{"as_of":"2026-08-07T09:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7fb6fa4f754284fce31670d4c4e97edef9564077620efe79e2d32e0015616e4","coverage":[{"denominator":115,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T12:55:26.987235Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2605.30139/citation-record","integrity":"/paper/2605.30139/integrity","json":"/paper/2605.30139/citation-record.json","paper":"/paper/2605.30139"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:55:22.691508Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:22.691508Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:9b3ff4e1695af88b48635d163ca489b39191527cb0a52d48ed9866f20ef9b995","observation_id":"a537b289-ee04-43d9-a4c5-3bf000768898","resolution":{"observed_at":"2026-08-02T12:55:22.691508Z","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":"2026-08-02T12:55:22.746791Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:22.746791Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:1f2ea2a700c38cbe8392c96f202fb420f833d5d82e69cdb568da3f32ae7cc373","observation_id":"36558c2d-dc5b-43fc-ae7f-19715e9f49ae","resolution":{"observed_at":"2026-08-02T12:55:22.746791Z","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":"2026-08-02T12:55:22.826623Z","title":"Last but not least, in order to avoid unphysical oscillations related to overfitting, we introduce weak smoothness penaltiesL SP","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:22.826623Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:7a0423c2227aeab44a45b90a2909305fd8e6438accb93cc4e9f42697b44685cd","observation_id":"5359a12c-afed-4d23-ba98-99dfec12f488","resolution":{"observed_at":"2026-08-02T12:55:22.826623Z","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":"2026-08-02T12:55:22.904420Z","title":"We consider the 31 model independent direct measurements of the Hubble parameter within the redshift range 0.09≤z≤1.965 [90]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:22.904420Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:b1ca16895b1991db6028c5ede8542219078b7a51d26d70ce623c995c6ed7573c","observation_id":"b357d71d-d407-4f67-8ef5-7014447b8fa1","resolution":{"observed_at":"2026-08-02T12:55:22.904420Z","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":"2026-08-02T12:55:22.975859Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:22.975859Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:860570df15a932c31409b5427a2d16256ed0b1e2ee261d029a31bba898926c43","observation_id":"9ad983d3-d5d8-4b7e-b94c-1f3a05709adf","resolution":{"observed_at":"2026-08-02T12:55:22.975859Z","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":"2026-08-02T12:55:23.057286Z","title":"The catalogues provide measure- ments of the distance modulusµ obs i as a function of redshiftz i","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.057286Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:6adce075f50312974ce964ff9dfbffd27d7b82aa7fdafa2f0fe5f062e5e63783","observation_id":"d3c0a6a4-bb90-458e-8c80-5b6d047d2530","resolution":{"observed_at":"2026-08-02T12:55:23.057286Z","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":"2026-08-02T12:55:23.134810Z","title":"For 1 NData χ2 Data << γ2, theL DATA ≃ 1 NData χ2 Data","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.134810Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:51e3d2d87315e8dc2b595a34d8aac24979f0f28a133575aadad7a71eedc6f1ad","observation_id":"106a5df8-eb70-4c80-94c4-2f87cd03c86e","resolution":{"observed_at":"2026-08-02T12:55:23.134810Z","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":"2026-08-02T12:55:23.199117Z","title":"First, we perform training runs with different sets of initial conditions to verify whether the PINN converges to a consistent solution","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.199117Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:0ef68db9d948bd5a4d6e0c63e17b746d1ee021c9c52d62bec5178349fde6d78e","observation_id":"8f491350-7600-4574-8e5a-23cfe5e82eee","resolution":{"observed_at":"2026-08-02T12:55:23.199117Z","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":"2026-08-02T12:55:23.261861Z","title":"Riess et al., Astron","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.261861Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:cbe74a6effbcec37f56c772ee5ea10dfa39ef9a4a50d4b8533583ab3c59ad8dc","observation_id":"295bad39-16b1-49f6-8d30-52c3f103bdff","resolution":{"observed_at":"2026-08-02T12:55:23.261861Z","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":"2026-08-02T12:55:23.337455Z","title":"Tegmark et al., Astrophys","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.337455Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:59753851f85db9bbf5686b365cfcd76974e57a29b331efecd636759c0ba9ecc1","observation_id":"7e3171bb-f41d-413a-9004-4483b1cf6ce5","resolution":{"observed_at":"2026-08-02T12:55:23.337455Z","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":"2026-08-02T12:55:23.391200Z","title":"Kowalski et al., Astrophys","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.391200Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:4831877aee1bd474a98dbe80027c732ddc0dd7dc9b67cdb5522fbf819843e536","observation_id":"43a880fa-a918-4f1e-936b-a4949f1d8def","resolution":{"observed_at":"2026-08-02T12:55:23.391200Z","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":"2026-08-02T12:55:23.442768Z","title":"Komatsu et