{"as_of":"2026-08-17T02:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15e3e2a3fc4d35ebc1340be17c0ffd870e13d409218dcd5c851a5e4704c01242","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":"2026-08-16T06:30:59.297886+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":"2026-08-12T06:03:52.459485Z","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":"2026-07-03T17:58:47.500209Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.18019","last_updated":"2024-10-23T16:48:07Z","snapshot_observed_at":"2026-08-16T13:06:33.197406Z","submitted_at":"2024-10-23T16:48:07Z","title":"Advanced simulations with PLUMED: OPES and Machine Learning Collective Variables","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18019","snapshot_observed_at":"2026-08-12T06:03:52.459485Z","title":"M.; Invernizzi, M.; Bonati, L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03595","last_updated":"2024-11-29T10:25:42Z","snapshot_observed_at":"2026-08-16T20:09:46.220394Z","submitted_at":"2024-11-29T10:25:42Z","title":"PLUMED Tutorials: a collaborative, community-driven learning ecosystem","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T06:03:52.459485Z"},"links":{"cited_paper":"/paper/2410.18019","citing_paper":"/paper/2412.03595"},"observation_digest":"sha256:f6fb203f5b83062f232556d1ca31961b4c58803e27259f09f0dd5d9d75c5f48e","observation_id":"1260fe96-1e30-4767-b9a0-904aef83e5f5","resolution":{"observed_at":"2026-08-12T06:03:52.459485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18019","last_updated":"2024-10-23T16:48:07Z","snapshot_observed_at":"2026-08-16T13:06:33.197406Z","submitted_at":"2024-10-23T16:48:07Z","title":"Advanced simulations with PLUMED: OPES and Machine Learning Collective Variables","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18019","snapshot_observed_at":"2026-08-10T23:21:30.432525Z","title":"Trizio , author A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20868","last_updated":"2024-12-30T11:11:35Z","snapshot_observed_at":"2026-08-11T02:10:58.934952Z","submitted_at":"2024-12-30T11:11:35Z","title":"Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques","version":1},"reference_index":170,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:30.432525Z"},"links":{"cited_paper":"/paper/2410.18019","citing_paper":"/paper/2412.20868"},"observation_digest":"sha256:fe7eff4e0d4a3452134d94cb34355448ddb8698d48867d446601640402760608","observation_id":"0e4043a0-e016-47d0-9f1f-7de10ce1f84e","resolution":{"observed_at":"2026-08-10T23:21:30.432525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18019","last_updated":"2024-10-23T16:48:07Z","snapshot_observed_at":"2026-08-16T13:06:33.197406Z","submitted_at":"2024-10-23T16:48:07Z","title":"Advanced simulations with PLUMED: OPES and Machine Learning Collective Variables","version":1},"cited_work":{"arxiv_id":"2410.18019","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18019","snapshot_observed_at":"2026-07-03T17:58:47.500209Z","title":"arXiv preprint arXiv:2410.18019 , year=","venue":null,"work_id":"640e6245-fef4-4d77-8a23-b4d3943609c3","year":null},"citing_paper":{"arxiv_id":"2606.15495","last_updated":"2026-06-22T11:47:50Z","snapshot_observed_at":"2026-08-13T15:55:10.869214Z","submitted_at":"2026-06-13T22:44:06Z","title":"Contrastive learning of dynamical representations for enhanced molecular sampling","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-27T03:27:26.575957Z"},"links":{"cited_paper":"/paper/2410.18019","citing_paper":"/paper/2606.15495"},"observation_digest":"sha256:07ec4274dd71ec10a8d243ef46b01d2840e3458206284d2de29a50dbc290c3de","observation_id":"3cf4bb18-a655-4f06-9af6-2e6e3f65752c","resolution":{"observed_at":"2026-07-03T17:58:47.501646Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18019","last_updated":"2024-10-23T16:48:07Z","snapshot_observed_at":"2026-08-16T13:06:33.197406Z","submitted_at":"2024-10-23T16:48:07Z","title":"Advanced simulations with PLUMED: OPES and Machine Learning Collective Variables","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18019","snapshot_observed_at":"2026-08-01T10:46:43.633479Z","title":"arXiv preprint arXiv:2410.18019 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20122","last_updated":"2026-07-22T13:25:12Z","snapshot_observed_at":"2026-08-10T08:23:25.667481Z","submitted_at":"2026-07-22T13:25:12Z","title":"Let's Stalk About Membranes: Committor-Based Enhanced Sampling of Stalk Formation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T10:46:43.633479Z"},"links":{"cited_paper":"/paper/2410.18019","citing_paper":"/paper/2607.20122"},"observation_digest":"sha256:7c37ac8a49f8877f77cd5a406fa009616ca6049e2b222b17d8e4defb234866d3","observation_id":"1be56697-8688-450b-9e09-4ba05ebd7a53","resolution":{"observed_at":"2026-08-01T10:46:43.633479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.18019/citation-record","integrity":"/paper/2410.18019/integrity","json":"/paper/2410.18019/citation-record.json","paper":"/paper/2410.18019"},"outbound":[],"paper":{"arxiv_id":"2410.18019","last_updated":"2024-10-23T16:48:07Z","latest_version":1,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-08-16T13:06:33.197406Z","submitted_at":"2024-10-23T16:48:07Z","title":"Advanced simulations with PLUMED: OPES and Machine Learning Collective Variables"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.18019."}