{"as_of":"2026-08-12T16:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e1545d1ae1b5845360dbd8bec6ba34c50488ae0f38158dba5a591d572afd3857","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":"2026-08-12T06:34:41.77262+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":"2026-08-12T04:41:22.947153Z","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":"2026-08-12T04:41:23.084538Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1810.11347","last_updated":"2018-10-26T14:34:33Z","snapshot_observed_at":"2026-07-06T07:10:47.707646Z","submitted_at":"2018-10-26T14:34:33Z","title":"Generating equilibrium molecules with deep neural networks","version":1},"cited_work":{"arxiv_id":"1810.11347","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.11347","snapshot_observed_at":"2026-08-12T04:41:23.084538Z","title":"Generating equilibrium molecules with deep neural networks","venue":"stat.ML","work_id":"a255cbbc-a3af-4f29-9010-7f0cd8b32f23","year":2018},"citing_paper":{"arxiv_id":"2412.01174","last_updated":"2024-12-02T06:26:25Z","snapshot_observed_at":"2026-08-12T13:08:05.843779Z","submitted_at":"2024-12-02T06:26:25Z","title":"Rectified Flow For Structure Based Drug Design","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T04:41:22.947153Z"},"links":{"cited_paper":"/paper/1810.11347","citing_paper":"/paper/2412.01174"},"observation_digest":"sha256:3ce6e36b76735f2d0acba8a4dba84590d3686ee50671371c4f4e7746ff84893b","observation_id":"657e31f6-6a6b-46cd-9928-6a02ab9b9b3e","resolution":{"observed_at":"2026-08-12T04:41:23.089773Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1810.11347/citation-record","integrity":"/paper/1810.11347/integrity","json":"/paper/1810.11347/citation-record.json","paper":"/paper/1810.11347"},"outbound":[],"paper":{"arxiv_id":"1810.11347","last_updated":"2018-10-26T14:34:33Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T07:10:47.707646Z","submitted_at":"2018-10-26T14:34:33Z","title":"Generating equilibrium molecules with deep neural networks"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1810.11347."}