{"as_of":"2026-08-09T06:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:996aac424944a41e953622ee079e54d89ebe035d2e76d536cf711f34074adc83","coverage":[{"denominator":90,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":90,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:16:00.434563Z","state":"measured"},{"denominator":91,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":91,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T02:27:16.846091Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.02957","snapshot_observed_at":"2026-07-31T02:27:16.846091Z","title":", keywords =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28604","last_updated":"2026-07-30T17:54:43Z","snapshot_observed_at":"2026-08-06T11:18:05.221988Z","submitted_at":"2026-07-30T17:54:43Z","title":"Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-31T02:27:16.846091Z"},"links":{"cited_paper":"/paper/2506.02957","citing_paper":"/paper/2607.28604"},"observation_digest":"sha256:69dba43834d1aca6729ebf9417e1941ddd6d5a504c28275dae5f2563e7272682","observation_id":"14af15f5-5c78-4e66-ae33-c8a363cf5255","resolution":{"observed_at":"2026-07-31T02:27:16.846091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.02957/citation-record","integrity":"/paper/2506.02957/integrity","json":"/paper/2506.02957/citation-record.json","paper":"/paper/2506.02957"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:15:52.475372Z","title":"JH cBP ]D aW Z *+b tWwͽ 99- /栚Jd1qI,R'@ RNTT8`w w Bg 5-H.8M( B| I @B|jTWC# B\\ *ܤi*|'. |, nȳ P N X > υ 9J v : L 3 *># rs sXæ) Q r CA 6(. +13S Gm r. `B<F c0 !ND > h8 U","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:52.475372Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:f204b2557ead57177f9792dc7c63d80ed02049d0f44b8b50b5dec7008820d2a6","observation_id":"06164b13-f8db-416d-946f-56b06e72788c","resolution":{"observed_at":"2026-08-07T11:15:52.475372Z","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":"2026-08-07T11:15:52.647879Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:52.647879Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:9b6bf60ceaa9728b0e650e8c61efaf92c8232ea1685484acfcc375d0446ccfe6","observation_id":"ad16935c-ae90-4c88-bca4-ae3259d1c063","resolution":{"observed_at":"2026-08-07T11:15:52.647879Z","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":"2026-08-07T11:15:52.833585Z","title":"2010, , 81, 123530, 10.1103/PhysRevD.81.123530","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:52.833585Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:3d9effbe4706ea5c0500507401c84d52b8f0a550cadc8fbc03a0aa3146a05c3c","observation_id":"42183bcd-4f0b-4c49-9293-1df3ebc50a7f","resolution":{"observed_at":"2026-08-07T11:15:52.833585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00599","last_updated":"2024-03-01T15:23:01Z","snapshot_observed_at":"2026-08-09T03:00:31.396542Z","submitted_at":"2024-03-01T15:23:01Z","title":"A hands-on introduction to Physics-Informed Neural Networks for solving partial differential equations with benchmark tests taken from astrophysics and plasma physics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00599","snapshot_observed_at":"2026-08-07T11:15:52.904609Z","title":"2024, arXiv e-prints, arXiv:2403.00599, 10.48550/arXiv.2403.00599","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:52.904609Z"},"links":{"cited_paper":"/paper/2403.00599","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:2e376a1cf6d42e942df5ef80092129ae8c95d29b4cd1b0a20bcb37565c880004","observation_id":"8b25d2cb-9091-4ead-8683-1c13811b4688","resolution":{"observed_at":"2026-08-07T11:15:52.904609Z","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":"2026-08-07T11:15:52.996876Z","title":"G., Pearlmutter, B","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:52.996876Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:464a06a9de40630195f74a901207112e6043821340eb213f9c5ce754f8ebe1c4","observation_id":"fadf6b2b-fb42-439c-922b-e58b609a5dc9","resolution":{"observed_at":"2026-08-07T11:15:52.996876Z","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":"2026-08-07T11:15:53.084460Z","title":"2002, , 367, 1, 10.1016/S0370-1573(02)00135-7","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.084460Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:815c88afda522339d3efc182adfd75d731d1575c0a35021b6fcc0b1daba21ab2","observation_id":"f98312b7-b885-4d93-99e4-06d88fde3a57","resolution":{"observed_at":"2026-08-07T11:15:53.084460Z","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":"2026-08-07T11:15:53.175178Z","title":"2021, MNRAS, 509, 1323, 10.1093/mnras/stab3088","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.175178Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:56bc1c39b14c53d69590b372bb7f3d7de1e62bef37ff95398aa01169f6f02374","observation_id":"a5bc5a73-1d97-438f-98b5-656f029825b6","resolution":{"observed_at":"2026-08-07T11:15:53.175178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.20669","last_updated":"2024-09-11T11:08:12Z","snapshot_observed_at":"2026-08-08T11:40:09.366217Z","submitted_at":"2024-07-30T09:07:03Z","title":"A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.20669","snapshot_observed_at":"2026-08-07T11:15:53.250426Z","title":"2024, arXiv e-prints, arXiv:2407.20669, 10.48550/arXiv.2407.20669","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.250426Z"},"links":{"cited_paper":"/paper/2407.20669","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:48aedf91c66184ecaefdc56bbc37fad8ef87dedd7f6b85d43418d72e3918a1ea","observation_id":"0afec027-0ea2-4e73-a793-a79b9ba5fa1c","resolution":{"observed_at":"2026-08-07T11:15:53.250426Z","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":"2026-08-07T11:15:53.320024Z","title":"S., & Boylan-Kolchin , M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.320024Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:3c6e8bbae8d11930123f39a645f5a87246a90bd308ab1f06db57005f877f7de3","observation_id":"456eaf70-3fc7-4599-8978-cad09a84f625","resolution":{"observed_at":"2026-08-07T11:15:53.320024Z","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":"2026-08-07T11:15:53.397870Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.397870Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:e024df32a75d81e86890a1d808c602e1754e1175171e1aedb958b7c2b388ce3d","observation_id":"a84d00c4-9a50-47bc-8b88-dabdb633ce92","resolution":{"observed_at":"2026-08-07T11:15:53.397870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevresearch.6.013282","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:16:01.308892Z","title":"2024, Physical Review Research, 6, 013282, 10.1103/PhysRevResearch.6.013282","venue":null,"work_id":"4a538cc0-0d37-40cf-91c8-1a0fb70d428e","year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.464356Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:554c45175a78d4502dcb86d829a6ca230da27b8104584172388ed14362a0dadb","observation_id":"d95b61cf-565d-4412-a03e-3089248bbe29","resolution":{"observed_at":"2026-08-07T11:16:01.430833Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:15:53.546201Z","title":"2019, MNRAS, 490, 1055, 10.1093/mnras/stz2605","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.546201Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:f69c2456f1f48968a3dd1add655c09cc073afa69e63330c393542ea72dd4b598","observation_id":"60ccdcb8-debf-4dac-b1d1-de90a8b70942","resolution":{"observed_at":"2026-08-07T11:15:53.546201Z","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":"2026-08-07T11:15:53.611457Z","title":"H., et al","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.611457Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:dc52eecd4c4b75b7162b8cc41c70aff5f90d2ca61a3c7311598aa0161eb7d59d","observation_id":"ac66c31c-540d-484f-a002-d056e4e05f3f","resolution":{"observed_at":"2026-08-07T11:15:53.611457Z","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":"2026-08-07T11:15:53.679588Z","title":"2021, Proceedings of the National Academy of Sciences, 118, e2020324118, 10.1073/pnas.2020324118","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.679588Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:ee2019cb308bc78e8911c0e6da27cc77ecd056e6d91d0a3b3206c121ce1de0fb","observation_id":"e6ca4f89-61d0-4913-9fdb-6989456bda19","resolution":{"observed_at":"2026-08-07T11:15:53.679588Z","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":"2026-08-07T11:15:53.769892Z","title":"2020, Physics of the Dark Universe, 28, 100503, https://doi.org/10.1016/j.dark.2020.100503","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.769892Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:959e48163cb99cd438948282586a25518f66bb2cf1cf45588b99bf87531e99cb","observation_id":"bcc656fd-6224-41b5-8d5e-826cbf3d6696","resolution":{"observed_at":"2026-08-07T11:15:53.769892Z","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":"2026-08-07T11:15:53.843685Z","title":"2024, Computer Methods in Applied Mechanics and Engineering, 429, 117116, 10.1016/j.cma.2024.117116","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.843685Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:7c0e49acd91036a5df602845da82494a9b5d3d95d54a03b9329a4861d5bc9506","observation_id":"8265a642-fe63-4f99-b8c4-cf597c23df39","resolution":{"observed_at":"2026-08-07T11:15:53.843685Z","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":"2026-08-07T11:15:53.933554Z","title":"C., & B \\\"u rger , D","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:53.933554Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:81162094d567f1a710da84135e5fa877a24eafc41832c6b02fac899730edca34","observation_id":"cc6a373d-1784-495e-afc4-33ceb9161279","resolution":{"observed_at":"2026-08-07T11:15:53.933554Z","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":"2026-08-07T11:15:54.028807Z","title":"S., & White , S","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.028807Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:3b7fa48a92b9603df7be0f1afce6e209971210d99ecd75820d63c7e17b8d22ef","observation_id":"f040dd89-9f1f-4f98-a205-457b5e908308","resolution":{"observed_at":"2026-08-07T11:15:54.028807Z","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":"2026-08-07T11:15:54.121277Z","title":"2010, in Proceedings of Machine Learning Research, Vol","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.121277Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:fdf582f4b3fcdd2877db5c5da8b92cbb8de0fd652e66b57e6e367638fa5273c0","observation_id":"7f2a134e-2c4b-435a-81ee-b43dc9259062","resolution":{"observed_at":"2026-08-07T11:15:54.121277Z","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":"2026-08-07T11:15:54.201631Z","title":"2019, Proceedings of the National Academy of Sciences, 116, 13825, 10.1073/pnas.1821458116","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.201631Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:a7cf36379ea64640291aa89d2159b3f4286c8ef96e04b92e20eccb1d78bea13c","observation_id":"fc8c86ee-759c-457b-b9f3-5cf9e2b7bfaf","resolution":{"observed_at":"2026-08-07T11:15:54.201631Z","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":"2026-08-07T11:15:54.298353Z","title":"G., Geiger, B","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.298353Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:8923cab210f493cd00f254d14affe0f72e3adf69ed930b2d72f630db2e9c8384","observation_id":"5f4182da-b3d7-45a7-9ecc-fad07644c454","resolution":{"observed_at":"2026-08-07T11:15:54.298353Z","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":"2026-08-07T11:15:54.384756Z","title":"2000, Phys","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.384756Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:2ea8fa800001530431a062a5319479f355dfa2d91dc80e45b1f1ea90744936b5","observation_id":"ea817143-3681-4eff-b6e1-450d2d0b2a5c","resolution":{"observed_at":"2026-08-07T11:15:54.384756Z","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":"2026-08-07T11:15:54.481526Z","title":"2021, , 59, 247, 