{"as_of":"2026-08-10T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:351360d908c3cb2d7e82a451c6a4c3fcdecd1969736c018bf21c065871c95798","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T00:09:30.933628Z","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":"2026-05-18T03:22:20.981770Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.08469","last_updated":"2023-03-09T08:28:15Z","snapshot_observed_at":"2026-08-06T08:34:54.664774Z","submitted_at":"2022-12-16T13:31:31Z","title":"Learning Trivializing Gradient Flows for Lattice Gauge Theories","version":2},"cited_work":{"arxiv_id":"2212.08469","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.08469","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bacchio, P","venue":null,"work_id":"fa549aef-822b-4c86-804b-fc05656dae22","year":2023},"citing_paper":{"arxiv_id":"2411.04268","last_updated":"2026-02-06T14:51:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-06T21:21:37Z","title":"FLAG Review 2024","version":3},"reference_index":173,"source":"pdf_text","source_observed_at":"2026-05-16T00:40:53.221422Z"},"links":{"cited_paper":"/paper/2212.08469","citing_paper":"/paper/2411.04268"},"observation_digest":"sha256:9063bb187aa3b5b2006ef0e188e689785afa91709eb6dba9c53ffbc5dd3d5503","observation_id":"5945c19c-1937-402e-8f23-7420cf5e701c","resolution":{"observed_at":"2026-05-16T00:40:54.455511Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08469","last_updated":"2023-03-09T08:28:15Z","snapshot_observed_at":"2026-08-06T08:34:54.664774Z","submitted_at":"2022-12-16T13:31:31Z","title":"Learning Trivializing Gradient Flows for Lattice Gauge Theories","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08469","snapshot_observed_at":"2026-08-10T00:09:30.933628Z","title":"Bacchio, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18288","last_updated":"2025-01-30T11:56:16Z","snapshot_observed_at":"2026-08-10T07:21:08.264309Z","submitted_at":"2025-01-30T11:56:16Z","title":"Normalizing flows for SU($N$) gauge theories employing singular value decomposition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T00:09:30.933628Z"},"links":{"cited_paper":"/paper/2212.08469","citing_paper":"/paper/2501.18288"},"observation_digest":"sha256:01e55d98e11e705f8be673316da1296d2e83e7468ad10b7d575bbbb4a11fdbb8","observation_id":"85016b52-37be-418f-b2c6-c85747ead111","resolution":{"observed_at":"2026-08-10T00:09:30.933628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08469","last_updated":"2023-03-09T08:28:15Z","snapshot_observed_at":"2026-08-06T08:34:54.664774Z","submitted_at":"2022-12-16T13:31:31Z","title":"Learning Trivializing Gradient Flows for Lattice Gauge Theories","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08469","snapshot_observed_at":"2026-08-09T11:38:41.779670Z","title":"Bacchio, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02670","last_updated":"2025-02-20T21:20:33Z","snapshot_observed_at":"2026-08-09T19:57:03.728009Z","submitted_at":"2025-02-04T19:18:44Z","title":"Machine-learning approaches to accelerating lattice simulations","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T11:38:41.779670Z"},"links":{"cited_paper":"/paper/2212.08469","citing_paper":"/paper/2502.02670"},"observation_digest":"sha256:765486e76bd122563972207e77486e9506684880d82ce906d9910a5c8916dc8d","observation_id":"864d1f37-14e9-48df-b167-d38e1dc36829","resolution":{"observed_at":"2026-08-09T11:38:41.779670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08469","last_updated":"2023-03-09T08:28:15Z","snapshot_observed_at":"2026-08-06T08:34:54.664774Z","submitted_at":"2022-12-16T13:31:31Z","title":"Learning Trivializing Gradient Flows for Lattice Gauge Theories","version":2},"cited_work":{"arxiv_id":"2212.08469","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.08469","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bacchio, P","venue":null,"work_id":"fa549aef-822b-4c86-804b-fc05656dae22","year":2023},"citing_paper":{"arxiv_id":"2510.25704","last_updated":"2026-04-10T12:30:09Z","snapshot_observed_at":"2026-07-06T22:34:23.736456Z","submitted_at":"2025-10-29T17:12:21Z","title":"Scaling flow-based approaches for topology sampling in $\\mathrm{SU}(3)$ gauge theory","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-18T03:21:13.881357Z"},"links":{"cited_paper":"/paper/2212.08469","citing_paper":"/paper/2510.25704"},"observation_digest":"sha256:5d957d0b495f1580fa1426df003e92c70c08de8eee4977c52342353f687f1768","observation_id":"c5cfe325-8f3c-4048-a2a8-82b1384cb5d5","resolution":{"observed_at":"2026-05-18T03:22:20.984603Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08469","last_updated":"2023-03-09T08:28:15Z","snapshot_observed_at":"2026-08-06T08:34:54.664774Z","submitted_at":"2022-12-16T13:31:31Z","title":"Learning Trivializing Gradient Flows for Lattice Gauge Theories","version":2},"cited_work":{"arxiv_id":"2212.08469","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.08469","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bacchio, P","venue":null,"work_id":"fa549aef-822b-4c86-804b-fc05656dae22","year":2023},"citing_paper":{"arxiv_id":"2604.10209","last_updated":"2026-04-11T13:35:19Z","snapshot_observed_at":"2026-07-06T22:58:51.931478Z","submitted_at":"2026-04-11T13:35:19Z","title":"Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T16:02:25.832563Z"},"links":{"cited_paper":"/paper/2212.08469","citing_paper":"/paper/2604.10209"},"observation_digest":"sha256:517ecaf6a04999be3d177e21bad4ae58b02b349902b12e43b70f0a415f7f91d5","observation_id":"de10eac6-a1aa-4d6c-a205-2620fca1daa3","resolution":{"observed_at":"2026-05-11T09:26:00.798762Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08469","last_updated":"2023-03-09T08:28:15Z","snapshot_observed_at":"2026-08-06T08:34:54.664774Z","submitted_at":"2022-12-16T13:31:31Z","title":"Learning Trivializing Gradient Flows for Lattice Gauge Theories","version":2},"cited_work":{"arxiv_id":"2212.08469","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.08469","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bacchio, P","venue":null,"work_id":"fa549aef-822b-4c86-804b-fc05656dae22","year":2023},"citing_paper":{"arxiv_id":"2605.06134","last_updated":"2026-05-07T12:34:27Z","snapshot_observed_at":"2026-08-02T16:52:29.809718Z","submitted_at":"2026-05-07T12:34:27Z","title":"Diffusion model for SU(N) gauge theories","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T03:29:57.715264Z"},"links":{"cited_paper":"/paper/2212.08469","citing_paper":"/paper/2605.06134"},"observation_digest":"sha256:7198092ceb705f6e0dc38e251ba6c0b70bb2e1534861dc27bd063c3a0399a525","observation_id":"45c550cf-7192-4ab9-a261-aec252516a88","resolution":{"observed_at":"2026-05-11T22:06:14.129103Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.08469/citation-record","integrity":"/paper/2212.08469/integrity","json":"/paper/2212.08469/citation-record.json","paper":"/paper/2212.08469"},"outbound":[],"paper":{"arxiv_id":"2212.08469","last_updated":"2023-03-09T08:28:15Z","latest_version":2,"primary_category":"hep-lat","snapshot_observed_at":"2026-08-06T08:34:54.664774Z","submitted_at":"2022-12-16T13:31:31Z","title":"Learning Trivializing Gradient Flows for Lattice Gauge Theories"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2212.08469."}