{"as_of":"2026-08-08T02:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5415244aea63bd8cf503f8d854340534914465decaa46d52df2b79da0ce9a81c","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T19:26:34.217315Z","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":"2026-07-02T03:06:28.991682Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.09851","last_updated":"2025-05-11T02:19:58Z","snapshot_observed_at":"2026-07-06T19:50:42.251149Z","submitted_at":"2024-11-15T00:09:37Z","title":"SymbolFit: Automatic Parametric Modeling with Symbolic Regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.09851","snapshot_observed_at":"2026-08-06T19:26:34.217315Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05858","last_updated":"2025-07-08T10:37:35Z","snapshot_observed_at":"2026-08-07T01:41:11.016435Z","submitted_at":"2025-07-08T10:37:35Z","title":"$\\mathcal{CP}$-Analyses with Symbolic Regression","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:34.217315Z"},"links":{"cited_paper":"/paper/2411.09851","citing_paper":"/paper/2507.05858"},"observation_digest":"sha256:7724279fef1adbec8c6d354e08dbf82084b12cb55bd93f82e1e7121b6f801383","observation_id":"ab002030-c398-4894-8f0c-f8e693e78d11","resolution":{"observed_at":"2026-08-06T19:26:34.217315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.09851","last_updated":"2025-05-11T02:19:58Z","snapshot_observed_at":"2026-07-06T19:50:42.251149Z","submitted_at":"2024-11-15T00:09:37Z","title":"SymbolFit: Automatic Parametric Modeling with Symbolic Regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.09851","snapshot_observed_at":"2026-08-05T23:49:24.146504Z","title":"SymbolFit: Automatic Parametric Modeling with Symbolic Regression,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04920","last_updated":"2025-08-06T22:51:00Z","snapshot_observed_at":"2026-08-06T03:53:53.019329Z","submitted_at":"2025-08-06T22:51:00Z","title":"Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T23:49:24.146504Z"},"links":{"cited_paper":"/paper/2411.09851","citing_paper":"/paper/2508.04920"},"observation_digest":"sha256:54f8ee566f0f4c5fc08b0a7c14f9c91a585472e63e33648df8e30c12be369ec3","observation_id":"8bdec301-024a-4b02-9790-ab14dded6471","resolution":{"observed_at":"2026-08-05T23:49:24.146504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.09851","last_updated":"2025-05-11T02:19:58Z","snapshot_observed_at":"2026-07-06T19:50:42.251149Z","submitted_at":"2024-11-15T00:09:37Z","title":"SymbolFit: Automatic Parametric Modeling with Symbolic Regression","version":4},"cited_work":{"arxiv_id":"2411.09851","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.09851","snapshot_observed_at":"2026-07-02T03:06:28.991682Z","title":null,"venue":null,"work_id":"9304dd67-6bcd-4560-8251-c1c88d9bc100","year":2025},"citing_paper":{"arxiv_id":"2607.00884","last_updated":"2026-07-01T12:51:16Z","snapshot_observed_at":"2026-08-07T02:48:10.202119Z","submitted_at":"2026-07-01T12:51:16Z","title":"Modeling Falling Backgrounds with Exponential Mixtures","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-02T03:00:04.390291Z"},"links":{"cited_paper":"/paper/2411.09851","citing_paper":"/paper/2607.00884"},"observation_digest":"sha256:90a10eacf15e1b2684c3d0a44e4a4c983e5bf295bb5acdcae005ed9459b4b039","observation_id":"b9567636-7356-454f-94d1-58599e92d48f","resolution":{"observed_at":"2026-07-02T03:06:28.993974Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.09851","last_updated":"2025-05-11T02:19:58Z","snapshot_observed_at":"2026-07-06T19:50:42.251149Z","submitted_at":"2024-11-15T00:09:37Z","title":"SymbolFit: Automatic Parametric Modeling with Symbolic Regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.09851","snapshot_observed_at":"2026-08-01T11:51:34.152055Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19750","last_updated":"2026-07-22T04:47:30Z","snapshot_observed_at":"2026-08-03T17:10:08.317861Z","submitted_at":"2026-07-22T04:47:30Z","title":"Machine Can Automatically Discover Parametric Functions to Model HEP Data","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T11:51:34.152055Z"},"links":{"cited_paper":"/paper/2411.09851","citing_paper":"/paper/2607.19750"},"observation_digest":"sha256:1e51afc07c1912843fe6f9b9065261559257cdc53dd60bd3eb5ee56bd5f5572e","observation_id":"08e46b4a-42f0-465e-aac6-c93adb538310","resolution":{"observed_at":"2026-08-01T11:51:34.152055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.09851/citation-record","integrity":"/paper/2411.09851/integrity","json":"/paper/2411.09851/citation-record.json","paper":"/paper/2411.09851"},"outbound":[],"paper":{"arxiv_id":"2411.09851","last_updated":"2025-05-11T02:19:58Z","latest_version":4,"primary_category":"hep-ex","snapshot_observed_at":"2026-07-06T19:50:42.251149Z","submitted_at":"2024-11-15T00:09:37Z","title":"SymbolFit: Automatic Parametric Modeling with Symbolic Regression"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.09851."}