10.1146/annurev-astro-120920-010024","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.481526Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:30eb58ebfaf81de2a1f702c62ccc9324437dc7e99c6742beead8f0d935d2f5b5","observation_id":"7a6563b6-5d42-40c1-b158-0ce476946993","resolution":{"observed_at":"2026-08-07T11:15:54.481526Z","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":"2026-08-07T11:15:54.570840Z","title":"P., Tremaine , S., & Witten , E","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.570840Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:fa91fd71f36b248c8b2c0597f31833f925e27c77355fe3dff2af2c37487b5584","observation_id":"4180a032-6980-44a5-8c7a-c1ce57575621","resolution":{"observed_at":"2026-08-07T11:15:54.570840Z","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":"2026-08-07T11:15:54.663331Z","title":"D., Mao , Z., Adams , N., & Karniadakis , G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.663331Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:da767f01d2e68c4994e4cd314efebf9548e7827c88290f409a42a43a12ff8eb2","observation_id":"3861470f-cf32-4884-84c1-865e5cf68d8e","resolution":{"observed_at":"2026-08-07T11:15:54.663331Z","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":"2026-08-07T11:15:54.775953Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.775953Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:b13353913e99b20e9f3e577b8f650a16d20a68031a688d5ce5989dc3b2a71cb3","observation_id":"b428e5f9-a184-42af-9207-0d5e8e58c5e8","resolution":{"observed_at":"2026-08-07T11:15:54.775953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.00186","last_updated":"2020-12-01T00:36:53Z","snapshot_observed_at":"2026-08-08T15:50:25.005861Z","submitted_at":"2020-12-01T00:36:53Z","title":"dm2gal: Mapping Dark Matter to Galaxies with Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.00186","snapshot_observed_at":"2026-08-07T11:15:54.866457Z","title":"2020, in 34th Conference on Neural Information Processing Systems","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.866457Z"},"links":{"cited_paper":"/paper/2012.00186","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:4084c30cafaed03b24c3fc4b4881b48de7b19c146fe435bd4ab0f48ee7ef5147","observation_id":"60ba9c69-9f02-4337-8276-8296aa148aa0","resolution":{"observed_at":"2026-08-07T11:15:54.866457Z","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":"2026-08-07T11:15:54.956136Z","title":"2022, The Astrophysical Journal, 930, 115, 10.3847/1538-4357/ac5c4a","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:54.956136Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:a086c7e7be040cd526798e47226b66a5c15bba9bbcc631fd410dfc862d7a2454","observation_id":"13a31789-6756-4b91-8839-c25954102493","resolution":{"observed_at":"2026-08-07T11:15:54.956136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.02681","last_updated":"2020-12-04T15:53:06Z","snapshot_observed_at":"2026-08-06T06:31:24.217235Z","submitted_at":"2020-12-04T15:53:06Z","title":"DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.02681","snapshot_observed_at":"2026-08-07T11:15:55.077224Z","title":"Y., & Park , N","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.077224Z"},"links":{"cited_paper":"/paper/2012.02681","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:7c09f9d8e6502beab759735bf170e28134c8d80ca5230b1652be6fc0d7074f61","observation_id":"6dc97890-ea9e-4a4c-904c-7343e0fa4900","resolution":{"observed_at":"2026-08-07T11:15:55.077224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T11:15:55.169024Z","title":"P., & Ba , J","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.169024Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:9218ff7c5cb5afc6e3ecee4795bf2548b9b3ff4f4afdac0d911a9c31e9b59060","observation_id":"8390e407-fe01-48a6-bb92-cd735404734a","resolution":{"observed_at":"2026-08-07T11:15:55.169024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.13803","last_updated":"2023-03-09T12:50:44Z","snapshot_observed_at":"2026-07-06T13:46:33.740204Z","submitted_at":"2022-08-29T18:00:06Z","title":"PINION: Physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization","version":2},"cited_work":{"arxiv_id":"2208.13803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.13803","snapshot_observed_at":"2026-08-07T11:16:02.604692Z","title":"PINION: Physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization","venue":"astro-ph.CO","work_id":"107057c1-faf9-44ff-8e28-db2f9a27ca24","year":2022},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.262089Z"},"links":{"cited_paper":"/paper/2208.13803","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:419cddba2310adbac79548c22f364bfc457858bc4979e628045cbaa4d1d5b7ce","observation_id":"0ee36f54-3814-424a-b10c-62a0132cef81","resolution":{"observed_at":"2026-08-07T11:16:02.643084Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12312","last_updated":"2023-08-23T07:00:56Z","snapshot_observed_at":"2026-07-06T16:09:39.752883Z","submitted_at":"2023-08-23T07:00:56Z","title":"Physics informed Neural Networks applied to the description of wave-particle resonance in kinetic simulations of fusion plasmas","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12312","snapshot_observed_at":"2026-08-07T11:15:55.408967Z","title":"2023, arXiv e-prints, arXiv:2308.12312, 10.48550/arXiv.2308.12312","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.408967Z"},"links":{"cited_paper":"/paper/2308.12312","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:34b97176a6f914f1e29161a18706fa1d113d6d569ffd5abb6125a2d882f1adcf","observation_id":"c1d89cb2-f681-441e-a6e9-5507b6c19ffa","resolution":{"observed_at":"2026-08-07T11:15:55.408967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17288","last_updated":"2025-06-29T15:55:42Z","snapshot_observed_at":"2026-07-06T19:57:10.411888Z","submitted_at":"2024-11-26T10:20:35Z","title":"A Hybrid Scheme for Fuzzy Dark Matter Simulations Combining the Schr\\\"odinger and Hamilton-Jacobi-Madelung Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17288","snapshot_observed_at":"2026-08-07T11:15:55.504185Z","title":"Y., Schive , H.-Y., Huang , H., & Liao , P.-Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.504185Z"},"links":{"cited_paper":"/paper/2411.17288","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:7c5595242b61df2974056cf6b6abacb7b4b4ec1fb40b09f75ae212056c1fbe39","observation_id":"29eca031-c69e-4c93-9608-2598f835aacd","resolution":{"observed_at":"2026-08-07T11:15:55.504185Z","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":"2026-08-07T11:15:55.657094Z","title":"2015, Nature, 521, 436, 10.1038/nature14539","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.657094Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:1ef5d69953db58c6120cd5e5f23c81d64278cdc9e920b7b0436bc2ece4237483","observation_id":"f4635a57-05b4-4da9-ad08-3908cd76d15b","resolution":{"observed_at":"2026-08-07T11:15:55.657094Z","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":"2026-08-07T11:15:55.785487Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.785487Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:2339d83f1f65194ca780b3915ef3a6149efe34a5e8b3ba61110e83e411ac989e","observation_id":"542ed473-e655-4be2-9326-a634ba616c1d","resolution":{"observed_at":"2026-08-07T11:15:55.785487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevd.111.023535","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:16:00.969469Z","title":"2025, , 111, 023535, 10.1103/PhysRevD.111.023535","venue":null,"work_id":"72bb1709-a2db-4b08-addc-8dc489f1c20d","year":2025},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.882226Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:a0a5da4471da3de8a65259a9c163971292b7026b553580bee6734c10536dcce7","observation_id":"13ba3832-0d36-4ef0-a793-a86ddbcfdc82","resolution":{"observed_at":"2026-08-07T11:16:01.074600Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:15:55.976777Z","title":"1927, Zeitschrift fur Physik, 40, 322, 10.1007/BF01400372","venue":null,"work_id":null,"year":1927},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:55.976777Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:372e1f29680b43e6fc41950ee5f7c4d95987b5eb60d02cf8ce79cb8b049e3e4e","observation_id":"43b8598e-11a4-466c-bc06-7c7976cb4cdc","resolution":{"observed_at":"2026-08-07T11:15:55.976777Z","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":"2026-08-07T11:15:56.045950Z","title":"D., & Karniadakis , G","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.045950Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:ddd823672793312f0bc0abe15ae597e7449fd8b56b82de00c7781b88d508785c","observation_id":"db169911-c3ad-45d7-9af7-f9393b7bb20c","resolution":{"observed_at":"2026-08-07T11:15:56.045950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.07633","last_updated":"2016-06-15T09:26:10Z","snapshot_observed_at":"2026-07-06T04:34:18.606343Z","submitted_at":"2015-10-26T20:14:39Z","title":"Axion Cosmology","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.07633","snapshot_observed_at":"2026-08-07T11:15:56.165068Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.165068Z"},"links":{"cited_paper":"/paper/1510.07633","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:53f543390ebc9146d51de4a092023353322a67f24f75a5ab517d57c4c6f4482a","observation_id":"24deb38c-6067-4706-bc0f-905cea419bfc","resolution":{"observed_at":"2026-08-07T11:15:56.165068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10011","last_updated":"2025-08-26T13:58:56Z","snapshot_observed_at":"2026-08-08T02:53:20.689318Z","submitted_at":"2024-08-19T14:05:28Z","title":"PinnDE: Physics-Informed Neural Networks for Solving Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10011","snapshot_observed_at":"2026-08-07T11:15:56.220918Z","title":"2024, arXiv e-prints, arXiv:2408.10011, 10.48550/arXiv.2408.10011","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.220918Z"},"links":{"cited_paper":"/paper/2408.10011","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:ef4ef4dbd9271e10bd0379ae31cc29c408058a97c8ec1d958f363cf6ee3ba541","observation_id":"9de7811f-8530-4a61-b776-6bee576adc88","resolution":{"observed_at":"2026-08-07T11:15:56.220918Z","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":"2026-08-07T11:15:56.278977Z","title":"2021, , 506, 2603, 10.1093/mnras/stab1764","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.278977Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:58d6086f58be8754282a18b6870eee263de1d0fce9bb990515fdd469fff5eab1","observation_id":"fa1f2bbd-9c3e-448f-a7dd-4eed68f9d8bf","resolution":{"observed_at":"2026-08-07T11:15:56.278977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.04119","last_updated":"2020-07-08T13:39:40Z","snapshot_observed_at":"2026-08-03T17:28:58.838932Z","submitted_at":"2020-07-08T13:39:40Z","title":"Solitons in the dark: non-linear structure formation with fuzzy dark matter","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.04119","snapshot_observed_at":"2026-08-07T11:15:56.378652Z","title":"F., & Winther , H","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.378652Z"},"links":{"cited_paper":"/paper/2007.04119","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:aca42ed565902ce5451e3606c16a6191401bc9f94266ff62d851eb7f38b3489e","observation_id":"3ad3a192-ab36-434f-8301-92acf6f05079","resolution":{"observed_at":"2026-08-07T11:15:56.378652Z","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":"2026-08-07T11:15:56.464886Z","title":"2021, Journal of Quantitative Spectroscopy and Radiative Transfer, 270, 107705, https://doi.org/10.1016/j.jqsrt.2021.107705","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.464886Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:17dc256fde5a62213d7f15343dfd808afc57e05265e41bca018afa9cbc58472b","observation_id":"63b4a602-d080-4413-b945-fb57fbf9c1bd","resolution":{"observed_at":"2026-08-07T11:15:56.464886Z","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":"2026-08-07T11:15:56.526418Z","title":"2024, Symmetry, 16, 201, 10.3390/sym16020201","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.526418Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:8449a9e6f15d09e7c002d0b552bd5b60871303215b322b56cfc6326f848b9e05","observation_id":"3dc96702-eaea-456d-a78f-376fa60e8dd2","resolution":{"observed_at":"2026-08-07T11:15:56.526418Z","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":"2026-08-07T11:15:56.577909Z","title":"2018, , 