{"as_of":"2026-08-08T09:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e439b92a5165774067fe89f05b801ae6d99f727cf2d2c39a9a01bbe8c99ae91e","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:41:09.907897Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-08-02T20:08:33.861358Z","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":"2026-07-10T12:15:01.137692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.13033","snapshot_observed_at":"2026-08-02T20:08:33.861358Z","title":"arXiv e- prints , arXiv:2507.130332507.13033","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.24022","last_updated":"2026-06-14T16:57:34Z","snapshot_observed_at":"2026-08-06T15:23:47.129137Z","submitted_at":"2026-02-27T13:49:10Z","title":"Comparison of symbolic regression algorithms in Star/galaxy/quasar separation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T20:08:33.861358Z"},"links":{"cited_paper":"/paper/2507.13033","citing_paper":"/paper/2602.24022"},"observation_digest":"sha256:d245b3edfdc4eb1cbbe16c26c35c645851f6ac18c35ed1f2f654752cf1e2f3f3","observation_id":"86bc845c-d0a0-4d31-9e5d-1f619a0feba2","resolution":{"observed_at":"2026-08-02T20:08:33.861358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"cited_work":{"arxiv_id":"2507.13033","doi":"10.48550/arxiv.2507.13033","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.13033","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Desmond, (Exhaustive) Symbolic Regression and model selection by minimum description length (2025), arXiv:2507.13033 [astro-ph.IM]","venue":null,"work_id":"20923a4a-e420-47ac-8bfa-1a91c3b1c1f2","year":2025},"citing_paper":{"arxiv_id":"2604.05822","last_updated":"2026-07-01T06:55:49Z","snapshot_observed_at":"2026-07-31T21:45:32.364088Z","submitted_at":"2026-04-07T12:54:53Z","title":"Model-independent constraints on generalized FLRW consistency relations with bootstrap-based symbolic regression","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T19:17:36.060855Z"},"links":{"cited_paper":"/paper/2507.13033","citing_paper":"/paper/2604.05822"},"observation_digest":"sha256:88bea3b25de1a939ad0f078f6d89fc798f6e3a6392564fdb11d143d9ff7123ec","observation_id":"849de635-669e-4428-9bf9-1ae30d86cb7a","resolution":{"observed_at":"2026-05-10T23:10:53.181988Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"cited_work":{"arxiv_id":"2507.13033","doi":"10.48550/arxiv.2507.13033","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.13033","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Desmond, (Exhaustive) Symbolic Regression and model selection by minimum description length (2025), arXiv:2507.13033 [astro-ph.IM]","venue":null,"work_id":"20923a4a-e420-47ac-8bfa-1a91c3b1c1f2","year":2025},"citing_paper":{"arxiv_id":"2604.23236","last_updated":"2026-04-25T10:19:56Z","snapshot_observed_at":"2026-07-06T23:09:29.537323Z","submitted_at":"2026-04-25T10:19:56Z","title":"The functional form of galaxy and halo luminosity and mass functions","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-08T07:35:41.495431Z"},"links":{"cited_paper":"/paper/2507.13033","citing_paper":"/paper/2604.23236"},"observation_digest":"sha256:16e1a36b1b4c268ea84b8bf8fd7a198d0c0092aca1655e61c473e5c91119ff49","observation_id":"c1f9ab9f-517b-4951-bd1c-4bf6f932a17e","resolution":{"observed_at":"2026-05-08T22:54:24.646384Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"cited_work":{"arxiv_id":"2507.13033","doi":"10.48550/arxiv.2507.13033","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.13033","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Desmond, (Exhaustive) Symbolic Regression and model selection by minimum description length (2025), arXiv:2507.13033 [astro-ph.IM]","venue":null,"work_id":"20923a4a-e420-47ac-8bfa-1a91c3b1c1f2","year":2025},"citing_paper":{"arxiv_id":"2606.17951","last_updated":"2026-06-16T14:04:36Z","snapshot_observed_at":"2026-07-06T23:53:25.839293Z","submitted_at":"2026-06-16T14:04:36Z","title":"Data-Driven Discovery of a Simple Phantom-Crossing Dark Energy