{"as_of":"2026-08-09T13:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d6159651fe6f9f0ef96be0a82782e9f7be50e08b1686d863f145b9785b299f7e","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:12:31.240640Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.19537/citation-record","integrity":"/paper/2506.19537/integrity","json":"/paper/2506.19537/citation-record.json","paper":"/paper/2506.19537"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:27.930209Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:27.930209Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:28cd6c64c03f18f2375cce546bcda6a09a672cabf5b495753b49022eea7f0fdd","observation_id":"0c376516-7fcf-43f8-9139-f0ced7687ff9","resolution":{"observed_at":"2026-08-06T23:12:27.930209Z","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":"2026-08-06T23:12:28.004536Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.004536Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:197d0d61e0eba61b2b31a10a9bc9c15ed951244d75aed356a6036337bb17d28f","observation_id":"133b97d0-708d-4fcc-8f3a-9375bc1499a0","resolution":{"observed_at":"2026-08-06T23:12:28.004536Z","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":"2026-08-06T23:12:35.565253Z","title":null,"venue":null,"work_id":"7e18ef37-4b5c-4f64-93f7-011ee783cab6","year":2021},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.092735Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:657bd796e27fd52f921eff8efee186fb9234112c83b3a21b2ec2b35e798453c7","observation_id":"64e7c6dc-d8ea-4a03-a30e-d74c9ef20df6","resolution":{"observed_at":"2026-08-06T23:12:35.614924Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:35.367139Z","title":"J.; Desmond, H.; and Ferreira, P","venue":null,"work_id":"8f955137-72c8-43f5-88ba-48f81974423e","year":2023},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.144923Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:da9e3f49fb2e48761d495c8aeaf6f44097cf5d54066ab5675e5fd33eff0e8f9a","observation_id":"1729b6c9-28cd-4b28-b57d-cb899b567d1b","resolution":{"observed_at":"2026-08-06T23:12:35.413460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:35.217759Z","title":null,"venue":null,"work_id":"0bff5a42-03ac-4a62-9118-078395c0274d","year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.241733Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:14ebf19101f1b5f2ed4763d042044d19e4e21d309f2de25514c71545c78d2e49","observation_id":"8d03af5d-9294-4e92-b203-9ddef2aef50e","resolution":{"observed_at":"2026-08-06T23:12:35.268389Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:35.132992Z","title":null,"venue":null,"work_id":"4a89cbb6-4012-4618-8e97-95ccd12488c1","year":2021},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.315441Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:c7bda3cc0566c03972b4a345f8c109e1fac508074d88b8ff45847f64de38f334","observation_id":"6716143d-c2b7-4e21-8cfd-29fd2cf29a31","resolution":{"observed_at":"2026-08-06T23:12:35.154463Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:35.035806Z","title":null,"venue":null,"work_id":"fed860de-607e-4a52-ba76-b70e471cdc80","year":2023},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.436665Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:c8a084b1808774c9fd18cbd986acb36de4cc0e3986e1768227af65430e0e8f0e","observation_id":"c1cd7e91-7eff-4a92-9038-81f20c263e36","resolution":{"observed_at":"2026-08-06T23:12:35.088786Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:34.944172Z","title":null,"venue":null,"work_id":"9a65de7a-5250-47db-bac1-f1908d0be103","year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.557873Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:cb6f195308702b087cc193c8b758d08d49546e0ddf2b375c0fe7241af9cadcc6","observation_id":"1984395a-1729-46c1-af14-7eff09b236dd","resolution":{"observed_at":"2026-08-06T23:12:34.967901Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:34.814719Z","title":"P.; Leighton, R","venue":null,"work_id":"ed871885-e6ed-40ea-86fe-e09dac6c85c8","year":2011},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:28.722612Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:df9472ff422ce8bec597fbcaac4deea7296b44c35f99d05fef186c95d5f660ea","observation_id":"2fd94a7d-8e00-46c1-ad18-5cf6875d3849","resolution":{"observed_at":"2026-08-06T23:12:34.875579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:34.572916Z","title":"A.; Miranda, M.; Pallarès, J.; and