{"as_of":"2026-08-07T10:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ea012653a9fa74d04293eb2a35b757102d17f2869b92ab23386c3482e072586d","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:39:19.720046Z","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":"2026-05-13T06:22:23.090126Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.13719","last_updated":"2019-11-14T04:51:03Z","snapshot_observed_at":"2026-07-06T08:25:47.087616Z","submitted_at":"2019-09-30T14:05:14Z","title":"RandAugment: Practical automated data augmentation with a reduced search space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.13719","snapshot_observed_at":"2026-08-06T20:39:19.720046Z","title":"Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2507.02217","last_updated":"2025-07-03T00:44:31Z","snapshot_observed_at":"2026-08-06T20:32:08.147130Z","submitted_at":"2025-07-03T00:44:31Z","title":"Understanding Trade offs When Conditioning Synthetic Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:19.720046Z"},"links":{"cited_paper":"/paper/1909.13719","citing_paper":"/paper/2507.02217"},"observation_digest":"sha256:20ccfe20ab35ef8c806c95da0e62ba0636905c3c268ae1e13a65f36aff8cf59a","observation_id":"702c7882-ec05-4d02-b54e-97b240856f95","resolution":{"observed_at":"2026-08-06T20:39:19.720046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.13719","last_updated":"2019-11-14T04:51:03Z","snapshot_observed_at":"2026-07-06T08:25:47.087616Z","submitted_at":"2019-09-30T14:05:14Z","title":"RandAugment: Practical automated data augmentation with a reduced search space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.13719","snapshot_observed_at":"2026-08-06T15:47:01.449299Z","title":"RandAugment: Practical automated data augmentation with a reduced search space,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.15089","last_updated":"2025-07-20T19:02:15Z","snapshot_observed_at":"2026-08-06T15:38:42.814035Z","submitted_at":"2025-07-20T19:02:15Z","title":"Visual Place Recognition for Large-Scale UAV Applications","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T15:47:01.449299Z"},"links":{"cited_paper":"/paper/1909.13719","citing_paper":"/paper/2507.15089"},"observation_digest":"sha256:019712c8bfdc78689ec3d247331dbe62516f0ec97fc1da43cc369a6967d503ba","observation_id":"b07f0b71-b5ea-4c67-bc9a-e24b32693b3d","resolution":{"observed_at":"2026-08-06T15:47:01.449299Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.13719","last_updated":"2019-11-14T04:51:03Z","snapshot_observed_at":"2026-07-06T08:25:47.087616Z","submitted_at":"2019-09-30T14:05:14Z","title":"RandAugment: Practical automated data augmentation with a reduced search space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.13719","snapshot_observed_at":"2026-08-06T15:00:45.229422Z","title":"Few-Shot Learning in Video and 3D Object Detection: A Survey","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.17079","last_updated":"2025-07-22T23:37:20Z","snapshot_observed_at":"2026-08-06T18:25:52.264071Z","submitted_at":"2025-07-22T23:37:20Z","title":"Few-Shot Learning in Video and 3D Object Detection: A Survey","version":1},"reference_index":205,"source":"pdf_text","source_observed_at":"2026-08-06T15:00:45.229422Z"},"links":{"cited_paper":"/paper/1909.13719","citing_paper":"/paper/2507.17079"},"observation_digest":"sha256:b29f99d9306725326dece6226b663097c1e6744385267b3e49ea12fe51570d2a","observation_id":"e3237e4d-a8ab-4527-8e0e-857969ad3b42","resolution":{"observed_at":"2026-08-06T15:00:45.229422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.13719","last_updated":"2019-11-14T04:51:03Z","snapshot_observed_at":"2026-07-06T08:25:47.087616Z","submitted_at":"2019-09-30T14:05:14Z","title":"RandAugment: Practical automated data augmentation with a reduced search space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.13719","snapshot_observed_at":"2026-08-05T13:48:54.975729Z","title":"Cubuk, B","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00311","last_updated":"2025-08-30T01:59:19Z","snapshot_observed_at":"2026-08-05T22:48:18.635665Z","submitted_at":"2025-08-30T01:59:19Z","title":"MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T13:48:54.975729Z"},"links":{"cited_paper":"/paper/1909.13719","citing_paper":"/paper/2509.00311"},"observation_digest":"sha256:5a6a82f18d6c7f555ea57d47773a82071a51c57cb3be04f7d2fcb2ac6ed6c4dc","observation_id":"e57d7282-0991-4468-a93e-7b2844337c02","resolution":{"observed_at":"2026-08-05T13:48:54.975729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.13719","last_updated":"2019-11-14T04:51:03Z","snapshot_observed_at":"2026-07-06T08:25:47.087616Z","submitted_at":"2019-09-30T14:05:14Z","title":"RandAugment: Practical automated data augmentation with a reduced search space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.13719","snapshot_observed_at":"2026-08-03T18:25:32.200089Z","title":"Cubuk, E","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.05610","last_updated":"2026-07-20T16:34:31Z","snapshot_observed_at":"2026-08-06T08:32:42.259291Z","submitted_at":"2025-12-05T10:52:55Z","title":"NormalView: tree species classification from backpack and aerial lidar data using geometric projections","version":2},"reference_index":1995,"source":"pdf_text","source_observed_at":"2026-08-03T18:25:32.200089Z"},"links":{"cited_paper":"/paper/1909.13719","citing_paper":"/paper/2512.05610"},"observation_digest":"sha256:918384df1c7b6f1f4c89be1ed7f893e6174dddd6df7f2dd9d7f6503107a57427","observation_id":"4f4f467f-11f8-4eed-ae9b-543f0636cfe9","resolution":{"observed_at":"2026-08-03T18:25:32.200089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.13719","last_updated":"2019-11-14T04:51:03Z","snapshot_observed_at":"2026-07-06T08:25:47.087616Z","submitted_at":"2019-09-30T14:05:14Z","title":"RandAugment: Practical automated data augmentation with a reduced search space","version":2},"cited_work":{"arxiv_id":"1909.13719","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.13719","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1909.13719 , year=","venue":null,"work_id":"33789c17-e72e-40c5-a405-9ab038593aae","year":1909},"citing_paper":{"arxiv_id":"2605.11870","last_updated":"2026-05-12T09:50:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:50:11Z","title":"Information theoretic underpinning of self-supervised learning by clustering","version":1},"reference_index":171,"source":"arxiv_source","source_observed_at":"2026-05-13T06:22:03.439595Z"},"links":{"cited_paper":"/paper/1909.13719","citing_paper":"/paper/2605.11870"},"observation_digest":"sha256:82b47a045c653da8bfa6e30051b2f46d449d5a8221e6743e0d5aa3e501812fb1","observation_id":"f8fb475c-8a3d-401e-bd6d-089e993160b8","resolution":{"observed_at":"2026-05-13T06:22:23.091943Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1909.13719/citation-record","integrity":"/paper/1909.13719/integrity","json":"/paper/1909.13719/citation-record.json","paper":"/paper/1909.13719"},"outbound":[],"paper":{"arxiv_id":"1909.13719","last_updated":"2019-11-14T04:51:03Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T08:25:47.087616Z","submitted_at":"2019-09-30T14:05:14Z","title":"RandAugment: Practical automated data augmentation with a reduced search space"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.13719."}