97, 083519, 10.1103/PhysRevD.97.083519","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.577909Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:be40932fa209f713ffd4979d50ac4d77b5adfd8b99011b421cbb72688e8b6e63","observation_id":"e8b38690-985e-4a39-bdbb-807e100940c8","resolution":{"observed_at":"2026-08-07T11:15:56.577909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3847/1538-4357/abe6ac","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:16:00.684876Z","title":"2021, , 910, 29, 10.3847/1538-4357/abe6ac","venue":null,"work_id":"af43049f-504b-43b7-b543-20fd4da13044","year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.673521Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:0a8ef9a2fa0bd05197567280d9cb40a46a43760a993bdda9c3e3a388122f250d","observation_id":"bb349069-4686-43d5-9810-879186bc3b40","resolution":{"observed_at":"2026-08-07T11:16:00.819674Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:15:56.739633Z","title":"H., et al","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.739633Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:ffbcfe45071a5ce5e074da116c89b962664ae0b3a731c48e8e05367270eaa4ca","observation_id":"082fea78-ca79-46ef-9547-26ea9b0eaeab","resolution":{"observed_at":"2026-08-07T11:15:56.739633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.04304","last_updated":"2021-09-09T14:30:28Z","snapshot_observed_at":"2026-08-08T01:27:00.131910Z","submitted_at":"2021-09-09T14:30:28Z","title":"DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.04304","snapshot_observed_at":"2026-08-07T11:15:56.816786Z","title":"2021, arXiv e-prints, arXiv:2109.04304, 10.48550/arXiv.2109.04304","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.816786Z"},"links":{"cited_paper":"/paper/2109.04304","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:81f3c1528a8006a19502fef5039cdf3cabc5f38bd153f632e1cc5e9a8f6a9c09","observation_id":"2ee48486-3b62-4ee1-901a-5e8017dee0af","resolution":{"observed_at":"2026-08-07T11:15:56.816786Z","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":"2026-08-07T11:15:56.901516Z","title":"2015, Neural Networks and Deep Learning (Determination Press)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.901516Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:e9d74b97a77319284aeeb542489fed136b845a508c6695471d858565012b6e05","observation_id":"1487f532-cb7c-4e65-877b-61a8b368ce81","resolution":{"observed_at":"2026-08-07T11:15:56.901516Z","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":"2026-08-07T11:15:56.994026Z","title":"1980, Mathematics of Computation, 35, 773","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:56.994026Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:450bb18062003a61402069422f7f7cddfc9c5065dc4d8ec5003493d3ac8e9899","observation_id":"cd460928-f413-49ef-ad03-e251a6027a4f","resolution":{"observed_at":"2026-08-07T11:15:56.994026Z","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":"2026-08-07T11:15:57.064789Z","title":"2018, , 478, 3935, 10.1093/mnras/sty1224","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.064789Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:82ed2de435c2053d922ad23c4e0418bf151272f8c46ea080179aa27d5252b998","observation_id":"2f343fc7-6483-4c6f-a394-6bff578df996","resolution":{"observed_at":"2026-08-07T11:15:57.064789Z","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":"2026-08-07T11:15:57.145627Z","title":"A., Navarro , J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.145627Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:d4415b1924733b3766c74c041cc0cc690a8716f8b7cd7c53f237dddd0a81c3bc","observation_id":"2e3255bb-d68b-4d3e-bea7-9cc009d5a318","resolution":{"observed_at":"2026-08-07T11:15:57.145627Z","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":"2026-08-07T11:15:57.230062Z","title":"2022, Universe, 8, 76, 10.3390/universe8020076","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.230062Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:b1097144f88d746a372c7ad36727182212d736c16851e7ec56b2bd309e9f8229","observation_id":"5787401b-2a06-4c90-8d98-f75997b2cd49","resolution":{"observed_at":"2026-08-07T11:15:57.230062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-07T11:15:57.303812Z","title":"2019, arXiv e-prints, arXiv:1912.01703, 10.48550/arXiv.1912.01703","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.303812Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:0513ce746ae848057e93d15a294f4fcf0f57b5a389955ee8621182dd45fe33ec","observation_id":"3f20eede-d4f9-4e7f-9178-6f469419c538","resolution":{"observed_at":"2026-08-07T11:15:57.303812Z","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":"2026-08-07T11:15:57.415197Z","title":"D., & Quinn, H","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.415197Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:558836395a9461031753b3a8e05346fcee7c0fda7e464b1af1428bb00cd4a3b6","observation_id":"31272196-dac5-41ee-bf27-0efb9e06463d","resolution":{"observed_at":"2026-08-07T11:15:57.415197Z","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":"2026-08-07T11:15:57.596084Z","title":"2020, , 641, A6, 10.1051/0004-6361/201833910","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.596084Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:95a404f2a3e5bb3a05dfea1f11cd51cd4ade63f64e9058b2b209131eff5e99d2","observation_id":"5cb6b8c9-0f12-455d-b3d4-509151f7c4db","resolution":{"observed_at":"2026-08-07T11:15:57.596084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.08734","last_updated":"2019-05-31T13:45:08Z","snapshot_observed_at":"2026-08-02T06:24:21.199176Z","submitted_at":"2018-06-22T15:39:05Z","title":"On the Spectral Bias of Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.08734","snapshot_observed_at":"2026-08-07T11:15:57.724446Z","title":"2018, arXiv e-prints, arXiv:1806.08734, 