al., Astrophys","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.442768Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:affaa6bc91dd1d9015cc1a05812814f6cb2cb8d8e8661ba7dc4c3ef19d493233","observation_id":"ec1ab9f3-bb99-418f-97e5-a217e8230fa1","resolution":{"observed_at":"2026-08-02T12:55:23.442768Z","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":"2026-08-02T12:55:23.495291Z","title":"Suzuki et al., Astrophys","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.495291Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:61ed6f0865fc830dc2a11e35426b659086e97ab3c388b6d934915aacc6258f47","observation_id":"7e324da8-20c2-41ba-bed6-de0924c125b8","resolution":{"observed_at":"2026-08-02T12:55:23.495291Z","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":"2026-08-02T12:55:23.615086Z","title":"Gutierrez, Nucl","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.615086Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:ab15e79e977511e961b5e133f0ceaa1ddc26f58fa1bd8e5a11370c5235d1342b","observation_id":"a39d6df9-7a6f-4dd6-a15e-fe8a31978adb","resolution":{"observed_at":"2026-08-02T12:55:23.615086Z","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":"2026-08-02T12:55:23.736015Z","title":"Di Valentino et al., Atropharticle Physics 131, 102605 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.736015Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:19bb75147508648ba4765e3e4a2c00bfab68bcb7a6951769e5d4de4b41642af4","observation_id":"15fa1402-fb7c-4393-a7dd-2b03ff3fdf71","resolution":{"observed_at":"2026-08-02T12:55:23.736015Z","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":"2026-08-02T12:55:23.832030Z","title":"Weinberg, Rev","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.832030Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:667677a5d3574547f79d2622d76666f74d72dfc3860049b64c19dbd7756f9ead","observation_id":"23ff41af-9c69-4847-9f80-b7ef12a820a4","resolution":{"observed_at":"2026-08-02T12:55:23.832030Z","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":"2026-08-02T12:55:23.914384Z","title":"Padmanabhan, Phys","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:23.914384Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:3750a784879e26b5ae8f637b7d6c5952958585468bcee4eed3aee154f7b5aa6d","observation_id":"6da4efa2-5733-4f65-9ffe-5988de1a3c0f","resolution":{"observed_at":"2026-08-02T12:55:23.914384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"0811.4684","last_updated":"2008-12-22T08:00:18Z","snapshot_observed_at":"2026-07-06T01:47:45.583661Z","submitted_at":"2008-11-28T11:19:59Z","title":"Six Puzzles for LCDM Cosmology","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0811.4684","snapshot_observed_at":"2026-08-02T12:55:24.020731Z","title":"Perivolaropoulos, (2008) arXiv.0811.4684","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.020731Z"},"links":{"cited_paper":"/paper/0811.4684","citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:7355836d678ec6a5cdd4172fcb03e9a253e4b3c87511103a7cdb337d6d832624","observation_id":"cfe54f56-e532-4505-9911-468715fe8fc2","resolution":{"observed_at":"2026-08-02T12:55:24.020731Z","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":"2026-08-02T12:55:24.034218Z","title":"Di Valentino et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.034218Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:374897a180f6c3ba3aff2ba5cde1c509580c710d3223ba1119a6709f4854241b","observation_id":"b22b729c-7b86-4a66-979d-a3b25c3b751b","resolution":{"observed_at":"2026-08-02T12:55:24.034218Z","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":"2026-08-02T12:55:24.118646Z","title":"Gorini, A","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.118646Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:263b2c5709bad66d5f4c146e15fa91d144414005809ca6c1d03ba759ff9065d5","observation_id":"d0c48909-8ac6-4968-8815-966de8466fd4","resolution":{"observed_at":"2026-08-02T12:55:24.118646Z","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":"2026-08-02T12:55:24.269030Z","title":"Valiviita, E","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.269030Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:fe38218846793279585c4490cca862e7871573a381d4cdcbab7242d158a8d318","observation_id":"4fec0f4a-4d50-4312-8faf-1d8799da3860","resolution":{"observed_at":"2026-08-02T12:55:24.269030Z","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":"2026-08-02T12:55:24.364599Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.364599Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:97402a8ec6ab9491170e52a4d9cae2185bd60b488a93019c2a1d4a7a372df03d","observation_id":"dc3fc9d1-71b6-46d5-971c-ea08a82ebe7c","resolution":{"observed_at":"2026-08-02T12:55:24.364599Z","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":"2026-08-02T12:55:24.462742Z","title":"Paliathanasis, Phys","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.462742Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:6de6ac5e34389fff76a607cf491d4faa865643468018bece8f072ec0ab6aabc4","observation_id":"b49d6a08-f1e1-40c7-9bcb-b66d2244f50b","resolution":{"observed_at":"2026-08-02T12:55:24.462742Z","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":"2026-08-02T12:55:24.559272Z","title":"Ratra and P.J.E","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.559272Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:d94f575bcb77787af21f4caa5800399bdc72c24ad5a520f3096c698c1e782bbe","observation_id":"ccc48742-5e66-4638-a4ee-ce275390ba65","resolution":{"observed_at":"2026-08-02T12:55:24.559272Z","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":"2026-08-02T12:55:24.662203Z","title":"Peebles