{"as_of":"2026-08-10T13:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:994c3ed7d4278a63a8bc98285ea2da5219dc65d22f903e1761f6bbab6207bffb","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:32:45.071477Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":170,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2007.00644","last_updated":"2020-09-14T09:55:13Z","snapshot_observed_at":"2026-08-02T01:40:39.854832Z","submitted_at":"2020-07-01T17:53:26Z","title":"Measuring Robustness to Natural Distribution Shifts in Image Classification","version":2},"cited_work":{"arxiv_id":"2007.00644","doi":"10.48550/arxiv.2007.00644","metadata_source":"arxiv_reference","pith_arxiv_id":"2007.00644","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring robustness to natural distribution shifts in image classification","venue":"arXiv (Cornell University)","work_id":"9fbbb702-710a-4f58-a562-a356d005c262","year":2007},"citing_paper":{"arxiv_id":"2502.12120","last_updated":"2026-05-20T13:58:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-17T18:45:25Z","title":"LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws","version":3},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-23T02:47:37.492619Z"},"links":{"cited_paper":"/paper/2007.00644","citing_paper":"/paper/2502.12120"},"observation_digest":"sha256:98102ceef9461f71cf15ee43250ad5201db9f7a641bff059cf89d7c1538a8abb","observation_id":"aff85cf0-1cc3-48ad-9117-65df32209e0c","resolution":{"observed_at":"2026-05-23T02:52:27.011832Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00644","last_updated":"2020-09-14T09:55:13Z","snapshot_observed_at":"2026-08-02T01:40:39.854832Z","submitted_at":"2020-07-01T17:53:26Z","title":"Measuring Robustness to Natural Distribution Shifts in Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.00644","snapshot_observed_at":"2026-08-06T18:32:45.071477Z","title":"Measuring robustness to natural distribution shifts in image classification.arXiv preprint arXiv:2007.00644, 2020","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2507.08000","last_updated":"2025-07-10T17:59:59Z","snapshot_observed_at":"2026-08-09T06:55:05.081511Z","submitted_at":"2025-07-10T17:59:59Z","title":"Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:45.071477Z"},"links":{"cited_paper":"/paper/2007.00644","citing_paper":"/paper/2507.08000"},"observation_digest":"sha256:c263eb007874369af139a7a1bdaa119337fc1ed4e4c4601499c83d5446ab1d60","observation_id":"83d88bc5-375e-4231-84ed-706503d94dec","resolution":{"observed_at":"2026-08-06T18:32:45.071477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00644","last_updated":"2020-09-14T09:55:13Z","snapshot_observed_at":"2026-08-02T01:40:39.854832Z","submitted_at":"2020-07-01T17:53:26Z","title":"Measuring Robustness to Natural Distribution Shifts in Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.00644","snapshot_observed_at":"2026-08-05T14:49:35.940391Z","title":"Measuring robustness to natural distribution shifts in image classification, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20869","last_updated":"2025-08-28T15:00:51Z","snapshot_observed_at":"2026-08-09T13:03:46.850295Z","submitted_at":"2025-08-28T15:00:51Z","title":"OLMoASR: Open Models and Data for Training Robust Speech Recognition Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T14:49:35.940391Z"},"links":{"cited_paper":"/paper/2007.00644","citing_paper":"/paper/2508.20869"},"observation_digest":"sha256:cecda8b4a341f8e9d61fbc60d2a21a377076fe24d9c1c3c7b166080ce4a6d451","observation_id":"f56c8549-05ae-4d8e-9a25-9dde37f1253d","resolution":{"observed_at":"2026-08-05T14:49:35.940391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00644","last_updated":"2020-09-14T09:55:13Z","snapshot_observed_at":"2026-08-02T01:40:39.854832Z","submitted_at":"2020-07-01T17:53:26Z","title":"Measuring Robustness to Natural Distribution Shifts in Image Classification","version":2},"cited_work":{"arxiv_id":"2007.00644","doi":"10.48550/arxiv.2007.00644","metadata_source":"arxiv_reference","pith_arxiv_id":"2007.00644","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring robustness to natural distribution shifts in image classification","venue":"arXiv (Cornell University)","work_id":"9fbbb702-710a-4f58-a562-a356d005c262","year":2007},"citing_paper":{"arxiv_id":"2606.09881","last_updated":"2026-06-03T05:44:29Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-03T05:44:29Z","title":"Toward Calibrated, Fair, and accurate Deepfake Detection","version":1},"reference_index":198,"source":"arxiv_source","source_observed_at":"2026-06-28T07:05:18.026601Z"},"links":{"cited_paper":"/paper/2007.00644","citing_paper":"/paper/2606.09881"},"observation_digest":"sha256:7f0778a56235028aeb1adddee8a6a41fd137094423d72b41eddc86433aab04eb","observation_id":"580eb8c9-95f6-4204-b763-f5feb3a350a0","resolution":{"observed_at":"2026-06-28T07:11:44.938348Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2007.00644/citation-record","integrity":"/paper/2007.00644/integrity","json":"/paper/2007.00644/citation-record.json","paper":"/paper/2007.00644"},"outbound":[],"paper":{"arxiv_id":"2007.00644","last_updated":"2020-09-14T09:55:13Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T01:40:39.854832Z","submitted_at":"2020-07-01T17:53:26Z","title":"Measuring Robustness to Natural Distribution Shifts in Image 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.00644."}