{"as_of":"2026-08-06T11:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c09377fcc3023228b073d2be0be06412541ffba252aa8fd10d5a4fbc80be4aa4","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:00:33.859888Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T05:55:52.178306Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-25T05:56:40.207440Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"cited_work":{"arxiv_id":"2508.19157","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.19157","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d5e2f88a-67f2-41f3-9aea-e0a0dada65d6","year":null},"citing_paper":{"arxiv_id":"2605.22862","last_updated":"2026-05-19T18:39:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-19T18:39:03Z","title":"Constraining Black Hole Parameters in Non-Commutative Geometry using Machine Learning","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-25T05:55:52.178306Z"},"links":{"cited_paper":"/paper/2508.19157","citing_paper":"/paper/2605.22862"},"observation_digest":"sha256:b092a2e51f22978a500fd586be60457e108b4dd153ec71653df4896577cee7af","observation_id":"d4d5ccb0-6851-41e3-a778-8b228184c646","resolution":{"observed_at":"2026-05-25T05:56:40.210290Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.19157/citation-record","integrity":"/paper/2508.19157/integrity","json":"/paper/2508.19157/citation-record.json","paper":"/paper/2508.19157"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:00:36.095882Z","title":"Vacuum configurations for superstrings,","venue":null,"work_id":"9efea193-be29-4b02-aa68-3ca0d96ace7f","year":1985},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.449068Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:c1b98fd7c09a0631976599f6adff2b844228e8274eac85798e32c23a67d3d9be","observation_id":"882dfa02-3c98-42ec-8990-6777cbecf577","resolution":{"observed_at":"2026-08-05T16:00:36.102842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"hep-th/0509003","last_updated":"2005-12-15T11:05:43Z","snapshot_observed_at":"2026-07-07T04:55:06.738470Z","submitted_at":"2005-09-01T13:52:57Z","title":"Flux compactifications in string theory: a comprehensive review","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"hep-th/0509003","snapshot_observed_at":"2026-08-05T16:00:33.456593Z","title":"Flux compactifications in string theory: A Comprehensive review,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.456593Z"},"links":{"cited_paper":"/paper/hep-th/0509003","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:829de4a1ce25f6100abf8026d45457fef12e4056cbc077774e7110d2e6af0c59","observation_id":"a268d8ba-6c8e-46a2-8f8f-6e9121bf510e","resolution":{"observed_at":"2026-08-05T16:00:33.456593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"hep-th/0610102","last_updated":"2007-01-12T15:07:17Z","snapshot_observed_at":"2026-07-07T04:58:44.271548Z","submitted_at":"2006-10-09T18:53:46Z","title":"Flux Compactification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"hep-th/0610102","snapshot_observed_at":"2026-08-05T16:00:33.464576Z","title":"Flux compactification,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.464576Z"},"links":{"cited_paper":"/paper/hep-th/0610102","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:c823eaebfda67ac823c3564aed102b2e7c4b6fcb8f2ba2b9961ed14e536b54d2","observation_id":"687e9218-73c5-462b-83cc-b5a426dfecd7","resolution":{"observed_at":"2026-08-05T16:00:33.464576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1307.1139","last_updated":"2013-11-26T03:02:54Z","snapshot_observed_at":"2026-07-06T03:17:23.480988Z","submitted_at":"2013-07-03T20:08:47Z","title":"On Classifying the Divisor Involutions in Calabi-Yau Threefolds","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1307.1139","snapshot_observed_at":"2026-08-05T16:00:33.476934Z","title":"On Classifying the Divisor Involutions in Calabi-Yau Threefolds,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.476934Z"},"links":{"cited_paper":"/paper/1307.1139","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:d0c65de489e4e8921ae0a82506545c71778bcd5eda6d888a256c660e45e1c391","observation_id":"2b94ee8a-0830-4b87-8c98-e787234a0c20","resolution":{"observed_at":"2026-08-05T16:00:33.476934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.03078","last_updated":"2022-03-15T08:02:45Z","snapshot_observed_at":"2026-08-06T10:59:09.603664Z","submitted_at":"2021-11-04T18:00:04Z","title":"Orientifold Calabi-Yau Threefolds with Divisor Involutions and String Landscape","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.03078","snapshot_observed_at":"2026-08-05T16:00:33.485465Z","title":"Orientifold Calabi-Yau threefolds with divisor involutions and string landscape,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.485465Z"},"links":{"cited_paper":"/paper/2111.03078","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:198c19026db2747aef0376067dae6719122b994f22c27876048513f08697d1be","observation_id":"e1fbe60a-e494-47c3-b038-2eaf01ad5d68","resolution":{"observed_at":"2026-08-05T16:00:33.485465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"hep-th/0002240","last_updated":"2000-02-28T16:25:24Z","snapshot_observed_at":"2026-07-07T04:35:58.689626Z","submitted_at":"2000-02-28T16:25:24Z","title":"Complete