and B","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.662203Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:500f0736110dda37a2d40eabc2a277094f278452cd660746685957d3a69f9aad","observation_id":"8db6e81d-8156-43de-906f-baeab7241fef","resolution":{"observed_at":"2026-08-02T12:55:24.662203Z","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":"2026-08-02T12:55:24.831466Z","title":"Ludwick, Mod","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.831466Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:645be6c607f422d951f01b920e320c0177584b69932e3dbf08f2c102b84cb487","observation_id":"301e271f-7ce9-47d4-b100-2d9fda8356f8","resolution":{"observed_at":"2026-08-02T12:55:24.831466Z","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":"2026-08-02T12:55:24.939691Z","title":"V´ azquez, D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:24.939691Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:ef42e0822767ab398a7cdf7f19d308b418968da71f36336a6eed943f3a67fbe2","observation_id":"6f5b252d-19c5-4d77-8758-23db86bae8b4","resolution":{"observed_at":"2026-08-02T12:55:24.939691Z","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":"2026-08-02T12:55:25.067953Z","title":"Shajib and J.A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.067953Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:d2efd27bcb04dc4d9802fe777a69b8c858629edb78a0946b27382d2f4d62bbba","observation_id":"439c5221-ccc9-422c-809c-c04d78c6be84","resolution":{"observed_at":"2026-08-02T12:55:25.067953Z","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":"2026-08-02T12:55:25.136219Z","title":"van de Bruck, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.136219Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:102c4ad8e8500a768b7dd53e33e7605ca6f77eb47aee39c45d5f5e08f8f8c1f4","observation_id":"1b7ed651-791c-4922-8335-04e5fa40b9ee","resolution":{"observed_at":"2026-08-02T12:55:25.136219Z","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":"2026-08-02T12:55:25.234203Z","title":"Paliathanasis, T","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.234203Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:cacd6bb46f29bb2d5ca516e405027c416a3f58d100100e829ad81b00288a7dda","observation_id":"6477171d-c417-44e4-acd4-4d7c1e2fce2b","resolution":{"observed_at":"2026-08-02T12:55:25.234203Z","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":"2026-08-02T12:55:25.320229Z","title":"Deffayet, X","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.320229Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:2f898ebd4bf3ba04af256d53760caafd84f9ad21591e7e3ef1d659b2b7501eea","observation_id":"0cd588fd-eb79-4fce-bae0-c302b38f7ca1","resolution":{"observed_at":"2026-08-02T12:55:25.320229Z","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":"2026-08-02T12:55:25.414087Z","title":"Faraoni, Cosmology in Scalar-Tensor Gravity, Springer Dordrecht (2004)","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.414087Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:2a1a0849751ee0143ea6c56c6159cea58be89503a8c8fc875b89aa0e240e2111","observation_id":"9bd35314-adb3-41f4-8d0a-59c10e288711","resolution":{"observed_at":"2026-08-02T12:55:25.414087Z","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":"2026-08-02T12:55:25.570266Z","title":"Kase and S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.570266Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:eaaec7409408231b650fec67492b9cc0faa92220ea1ed230f7368f4fe5c26b35","observation_id":"31657be6-d7a8-4533-9a25-c5c213a24b66","resolution":{"observed_at":"2026-08-02T12:55:25.570266Z","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":"2026-08-02T12:55:25.688842Z","title":"Buchdahl, Mon","venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.688842Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:d6e9ef29e9e354308038cf877291f72e794a29ce91480f9316920eb2e6e6d3b7","observation_id":"7a58a881-7a7a-43aa-892e-5edccb0e0f13","resolution":{"observed_at":"2026-08-02T12:55:25.688842Z","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":"2026-08-02T12:55:25.794589Z","title":"Ferraro and F","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.794589Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:1d35c20f51e309d102086d4cde9edeac40685dd4f57cdedae004724b09efe80b","observation_id":"ab630c5c-f804-454d-bdc7-2b623937b6e8","resolution":{"observed_at":"2026-08-02T12:55:25.794589Z","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":"2026-08-02T12:55:25.870689Z","title":"Heisenberg, Physics Rept","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.870689Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:b543915bac4ba9d44288b0bd2109458d74f1e4f0c2f11824256221af0eb21909","observation_id":"1d687aab-0e70-483e-85fc-7beccf1517bf","resolution":{"observed_at":"2026-08-02T12:55:25.870689Z","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":"2026-08-02T12:55:25.984948Z","title":"Clifton, P.G","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:25.984948Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:5505d8bbdaf1f30bfdf71dec2a3580b592ccab911d345f670642e07a10d7cf33","observation_id":"a255b21a-d186-463e-88b7-1e4ec31d8fd0","resolution":{"observed_at":"2026-08-02T12:55:25.984948Z","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":"2026-08-02T12:55:26.114181Z","title":"Nojiri, S.D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.114181Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:84e2ce6e515ef15a3fbaa77ea0b1e5f9faf09b9439cc68de1e35f50e6b1021f4","observation_id":"5066af67-8378-4bff-a9d0-10c17cf449b3","resolution":{"observed_at":"2026-08-02T12:55:26.114181Z","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":"2026-08-02T12:55:26.213499Z","title":"Joyce, L","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.213499Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:fad537bfd7cc69ae0fa5e47fcc35b0a7a848848929017f9bff4fa4abc7e0187d","observation_id":"2085264d-29e9-4493-970b-e30f79ca4840","resolution":{"observed_at":"2026-08-02T12:55:26.213499Z","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":"2026-08-02T12:55:26.279676Z","title":"Yoo