10.48550/arXiv.1806.08734","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.724446Z"},"links":{"cited_paper":"/paper/1806.08734","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:35a0aa33e5f7579a7bf921634b1421bd9f72f1c3d8a0f85172850e1422b5e2ff","observation_id":"a491a401-f7d5-4053-a143-a09aff632bf9","resolution":{"observed_at":"2026-08-07T11:15:57.724446Z","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":"2026-08-07T11:15:57.869982Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.869982Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:b94624f523399855a6aa7a48458064acf593b7ff0c7018ea18538284322914ab","observation_id":"3cee0267-6dd7-49af-a592-f1236d9a8b09","resolution":{"observed_at":"2026-08-07T11:15:57.869982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.04327","last_updated":"2018-08-13T16:37:56Z","snapshot_observed_at":"2026-07-06T06:55:27.331336Z","submitted_at":"2018-08-13T16:37:56Z","title":"Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.04327","snapshot_observed_at":"2026-08-07T11:15:57.960014Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:57.960014Z"},"links":{"cited_paper":"/paper/1808.04327","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:df9aae3c83065d37c790d9cbf8a1ba4bf331f0c5360ed5dfc560cd600849cd30","observation_id":"08b29e2a-df96-494a-983c-dd7a6d5e5af8","resolution":{"observed_at":"2026-08-07T11:15:57.960014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01868","last_updated":"2024-06-03T23:35:42Z","snapshot_observed_at":"2026-07-06T17:24:37.090243Z","submitted_at":"2024-02-02T19:46:43Z","title":"Challenges in Training PINNs: A Loss Landscape Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01868","snapshot_observed_at":"2026-08-07T11:15:58.021686Z","title":"2024, arXiv e-prints, arXiv:2402.01868, 10.48550/arXiv.2402.01868","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.021686Z"},"links":{"cited_paper":"/paper/2402.01868","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:9d7542e0186e65785676bf74a30b8ebfc7f8f38922323b6bb8970a21319337e6","observation_id":"eb40ac2d-761d-47bf-92eb-577ee1ccb36c","resolution":{"observed_at":"2026-08-07T11:15:58.021686Z","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":"2026-08-07T11:15:58.097312Z","title":"2024, Physics of Fluids, 36, 036129, 10.1063/5.0200384","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.097312Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:b06e92645897db9b119dc2e8247f7752f86831e9eb4fb8a749d453dfd7ddb974","observation_id":"522c4b38-5c2b-4189-9c57-e9903342149d","resolution":{"observed_at":"2026-08-07T11:15:58.097312Z","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":"2026-08-07T11:15:58.197075Z","title":"T., Singh, S., & Guestrin, C","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.197075Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:8c093febca2c9fb1f98bf4d7ed1f9b778662f47257a9868e11a15ef98d94262f","observation_id":"55c4cf4d-5bb6-43fd-9eb4-4a3e2fc9568a","resolution":{"observed_at":"2026-08-07T11:15:58.197075Z","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":"2026-08-07T11:15:58.283030Z","title":"G., Filippenko , A","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.283030Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:fa0be9ca275dfeb4d64450128069c182f37526181d68774507ad1cc6387070d2","observation_id":"06569a6b-eac4-4c77-9dcd-42258286a980","resolution":{"observed_at":"2026-08-07T11:15:58.283030Z","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":"2026-08-07T11:15:58.353045Z","title":"C., Ford , Jr., W","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.353045Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:0468de78a13e9eb9c7ca4a7351efff3f740a5033989872fd756c08f01fbc918a","observation_id":"ae915ed2-012a-4a77-a160-65084985e685","resolution":{"observed_at":"2026-08-07T11:15:58.353045Z","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":"2026-08-07T11:15:58.435315Z","title":"V., Wetzel , A., & Fattahi , A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.435315Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:4f648588fb82a23e24e999967f387df817896fbbf9d75dea1759b8929d22df54","observation_id":"dddbbd33-98dc-4c89-9e72-0386a7567fda","resolution":{"observed_at":"2026-08-07T11:15:58.435315Z","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":"2026-08-07T11:15:58.505038Z","title":"G., Sc \\'o ccola , C","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.505038Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:273932e3962d03bf78e6b7cb3dc0f7293585eb361db494acc14024f63ab98dd6","observation_id":"44c8270b-4add-4ea5-924f-9933d8f8d852","resolution":{"observed_at":"2026-08-07T11:15:58.505038Z","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":"2026-08-07T11:15:58.581387Z","title":"2014, Nature Physics, 10, 496, 10.1038/nphys2996","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.581387Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:5f3f7268b54a156307a14fd2acd614ca2c5b00783b7499049e1f9d9a9ba50154","observation_id":"9f819db7-5cfe-4703-b8b1-918f45c27ff8","resolution":{"observed_at":"2026-08-07T11:15:58.581387Z","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":"2026-08-07T11:15:58.670669Z","title":"2016, , 818, 89, 10.3847/0004-637X/818/1/89","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.670669Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:0d5cddf034ef5eb5122c5d375260c5e2f57bee164117267545cc7cfacf6c5741","observation_id":"39fcdb3c-ed83-4193-a128-17e38ac47190","resolution":{"observed_at":"2026-08-07T11:15:58.670669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06650","last_updated":"2024-08-13T05:42:14Z","snapshot_observed_at":"2026-08-07T07:24:12.252375Z","submitted_at":"2024-08-13T05:42:14Z","title":"Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06650","snapshot_observed_at":"2026-08-07T11:15:58.751943Z","title":"2024, arXiv e-prints, arXiv:2408.06650, 10.48550/arXiv.2408.06650","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.751943Z"},"links":{"cited_paper":"/paper/2408.06650","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:13510f86896bb9536bd0a9bcead01d7d4cb682635c9a8d9fe654cae6940a2345","observation_id":"0927470b-5bba-4ff6-90b1-6a64ddf4a209","resolution":{"observed_at":"2026-08-07T11:15:58.751943Z","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":"2026-08-07T11:15:58.834836Z","title":"2021, Reviews