classification of reflexive polyhedra in four dimensions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"hep-th/0002240","snapshot_observed_at":"2026-08-05T16:00:33.491717Z","title":"Complete classification of reflexive polyhedra in four-dimensions,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.491717Z"},"links":{"cited_paper":"/paper/hep-th/0002240","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:f037ff155eb573e61952ca206240c07c1f6bfc7f2d689d1b1550b9d4f5a38681","observation_id":"a2f31136-f6fc-48db-881e-da25ea4c028b","resolution":{"observed_at":"2026-08-05T16:00:33.491717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1418","last_updated":"2014-11-05T21:04:04Z","snapshot_observed_at":"2026-07-06T03:59:43.125083Z","submitted_at":"2014-11-05T21:04:04Z","title":"A Calabi-Yau Database: Threefolds Constructed from the Kreuzer-Skarke List","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.1418","snapshot_observed_at":"2026-08-05T16:00:33.499409Z","title":"A Calabi-Yau Database: Threefolds Constructed from the Kreuzer-Skarke List,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.499409Z"},"links":{"cited_paper":"/paper/1411.1418","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:239acf5585891f1073afad1411d6accf785983168b4f1669421510218c9b98c1","observation_id":"ca49e175-648c-4d41-af27-a4ef3af81891","resolution":{"observed_at":"2026-08-05T16:00:33.499409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13115","last_updated":"2022-04-27T18:00:00Z","snapshot_observed_at":"2026-07-06T13:04:27.256772Z","submitted_at":"2022-04-27T18:00:00Z","title":"A Database of Calabi-Yau Orientifolds and the Size of D3-Tadpoles","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.13115","snapshot_observed_at":"2026-08-05T16:00:33.508304Z","title":"A database of Calabi-Yau orientifolds and the size of D3-tadpoles,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.508304Z"},"links":{"cited_paper":"/paper/2204.13115","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:e68f1bc5a56b7f50b87b7c74a80539afda39b63a98040775d85c9601c47284f2","observation_id":"0fd98c9b-4e1e-4b43-975e-7f8e323c4308","resolution":{"observed_at":"2026-08-05T16:00:33.508304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02565","last_updated":"2024-07-02T18:00:02Z","snapshot_observed_at":"2026-08-06T09:36:40.799792Z","submitted_at":"2024-07-02T18:00:02Z","title":"Orientifold Calabi-Yau Threefolds: Divisor Exchanges and Multi-Reflections","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02565","snapshot_observed_at":"2026-08-05T16:00:33.516269Z","title":"Orientifold Calabi-Yau threefolds: divisor exchanges and multi-reflections,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.516269Z"},"links":{"cited_paper":"/paper/2407.02565","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:b344ac03850176df7bf885d7bd5079a614e2ffa272bdb4ed8dcf512dedb7cb11","observation_id":"8662b535-ee99-4653-b105-fc451e798ac8","resolution":{"observed_at":"2026-08-05T16:00:33.516269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.07812","last_updated":"2017-10-12T11:32:26Z","snapshot_observed_at":"2026-08-02T00:17:40.317450Z","submitted_at":"2017-04-25T17:42:01Z","title":"Discrete Symmetries of Calabi-Yau Hypersurfaces in Toric Four-Folds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.07812","snapshot_observed_at":"2026-08-05T16:00:33.522584Z","title":"Discrete Symmetries of Calabi–Yau Hypersurfaces in Toric Four-Folds,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.522584Z"},"links":{"cited_paper":"/paper/1704.07812","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:6d4220fd1bf32dd1e5dcc9ac13071c90fc7a87b761c80ce62868b534754ef4f7","observation_id":"a8a63f94-e901-4f73-8fb0-f62a38668fcc","resolution":{"observed_at":"2026-08-05T16:00:33.522584Z","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":"2026-08-05T16:00:36.068100Z","title":"Complete Intersection Calabi-Yau Manifolds,","venue":null,"work_id":"6a92d69d-4fa0-42a6-9f2e-66999c1cdd54","year":1988},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.528957Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:691cf4db4163f1b3d28b94df286e7efa54bde3b444d9c8016dd93e484d471f17","observation_id":"90290780-02c4-4b5a-8d47-fcf56fcd7785","resolution":{"observed_at":"2026-08-05T16:00:36.077219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1003.3235","last_updated":"2010-03-16T20:03:28Z","snapshot_observed_at":"2026-07-06T02:05:47.468722Z","submitted_at":"2010-03-16T20:03:28Z","title":"On Free Quotients of Complete Intersection Calabi-Yau Manifolds","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1003.3235","snapshot_observed_at":"2026-08-05T16:00:33.534604Z","title":"On Free Quotients of Complete Intersection Calabi-Yau