{"as_of":"2026-08-07T07:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ced2feef9f36df51a22182464cea6e2c6d5c4757633e0c17c04c72ae0f4392c7","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:23:17.074818Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T22:23:20.472765Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.09196","last_updated":"2025-03-12T09:39:18Z","snapshot_observed_at":"2026-07-06T20:51:13.891815Z","submitted_at":"2025-03-12T09:39:18Z","title":"Uncertainty in the era of machine learning for atomistic modeling","version":1},"cited_work":{"arxiv_id":"2503.09196","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.09196","snapshot_observed_at":"2026-08-06T22:23:20.472765Z","title":"Uncertainty in the era of machine learning for atomistic modeling","venue":"physics.chem-ph","work_id":"b02d6a75-2a00-470d-9051-78fcddf66327","year":2025},"citing_paper":{"arxiv_id":"2506.21935","last_updated":"2025-08-22T05:20:08Z","snapshot_observed_at":"2026-08-06T22:12:54.503903Z","submitted_at":"2025-06-27T06:12:25Z","title":"Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T22:23:17.074818Z"},"links":{"cited_paper":"/paper/2503.09196","citing_paper":"/paper/2506.21935"},"observation_digest":"sha256:d8862c4329cfda74e3b0ab796bd3ac8f629856bc026ae0a2f6c8c0cb68815978","observation_id":"0730ce3c-c80a-4e35-bcbf-56741eebf824","resolution":{"observed_at":"2026-08-06T22:23:20.520729Z","resolver_source":"local_arxiv","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/2503.09196/citation-record","integrity":"/paper/2503.09196/integrity","json":"/paper/2503.09196/citation-record.json","paper":"/paper/2503.09196"},"outbound":[],"paper":{"arxiv_id":"2503.09196","last_updated":"2025-03-12T09:39:18Z","latest_version":1,"primary_category":"physics.chem-ph","snapshot_observed_at":"2026-07-06T20:51:13.891815Z","submitted_at":"2025-03-12T09:39:18Z","title":"Uncertainty in the era of machine learning for atomistic modeling"},"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 1 inbound Pith citation observation for arXiv:2503.09196."}