{"as_of":"2026-08-08T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5ee1b7800cf1427d0a19333009ff7714d4eb692df1a369948ea987175692bc1d","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T13:06:10.552420Z","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":5,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.11018","last_updated":"2021-10-08T20:57:04Z","snapshot_observed_at":"2026-07-06T11:41:18.740828Z","submitted_at":"2021-08-25T02:29:28Z","title":"A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?","version":3},"cited_work":{"arxiv_id":"2108.11018","doi":"10.48550/arxiv.2108.11018","metadata_source":"arxiv_reference","pith_arxiv_id":"2108.11018","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2108.11018 , url=","venue":"arXiv (Cornell University)","work_id":"9d9b6717-a853-432b-bc5f-06032a64dc87","year":2021},"citing_paper":{"arxiv_id":"2304.01373","last_updated":"2023-05-31T17:54:07Z","snapshot_observed_at":"2026-08-07T23:49:29.478548Z","submitted_at":"2023-04-03T20:58:15Z","title":"Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling","version":2},"reference_index":121,"source":"arxiv_source","source_observed_at":"2026-05-15T17:45:17.540282Z"},"links":{"cited_paper":"/paper/2108.11018","citing_paper":"/paper/2304.01373"},"observation_digest":"sha256:06a5b99d6fc5d7f57ce802024a758bc9bc71b93df1ba5d9f78f2a9894aa5b1f9","observation_id":"9a3d48dc-e949-418d-8c94-bf0a7e8e4607","resolution":{"observed_at":"2026-05-15T17:45:17.780077Z","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":"2108.11018","last_updated":"2021-10-08T20:57:04Z","snapshot_observed_at":"2026-07-06T11:41:18.740828Z","submitted_at":"2021-08-25T02:29:28Z","title":"A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?","version":3},"cited_work":{"arxiv_id":"2108.11018","doi":"10.48550/arxiv.2108.11018","metadata_source":"arxiv_reference","pith_arxiv_id":"2108.11018","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2108.11018 , url=","venue":"arXiv (Cornell University)","work_id":"9d9b6717-a853-432b-bc5f-06032a64dc87","year":2021},"citing_paper":{"arxiv_id":"2405.14782","last_updated":"2026-05-31T00:04:33Z","snapshot_observed_at":"2026-08-07T18:21:12.072228Z","submitted_at":"2024-05-23T16:50:49Z","title":"Lessons from the Trenches on Reproducible Evaluation of Language Models","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-16T18:44:49.519995Z"},"links":{"cited_paper":"/paper/2108.11018","citing_paper":"/paper/2405.14782"},"observation_digest":"sha256:bdbfa73e4e80efcdd729e32795e3c5c9dc4f8a9d69e0119a9f596a155d752a20","observation_id":"92670ca0-a4eb-48f8-be1b-702cd1f45d28","resolution":{"observed_at":"2026-05-16T18:44:49.719947Z","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":"2108.11018","last_updated":"2021-10-08T20:57:04Z","snapshot_observed_at":"2026-07-06T11:41:18.740828Z","submitted_at":"2021-08-25T02:29:28Z","title":"A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.11018","snapshot_observed_at":"2026-08-07T13:06:10.552420Z","title":"A scaling law for synthetic-to-real transfer: How much is your pre-training effective? arXiv preprint arXiv:2108.11018, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.12051","last_updated":"2025-08-24T21:14:59Z","snapshot_observed_at":"2026-08-07T12:58:29.925749Z","submitted_at":"2025-05-28T18:40:15Z","title":"GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:10.552420Z"},"links":{"cited_paper":"/paper/2108.11018","citing_paper":"/paper/2506.12051"},"observation_digest":"sha256:8f96f8fc5ae0f2dd454d6834799b3b63ec78d74fc9017e344458ef892d6e0396","observation_id":"9a269385-0574-4191-972b-a4f4ff103b18","resolution":{"observed_at":"2026-08-07T13:06:10.552420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.11018","last_updated":"2021-10-08T20:57:04Z","snapshot_observed_at":"2026-07-06T11:41:18.740828Z","submitted_at":"2021-08-25T02:29:28Z","title":"A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.11018","snapshot_observed_at":"2026-08-02T07:40:25.947308Z","title":"arXiv preprint arXiv:2108.11018 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20532","last_updated":"2026-07-10T13:07:12Z","snapshot_observed_at":"2026-08-08T11:53:10.019905Z","submitted_at":"2026-07-10T13:07:12Z","title":"Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development","version":1},"reference_index":130,"source":"arxiv_source","source_observed_at":"2026-08-02T07:40:25.947308Z"},"links":{"cited_paper":"/paper/2108.11018","citing_paper":"/paper/2607.20532"},"observation_digest":"sha256:3ed992643755458c65c21b2e336d0fbdb65dba17e0e8cadbc3cf73e0ce80e7ff","observation_id":"5a3bb4f6-7593-410a-8cf4-7545bdd7e3bd","resolution":{"observed_at":"2026-08-02T07:40:25.947308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2108.11018/citation-record","integrity":"/paper/2108.11018/integrity","json":"/paper/2108.11018/citation-record.json","paper":"/paper/2108.11018"},"outbound":[],"paper":{"arxiv_id":"2108.11018","last_updated":"2021-10-08T20:57:04Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:41:18.740828Z","submitted_at":"2021-08-25T02:29:28Z","title":"A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?"},"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 4 inbound Pith citation observations for arXiv:2108.11018."}