Manifolds,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.534604Z"},"links":{"cited_paper":"/paper/1003.3235","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:1da7ab37e12219196eb4a85dfd80ec97c498c66920a0cd0d2d1689477b61ff62","observation_id":"9428635f-7ea4-4c84-8476-48af65e398e2","resolution":{"observed_at":"2026-08-05T16:00:33.534604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.12683","last_updated":"2021-12-23T16:25:10Z","snapshot_observed_at":"2026-07-06T12:22:03.685650Z","submitted_at":"2021-12-23T16:25:10Z","title":"Free Quotients of Favorable Calabi-Yau Manifolds","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.12683","snapshot_observed_at":"2026-08-05T16:00:33.539929Z","title":"Free quotients of favorable Calabi-Yau manifolds,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.539929Z"},"links":{"cited_paper":"/paper/2112.12683","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:c0a8b3aacd829df3710463840659784cad888ce62803edea6fe0bff91d9d7738","observation_id":"a2970c29-ce33-495d-9786-fe12e6307530","resolution":{"observed_at":"2026-08-05T16:00:33.539929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07907","last_updated":"2017-08-25T22:40:22Z","snapshot_observed_at":"2026-08-03T16:16:00.781334Z","submitted_at":"2017-08-25T22:40:22Z","title":"Fibrations in CICY Threefolds","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07907","snapshot_observed_at":"2026-08-05T16:00:33.546317Z","title":"Fibrations in CICY Threefolds,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.546317Z"},"links":{"cited_paper":"/paper/1708.07907","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:3926a9f9db5149b63fa6a46b91a07c4176e2b2c7bc69e95387c5a1b86bc95b20","observation_id":"3db4f79c-efcb-44f3-bd6d-f101309e05ad","resolution":{"observed_at":"2026-08-05T16:00:33.546317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.01103","last_updated":"2015-11-03T21:00:08Z","snapshot_observed_at":"2026-08-02T11:43:05.219395Z","submitted_at":"2015-11-03T21:00:08Z","title":"Hodge Numbers for CICYs with Symmetries of Order Divisible by 4","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.01103","snapshot_observed_at":"2026-08-05T16:00:33.553698Z","title":"Hodge Numbers for CICYs with Symmetries of Order Divisible by 4,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.553698Z"},"links":{"cited_paper":"/paper/1511.01103","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:8b6ccee0ca2b21787f947f3a7e22978ee3524b11fceef7c41505c8f3da2ddbce","observation_id":"042c6d89-d1e1-43e7-8257-6c2a5fb83c01","resolution":{"observed_at":"2026-08-05T16:00:33.553698Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1607.01830","last_updated":"2016-07-06T22:22:09Z","snapshot_observed_at":"2026-08-02T11:44:26.717812Z","submitted_at":"2016-07-06T22:22:09Z","title":"Hodge Numbers for All CICY Quotients","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.01830","snapshot_observed_at":"2026-08-05T16:00:33.561822Z","title":"Hodge Numbers for All CICY Quotients,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.561822Z"},"links":{"cited_paper":"/paper/1607.01830","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:42e8649459c93102f8449f77019943d0b692a0b897fbcdb9877c09046f1e45cd","observation_id":"f9a84444-5b6a-4525-9e7a-15c5ea142bca","resolution":{"observed_at":"2026-08-05T16:00:33.561822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04902","last_updated":"2020-04-04T18:14:44Z","snapshot_observed_at":"2026-08-02T17:35:06.368681Z","submitted_at":"2020-03-10T18:00:02Z","title":"A landscape of orientifold vacua","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.04902","snapshot_observed_at":"2026-08-05T16:00:33.568143Z","title":"A landscape of orientifold vacua,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.568143Z"},"links":{"cited_paper":"/paper/2003.04902","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:caec7c2fcd34487dead221e73b901263488994d8e702bfaab001d5ac692e4415","observation_id":"d46b295b-d6e6-46e8-9d61-fbc23ddc1861","resolution":{"observed_at":"2026-08-05T16:00:33.568143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.04950","last_updated":"2022-02-28T14:52:24Z","snapshot_observed_at":"2026-07-06T12:16:59.774835Z","submitted_at":"2021-12-09T14:27:12Z","title":"Applying machine learning to the Calabi-Yau orientifolds with string vacua","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.04950","snapshot_observed_at":"2026-08-05T16:00:33.574074Z","title":"Applying machine learning to the Calabi-Yau orientifolds with string vacua,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.574074Z"},"links":{"cited_paper":"/paper/2112.04950","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:222c97e7dcbfd61ea9b3821a5f66f00fc00b727a240e292895d52f9a58152b9f","observation_id":"8cca61fe-4073-4791-ad91-cf83471913d2","resolution":{"observed_at":"2026-08-05T16:00:33.574074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.06490","last_updated":"2018-11-15T17:35:59Z","snapshot_observed_at":"2026-07-06T07:14:59.618336Z","submitted_at":"2018-11-15T17:35:59Z","title":"Estimating