and Y","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.279676Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:fd09b394622825260cf3ddf4b4979d537d23157948aaad6043448ccd535c236e","observation_id":"8d80a685-3b21-40cb-937c-b260b5e0495d","resolution":{"observed_at":"2026-08-02T12:55:26.279676Z","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":"2026-08-02T12:55:26.451582Z","title":"Nojiri, S.D","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.451582Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:efd939cc80134b80fffb40433fc150e723b234f537b6def34f929584326c585a","observation_id":"03f453c9-379b-4d19-b06c-1bd279aeb3f8","resolution":{"observed_at":"2026-08-02T12:55:26.451582Z","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":"2026-08-02T12:55:26.583366Z","title":"Saridakis, Phys","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.583366Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:56f28440ca10eba744f4a50b4e7262a661a52f5ab2d8c13d59fd79133ee08145","observation_id":"95a238e8-b336-4d48-afbf-7af44dc681d2","resolution":{"observed_at":"2026-08-02T12:55:26.583366Z","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":"2026-08-02T12:55:26.747327Z","title":"Basilakos, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.747327Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:2fd037787369764711e5f4f0234e3131ee6f241218438ba9237ba635faef60de","observation_id":"fd80b5e2-ff43-46c6-a901-2380e8eab084","resolution":{"observed_at":"2026-08-02T12:55:26.747327Z","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":"2026-08-02T12:55:26.759245Z","title":"Sahlu, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.759245Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:dfef856a9ff9429fa4c1fd587932ff88114dd9aaceda4dedaf7c3d85ef3665f2","observation_id":"3495a12f-5823-4469-88b9-3d577d5fdcfe","resolution":{"observed_at":"2026-08-02T12:55:26.759245Z","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":"2026-08-02T12:55:26.763330Z","title":"Paliathanasis, JHEAp 52, 100609 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.763330Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:2662d64d8e958247b7d497e19f7f43ee3765b52b81449ca52261427b02f2f427","observation_id":"4b366a8f-676f-4da1-ac62-22a92005209e","resolution":{"observed_at":"2026-08-02T12:55:26.763330Z","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":"2026-08-02T12:55:26.767238Z","title":"Paliathanasis, Phys","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.767238Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:7436196fdd7dbb6398848d3eb185eacf2dc593fe257a00675cb8ee75c3187a28","observation_id":"9b4214cc-9325-475f-878f-11a0bde47df1","resolution":{"observed_at":"2026-08-02T12:55:26.767238Z","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":"2026-08-02T12:55:26.771090Z","title":"Shafiello, V","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.771090Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:1231e7565da0778da4828eeb05e638650ecb043ad56c94da987dcc9aa0481130","observation_id":"c7640104-1ff2-429f-83e0-457651539bbf","resolution":{"observed_at":"2026-08-02T12:55:26.771090Z","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":"2026-08-02T12:55:26.774891Z","title":"Giare, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.774891Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:18112391fad875b5fb12bcd942ada8efb07b2156260fb71983c68ce0d65a1471","observation_id":"6ff09dd8-91f4-4384-914a-9e2e19391c21","resolution":{"observed_at":"2026-08-02T12:55:26.774891Z","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":"2026-08-02T12:55:26.778701Z","title":"Chevaller and D","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.778701Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:5692d0681f642285ea8280625605793597d9bb55e18d76c4845fbee15905f208","observation_id":"6ff66b2b-a256-429f-b5b1-5106274ef12a","resolution":{"observed_at":"2026-08-02T12:55:26.778701Z","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":"2026-08-02T12:55:26.782595Z","title":"Linder, Phys","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.782595Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:ebb2b831108b6a3bca8f0c7f1d4180c496241a45a85c62c8ae302e0bfc688e7e","observation_id":"eea1b569-3ba9-43c3-9305-5e8363db120b","resolution":{"observed_at":"2026-08-02T12:55:26.782595Z","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":"2026-08-02T12:55:26.786426Z","title":"Rezaei, M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.786426Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:155843e085d60b0207894932b262082e7157f9fd2d0afd92dfa66197fec4824a","observation_id":"7e4d9895-4128-4d1a-a23d-a5a26c4d0027","resolution":{"observed_at":"2026-08-02T12:55:26.786426Z","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":"2026-08-02T12:55:26.790794Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.790794Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:3df84393d4934bb0c8c4bd27cf8f23fed2e281fc6cdde7b987923671f97d7a7a","observation_id":"b77b1e89-09a6-4c26-8f3e-37bcb62e230b","resolution":{"observed_at":"2026-08-02T12:55:26.790794Z","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":"2026-08-02T12:55:26.794678Z","title":"Barboza