of Modern Physics, 93, 015004, 10.1103/RevModPhys.93.015004","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.834836Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:e1aa7361156eee48d838fe015c174099e4ca8056a0f3c10ffdf1fbc65366c6b8","observation_id":"4cbf96f6-c52f-4cd8-8adc-9b3ee3bd4eb9","resolution":{"observed_at":"2026-08-07T11:15:58.834836Z","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":"2026-08-07T11:15:58.905255Z","title":"2022, Phys","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:58.905255Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:937bd8b7aae84354cafcb38633c145c772e31f95b3d9d790de1b2db8a0375a70","observation_id":"b7ba01de-9a4f-4793-9846-0da4f94764ad","resolution":{"observed_at":"2026-08-07T11:15:58.905255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.09661","last_updated":"2020-06-17T05:13:33Z","snapshot_observed_at":"2026-08-07T00:02:53.830267Z","submitted_at":"2020-06-17T05:13:33Z","title":"Implicit Neural Representations with Periodic Activation Functions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.09661","snapshot_observed_at":"2026-08-07T11:15:59.016079Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.016079Z"},"links":{"cited_paper":"/paper/2006.09661","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:a9cf058b33e7a84f586d447ec220e0407fd50dee5b55b987ae2d1791fa444f3a","observation_id":"305eef36-88dc-47d0-8120-cd0ca5439f1c","resolution":{"observed_at":"2026-08-07T11:15:59.016079Z","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":"2026-08-07T11:15:59.106801Z","title":"2020, Computer Methods in Applied Mechanics and Engineering, 361, 112732, 10.1016/j.cma.2019.112732","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.106801Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:426949422925bfe602f5c534d9097557a289d13899ab2eee87388b912a2bc4b9","observation_id":"9d25c6a9-6e18-4554-bc11-b4b9d93a941e","resolution":{"observed_at":"2026-08-07T11:15:59.106801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10739","last_updated":"2020-06-18T17:59:11Z","snapshot_observed_at":"2026-07-06T09:30:32.320227Z","submitted_at":"2020-06-18T17:59:11Z","title":"Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10739","snapshot_observed_at":"2026-08-07T11:15:59.200209Z","title":"P., Mildenhall , B., et al","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.200209Z"},"links":{"cited_paper":"/paper/2006.10739","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:a61a2e25221bbd5679f01170492fb12d60f27c13dbef0847c977b0db13a54d1a","observation_id":"492c8ec2-fb6d-4b53-bd00-d621cc37557a","resolution":{"observed_at":"2026-08-07T11:15:59.200209Z","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":"2026-08-07T11:15:59.316779Z","title":null,"venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.316779Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:021ca370474d82a0ebfb19c7284ed1d70017122160f58a057e1632a1220a9815","observation_id":"a4b1a95c-2f3d-4f90-b336-384ba98c6fc2","resolution":{"observed_at":"2026-08-07T11:15:59.316779Z","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":"2026-08-07T11:15:59.391018Z","title":"2021, SIAM Journal on Scientific Computing, 43, A3055, 10.1137/20M1318043","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.391018Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:dd2c1458757983894a7e2d693c50bccf0f725058e76b2ef74d9d11a1eec17de1","observation_id":"c9fd57b4-3097-4de3-b457-5eec249490b8","resolution":{"observed_at":"2026-08-07T11:15:59.391018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.14527","last_updated":"2020-07-28T23:44:56Z","snapshot_observed_at":"2026-08-09T01:10:13.707983Z","submitted_at":"2020-07-28T23:44:56Z","title":"When and why PINNs fail to train: A neural tangent kernel perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.14527","snapshot_observed_at":"2026-08-07T11:15:59.456896Z","title":"2020, arXiv e-prints, arXiv:2007.14527, 10.48550/arXiv.2007.14527","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.456896Z"},"links":{"cited_paper":"/paper/2007.14527","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:762124d89a12658c4713d232f6d458ce4b40f5ab6317540cf1433b6aa4ef03b1","observation_id":"902dbdd1-c241-4ff5-ba40-5c7cd1cddb1c","resolution":{"observed_at":"2026-08-07T11:15:59.456896Z","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":"2026-08-07T11:15:59.532105Z","title":"H., Bullock , J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.532105Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:f8907e9524cf8d17b8aefe4d1f6bd3a2222cf192e42824a320049b7042f17018","observation_id":"0b8b08fe-67cc-48ce-9e86-809726703259","resolution":{"observed_at":"2026-08-07T11:15:59.532105Z","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":"2026-08-07T11:15:59.614235Z","title":null,"venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.614235Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:16c7a63329eebd1cee883e06f20a2c12686a0cee17ac6316a49dc0ca2bfcd727","observation_id":"6b6158ae-f20a-4fb3-be98-4c666d4ab212","resolution":{"observed_at":"2026-08-07T11:15:59.614235Z","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":"2026-08-07T11:15:59.708966Z","title":"1969, SIAM Review, 11, 226, 10.1137/1011036","venue":null,"work_id":null,"year":1969},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.708966Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:9c051997dd9a3eb772036fcd4d465e1bda135121cab64a5fccc8cf4959609a8c","observation_id":"c90c5969-3c71-4755-9fdc-b8e6bc503e0f","resolution":{"observed_at":"2026-08-07T11:15:59.708966Z","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":"2026-08-07T11:15:59.780964Z","title":"1971, SIAM Review, 13, 185, 10.1137/1013035","venue":null,"work_id":null,"year":1971},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.780964Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:7be49f1f1490bf769681e3966f2fc4bdbc17b37b306a519ed57e8709669f614f","observation_id":"9dd2c8cb-3c54-4102-84c0-5074a1202ab3","resolution":{"observed_at":"2026-08-07T11:15:59.780964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.09338","last_updated":"2022-03-14T13:46:30Z","snapshot_observed_at":"2026-08-06T19:43:59.077572Z","submitted_at":"2021-09-20T07:42:41Z","title":"Learning in Sinusoidal Spaces with Physics-Informed Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.09338","snapshot_observed_at":"2026-08-07T11:15:59.868391Z","title":"C., Ooi , C., Gupta , A., & Ong , Y.