Calabi-Yau Hypersurface and Triangulation Counts with Equation Learners","version":1},"cited_work":{"arxiv_id":"1811.06490","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.06490","snapshot_observed_at":"2026-08-05T16:00:35.340994Z","title":"Estimating Calabi-Yau Hypersurface and Triangulation Counts with Equation Learners","venue":"hep-th","work_id":"3d4f4e69-bbb8-494a-a608-6a43585eb7de","year":2018},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.580802Z"},"links":{"cited_paper":"/paper/1811.06490","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:df3319fb18ef68343ef7fa003f59212d69e844317fb542216c2574c42f67032a","observation_id":"cc6e9d5a-06cb-46d4-b1bb-1ca5c4d69c6b","resolution":{"observed_at":"2026-08-05T16:00:35.346614Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.01730","last_updated":"2020-08-04T18:00:00Z","snapshot_observed_at":"2026-07-06T09:44:33.063603Z","submitted_at":"2020-08-04T18:00:00Z","title":"Bounding the Kreuzer-Skarke Landscape","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.01730","snapshot_observed_at":"2026-08-05T16:00:33.589564Z","title":"Bounding the Kreuzer-Skarke Landscape,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.589564Z"},"links":{"cited_paper":"/paper/2008.01730","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:7fca747b66dcbb501779c9cf740664a5357177bdb59e151fa3c7d8081a451c10","observation_id":"168b1ae5-1cd6-4ff3-ac66-9b74386f1295","resolution":{"observed_at":"2026-08-05T16:00:33.589564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.09602","last_updated":"2021-09-15T23:02:25Z","snapshot_observed_at":"2026-08-05T03:12:37.681992Z","submitted_at":"2021-09-15T23:02:25Z","title":"Polytopes and Machine Learning","version":1},"cited_work":{"arxiv_id":"2109.09602","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.09602","snapshot_observed_at":"2026-08-05T16:00:35.272484Z","title":"Polytopes and Machine Learning","venue":"math.CO","work_id":"c882e0f1-b855-40f0-92e4-bf239241f377","year":2021},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.598355Z"},"links":{"cited_paper":"/paper/2109.09602","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:547c83c71970689c47d8fcbd646b8bbda8d38a96abb8361f17b4e735aae3f84f","observation_id":"c750e494-87fb-4bb5-ad6f-52bb7c6c171b","resolution":{"observed_at":"2026-08-05T16:00:35.282773Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06350","last_updated":"2022-01-19T14:26:12Z","snapshot_observed_at":"2026-07-06T12:17:52.708042Z","submitted_at":"2021-12-12T23:17:31Z","title":"Machine Learning Calabi-Yau Hypersurfaces","version":2},"cited_work":{"arxiv_id":"2112.06350","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.06350","snapshot_observed_at":"2026-08-05T16:00:35.233566Z","title":"Machine Learning Calabi-Yau Hypersurfaces","venue":"hep-th","work_id":"1c4ad870-1446-4d5d-aa0a-06174bab8fc1","year":2021},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.605845Z"},"links":{"cited_paper":"/paper/2112.06350","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:4326c3598f9af1d40a5daa2e5a9d038d2f0a6f6d23318fc0cdf9cd5464cc5a58","observation_id":"e9d1d017-265f-4ecc-8560-1e656e3aeadd","resolution":{"observed_at":"2026-08-05T16:00:35.239839Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.21017","last_updated":"2024-06-14T17:09:35Z","snapshot_observed_at":"2026-07-06T18:23:23.565502Z","submitted_at":"2024-05-31T17:06:14Z","title":"Generating Triangulations and Fibrations with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.21017","snapshot_observed_at":"2026-08-05T16:00:33.612244Z","title":"Generating triangulations and fibrations with reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.612244Z"},"links":{"cited_paper":"/paper/2405.21017","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:9a7c12fc9396ca9a29285c27134e5a67abf898db507f91dab36edcc0c7a23234","observation_id":"36b555f1-a081-4f54-81b1-f966a2faf2fd","resolution":{"observed_at":"2026-08-05T16:00:33.612244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.03121","last_updated":"2018-07-31T11:58:24Z","snapshot_observed_at":"2026-07-06T06:43:44.603548Z","submitted_at":"2018-06-08T12:40:04Z","title":"Machine Learning CICY Threefolds","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.03121","snapshot_observed_at":"2026-08-05T16:00:33.617894Z","title":"Machine Learning CICY Threefolds,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.617894Z"},"links":{"cited_paper":"/paper/1806.03121","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:adfe31f07a3147f61eb84edc81b9bb8899a43664eff04044e54fff264bd9f7d8","observation_id":"7ed367eb-0d71-4f83-b4b0-5a519bb80de0","resolution":{"observed_at":"2026-08-05T16:00:33.617894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.02893","last_updated":"2020-12-20T18:47:49Z","snapshot_observed_at":"2026-07-06T07:19:45.696706Z","submitted_at":"2018-12-07T03:45:27Z","title":"The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.02893","snapshot_observed_at":"2026-08-05T16:00:33.628507Z","title":"He, The