Jr","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.794678Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:fc0bbef30fb51d55867c2bfddd7efb9b08fecd49097c3f3917eada050a95a8c6","observation_id":"ebe7ac83-beff-4086-a832-32c6e088a010","resolution":{"observed_at":"2026-08-02T12:55:26.794678Z","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":"2026-08-02T12:55:26.798542Z","title":"Dimakis, A","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.798542Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:f0a7e29ef3e064c5c892a29759a2042e12b6e908fdd47e286023fc336ed63a00","observation_id":"ee079a83-e1ed-48e7-8fab-2413b10529ec","resolution":{"observed_at":"2026-08-02T12:55:26.798542Z","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":"2026-08-02T12:55:26.802457Z","title":"Linder, Astropart","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.802457Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:f37e40397ef0db3008b195e41c0e4eb98a04e887b67ffec85ba834c94c70bf56","observation_id":"d5212b1a-6553-480c-a3e0-35e15b9dce62","resolution":{"observed_at":"2026-08-02T12:55:26.802457Z","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":"2026-08-02T12:55:26.806349Z","title":"Tripathi, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.806349Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:e9511eee438f2ad80536b309bb8decaa218e30888cdd420732750eb3f67940e2","observation_id":"4688b410-6d92-4e0b-bcfa-4316f6928410","resolution":{"observed_at":"2026-08-02T12:55:26.806349Z","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":"2026-08-02T12:55:26.810266Z","title":"Escamilla, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.810266Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:4631f5f33b8bff1e06d7277f3c5003a2e47a131550c54285d7778fc37fb57ee3","observation_id":"3ac81045-43c9-442e-8b83-c21a8fc28217","resolution":{"observed_at":"2026-08-02T12:55:26.810266Z","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":"2026-08-02T12:55:26.814555Z","title":"Paliathanasis, Phys","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.814555Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:385e485fb8a286c8762e47b302e7e705c0b133d4d68ceadee9a71460d8e4a1bd","observation_id":"948baecf-54c9-4a8c-94a6-440ac3d58b3a","resolution":{"observed_at":"2026-08-02T12:55:26.814555Z","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":"2026-08-02T12:55:26.822595Z","title":"Shafieloo, A.G","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.822595Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:6c09a19286c26e6fd8bafc03c255ea6345b2c46651233dc2d1bfcebc4fe4dec0","observation_id":"495cb355-4081-42a1-9205-c347d6176eda","resolution":{"observed_at":"2026-08-02T12:55:26.822595Z","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":"2026-08-02T12:55:26.826868Z","title":"Seikel, C","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.826868Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:d6dd13b0e9aaf19fc00ef7891ba9979447ef115d49bcd44a92c3b9dd33b85475","observation_id":"c4e9608f-301e-473e-a150-2b1d13532d1c","resolution":{"observed_at":"2026-08-02T12:55:26.826868Z","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":"2026-08-02T12:55:26.830829Z","title":"Yang, Z.-K","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.830829Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:7fb6cf4d67cbe7cd41599dc6fd181d1476cdcf5f1443ba33786d4629eab9932e","observation_id":"bcb39ec9-99ed-4a04-b32b-63720af43607","resolution":{"observed_at":"2026-08-02T12:55:26.830829Z","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":"2026-08-02T12:55:26.834436Z","title":"Zhang and J.-Q","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.834436Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:472a4a21ee00d853f576ac10e02d8f37cbb625db15eb07ad20246346f304bb50","observation_id":"cb1cfc52-4fd4-41c1-8b07-0d71fa2fa6b5","resolution":{"observed_at":"2026-08-02T12:55:26.834436Z","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":"2026-08-02T12:55:26.838137Z","title":"Jesus, R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.838137Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:ce7c8890e635999a8f957144a3f7d4d9356b6738035f1558eb92e64437f91d10","observation_id":"da1ebbfc-5fed-4741-8b33-5a0be6331cce","resolution":{"observed_at":"2026-08-02T12:55:26.838137Z","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":"2026-08-02T12:55:26.841921Z","title":"Yennapureddy and F","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.841921Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:f17313282917bee451880e2ede299ef8ee2d21b77cebf5cc7e3cfea07e74a3a2","observation_id":"25068cc0-1ba5-43b9-b53e-919861ff370d","resolution":{"observed_at":"2026-08-02T12:55:26.841921Z","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":"2026-08-02T12:55:26.846245Z","title":"Bernado and J.L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.846245Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:af47e5c315aca2421743182eb67673f6eb931f8d61c6d562faa2a3bcee8fb4a5","observation_id":"c1f5cbc2-b7c6-4142-842d-a4bab945d53c","resolution":{"observed_at":"2026-08-02T12:55:26.846245Z","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":"2026-08-02T12:55:26.850200Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.850200Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:e99a72c364e5620864fbf6009e5dcb632244b5c9368a0e21dde6e60c8730c527","observation_id":"d0c21a69-29b4-49e3-974e-4087428cc140","resolution":{"observed_at":"2026-08-02T12:55:26.850200Z","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":"2026-08-02T12:55:26.854162Z","title":"Ren, S.