{"as_of":"2026-08-09T23:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2a8ba0d2e5ec77d54ee96a1c02f5f74b90f8f5dadb60be6326f3b28f2be4baa0","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T15:33:58.190187Z","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":"2026-07-04T14:39:58.308474Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.08154","last_updated":"2025-02-14T17:05:55Z","snapshot_observed_at":"2026-08-09T20:12:52.810251Z","submitted_at":"2024-06-12T12:43:44Z","title":"A Neural-Network-Based Selective Configuration Interaction Approach to Molecular Electronic Structure","version":2},"cited_work":{"arxiv_id":"2406.08154","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.08154","snapshot_observed_at":"2026-07-04T14:39:58.308474Z","title":null,"venue":null,"work_id":"0b203008-8620-4367-a7ee-62fd76d4f484","year":2025},"citing_paper":{"arxiv_id":"2606.26760","last_updated":"2026-06-25T08:47:04Z","snapshot_observed_at":"2026-08-06T02:30:23.987055Z","submitted_at":"2026-06-25T08:47:04Z","title":"An Iterative Dual-Channel Neural Quantum State Algorithm for Selected Configuration Interaction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T02:50:50.973675Z"},"links":{"cited_paper":"/paper/2406.08154","citing_paper":"/paper/2606.26760"},"observation_digest":"sha256:0c01b3b85c3ee5f613dbf6415ac1abd8492fb45ee20a67dcbc5c8479d76d9cd3","observation_id":"aebb9fa4-ed48-4205-beb8-2459a5ce559d","resolution":{"observed_at":"2026-07-04T14:39:58.310451Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2406.08154","last_updated":"2025-02-14T17:05:55Z","snapshot_observed_at":"2026-08-09T20:12:52.810251Z","submitted_at":"2024-06-12T12:43:44Z","title":"A Neural-Network-Based Selective Configuration Interaction Approach to Molecular Electronic Structure","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08154","snapshot_observed_at":"2026-08-08T15:33:58.190187Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05314","last_updated":"2026-08-05T18:15:19Z","snapshot_observed_at":"2026-08-09T23:10:33.081960Z","submitted_at":"2026-08-05T18:15:19Z","title":"Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-08T15:33:58.190187Z"},"links":{"cited_paper":"/paper/2406.08154","citing_paper":"/paper/2608.05314"},"observation_digest":"sha256:3baebd3fdc68959368e4e228bd4e00227696d8068707cc450e958f7b48d11073","observation_id":"20ff22d9-7bfb-4ca5-95a6-8a40124b90cb","resolution":{"observed_at":"2026-08-08T15:33:58.190187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.08154/citation-record","integrity":"/paper/2406.08154/integrity","json":"/paper/2406.08154/citation-record.json","paper":"/paper/2406.08154"},"outbound":[],"paper":{"arxiv_id":"2406.08154","last_updated":"2025-02-14T17:05:55Z","latest_version":2,"primary_category":"physics.chem-ph","snapshot_observed_at":"2026-08-09T20:12:52.810251Z","submitted_at":"2024-06-12T12:43:44Z","title":"A Neural-Network-Based Selective Configuration Interaction Approach to Molecular Electronic Structure"},"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":"2026-08-09T06:31:02.800959+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 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.08154."}