Calabi–Yau Landscape: From Geometry, to Physics, to Machine Learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.628507Z"},"links":{"cited_paper":"/paper/1812.02893","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:87f96add23972a1e64ddc70f8ae342e849e49e4e6fffa5139352fd61fc6a2e8d","observation_id":"669b03ef-8098-487b-a2d7-e72131674e4e","resolution":{"observed_at":"2026-08-05T16:00:33.628507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.02544","last_updated":"2020-09-14T11:11:55Z","snapshot_observed_at":"2026-07-06T09:53:08.589818Z","submitted_at":"2020-09-05T14:54:25Z","title":"Machine Learning Calabi-Yau Four-folds","version":2},"cited_work":{"arxiv_id":"2009.02544","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.02544","snapshot_observed_at":"2026-08-05T16:00:35.041999Z","title":"Machine Learning Calabi-Yau Four-folds","venue":"hep-th","work_id":"36b32bef-1361-4567-97d8-1de9a296050e","year":2020},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.634801Z"},"links":{"cited_paper":"/paper/2009.02544","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:333a0f69f7a8143be02c9af6bca2e6211edd214972cbdd3b7714086b97b3c860","observation_id":"15e91807-97d9-4163-9ae7-005f2b5ffe42","resolution":{"observed_at":"2026-08-05T16:00:35.058700Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.15706","last_updated":"2021-06-17T06:51:04Z","snapshot_observed_at":"2026-07-06T09:43:17.065349Z","submitted_at":"2020-07-30T19:43:49Z","title":"Machine learning for complete intersection Calabi-Yau manifolds: a methodological study","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.15706","snapshot_observed_at":"2026-08-05T16:00:33.641659Z","title":"Machine learning for complete intersection Calabi-Yau manifolds: a methodological study,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.641659Z"},"links":{"cited_paper":"/paper/2007.15706","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:be74721d140545e08aedad46723b70ae4718b18546edc3de6d470fe135c8e226","observation_id":"b91b02d7-68bb-4fed-9c30-0b3b3822ef58","resolution":{"observed_at":"2026-08-05T16:00:33.641659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11710","last_updated":"2024-12-02T15:44:50Z","snapshot_observed_at":"2026-08-06T11:06:29.560583Z","submitted_at":"2024-04-17T19:31:57Z","title":"Machine learning complete intersection Calabi-Yau 3-folds","version":2},"cited_work":{"arxiv_id":"2404.11710","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.11710","snapshot_observed_at":"2026-08-05T16:00:34.967636Z","title":"Machine learning complete intersection Calabi-Yau 3-folds","venue":"hep-th","work_id":"53e499da-2ed9-4b35-9835-617019e22a14","year":2024},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.650564Z"},"links":{"cited_paper":"/paper/2404.11710","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:06fdeaeafacf1b02e669db5704f5212207f511cc145bb4f513c4ec86c9086b21","observation_id":"7aa94854-17b9-4d41-ac64-151b4eaeed24","resolution":{"observed_at":"2026-08-05T16:00:34.976367Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2408.05076","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:00:34.909656Z","title":"Distinguishing Calabi-Yau Topology using Machine Learning,","venue":null,"work_id":"1a97990b-6ea0-4c7d-a981-817e66ce1d81","year":null},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.658148Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:0df76c3b022a65259c43a637e05244fc81244f01e82d23354439dc3b80ff7ae4","observation_id":"2f6b5735-49eb-4df0-99c2-24a9692d3038","resolution":{"observed_at":"2026-08-05T16:00:34.922965Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04656","last_updated":"2021-05-19T10:50:28Z","snapshot_observed_at":"2026-07-06T10:21:55.612402Z","submitted_at":"2020-12-08T19:00:01Z","title":"Moduli-dependent Calabi-Yau and SU(3)-structure metrics from Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04656","snapshot_observed_at":"2026-08-05T16:00:33.663296Z","title":"Moduli-dependent Calabi-Yau and SU(3)-structure metrics from Machine Learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.663296Z"},"links":{"cited_paper":"/paper/2012.04656","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:0dc4603b9a6c8e2204ee5800f655280a44af8903c1952095f8f93a385fdc0b02","observation_id":"2a211e83-d8be-43a2-87b3-b74bcdffb42f","resolution":{"observed_at":"2026-08-05T16:00:33.663296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.15821","last_updated":"2021-01-27T18:57:02Z","snapshot_observed_at":"2026-07-06T10:29:11.807491Z","submitted_at":"2020-12-31T18:47:51Z","title":"Neural Network Approximations for Calabi-Yau Metrics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.15821","snapshot_observed_at":"2026-08-05T16:00:33.670473Z","title":"Neural network approximations for Calabi-Yau