Sales-Pardo, M","venue":null,"work_id":"1cddda3d-bca1-4be1-a459-cb530945718d","year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:29.193079Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:d8adc1ee51225ffc4df9454db4cd2d77a49fefea70218212cd50f30c2117142f","observation_id":"33f2425b-f8f7-48a9-978c-2098902dcf4e","resolution":{"observed_at":"2026-08-06T23:12:34.780558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:34.309379Z","title":null,"venue":null,"work_id":"07718096-c6cc-4780-9ee8-af5e779bd861","year":1975},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:29.287523Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:90338a70cbd04996813a60917dfd165df8b3c5e9415b9e0173350b71de08bb3e","observation_id":"230f3857-d933-4757-8513-a217c358a480","resolution":{"observed_at":"2026-08-06T23:12:34.442985Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"1910.08892","last_updated":"2020-01-16T02:11:21Z","snapshot_observed_at":"2026-07-06T08:30:47.148345Z","submitted_at":"2019-10-20T04:28:50Z","title":"Bayesian Symbolic Regression","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.08892","snapshot_observed_at":"2026-08-06T23:12:29.415240Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:29.415240Z"},"links":{"cited_paper":"/paper/1910.08892","citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:cd582a2ec428e1d3c31ab313cd98a71d127c9ee0bc6a5c11f1d82cbac3c9b30e","observation_id":"f09b63df-ccb8-49eb-a860-2978ccf7507e","resolution":{"observed_at":"2026-08-06T23:12:29.415240Z","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":"2026-08-06T23:12:34.009693Z","title":null,"venue":null,"work_id":"a401c610-fa2b-4b0a-be1f-38a668664e6b","year":2024},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:29.532502Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:892e6613c2ad1f0c63eaaa612390baa5fc14811dac8ea0767eb58195e52b191b","observation_id":"c1024ae2-bc96-457c-9675-798bcaeb73a5","resolution":{"observed_at":"2026-08-06T23:12:34.126822Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:33.860056Z","title":null,"venue":null,"work_id":"b942f98d-6407-4658-9237-78769c5aab11","year":2022},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:29.672865Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:6b0f58fb54f95b3241767cafd7dfbe4d4fe670de7ea6cb65bb9a69a4dc315905","observation_id":"86b3fb7c-44de-4762-bc8e-93c6b5fcce6b","resolution":{"observed_at":"2026-08-06T23:12:33.936853Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:33.740575Z","title":"M.; Kommenda, M.; and Affenzeller, M","venue":null,"work_id":"345bcf1a-751d-481a-a9e5-439c6cc7ee68","year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:29.802810Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:1f456a59f40a07b7de2528937c590756a4460735d64be5dabd62dc83c0f36868","observation_id":"3f946fb7-6323-4dca-8063-77a1ebed9f3c","resolution":{"observed_at":"2026-08-06T23:12:33.804776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:33.588355Z","title":null,"venue":null,"work_id":"fde7bfcb-6b41-405c-93b2-0176cd7476b1","year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:29.890778Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:a0ca706e4bf03b37f650a1a08530ce7b97ea6945341b7fd3babb6346b5a2fe6b","observation_id":"c141883f-d634-4733-b71e-a81679efdcf4","resolution":{"observed_at":"2026-08-06T23:12:33.662931Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:33.392058Z","title":null,"venue":null,"work_id":"a96044ff-3876-41da-8082-96507ba68e03","year":1994},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.058984Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:ab12c2e141673b97f1878357183b2365b72a17117e48a0459374d44336575b70","observation_id":"0871ea6c-ae41-48f7-bc2f-5f9f5b6314b4","resolution":{"observed_at":"2026-08-06T23:12:33.477900Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:33.269264Z","title":null,"venue":null,"work_id":"bdfc49af-a6a8-431f-9762-3205d89d4b12","year":2021},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.183995Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:97c472c2a6b4ec0446d6a9f16bb8aa6c5ed383893c7b38a27929a5798ec238b5","observation_id":"6e2bfc2e-982a-4e86-b242-64ed88be4fc8","resolution":{"observed_at":"2026-08-06T23:12:33.333154Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:33.143967Z","title":null,"venue":null,"work_id":"0e12132d-c23e-448e-9c86-38528b21ba57","year":2016},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.312356Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:10316e7390c8a562748af0123f5c7ca5bc73b32caf29b5aecc9f1bdd75f9654b","observation_id":"684c6713-15d6-47d0-85f3-a86eaa9be7c8","resolution":{"observed_at":"2026-08-06T23:12:33.186931Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:32.983063Z","title":"P.; Paprocki, M.; C ert\\' i