec4-88eb-4bbd-9a98-73fd8d9990cf","resolution":{"observed_at":"2026-07-04T07:09:38.817279Z","resolver_source":"arxiv_id","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/1911.04252/citation-record","integrity":"/paper/1911.04252/integrity","json":"/paper/1911.04252/citation-record.json","paper":"/paper/1911.04252"},"outbound":[],"paper":{"arxiv_id":"1911.04252","last_updated":"2020-06-19T17:36:57Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:36:05.616263Z","submitted_at":"2019-11-11T18:59:27Z","title":"Self-training with Noisy Student improves ImageNet classification"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.04252."}