metrics,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.670473Z"},"links":{"cited_paper":"/paper/2012.15821","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:81af3e923e4b78576f755143e3e9b3404ffd15ff251c98e0441599500df87e0f","observation_id":"a7743d7a-604f-4484-9374-1b909f35b5d8","resolution":{"observed_at":"2026-08-05T16:00:33.670473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04797","last_updated":"2021-05-05T17:13:41Z","snapshot_observed_at":"2026-07-06T10:22:02.290224Z","submitted_at":"2020-12-09T00:15:56Z","title":"Numerical Calabi-Yau metrics from holomorphic networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04797","snapshot_observed_at":"2026-08-05T16:00:33.677849Z","title":"Numerical Calabi-Yau metrics from holomorphic networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.677849Z"},"links":{"cited_paper":"/paper/2012.04797","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:441324e414bee2db76b7605c63ca1b1d2ad229f98eba9568d3355d3504cf09d6","observation_id":"b39d9f6f-0837-4afe-a739-121e1f87372c","resolution":{"observed_at":"2026-08-05T16:00:33.677849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.01436","last_updated":"2021-11-02T08:48:53Z","snapshot_observed_at":"2026-07-06T12:04:32.207212Z","submitted_at":"2021-11-02T08:48:53Z","title":"Learning Size and Shape of Calabi-Yau Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.01436","snapshot_observed_at":"2026-08-05T16:00:33.683873Z","title":"Learning Size and Shape of Calabi-Yau Spaces,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.683873Z"},"links":{"cited_paper":"/paper/2111.01436","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:2345368883f290c6ac6907c04ff4c9e84b4e1959722f1f3a328150759bc10b6e","observation_id":"752d3a6b-3b04-4ce9-b3e9-11e3bd543924","resolution":{"observed_at":"2026-08-05T16:00:33.683873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09801","last_updated":"2023-06-06T15:06:15Z","snapshot_observed_at":"2026-07-06T14:19:59.628326Z","submitted_at":"2022-11-17T18:59:03Z","title":"Machine Learned Calabi-Yau Metrics and Curvature","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09801","snapshot_observed_at":"2026-08-05T16:00:33.690603Z","title":"Machine-learned Calabi–Yau metrics and curvature,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.690603Z"},"links":{"cited_paper":"/paper/2211.09801","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:3a855a85b1a9d14202acee0cf417f6dd10d28bb9ba21614f9c132782e630cbc2","observation_id":"6e85c712-5006-44c4-91e3-7997289fb00e","resolution":{"observed_at":"2026-08-05T16:00:33.690603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02547","last_updated":"2018-12-06T18:48:06Z","snapshot_observed_at":"2026-07-06T06:59:49.678098Z","submitted_at":"2018-09-07T15:46:43Z","title":"Machine Learning Line Bundle Cohomologies of Hypersurfaces in Toric Varieties","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02547","snapshot_observed_at":"2026-08-05T16:00:33.697429Z","title":"Machine Learning Line Bundle Cohomologies of Hypersurfaces in Toric Varieties,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.697429Z"},"links":{"cited_paper":"/paper/1809.02547","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:05dd92f7326e3c7d92a13eb5a46474269943dd3834206084cd67aa4b66d81e53","observation_id":"e7edd622-6645-456f-a073-64b66ddc6f96","resolution":{"observed_at":"2026-08-05T16:00:33.697429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.08730","last_updated":"2019-06-20T16:21:56Z","snapshot_observed_at":"2026-08-04T20:31:22.156110Z","submitted_at":"2019-06-20T16:21:56Z","title":"Machine Learning Line Bundle Cohomology","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.08730","snapshot_observed_at":"2026-08-05T16:00:33.704434Z","title":"Machine Learning Line Bundle Cohomology,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.704434Z"},"links":{"cited_paper":"/paper/1906.08730","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:3ced7795a647f41fdda7521bd57ebe1acbf04e27c1511fdda3e343b331a242a7","observation_id":"63ecb044-ba15-4017-8cc7-af1c4e105531","resolution":{"observed_at":"2026-08-05T16:00:33.704434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1507.03235","last_updated":"2015-07-12T14:50:16Z","snapshot_observed_at":"2026-08-05T14:24:39.305395Z","submitted_at":"2015-07-12T14:50:16Z","title":"A New Construction of Calabi-Yau Manifolds: Generalized CICYs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1507.03235","snapshot_observed_at":"2026-08-05T16:00:33.715010Z","title":"A new construction of Calabi–Yau manifolds: Generalized