{"as_of":"2026-08-17T19:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:01a35730be5d1d377b442660adb4453a129e23c8cc61e9b043b6df68daba728a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T10:47:27.717827Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-12T01:18:31.230899Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.07787","last_updated":"2020-04-21T14:20:41Z","snapshot_observed_at":"2026-08-14T16:04:55.698211Z","submitted_at":"2019-07-17T21:59:04Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07787","snapshot_observed_at":"2026-08-14T10:47:27.717827Z","title":"2019a, arXiv:1907.07787","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"1908.10590","last_updated":"2020-06-10T13:01:08Z","snapshot_observed_at":"2026-08-15T21:42:14.530838Z","submitted_at":"2019-08-28T07:57:59Z","title":"Cosmological parameter estimation from large-scale structure deep learning","version":5},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T10:47:27.717827Z"},"links":{"cited_paper":"/paper/1907.07787","citing_paper":"/paper/1908.10590"},"observation_digest":"sha256:9b1622cd67342f70a405616207e8f19e90bd2933e7f9e79d0fd5bcf77c4b2b07","observation_id":"503281e5-2428-4133-b38b-d77f405fda73","resolution":{"observed_at":"2026-08-14T10:47:27.717827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07787","last_updated":"2020-04-21T14:20:41Z","snapshot_observed_at":"2026-08-14T16:04:55.698211Z","submitted_at":"2019-07-17T21:59:04Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07787","snapshot_observed_at":"2026-08-10T20:48:07.234756Z","title":"Hassan, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.07469","last_updated":"2025-08-25T11:45:06Z","snapshot_observed_at":"2026-08-16T23:45:01.266916Z","submitted_at":"2025-01-13T16:35:55Z","title":"Deep Needlet: A CNN based full sky component separation method in Needlet space","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T20:48:07.234756Z"},"links":{"cited_paper":"/paper/1907.07787","citing_paper":"/paper/2501.07469"},"observation_digest":"sha256:49cfc3755780c972ce8472820b6a2634aae9d627ca0698bc9be87abb7a6ff658","observation_id":"40b0943b-0cda-4a21-87f5-8bcc8cc424b2","resolution":{"observed_at":"2026-08-10T20:48:07.234756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07787","last_updated":"2020-04-21T14:20:41Z","snapshot_observed_at":"2026-08-14T16:04:55.698211Z","submitted_at":"2019-07-17T21:59:04Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07787","snapshot_observed_at":"2026-08-09T11:42:48.575878Z","title":"Hassan, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.02638","last_updated":"2025-06-03T17:12:21Z","snapshot_observed_at":"2026-08-12T15:12:46.310398Z","submitted_at":"2025-02-04T19:00:01Z","title":"An Alcock-Paczynski Test on Reionization Bubbles for Cosmology","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T11:42:48.575878Z"},"links":{"cited_paper":"/paper/1907.07787","citing_paper":"/paper/2502.02638"},"observation_digest":"sha256:78089f7fb73f04cdc40653350ccfbe800a55b46ddb706b1c075f35ce8a26b3bb","observation_id":"b9bf8579-b0fe-4c05-9076-a1b89672345e","resolution":{"observed_at":"2026-08-09T11:42:48.575878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07787","last_updated":"2020-04-21T14:20:41Z","snapshot_observed_at":"2026-08-14T16:04:55.698211Z","submitted_at":"2019-07-17T21:59:04Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07787","snapshot_observed_at":"2026-08-04T13:15:32.174463Z","title":"Hassan, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.01121","last_updated":"2026-06-03T17:40:08Z","snapshot_observed_at":"2026-08-13T02:37:27.272236Z","submitted_at":"2025-10-01T17:07:37Z","title":"CosmoUiT: A Vision Transformer-UNet Hybrid for Fast and Accurate Emulation of 21-cm Maps from the Epoch of Reionization","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T13:15:32.174463Z"},"links":{"cited_paper":"/paper/1907.07787","citing_paper":"/paper/2510.01121"},"observation_digest":"sha256:03eca8be17526708eb54f5844d7ea1f2f5094a8616a739542d386a52d9f8335a","observation_id":"5053f7d2-9e71-4d5b-a4e5-56bc7ee60509","resolution":{"observed_at":"2026-08-04T13:15:32.174463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07787","last_updated":"2020-04-21T14:20:41Z","snapshot_observed_at":"2026-08-14T16:04:55.698211Z","submitted_at":"2019-07-17T21:59:04Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA","version":2},"cited_work":{"arxiv_id":"1907.07787","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.07787","snapshot_observed_at":"2026-07-12T01:18:31.230899Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA","venue":"astro-ph.CO","work_id":"02ab9450-7a8e-4ac6-b151-d4ed29aa9f86","year":2019},"citing_paper":{"arxiv_id":"2607.03606","last_updated":"2026-07-03T21:31:31Z","snapshot_observed_at":"2026-08-15T03:05:44.622265Z","submitted_at":"2026-07-03T21:31:31Z","title":"Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization","version":1},"reference_index":183,"source":"arxiv_source","source_observed_at":"2026-07-12T01:14:24.457057Z"},"links":{"cited_paper":"/paper/1907.07787","citing_paper":"/paper/2607.03606"},"observation_digest":"sha256:8b6b7259321351768eeddb032eddb2d4c9a1761ad5e817d6f00e98f0027a40d6","observation_id":"290e20d3-5f09-4d63-ba27-04761990eeee","resolution":{"observed_at":"2026-07-12T01:18:31.234538Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07787","last_updated":"2020-04-21T14:20:41Z","snapshot_observed_at":"2026-08-14T16:04:55.698211Z","submitted_at":"2019-07-17T21:59:04Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07787","snapshot_observed_at":"2026-07-14T15:06:13.177523Z","title":"Hassan, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.09846","last_updated":"2026-07-10T18:00:00Z","snapshot_observed_at":"2026-08-15T00:39:58.604760Z","submitted_at":"2026-07-10T18:00:00Z","title":"The Rise and Fall of Acoustic Oscillations at Cosmic Dawn","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-14T15:06:13.177523Z"},"links":{"cited_paper":"/paper/1907.07787","citing_paper":"/paper/2607.09846"},"observation_digest":"sha256:fd672e9c3ade85ea09ebc0d4d38ab44309b8a282f2ef10da5251674a91e25046","observation_id":"65d1294c-bd05-4c91-b3a8-3fed3e8baba5","resolution":{"observed_at":"2026-07-14T15:06:13.177523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1907.07787/citation-record","integrity":"/paper/1907.07787/integrity","json":"/paper/1907.07787/citation-record.json","paper":"/paper/1907.07787"},"outbound":[],"paper":{"arxiv_id":"1907.07787","last_updated":"2020-04-21T14:20:41Z","latest_version":2,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-08-14T16:04:55.698211Z","submitted_at":"2019-07-17T21:59:04Z","title":"Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1907.07787."}