Parametrization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T23:43:53.400685Z"},"links":{"cited_paper":"/paper/2507.13033","citing_paper":"/paper/2606.17951"},"observation_digest":"sha256:b3faf50ae0baccc6bd6316c3ea3ea562cbfb56dd44e76dde5795c21bf5e6bb4e","observation_id":"1973bbb0-f903-4c8b-8f10-ad9b0b5edf70","resolution":{"observed_at":"2026-07-03T22:08:59.559231Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.13033/citation-record","integrity":"/paper/2507.13033/integrity","json":"/paper/2507.13033/citation-record.json","paper":"/paper/2507.13033"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.14623","last_updated":"2024-10-18T17:22:38Z","snapshot_observed_at":"2026-07-06T19:36:05.879892Z","submitted_at":"2024-10-18T17:22:38Z","title":"syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14623","snapshot_observed_at":"2026-08-06T16:41:05.477485Z","title":"2024 syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy.arXiv e-printsp","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:05.477485Z"},"links":{"cited_paper":"/paper/2410.14623","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:613e45138a508c5040b69a0f06091dce25aee446013289dca534b99df00a6fd4","observation_id":"046891bc-cad5-4a91-9f0d-d10434c3017d","resolution":{"observed_at":"2026-08-06T16:41:05.477485Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:05.535288Z","title":"1950 I.—COMPUTING MACHINERY AND INTELLIGENCE.MindLIX, 433–460","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:05.535288Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:6583752492bd7e37473fc342fe4b4b57f1e44e92fbebb9188ee105de128923c7","observation_id":"df3fb50a-34d8-41e8-a8bc-9851894106c2","resolution":{"observed_at":"2026-08-06T16:41:05.535288Z","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":"2026-08-06T16:41:11.981601Z","title":"1989Genetic Algorithms in Search, Optimization and Machine Learning","venue":null,"work_id":"4efb5c7f-ebd7-4af4-bb84-5d5a550a180c","year":null},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:05.595648Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:03aad106a659f9062096d206d0d04de84a82ed36bbf4a050a3e69ce86816df00","observation_id":"43ba99ae-3c07-441d-a992-856bea68bf0b","resolution":{"observed_at":"2026-08-06T16:41:12.071242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:41:11.836886Z","title":"2004Practical genetic algorithms","venue":null,"work_id":"b16e19bd-6781-4653-82c6-6163c839d2b8","year":null},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:05.681707Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:5f46d2ddab98da1d1307b078310553f8a4a84b27e11636a1c281903b207e635a","observation_id":"f9a72290-ff58-45f9-8c84-5e15feac490d","resolution":{"observed_at":"2026-08-06T16:41:11.919163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:41:05.755536Z","title":"2020 Operon C++: an efficient genetic programming framework for symbolic regression","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:05.755536Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:3052081faa1236af0397ec9f9c0353b46f661ca76a84882d11dbc239680c9f28","observation_id":"ce14191f-2ca1-451f-9e7c-bde7e1a1bf16","resolution":{"observed_at":"2026-08-06T16:41:05.755536Z","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":"2026-08-06T16:41:11.673388Z","title":"2020 Discovering Symbolic Models from Deep Learning with Inductive Biases.NeurIPS 2020","venue":null,"work_id":"3dd1da04-3002-416a-987a-5be748015618","year":2020},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:05.848187Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:cddbc3648bb66d72424567e73750d68d659524f9895bfa3e8400c2e5297a87cb","observation_id":"50df5115-b6e8-4c51-9a14-178b3cf30de4","resolution":{"observed_at":"2026-08-06T16:41:11.735199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:41:11.493590Z","title":"Data Modeler 9.5.1","venue":null,"work_id":"33aa12f5-af99-4964-a66d-39e7d2be5d0f","year":2021},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:05.941512Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:4f0a591d1964b833b1b0617926e58836482f14a0e7b1ee22acc764fd14dca170","observation_id":"a3cdcab6-cfc2-4d67-8d0f-2a5e3f2aa709","resolution":{"observed_at":"2026-08-06T16:41:11.569557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:41:06.017571Z","title":"2009 Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.017571Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:64961076724cf58dcfaba87172528eb7d944a9fd79d227246a2d302d75b23d56","observation_id":"b2e6c5ef-1923-46ad-802d-9122c67d8b9f","resolution":{"observed_at":"2026-08-06T16:41:06.017571Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:06.129605Z","title":"2024 Exhaustive Symbolic Regression.IEEE Transactions on Evolutionary Computation28, 950–964","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.129605Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:811819bbb489c3e9a1323273b82645014036bf8cad06793f727cd32d22d0c4bf","observation_id":"22934dfa-0d04-402e-b257-37ec7ed96165","resolution":{"observed_at":"2026-08-06T16:41:06.129605Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:06.162129Z","title":"2022 Exhaustive Symbolic Regression Function Sets","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.162129Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:99093a77ce96b17e79b1301c2a32f95c0b9993efb82e25820734a2486164e42e","observation_id":"032664ea-9542-4179-9646-f5581c87bb9d","resolution":{"observed_at":"2026-08-06T16:41:06.162129Z","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":"2026-08-06T16:41:11.338157Z","title":"1996 The Structure of Cold Dark Matter Halos.ApJ462,","venue":null,"work_id":"9da0d306-4b9d-4430-ba82-1ad9537aa575","year":1996},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.255642Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:ab35fb62f47fb30ff97c5eb39ed3c23916385dce0008c11185191fad1d5c843c","observation_id":"6d2926cb-b3a3-4b86-9cdd-1843e3f59e9a","resolution":{"observed_at":"2026-08-06T16:41:11.406530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.14351","last_updated":"2021-07-29T22:12:59Z","snapshot_observed_at":"2026-07-06T11:33:58.035943Z","submitted_at":"2021-07-29T22:12:59Z","title":"Contemporary Symbolic Regression Methods and their Relative Performance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.14351","snapshot_observed_at":"2026-08-06T16:41:06.378542Z","title":"2021 Contemporary Symbolic Regression Methods and their Relative Performance","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.378542Z"},"links":{"cited_paper":"/paper/2107.14351","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:ca1d9564ac6b656fe4d013eab5aad4222e35effd3e71d998054aa4cc803019ce","observation_id":"05ccaf6b-e6ae-47aa-85d0-da1b3692cd02","resolution":{"observed_at":"2026-08-06T16:41:06.378542Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:06.484625Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.484625Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:663aeeefe52297f18806c4af08e324cc678bd8e875c834b046c8eeaa18c50f9c","observation_id":"a32cb2c0-604a-47ef-9154-fd4b3d81f41a","resolution":{"observed_at":"2026-08-06T16:41:06.484625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.05417","last_updated":"2021-04-12T12:50:50Z","snapshot_observed_at":"2026-07-06T10:58:41.121273Z","submitted_at":"2021-04-12T12:50:50Z","title":"An Approach to Symbolic Regression Using Feyn","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.05417","snapshot_observed_at":"2026-08-06T16:41:06.601222Z","title":"2021 An Approach to Symbolic Regression Using Feyn.arXiv e-printsp","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.601222Z"},"links":{"cited_paper":"/paper/2104.05417","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:4b94596c3ffaac274910b857c096e6f2be198032d9c617c230e3cc12b0ec7ef7","observation_id":"9f941d9c-82a2-44a4-8fe5-d0afdcc31bd9","resolution":{"observed_at":"2026-08-06T16:41:06.601222Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:06.686197Z","title":"2020 PySR: Fast & Parallelized Symbolic Regression in Python/Julia","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.686197Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:f264f3cbbdcbcc3cfa42c89963e82c9f3fd3b8ed071973159e751f6d961405f2","observation_id":"07e60e68-6f3c-4eae-8416-9bf6beea35ec","resolution":{"observed_at":"2026-08-06T16:41:06.686197Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:06.809691Z","title":"1978 