{"as_of":"2026-08-09T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3010182014a2961b45c006a14d28c336d9f53f871e83b73dc53dab0f5c0cc835","coverage":[{"denominator":11,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:19:28.081844Z","state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.16218/citation-record","integrity":"/paper/2507.16218/integrity","json":"/paper/2507.16218/citation-record.json","paper":"/paper/2507.16218"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"gov/2224664","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:28.965544Z","title":"International tables for crystallography: Space-group symmetry","venue":null,"work_id":"1dc95db5-675f-419e-b907-9bb5ace2bf47","year":2016},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.149184Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:03a8eae25ded6e9ef109df3f10e235179b9bbe218a6466272db38f42d5357139","observation_id":"7ecbc3dd-af4a-44bc-8379-005212d7b5ca","resolution":{"observed_at":"2026-08-06T15:19:29.060036Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:27.707357Z","title":"P., Burke, K","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.707357Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:c480bf850de8da4b3c0687633337f4ecabc5c4ee8616d662e6c18326a25b6f9b","observation_id":"bd7b99dc-8a79-4f01-86e4-13096f1f795a","resolution":{"observed_at":"2026-08-06T15:19:27.707357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/jp710575h","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:28.273924Z","title":"& Grimme, S","venue":null,"work_id":"5c21d6c9-cf71-411a-9371-0abb48a7324d","year":2023},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":579,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.625359Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:369bf84668b6061ea8af53e7a4ee55fa8ab71d18fff9d5650fc38fbbf2bf7c13","observation_id":"726487c1-6344-46b3-8af4-5c117730055a","resolution":{"observed_at":"2026-08-06T15:19:28.312228Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:27.433631Z","title":"Hellweg, A","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":1986,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.433631Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:c0df09afaead33ecf04bd3304d0b0b47359c214118176b1ac8b7538f4fba593b","observation_id":"1f18bf64-63b5-4eff-8555-a8ccfb9c5df5","resolution":{"observed_at":"2026-08-06T15:19:27.433631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:29.129865Z","title":"& Tripp, J","venue":null,"work_id":"71d508ec-d8e9-445a-838c-1799189b2ff6","year":2023},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.868083Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:7d6a5ea95c65a81b0c6cf69f0d8d1eae0ccf1f1c8078e7b46f7d88236180bd65","observation_id":"2cbb6373-02e2-4a83-804e-21ae0c342c00","resolution":{"observed_at":"2026-08-06T15:19:29.224319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:27.966628Z","title":"C., Pickard, F","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.966628Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:5c48a6a1836fc1f9f4cd90905193676f8950204ff5e094095aa90f9aa74e4123","observation_id":"aea7df8c-3b94-4635-a8f0-63f74c58da22","resolution":{"observed_at":"2026-08-06T15:19:27.966628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:29.526406Z","title":"& Dideberg, O","venue":null,"work_id":"50618e0b-f966-40ba-b55f-6de6765fe8ee","year":1972},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.219131Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:6a5382b9ea809231f65bedb04d1c2f8c1887453151df7266d90e6b4547643fb6","observation_id":"0b00ed93-0e23-47bf-a0ea-13ada7f8ad6f","resolution":{"observed_at":"2026-08-06T15:19:29.595011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:28.081844Z","title":"& Toennies, J","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":2991,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:28.081844Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:0cb071ee2d8d98b0c8511cef9b178641063d8208e543e27cf98910d3704a1178","observation_id":"8666d075-4c69-4d9e-bb17-e730c71835f7","resolution":{"observed_at":"2026-08-06T15:19:28.081844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"gov/1098984","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:28.687599Z","title":"C., Kuang, J., Wang, L., Zhang, C., Carbone, M","venue":null,"work_id":"1386f49e-218b-456a-a440-8068e8e62027","year":2025},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":3042,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.329816Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:199fe8148c6c7290d05c26373cc90f4196edcb80d77bdb5f6eaae395b9c25906","observation_id":"fd03afb9-8831-4ba2-adca-181b038b0226","resolution":{"observed_at":"2026-08-06T15:19:28.774805Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:19:29.328567Z","title":"D., Markland, T","venue":null,"work_id":"dbcf6232-4b79-4186-a37a-d18e9dee7d52","year":2024},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":5148,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.783172Z"},"links":{"citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:efbf5506b70eb56de082ad6f8b5bd24c3b20205337580e9151cd679161047495","observation_id":"fea6a9c0-6f35-4db1-af6c-4412946f400f","resolution":{"observed_at":"2026-08-06T15:19:29.421342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20955","last_updated":"2025-06-11T13:16:02Z","snapshot_observed_at":"2026-08-09T10:51:42.331065Z","submitted_at":"2025-04-29T17:26:21Z","title":"Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic Simulation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.20955","snapshot_observed_at":"2026-08-06T15:19:27.544495Z","title":"& L´ opez, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials","version":1},"reference_index":6615,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:27.544495Z"},"links":{"cited_paper":"/paper/2504.20955","citing_paper":"/paper/2507.16218"},"observation_digest":"sha256:4cd73b66fb889418b585f76bc3f5a8f46652f320811c5b39e7954d9a94d64152","observation_id":"6d8304ad-4ef6-45a9-94b7-ae1485564dc8","resolution":{"observed_at":"2026-08-06T15:19:27.544495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.16218","last_updated":"2025-07-22T04:26:16Z","latest_version":1,"primary_category":"physics.chem-ph","snapshot_observed_at":"2026-08-06T15:12:56.860661Z","submitted_at":"2025-07-22T04:26:16Z","title":"Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials"},"reference_resolution":{"displayed":11,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":3,"verified_fuzzy":3},"total_outbound_references":11},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2507.16218."}