k, O.; Kirpichev, S","venue":null,"work_id":"28cf0702-ed65-433f-a75e-e47f36546121","year":2017},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.422565Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:21fcf42f3ebce226034d835f6cdb7934f80b8266757db56d133a9a7c7e9a847f","observation_id":"cb074038-06bc-47b0-8ac2-fc327f258e62","resolution":{"observed_at":"2026-08-06T23:12:33.059419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:32.840426Z","title":null,"venue":null,"work_id":"ebb55149-1f31-484f-b5b7-f7be64b7bcac","year":2021},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.554436Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:3b433669f58fd4d1564209e4f5b44f619f9fe78239bf4be9de118fbdf2c6b17a","observation_id":"c3da824c-a51e-4a1b-aa6d-5d9f98eded36","resolution":{"observed_at":"2026-08-06T23:12:32.878801Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:32.692728Z","title":null,"venue":null,"work_id":"69b09172-fb0a-4f5d-bda5-aa28dc7bfa27","year":1920},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.618887Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:d79abd3138f9d74480f928a00902ee4ba1200557f3bf2cd35233b134a1cd92ed","observation_id":"eb50ebbc-0fe0-4c56-a49d-06907580b9d0","resolution":{"observed_at":"2026-08-06T23:12:32.758695Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:32.492564Z","title":"K.; Larma, M","venue":null,"work_id":"71ec0b2f-87f4-4b8f-b13b-5e5918e9f071","year":2021},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.702153Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:c70adfc3c5760a12c593981f00ed80c0277b2ea69f28dea559ada6392460f9b9","observation_id":"fc4ab655-493d-4dda-9a5b-2bdf192e4adb","resolution":{"observed_at":"2026-08-06T23:12:32.581866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:32.337391Z","title":null,"venue":null,"work_id":"8c7f601c-76a5-449c-a8e7-a053097b7dfd","year":2009},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.771012Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:d675b81dee0f38628a692846f90be1b3f2004083789aea443a80abfbcaf2b941","observation_id":"0678b1e2-bb1f-4a4c-9bed-0a085e89eb38","resolution":{"observed_at":"2026-08-06T23:12:32.428854Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:32.185907Z","title":null,"venue":null,"work_id":"acb4533f-68f2-46d6-b5e7-28a1501919aa","year":1904},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.846966Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:6d6ccfc8b009f5cd4a5ea2478b07f23f3f728f2eb81fa0caa6cdbfce45fac163","observation_id":"ddee6d20-3045-4cba-a236-f8aa823f80f8","resolution":{"observed_at":"2026-08-06T23:12:32.252371Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:32.047191Z","title":null,"venue":null,"work_id":"c65e5db3-c682-484e-97e1-c519692303e3","year":2016},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:30.924672Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:a9eb7d578b9447eaf20b85a2ecfaaa9699b4da17c1bf590ed086c62b3fb2c807","observation_id":"dddfa7aa-bcda-46b0-b00a-8f395cfdbab5","resolution":{"observed_at":"2026-08-06T23:12:32.111993Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:31.898250Z","title":null,"venue":null,"work_id":"612f8978-f6fa-4810-9399-f9043e35304e","year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:31.003925Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:9be97f40ef926bacb6cd5ec8f2686763a251fdce440e740a8842af97263b1187","observation_id":"7ae605c6-f2d0-4c43-b60b-8e01ab11a208","resolution":{"observed_at":"2026-08-06T23:12:31.958642Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:31.663261Z","title":null,"venue":null,"work_id":"f33471f5-36b7-4984-a7cc-1abad4501685","year":2020},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:31.105774Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:659dd8e323e32b5eb3b98a9d348b53765d760ab2f91b7230c60e55f5d2c19d40","observation_id":"76936b88-4a56-4d44-808f-c29ebc0023ea","resolution":{"observed_at":"2026-08-06T23:12:31.776659Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:12:31.446857Z","title":null,"venue":null,"work_id":"c22435b8-3167-44f1-806a-aad79e89f0c4","year":2021},"citing_paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T23:12:31.240640Z"},"links":{"citing_paper":"/paper/2506.19537"},"observation_digest":"sha256:c26ac8776afb946841fe29bebd1cadf630bd53aa74da9400202ac4616e7cd956","observation_id":"18fea3fc-687b-46ef-9994-d8bfd2a27c34","resolution":{"observed_at":"2026-08-06T23:12:31.571668Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}}],"paper":{"arxiv_id":"2506.19537","last_updated":"2025-06-24T11:46:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T23:04:11.225163Z","submitted_at":"2025-06-24T11:46:05Z","title":"Dimension Reduction for Symbolic Regression"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":29},"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 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.19537."}