Modeling by shortest data description.Automatica14, 465–471","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.809691Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:17537d148658eff0fab8d05542e0aa23e28df7cd790ab44c98d03d714f5fc93a","observation_id":"556759cd-d133-4cf4-be4a-431ac035cc9a","resolution":{"observed_at":"2026-08-06T16:41:06.809691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.08484","last_updated":"2019-12-18T13:54:57Z","snapshot_observed_at":"2026-08-04T02:17:00.326210Z","submitted_at":"2019-08-21T11:42:56Z","title":"Minimum Description Length Revisited","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.08484","snapshot_observed_at":"2026-08-06T16:41:06.933607Z","title":"2019 Minimum Description Length Revisited.arXiv e-printsp","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:06.933607Z"},"links":{"cited_paper":"/paper/1908.08484","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:4d4cb3372c423edd61c751c4801325ab59b9604a6d058f8d5162eb513d66ad68","observation_id":"673bb6e8-4901-4ad6-907c-1bacafcc3b18","resolution":{"observed_at":"2026-08-06T16:41:06.933607Z","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":"2026-08-06T16:41:11.191051Z","title":"1991Elements of Information Theory","venue":null,"work_id":"c2a426fb-aed4-4829-9f46-870cfdf525f1","year":null},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:07.098051Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:48380b5f4611e00fcbbd5d7b47096bc960066cc583d37a03e6e9f48e69788223","observation_id":"7ba3db17-33ef-4b1d-914f-2815303aa888","resolution":{"observed_at":"2026-08-06T16:41:11.272671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06333","last_updated":"2023-06-02T07:50:25Z","snapshot_observed_at":"2026-07-06T15:15:10.978416Z","submitted_at":"2023-04-13T08:29:16Z","title":"Priors for symbolic regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06333","snapshot_observed_at":"2026-08-06T16:41:07.259263Z","title":"2023 Priors for symbolic regression.arXiv e-printsp","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:07.259263Z"},"links":{"cited_paper":"/paper/2304.06333","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:627b597a11d9ca23348ff6e763531862a9a2b2df49dea3198902b48259600f05","observation_id":"4d7f5a7b-dd7f-4a00-abdc-6eaf9d4a7422","resolution":{"observed_at":"2026-08-06T16:41:07.259263Z","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":"2026-08-06T16:41:11.014284Z","title":"1987 Estimation of probabilities from sparse data for the language model component of a speech recognizer.IEEE Trans","venue":null,"work_id":"ac6f7a27-4359-4551-8288-bf94db78ac66","year":1987},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:07.390283Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:7dda728a8cfd0488cb1adb1270592da58d0087fd7d33b8aaedf523defaa9c8ef","observation_id":"4ad03b97-cf72-43a6-a8cd-84abd018ae2a","resolution":{"observed_at":"2026-08-06T16:41:11.084419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:41:07.519775Z","title":"2022 Unveiling the Universe with emerging cosmological probes.Living Reviews in Relativity25, 6","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:07.519775Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:6a4511099ffc731d5197f003a17e5b790d89fdc2fe059ae506bbb2b8e359fd67","observation_id":"f8211a84-3bb8-460f-a2b7-3f618b913503","resolution":{"observed_at":"2026-08-06T16:41:07.519775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.03863","last_updated":"2022-02-07T19:00:01Z","snapshot_observed_at":"2026-07-06T12:16:15.735863Z","submitted_at":"2021-12-07T17:57:21Z","title":"The Pantheon+ Analysis: The Full Dataset and Light-Curve Release","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.03863","snapshot_observed_at":"2026-08-06T16:41:07.647606Z","title":"2021 The Pantheon+ Analysis: The Full Dataset and Light-Curve Release","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:07.647606Z"},"links":{"cited_paper":"/paper/2112.03863","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:5b3c3744f065c553b50d0fed3d8cfe54d480aa34e34d500d8aadf99ca1eb70bc","observation_id":"5c930d52-a835-4227-a814-5be203f9e7a3","resolution":{"observed_at":"2026-08-06T16:41:07.647606Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:07.771119Z","title":"2023 