CICYs,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.715010Z"},"links":{"cited_paper":"/paper/1507.03235","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:76dd0eae70c84dfb46a47000f528539987edbe383236a71560110c38bb8a1b6f","observation_id":"9d557090-963f-47cc-a7ae-43f681135b24","resolution":{"observed_at":"2026-08-05T16:00:33.715010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10157","last_updated":"2022-09-21T07:30:07Z","snapshot_observed_at":"2026-07-06T13:54:37.192239Z","submitted_at":"2022-09-21T07:30:07Z","title":"Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds","version":1},"cited_work":{"arxiv_id":"2209.10157","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.10157","snapshot_observed_at":"2026-08-05T16:00:34.494945Z","title":"Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds","venue":"hep-th","work_id":"f24b53dd-932e-4734-bb2b-ac450798d9ea","year":2022},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.722869Z"},"links":{"cited_paper":"/paper/2209.10157","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:f763e9c88dab623337ef001b56e865248241e13911bc32477da71ca23771a7bd","observation_id":"2b1d1330-1f8b-41f2-b74f-46df223fbf06","resolution":{"observed_at":"2026-08-05T16:00:34.507349Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03064","last_updated":"2024-02-23T11:08:39Z","snapshot_observed_at":"2026-07-06T16:27:51.438846Z","submitted_at":"2023-10-04T18:00:00Z","title":"Machine learning Sasakian and $G_2$ topology on contact Calabi-Yau $7$-manifolds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03064","snapshot_observed_at":"2026-08-05T16:00:33.730644Z","title":"Machine learning Sasakian and G2 topology on contact Calabi-Yau 7-manifolds,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.730644Z"},"links":{"cited_paper":"/paper/2310.03064","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:9d082e40f28cf1a2d270ea7d20a05b27f0bf7541baac7894675ac7272f224d90","observation_id":"c895ed91-a27b-4214-90c1-6dcea5a401a6","resolution":{"observed_at":"2026-08-05T16:00:33.730644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15966","last_updated":"2024-01-09T19:00:00Z","snapshot_observed_at":"2026-07-06T16:37:54.347934Z","submitted_at":"2023-10-24T16:07:08Z","title":"Constructing and Machine Learning Calabi-Yau Five-folds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15966","snapshot_observed_at":"2026-08-05T16:00:33.737008Z","title":"Constructing and Machine Learning Calabi-Yau Five-Folds,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.737008Z"},"links":{"cited_paper":"/paper/2310.15966","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:81ff86514affea97947eee1d9714ae6837d3d884ce3489d5ab6bbde8b06c10a6","observation_id":"0e3f8905-59d7-410b-b678-fc619a70860b","resolution":{"observed_at":"2026-08-05T16:00:33.737008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17146","last_updated":"2024-05-07T14:04:30Z","snapshot_observed_at":"2026-07-06T16:54:02.725142Z","submitted_at":"2023-11-28T19:00:00Z","title":"Calabi-Yau Four/Five/Six-folds as $\\mathbb{P}^n_\\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation","version":2},"cited_work":{"arxiv_id":"2311.17146","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.17146","snapshot_observed_at":"2026-08-05T16:00:34.393945Z","title":"Calabi-Yau Four/Five/Six-folds as $\\mathbb{P}^n_\\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation","venue":"hep-th","work_id":"989d2c79-de01-46c2-a792-db6854e79b05","year":2023},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.745421Z"},"links":{"cited_paper":"/paper/2311.17146","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:46a8676d731a26dc38c2817d429bbf575b74c39576c2bd6a7ca9a85db8028661","observation_id":"1272bb35-1fef-4048-9ad3-69af77efb401","resolution":{"observed_at":"2026-08-05T16:00:34.403880Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.00139","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:00:34.347065Z","title":"Machine Learning Calabi-Yau Three-Folds, Four-Folds, and Five-Folds,","venue":null,"work_id":"7971395c-e34c-4afd-b63a-4580a42148d4","year":null},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.754565Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:6dad78567c01b46eb333b6be842d7e0fbc14c30a75e86cf1422becfd44c9a3f0","observation_id":"2dd1aa1b-705a-401f-b723-489a9a72134c","resolution":{"observed_at":"2026-08-05T16:00:34.357672Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-05T16:00:33.763548Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.763548Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:1261e340ccacd2fcbc5a1ef791e93338e64ab06d8eb73257929efbe161142453","observation_id":"46978773-26c6-4e6e-a3b5-750dd89e6ada","resolution":{"observed_at":"2026-08-05T16:00:33.763548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-05T16:00:33.776047Z","title":"Gemini: A family of highly capable multimodal models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.776047Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:09aa8cd7039a40cc7264053b5169e35aaa1f37fb1af2c8bd80e4f9b025095359","observation_id":"d85782d1-063a-43e2-9434-a2cee1399bcd","resolution":{"observed_at":"2026-08-05T16:00:33.776047Z","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":"2026-08-05T16:00:36.040668Z","title":"Team, “Gemini,” 2025","venue":null,"work_id":"9e2cf253-c779-4a33-9a4b-4da247ed6199","year":2025},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.788200Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:e13402d750ca77f38b6f152280a5f1fbe062d15a48cb8b42ec4eee5cfc4f2c88","observation_id":"2c83f7de-1b7a-479a-92d8-6620dcb6f6cc","resolution":{"observed_at":"2026-08-05T16:00:36.048773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T16:00:36.010518Z","title":"Claude