{"as_of":"2026-08-15T18:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f75364981063b8e313c732db27af1fee5812dcdf573dfbaa1fb134e53e3de10a","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T17:35:46.523209Z","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":"2026-07-04T19:30:06.915860Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems","version":2},"cited_work":{"arxiv_id":"2406.00091","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.00091","snapshot_observed_at":"2026-07-04T19:30:06.915860Z","title":"Lange, G","venue":null,"work_id":"4f35f157-c88b-4d19-919e-57fa812c3818","year":2025},"citing_paper":{"arxiv_id":"2412.11778","last_updated":"2026-04-24T09:44:13Z","snapshot_observed_at":"2026-08-13T23:36:41.722121Z","submitted_at":"2024-12-16T13:48:54Z","title":"Time-dependent Neural Galerkin Method for Quantum Dynamics","version":4},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-23T07:09:24.451702Z"},"links":{"cited_paper":"/paper/2406.00091","citing_paper":"/paper/2412.11778"},"observation_digest":"sha256:3fae89f11935c2df03da6e46ed270eefc36686877b2b7ac957b3ea499404085e","observation_id":"0e08f0f1-2399-47e0-ba9c-3934664e46d7","resolution":{"observed_at":"2026-05-23T07:12:41.646819Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00091","snapshot_observed_at":"2026-08-10T17:35:46.523209Z","title":"Lange, G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.12130","last_updated":"2025-01-21T13:44:52Z","snapshot_observed_at":"2026-08-15T15:54:12.502587Z","submitted_at":"2025-01-21T13:44:52Z","title":"Quantum-enhanced neural networks for quantum many-body simulations","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T17:35:46.523209Z"},"links":{"cited_paper":"/paper/2406.00091","citing_paper":"/paper/2501.12130"},"observation_digest":"sha256:347684690441ebcf285e5f9b95464d6a8a92b50b5aa14e2c0df556d207dc4804","observation_id":"7f5dcfdc-2501-4d94-a84a-5ab32f16470c","resolution":{"observed_at":"2026-08-10T17:35:46.523209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00091","snapshot_observed_at":"2026-08-07T04:19:32.506093Z","title":"Lange, G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11227","last_updated":"2025-06-12T18:49:09Z","snapshot_observed_at":"2026-08-15T08:35:27.111954Z","submitted_at":"2025-06-12T18:49:09Z","title":"Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:32.506093Z"},"links":{"cited_paper":"/paper/2406.00091","citing_paper":"/paper/2506.11227"},"observation_digest":"sha256:469e49e938f8448c662db45341929be7bc99504caba1cc00ee48c8ccf10298d1","observation_id":"487980cd-f431-4800-a865-c8d859ebca84","resolution":{"observed_at":"2026-08-07T04:19:32.506093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems","version":2},"cited_work":{"arxiv_id":"2406.00091","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.00091","snapshot_observed_at":"2026-07-04T19:30:06.915860Z","title":"Lange, G","venue":null,"work_id":"4f35f157-c88b-4d19-919e-57fa812c3818","year":2025},"citing_paper":{"arxiv_id":"2604.24337","last_updated":"2026-08-03T09:44:05Z","snapshot_observed_at":"2026-08-15T00:58:28.462574Z","submitted_at":"2026-04-27T11:27:32Z","title":"New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T04:14:59.095465Z"},"links":{"cited_paper":"/paper/2406.00091","citing_paper":"/paper/2604.24337"},"observation_digest":"sha256:a3a9907bb47ae8b162b0bc31a8d0948e39691ecd184ea3ee91fcc0d9bc7d1aad","observation_id":"05082622-40aa-42e1-8254-662c736531c4","resolution":{"observed_at":"2026-05-11T21:46:49.301579Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00091","snapshot_observed_at":"2026-08-02T15:30:38.910599Z","title":"Lange, G","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.24337","last_updated":"2026-08-03T09:44:05Z","snapshot_observed_at":"2026-08-15T00:58:28.462574Z","submitted_at":"2026-04-27T11:27:32Z","title":"New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T15:30:38.910599Z"},"links":{"cited_paper":"/paper/2406.00091","citing_paper":"/paper/2604.24337"},"observation_digest":"sha256:d9b7fbe3f8fa2cc25c5d8408c63a581cc541655d764609cae006f5b1bdb00846","observation_id":"928df175-19a1-46dd-8e29-811ceae0e913","resolution":{"observed_at":"2026-08-02T15:30:38.910599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00091","snapshot_observed_at":"2026-08-04T05:27:40.226572Z","title":"Lange, G","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.24337","last_updated":"2026-08-03T09:44:05Z","snapshot_observed_at":"2026-08-15T00:58:28.462574Z","submitted_at":"2026-04-27T11:27:32Z","title":"New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T05:27:40.226572Z"},"links":{"cited_paper":"/paper/2406.00091","citing_paper":"/paper/2604.24337"},"observation_digest":"sha256:f28325eec67b59d7798b47bcd0929983f9eaf59b452558f6c15c319c64e89e62","observation_id":"6fdd5741-0961-42fc-954b-17331c792692","resolution":{"observed_at":"2026-08-04T05:27:40.226572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems","version":2},"cited_work":{"arxiv_id":"2406.00091","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.00091","snapshot_observed_at":"2026-07-04T19:30:06.915860Z","title":"Lange, G","venue":null,"work_id":"4f35f157-c88b-4d19-919e-57fa812c3818","year":2025},"citing_paper":{"arxiv_id":"2606.25600","last_updated":"2026-06-24T09:07:07Z","snapshot_observed_at":"2026-08-11T18:10:53.283949Z","submitted_at":"2026-06-24T09:07:07Z","title":"Two-dimensional Hyperbolic RNN Neural Quantum State","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-25T21:21:56.164182Z"},"links":{"cited_paper":"/paper/2406.00091","citing_paper":"/paper/2606.25600"},"observation_digest":"sha256:b8349e55396bd59003cbb281f8b8fdbc20b388a5aea689c227e331363ce1c355","observation_id":"383c26ec-3b79-4e04-ae73-ec2916c6975d","resolution":{"observed_at":"2026-07-04T19:30:06.917503Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.00091/citation-record","integrity":"/paper/2406.00091/integrity","json":"/paper/2406.00091/citation-record.json","paper":"/paper/2406.00091"},"outbound":[],"paper":{"arxiv_id":"2406.00091","last_updated":"2025-03-19T11:40:24Z","latest_version":2,"primary_category":"cond-mat.dis-nn","snapshot_observed_at":"2026-08-12T23:52:55.511108Z","submitted_at":"2024-05-31T17:55:27Z","title":"Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.00091."}