On the functional form of the radial acceleration relation.MNRAS521, 1817–1831","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:07.771119Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:6a5185c9f882c61262170697e6aed3e3d18e5af63386ab5fcc029279f252d78d","observation_id":"b289bdc4-35fc-4d74-b6ca-46fddfd4c22d","resolution":{"observed_at":"2026-08-06T16:41:07.771119Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:07.996466Z","title":"1983a A modification of the Newtonian dynamics as a possible alternative to the hidden mass hypothesis.ApJ270, 365–370","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:07.996466Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:db5356e2436f181bee5568a39d4e7c4e434670be1f1db74c5b62a3212bdd4959","observation_id":"414412f7-7c3a-4eba-b4b3-3b55120d2a5c","resolution":{"observed_at":"2026-08-06T16:41:07.996466Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:08.123374Z","title":"1983b A Modification of the Newtonian Dynamics - Implications for Galaxy Systems.ApJ270, 384","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:08.123374Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:d4897c3fa7a617705a5fdb650b9f114984fdfcb0af2a130d3cb20bb523c7cf89","observation_id":"315d0001-00b2-4812-9eed-51158874e3ac","resolution":{"observed_at":"2026-08-06T16:41:08.123374Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:08.251081Z","title":"1983c A modification of the Newtonian dynamics - Implications for galaxies.ApJ 270, 371–389","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:08.251081Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:789e6e0a48e0f182504cf2c507e86c8eecf300c9a760f8a15fa10ebdf4ea0d54","observation_id":"1616e196-c4f7-429c-a8b6-25a7c94439e4","resolution":{"observed_at":"2026-08-06T16:41:08.251081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.21638","last_updated":"2025-05-27T18:10:34Z","snapshot_observed_at":"2026-08-07T13:23:46.998782Z","submitted_at":"2025-05-27T18:10:34Z","title":"Modified Newtonian Dynamics: Observational Successes and Failures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.21638","snapshot_observed_at":"2026-08-06T16:41:08.402189Z","title":"2025 Modified Newtonian Dynamics: Observational Successes and Failures","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:08.402189Z"},"links":{"cited_paper":"/paper/2505.21638","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:d2137b1b051801d45ad87d18ea5c8f507847d787c48921c9948faee2f4153c9d","observation_id":"cce5990f-fa10-45b4-8833-da7e3338399a","resolution":{"observed_at":"2026-08-06T16:41:08.402189Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:08.537129Z","title":"2017 One Law to Rule Them All: The Radial Acceleration Relation of Galaxies.ApJ836, 152","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:08.537129Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:8edebbabd41bd1bda1a4b6b109b217dda6d680066df83b79a03b14401cad7efb","observation_id":"678bdbe6-6e96-45de-a66d-62a053f6a07b","resolution":{"observed_at":"2026-08-06T16:41:08.537129Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:08.638268Z","title":"2023 The underlying radial acceleration relation.MNRAS526, 3342–3351","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:08.638268Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:eec898813924c68701828aaa14325ccf7b3568f6d116a02d875ec0407740e981","observation_id":"2f5f707f-f3c2-491f-ae15-1ff7d523840f","resolution":{"observed_at":"2026-08-06T16:41:08.638268Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:08.776926Z","title":"2023 On the fundamentality of the radial acceleration relation for late-type galaxy dynamics.MNRAS525, 6130–6145","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:08.776926Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:894a94a2b3d9ec9453a82f8ecdad927ed8f2e3866f18a8ebdee13acdceeeb367","observation_id":"5b87fd6b-81f9-433f-bf29-58f50110417e","resolution":{"observed_at":"2026-08-06T16:41:08.776926Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:08.930178Z","title":"2024 