-F","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.854162Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:ce2bfc9f9c504d6b0c2fddec0f17601a597e3209e40d4c714506cac249584be1","observation_id":"0ee08751-0600-470c-96f3-2e0e3ab61d62","resolution":{"observed_at":"2026-08-02T12:55:26.854162Z","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":"2026-08-02T12:55:26.858297Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.858297Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:75fcbabdb4ecce4646b8dfa979f38a46154ad9689fac414f516e838ac1b27664","observation_id":"e8bb0544-6797-41cc-b066-544d07f69ab3","resolution":{"observed_at":"2026-08-02T12:55:26.858297Z","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":"2026-08-02T12:55:26.862141Z","title":"Wang and X.-H","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.862141Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:ced7c1048d3030869a98cca75ae84734bcfc9c64ff7f309d2095bfe5cc2b0627","observation_id":"9c7b29f2-5b9c-4571-9209-be79404e70fa","resolution":{"observed_at":"2026-08-02T12:55:26.862141Z","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":"2026-08-02T12:55:26.866001Z","title":"Dhawan, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.866001Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:4e40a09d0a378a2472f9d9200ae552daba3466f4bba85dd0e889080cf67c1ea7","observation_id":"8c5a653f-c9e7-4067-bcca-06a048661e5f","resolution":{"observed_at":"2026-08-02T12:55:26.866001Z","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":"2026-08-02T12:55:26.869956Z","title":"Zhang and H","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.869956Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:8a097b1f66df0205f070593722d9e332ebdc0b4d695af8cadb7b91d946976121","observation_id":"16bc3886-4250-483d-a2cc-5ee5762f043e","resolution":{"observed_at":"2026-08-02T12:55:26.869956Z","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":"2026-08-02T12:55:26.874467Z","title":"Johnson and H.K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.874467Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:ad7c12c7195d10f804110c368d037455c1e933438c07ece5cbc56fbfb7c50761","observation_id":"b33e09e9-9e31-4c8f-99b2-f2dc9bcce7bf","resolution":{"observed_at":"2026-08-02T12:55:26.874467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.04056","last_updated":"2026-04-05T11:01:02Z","snapshot_observed_at":"2026-07-13T11:27:15.290122Z","submitted_at":"2026-04-05T11:01:02Z","title":"Reconstruction of the Quintessence Scalar Field Potential Using Gaussian Processes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.04056","snapshot_observed_at":"2026-08-02T12:55:26.879059Z","title":"El Ouardi, A","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.879059Z"},"links":{"cited_paper":"/paper/2604.04056","citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:708eb62d2546f90548d2a4344de7076f22fe26badf9a93e84739a0c205c7fa12","observation_id":"f1f79f96-3fd4-49a4-b9d7-563893dc63d4","resolution":{"observed_at":"2026-08-02T12:55:26.879059Z","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":"2026-08-02T12:55:26.883456Z","title":"Wang, X.-J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.883456Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:7f08e03f9455b0df546026f97a85d3302199a1d3108b4c07f8c6fc5aa3f44a5c","observation_id":"235d23ca-c582-4506-9c58-3f3e41ec53cb","resolution":{"observed_at":"2026-08-02T12:55:26.883456Z","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":"2026-08-02T12:55:26.887581Z","title":"Zhang, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.887581Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:5763d7b87042fc0a7844db99ca70824df8283639b1605823f2cfe598233351bc","observation_id":"9072c5b7-8de5-403b-a557-87cb0eb77b67","resolution":{"observed_at":"2026-08-02T12:55:26.887581Z","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":"2026-08-02T12:55:26.891881Z","title":"Gomez-Vargas, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.891881Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:0c1c19cc2bfad1f5f9779c4add024fae49987a9e46fe929b9ff5cbba7c51a78b","observation_id":"8c74aa1a-78a5-4f7d-98f9-8f3c12f9ac6a","resolution":{"observed_at":"2026-08-02T12:55:26.891881Z","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":"2026-08-02T12:55:26.895750Z","title":"Dialektopoulos, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.895750Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:3ab0e666c403dbb3271c8c25cb184db92ef5b01dacb671f32c1a99605ee6f67f","observation_id":"c5735e96-7492-432e-a82b-9f19bd49a0ab","resolution":{"observed_at":"2026-08-02T12:55:26.895750Z","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":"2026-08-02T12:55:26.899729Z","title":"Dialektopoulos, P","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.899729Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:52d2865c2b8d5676173585b8f245e3cad9d886e6caf4bbc840d87559c024914b","observation_id":"86d9c4b7-5af8-4f49-a391-1f23614e0d0d","resolution":{"observed_at":"2026-08-02T12:55:26.899729Z","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