-S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.868391Z"},"links":{"cited_paper":"/paper/2109.09338","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:490bdeb5bc4f3f41209b3e7aa3b42d8b5a871e5848cc2c4fb347d6c81b7c2889","observation_id":"23b6bf8f-b267-4b6c-8d56-f6d903480261","resolution":{"observed_at":"2026-08-07T11:15:59.868391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00803","last_updated":"2025-05-17T15:44:40Z","snapshot_observed_at":"2026-08-09T00:57:21.662206Z","submitted_at":"2025-02-02T13:56:38Z","title":"ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00803","snapshot_observed_at":"2026-08-07T11:15:59.932121Z","title":"2025, arXiv e-prints, arXiv:2502.00803, 10.48550/arXiv.2502.00803","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-07T11:15:59.932121Z"},"links":{"cited_paper":"/paper/2502.00803","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:2b0e5fb154e1be49a6bf89da845555aabd292f85a02f5d818be518e99178b664","observation_id":"5903e98b-b358-4b94-84c2-77c62df59d86","resolution":{"observed_at":"2026-08-07T11:15:59.932121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00318","last_updated":"2025-08-16T03:07:17Z","snapshot_observed_at":"2026-08-03T11:01:49.131399Z","submitted_at":"2025-02-01T04:55:01Z","title":"Sub-Sequential Physics-Informed Learning with State Space Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00318","snapshot_observed_at":"2026-08-07T11:16:00.005795Z","title":"2025, arXiv e-prints, arXiv:2502.00318, 10.48550/arXiv.2502.00318","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-07T11:16:00.005795Z"},"links":{"cited_paper":"/paper/2502.00318","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:c361e5e8c27d7d375bfd56fbd6fe2fbaeda9d27874fa51964ca7d6d4a87e663f","observation_id":"b13efeb8-4952-4e41-94b4-5944266f9907","resolution":{"observed_at":"2026-08-07T11:16:00.005795Z","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":"2026-08-07T11:16:00.075063Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-07T11:16:00.075063Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:debd5405698455e68971cf7347caf3e9652dec54370bc5d62ab4683f689e670f","observation_id":"bdf7a163-4dcf-4230-b81a-98f9b010ad1d","resolution":{"observed_at":"2026-08-07T11:16:00.075063Z","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":"2024.11328","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:16:01.932406Z","title":"2024, Journal of Computational Physics, 515, 113284, https://doi.org/10.1016/j.jcp.2024.113284","venue":null,"work_id":"f8c53349-6eb9-43e7-b075-a7f335800dac","year":2024},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-07T11:16:00.132206Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:81dd640e272746ce20a899a1c306cc1a138f0f4c3899a5a739a9e284401a34e6","observation_id":"b8018ee2-96ae-4506-aa1c-a936e625ae4a","resolution":{"observed_at":"2026-08-07T11:16:02.046814Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:16:00.240788Z","title":"2018, Frontiers in Astronomy and Space Sciences, 5, 48, 10.3389/fspas.2018.00048","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-07T11:16:00.240788Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:f90fc4000c6e5e65f1891a9497858fd7b1bdf2bd6ff4270f86e25b400764cc71","observation_id":"d0ac9153-f18e-4766-bc0c-3aaa8a645ebb","resolution":{"observed_at":"2026-08-07T11:16:00.240788Z","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":"2026-08-07T11:16:00.345450Z","title":"H., Mo, H","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-07T11:16:00.345450Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:91c475c1edf831d51fd993b0dcb53aa601771767a712cc7b5cc62d8f0da047d4","observation_id":"d865d790-05fc-4a4e-b382-4c3fe35b03c0","resolution":{"observed_at":"2026-08-07T11:16:00.345450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.11833","last_updated":"2024-05-07T14:04:16Z","snapshot_observed_at":"2026-07-06T15:57:08.701922Z","submitted_at":"2023-07-21T18:06:27Z","title":"PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.11833","snapshot_observed_at":"2026-08-07T11:16:00.431695Z","title":"2023, arXiv e-prints, arXiv:2307.11833, 10.48550/arXiv.2307.11833","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-07T11:16:00.431695Z"},"links":{"cited_paper":"/paper/2307.11833","citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:41869f578f2d699785f9f1bf5dfeea1e22e8439d1e293b73e10e5861b424cfb5","observation_id":"0f90cf8b-b2cf-44bf-8c28-70f1962c67a3","resolution":{"observed_at":"2026-08-07T11:16:00.431695Z","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":"2026-08-07T11:16:00.434563Z","title":"2019, Journal of Computational Physics, 394, 56, 10.1016/j.jcp.2019.05.024","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-07T11:16:00.434563Z"},"links":{"citing_paper":"/paper/2506.02957"},"observation_digest":"sha256:a89e897655b9233a0f79b10325f7b84276650106134d5826c8d23a3c10947b55","observation_id":"6ecbc6f0-ff3d-4ed7-97dc-89a7bdc2e991","resolution":{"observed_at":"2026-08-07T11:16:00.434563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.02957","last_updated":"2025-06-03T14:49:44Z","latest_version":1,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-08-08T04:34:35.573269Z","submitted_at":"2025-06-03T14:49:44Z","title":"SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks"},"reference_resolution":{"displayed":90,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":85,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":90},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 1 inbound Pith citation observation for arXiv:2506.02957."}