Radial acceleration relation of galaxies with joint kinematic and weak-lensing data.JCAP2024, 020","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:08.930178Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:d9aa152fe0d68a15ad319ae2c1f7fbfe284fab9e1cb53d8602e3df83f53dd18b","observation_id":"f1d38840-4367-431a-af04-dc77da16cdf1","resolution":{"observed_at":"2026-08-06T16:41:08.930178Z","resolver_source":null,"status":"malformed_identifier"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:09.102892Z","title":"2024 Optimal inflationary potentials.PRD109, 083524","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:09.102892Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:b473fddb64bec6eb342572f4c30596745013b69a5889d553f48ce8ad2fe808ad","observation_id":"fb879c1f-7587-42dc-91a4-0f9c0a5645f3","resolution":{"observed_at":"2026-08-06T16:41:09.102892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1303.3787","last_updated":"2024-12-17T13:19:00Z","snapshot_observed_at":"2026-08-06T10:59:44.434323Z","submitted_at":"2013-03-15T14:43:50Z","title":"Encyclopaedia Inflationaris","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1303.3787","snapshot_observed_at":"2026-08-06T16:41:09.278109Z","title":"2013 Encyclopaedia Inflationaris.arXiv e-printsp","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:09.278109Z"},"links":{"cited_paper":"/paper/1303.3787","citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:231de4164a71a52f334b0b017c429e304cd97bf2a39a9d136a64ef53f84e70e3","observation_id":"50eb6f3c-79ae-44f6-b1e2-d47bc9ffe4b1","resolution":{"observed_at":"2026-08-06T16:41:09.278109Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:09.410699Z","title":"2020 Planck 2018 results","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:09.410699Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:cf055f1b8b6a600e28541753e059dff3e198d93b8bf95ab4070942a9022d8e74","observation_id":"a149e527-4c7f-4443-ba99-cdb1f0122496","resolution":{"observed_at":"2026-08-06T16:41:09.410699Z","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":"10.1088/1475-7516/2023/04/062","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:10.083823Z","title":"2023 Updated constraints on amplitude and tilt of the tensor primordial spectrum.JCAP2023, 062","venue":null,"work_id":"942e1f6c-f022-43fa-b660-fc760a822aab","year":2023},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:09.603362Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:72e88015b812bb999d9f7c79523fbc76a334849662e3966c309a31d8aaa822ed","observation_id":"681de666-2757-42ab-8fc1-0f41c65a969c","resolution":{"observed_at":"2026-08-06T16:41:10.166877Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T16:41:09.777457Z","title":"2023 GECCO’2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:09.777457Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:f94e66db305938055654932a80ee6c3538a9ebc1e15d398fc65d0db1015f7c4d","observation_id":"4e915f29-6fea-4678-89b6-22f2f118ab8f","resolution":{"observed_at":"2026-08-06T16:41:09.777457Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:41:09.907897Z","title":"1976 An analytic expression for the luminosity function for galaxies..ApJ203, 297–306","venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:09.907897Z"},"links":{"citing_paper":"/paper/2507.13033"},"observation_digest":"sha256:62beee1aeac6c9b056fdf5c1c87f309ce49cab33fd4002c406707e38e455c5d0","observation_id":"a73f6ebc-30e5-44a0-af06-ab12d2f7825b","resolution":{"observed_at":"2026-08-06T16:41:09.907897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.13033","last_updated":"2025-07-17T12:04:15Z","latest_version":1,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-08-06T16:29:53.785046Z","submitted_at":"2025-07-17T12:04:15Z","title":"(Exhaustive) Symbolic Regression and model selection by minimum description length"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":1,"verified_fuzzy":7},"total_outbound_references":37},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 4 inbound Pith citation observations for arXiv:2507.13033."}