":"2026-08-02T12:55:26.903491Z","title":"Mukherjee, M.G","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.903491Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:1ca2fb051184e47e535bf7718c3305cadc98320e0ec5b1b8bcf430856a10dbb1","observation_id":"b9c59513-22a8-4d82-a13f-6d006b2ae31e","resolution":{"observed_at":"2026-08-02T12:55:26.903491Z","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":"2026-08-02T12:55:26.907413Z","title":"Mukherjee, K.F","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.907413Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:90c1520c5592c42019575b9f7c5e81cbc8a238fe66334218090243a3a6ea48ec","observation_id":"3ce9e916-49d4-45c9-90a4-c751ef769561","resolution":{"observed_at":"2026-08-02T12:55:26.907413Z","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":"2026-08-02T12:55:26.911689Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.911689Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:7cf401099a6154446f0f3aadbb5c082514fc20430d5dc0f9b704005c877f3144","observation_id":"79840bb7-d059-49d8-9212-a2b6bd17e897","resolution":{"observed_at":"2026-08-02T12:55:26.911689Z","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":"2026-08-02T12:55:26.915844Z","title":"Thummel, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.915844Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:15b7c9d0b8a522bec80ca06e4b2dfb3650414c372fea910481b68e1a7ee3abb5","observation_id":"5032daeb-5db0-4b88-a73e-4ed2bf25bcc5","resolution":{"observed_at":"2026-08-02T12:55:26.915844Z","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":"2026-08-02T12:55:26.919810Z","title":"Zhang, G.-J","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.919810Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:86b4e0102ac45a736ea582cdd34fbb1f437dcf41c48fbbac82eb7ecbe71ae8a5","observation_id":"6391e8fb-e9cb-4b5f-a4bb-e20d0ff80e8b","resolution":{"observed_at":"2026-08-02T12:55:26.919810Z","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":"2026-08-02T12:55:26.923856Z","title":"Zhang, Y.-C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.923856Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:a509640a46c9aca9f70a240c541235619274e46bd53599d937ffeccbe7863b5d","observation_id":"1b5d46c0-3ffd-4021-9d96-bb7eea47ff48","resolution":{"observed_at":"2026-08-02T12:55:26.923856Z","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":"2026-08-02T12:55:26.927960Z","title":"Mukherjee and A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.927960Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:8640a1942aa829d1b88f751eafdef0853a2317665443a56e1c9fdad4ab1e21d0","observation_id":"e93b198f-162d-404a-b1fa-d543d59610ad","resolution":{"observed_at":"2026-08-02T12:55:26.927960Z","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":"2026-08-02T12:55:26.932013Z","title":"Raissi, P","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.932013Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:fd8c584d625e3b293ccc4a1406ca240e635f7b2be4c19a516a4a432aff5bea1b","observation_id":"dcd8a906-499b-46d4-ac0c-4d91af172c46","resolution":{"observed_at":"2026-08-02T12:55:26.932013Z","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":"2026-08-02T12:55:26.935731Z","title":"Liu, PINN with Python: An Introduction, Scientech Publisher, Mason, USA (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.935731Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:eb58bbd5ad192cf4b92ede241eec8b07edc4bb76f65d5c8c50f4bedc59e31126","observation_id":"2e266b6d-44e8-433f-aa07-0f44f5aced1a","resolution":{"observed_at":"2026-08-02T12:55:26.935731Z","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":"2026-08-02T12:55:26.939458Z","title":"Chantada, S.J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.939458Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:06cfe60fe937a7c34078e2d548cdda53c12d2b26fd9cd4fd19a6a05b42fa8f98","observation_id":"2d00774b-f8b8-489d-9911-6dc852761667","resolution":{"observed_at":"2026-08-02T12:55:26.939458Z","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":"2026-08-02T12:55:26.943747Z","title":"Yarahmadi and A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.943747Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:fddcdf3b0981f48ff677a11ae4078172dddcc5171ce272648894602d36cdd78b","observation_id":"7cacf306-3057-4172-8ec0-f7023729c9ea","resolution":{"observed_at":"2026-08-02T12:55:26.943747Z","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":"2026-08-02T12:55:26.947633Z","title":"Yarahmadi and A","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.947633Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:97f6ee948107875b6c54e89c1a48d06c3d209c87ac25361f772941644e2091b0","observation_id":"3ddbc113-32f6-4ed3-9174-6ed157d75106","resolution":{"observed_at":"2026-08-02T12:55:26.947633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.12032","last_updated":"2025-08-16T12:59:30Z","snapshot_observed_at":"2026-08-05T19:36:41.964885Z","submitted_at":"2025-08-16T12:59:30Z","title":"Cosmology-informed Neural Networks to infer dark energy