sonnet 4,","venue":null,"work_id":"bedebf6a-6370-4e57-b9e0-517021d94ec3","year":2025},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.795339Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:0e6cd27c1cbdfc38d21b69d85f4cf68b31103b4b1723252e5608be5c65299ecc","observation_id":"af16df06-2e1d-48a4-8d28-240c6a6935ee","resolution":{"observed_at":"2026-08-05T16:00:36.017997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-05T16:00:33.801906Z","title":"Deepseek-v3 technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.801906Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:124639b7a7dbfc5ef6bc87ac1c2b6434ae08a8c800fda70d4e4dc861ffcb756e","observation_id":"b622ef6e-c2d5-40aa-80a3-6adbe1953be8","resolution":{"observed_at":"2026-08-05T16:00:33.801906Z","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":"2026-08-05T16:00:35.983997Z","title":"Deepseek,","venue":null,"work_id":"201e0bc4-6533-4eb4-a090-24d36f7996b7","year":2025},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.815905Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:311e885dce182fcc5799efe4deae2cc3beefd5ae521c0671cc26f1269151fde0","observation_id":"4b724f1c-c2c1-41eb-9fe7-f8155d14d8f2","resolution":{"observed_at":"2026-08-05T16:00:35.990994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T16:00:35.953308Z","title":"Chatgpt: Applications, opportunities, and threats,","venue":null,"work_id":"0653d5c6-5316-40c2-9b52-7427511c573c","year":null},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.823077Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:853fe24e13c90734ee77f07e55da74f2b43bf29e4ad5d7ac7432428788a23f49","observation_id":"009c0680-ac1e-49c0-8023-7d854c6a0254","resolution":{"observed_at":"2026-08-05T16:00:35.968142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T16:00:35.915309Z","title":"Chatgpt,","venue":null,"work_id":"6cb7b29d-5ebb-4ffb-bb6d-7aa5ec68a114","year":2025},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.845638Z"},"links":{"citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:095470df44dfbd4b509dfaaca597079f48384676fde1ea1ac53b4e3ba35ae639","observation_id":"ea52a953-30ca-4265-9801-c4e43243b213","resolution":{"observed_at":"2026-08-05T16:00:35.933620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1306.2164","last_updated":"2014-06-10T15:40:24Z","snapshot_observed_at":"2026-08-03T14:37:47.087094Z","submitted_at":"2013-06-10T11:14:51Z","title":"A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1306.2164","snapshot_observed_at":"2026-08-05T16:00:33.853016Z","title":"A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.853016Z"},"links":{"cited_paper":"/paper/1306.2164","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:14ed6f9d420c9f4a51f56ff1f5650337a04ca6008aca7d89fc0dcd306a9ff252","observation_id":"329fdf59-13de-4687-8f7d-2246b119abee","resolution":{"observed_at":"2026-08-05T16:00:33.853016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11735","last_updated":"2023-03-21T10:46:56Z","snapshot_observed_at":"2026-07-06T15:06:08.251101Z","submitted_at":"2023-03-21T10:46:56Z","title":"Tensor networks for quantum machine learning","version":1},"cited_work":{"arxiv_id":"2303.11735","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.11735","snapshot_observed_at":"2026-08-05T16:00:33.946552Z","title":"Tensor networks for quantum machine learning","venue":"quant-ph","work_id":"2a9d7bb8-7240-4ba0-9dec-4b13de4f2047","year":2023},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.859888Z"},"links":{"cited_paper":"/paper/2303.11735","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:a808c5a61bbe84052692ad19f73db771afff9f8a51c379071088116fa99a3ab4","observation_id":"cf239ea1-cd9c-41b5-a40b-c3b7182cb268","resolution":{"observed_at":"2026-08-05T16:00:33.959601Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09103","last_updated":"2023-04-14T16:25:03Z","snapshot_observed_at":"2026-08-04T10:41:21.755102Z","submitted_at":"2023-04-14T16:25:03Z","title":"ChatGPT: Applications, Opportunities, and Threats","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09103","snapshot_observed_at":"2026-08-05T16:00:33.837214Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:33.837214Z"},"links":{"cited_paper":"/paper/2304.09103","citing_paper":"/paper/2508.19157"},"observation_digest":"sha256:0300ee8a4620b464ad505aa8510e187824e0d38224531e795b359ec16bfeec52","observation_id":"99f74f85-5d0f-4d28-ab1a-a2ac4b429d65","resolution":{"observed_at":"2026-08-05T16:00:33.837214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.19157","last_updated":"2025-08-26T16:09:00Z","latest_version":1,"primary_category":"hep-th","snapshot_observed_at":"2026-08-05T16:00:32.287170Z","submitted_at":"2025-08-26T16:09:00Z","title":"Machine Learning Free Quotients of CICYs"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":10,"verified_fuzzy":7},"total_outbound_references":53},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2508.19157."}