equation-of-state","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.12032","snapshot_observed_at":"2026-08-02T12:55:26.951456Z","title":"Verna, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.951456Z"},"links":{"cited_paper":"/paper/2508.12032","citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:8f3d7f413672b5269d415a93e505f3d83d269a0d55cebf2aefe8a416ffee7e2f","observation_id":"35ae120f-8a60-42d6-845c-e38ee47aafb0","resolution":{"observed_at":"2026-08-02T12:55:26.951456Z","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":"2026-08-02T12:55:26.955506Z","title":"Gomez, A.T","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.955506Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:cc4990c68e9928902ff484547e08457f470ce65113b31032571ef841085344f6","observation_id":"769d1141-5ef9-462b-a9cf-c6cf0c13584a","resolution":{"observed_at":"2026-08-02T12:55:26.955506Z","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":"2026-08-02T12:55:26.959338Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.959338Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:8398b9ed9f7c21b4162f53b9f1419c90be8a176ddb7afce9bd4c64b98a098928","observation_id":"3e650062-ccf2-4689-883f-37549379eb62","resolution":{"observed_at":"2026-08-02T12:55:26.959338Z","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":"2026-08-02T12:55:26.963196Z","title":"Aghanim et al., A&A 641, A6 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.963196Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:e2af98e63acd78444d191fc954d42d540f8852fe399ad3969261b9e7f2d81410","observation_id":"b9eeff10-b1e2-44c2-a2a6-20907a46a2cc","resolution":{"observed_at":"2026-08-02T12:55:26.963196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.07362","last_updated":"2020-08-24T07:38:09Z","snapshot_observed_at":"2026-08-05T13:22:46.068289Z","submitted_at":"2020-03-16T18:00:01Z","title":"Setting the Stage for Cosmic Chronometers. II. Impact of Stellar Population Synthesis Models Systematics and Full Covariance Matrix","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.07362","snapshot_observed_at":"2026-08-02T12:55:26.967207Z","title":"Moresco, R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.967207Z"},"links":{"cited_paper":"/paper/2003.07362","citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:7f57ae60c9eb4e330c4ac7d8c640c29c9d1ebb44f31b4a1b3d2188f5842a7ed3","observation_id":"8e226d44-eee7-42a0-b6b1-9c48ddbc3a96","resolution":{"observed_at":"2026-08-02T12:55:26.967207Z","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":"2026-08-02T12:55:26.971297Z","title":"Vagnozzi, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.971297Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:17ab50becb76426d2a6c618669cba50838ce24907508a9ef701122dfe637212c","observation_id":"7940b847-265d-4d53-bb25-6077f4ca9b66","resolution":{"observed_at":"2026-08-02T12:55:26.971297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14738","last_updated":"2025-10-09T16:45:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-18T21:14:12Z","title":"DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14738","snapshot_observed_at":"2026-08-02T12:55:26.975478Z","title":"Abdul Karim et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.975478Z"},"links":{"cited_paper":"/paper/2503.14738","citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:692f36aa6ab56406f457a2ed4e11980aff347a3a66cb3db2214eb3b2fda70817","observation_id":"f0693f79-0b43-4a71-85d1-4b9a339c2d12","resolution":{"observed_at":"2026-08-02T12:55:26.975478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14739","last_updated":"2025-06-30T00:11:58Z","snapshot_observed_at":"2026-07-30T08:44:56.946347Z","submitted_at":"2025-03-18T21:14:13Z","title":"DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14739","snapshot_observed_at":"2026-08-02T12:55:26.979582Z","title":"Abdul Karim et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.979582Z"},"links":{"cited_paper":"/paper/2503.14739","citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:0d391380403fa5b5cea73b7cf0de59cc3e9835af6819bb8cd94e5527953bcd96","observation_id":"5e804697-9247-4376-9992-a0af64971986","resolution":{"observed_at":"2026-08-02T12:55:26.979582Z","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":"2026-08-02T12:55:26.983476Z","title":"Brout et al., The Astrophysical Journal 938, 110 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.983476Z"},"links":{"citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:d339efeaa8c52aa6c6d4767244f5d60e08614bd3d76776ebdb2fca416e984b2d","observation_id":"a55cc0c8-6c3d-466d-85d3-192e5c261216","resolution":{"observed_at":"2026-08-02T12:55:26.983476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12098","last_updated":"2025-06-20T17:34:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-20T19:00:01Z","title":"Union Through UNITY: Cosmology with 2,000 SNe Using a Unified Bayesian Framework","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12098","snapshot_observed_at":"2026-08-02T12:55:26.987235Z","title":"Rubin et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction","version":2},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-08-02T12:55:26.987235Z"},"links":{"cited_paper":"/paper/2311.12098","citing_paper":"/paper/2605.30139"},"observation_digest":"sha256:d9f06239f7d00808a95b306f8b58727f77e6dce48e96a0c9a978e632902b47ff","observation_id":"7d47032a-a87d-4f67-b6ab-2c5a1d3a35fe","resolution":{"observed_at":"2026-08-02T12:55:26.987235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.30139","last_updated":"2026-07-22T06:23:48Z","latest_version":2,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-08-06T00:05:55.942433Z","submitted_at":"2026-05-28T16:04:52Z","title":"Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":100,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":115},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 0 inbound Pith citation observations for arXiv:2605.30139."}