{"as_of":"2026-08-20T22:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:782541a02bee66d26e641e9e3c9eeee319e2040f95d556929a6591666bab2bd2","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T14:21:57.465342Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.28217/citation-record","integrity":"/paper/2607.28217/integrity","json":"/paper/2607.28217/citation-record.json","paper":"/paper/2607.28217"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T14:21:57.200645Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.200645Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:daca74f8740b78f690c573fcb5eb5fd50a04e90fedc08b3f366fb52f1ce168c2","observation_id":"3c227d38-da67-436b-b6b3-780f338b52ce","resolution":{"observed_at":"2026-07-31T14:21:57.200645Z","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":"2026-07-31T14:21:57.212859Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.212859Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:6d9b15a2f4047ed4229983cc8a95a23149cb060e91cdde75f0bc468a2966175b","observation_id":"09dbbaed-5736-4abd-9924-de9663c35fe1","resolution":{"observed_at":"2026-07-31T14:21:57.212859Z","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":"2026-07-31T14:21:57.268739Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.268739Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:38e3fdc90da0f1985f5c0e54551903fe4283d21bec4701c8a97da5fef59bd49a","observation_id":"acf0fd77-c213-49a7-97fa-0118e8f1e000","resolution":{"observed_at":"2026-07-31T14:21:57.268739Z","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":"2026-07-31T14:21:57.291284Z","title":"and Vaerewyck, M., ``Evolved structures guide for gsfc applications rev b,'' (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.291284Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:e85d75d547b9b24f181f45d9266ded4c3934e7a43492fd34f4e1d70c6eda2a29","observation_id":"97774e43-cf67-4b87-b085-0637fd448e93","resolution":{"observed_at":"2026-07-31T14:21:57.291284Z","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":"2026-07-31T14:21:57.298850Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.298850Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:d86a9eb7d1216cdcb8dd5cf3e499aeb3d0dcec7169e5dcd573d17dd2ad95edc5","observation_id":"2bef9d3a-693b-4596-9822-055c9dab6942","resolution":{"observed_at":"2026-07-31T14:21:57.298850Z","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":"2026-07-31T14:21:57.308172Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.308172Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:8179a79b90aa48d52b6a1c86e17e2048a0d6d67b0a470db18af74544af852807","observation_id":"41b6d044-19cd-46bf-9aa9-759b2b9e3097","resolution":{"observed_at":"2026-07-31T14:21:57.308172Z","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":"2026-07-31T14:21:57.324436Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.324436Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:7bd01c614f04f0a9125fb03e3dbe67f366e294f1499fbc37e72daee4dddd0627","observation_id":"443b3249-a693-40af-bf20-3b19cd95ce85","resolution":{"observed_at":"2026-07-31T14:21:57.324436Z","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":"2026-07-31T14:21:57.341168Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.341168Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:93a1b022946af85b780e1654a19b1648c460cc9a2561f10b503cbe43d5e2fac5","observation_id":"a93a120a-46db-4769-b5f5-4b487ee11dc9","resolution":{"observed_at":"2026-07-31T14:21:57.341168Z","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":"2026-07-31T14:21:57.351078Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.351078Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:c38d9ab2ee432193a269bc5dc85f5153282425bd8493bec2f4fc48eca7b21acd","observation_id":"12caa12e-b676-42a1-9bd8-a9bae3a95b02","resolution":{"observed_at":"2026-07-31T14:21:57.351078Z","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":"2026-07-31T14:21:57.362543Z","title":"Current Developments in Lens Design and Optical Engineering XXIII , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.362543Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:bb63eb21c979a515222998e4a5966fae63b12e4ebdb95454c63d888e48fe56a5","observation_id":"4f34e8a6-1c20-4730-b671-ad235bdf7bd5","resolution":{"observed_at":"2026-07-31T14:21:57.362543Z","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":"2026-07-31T14:21:57.372122Z","title":"Proceedings of the design society: DESIGN conference , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.372122Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:9e5bdf2ceb25793422038beabced0df1fa0860c1c5c8795fffc71c21f244133b","observation_id":"74bc0de1-50ae-47bd-8336-dd416eafb352","resolution":{"observed_at":"2026-07-31T14:21:57.372122Z","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":"2026-07-31T14:21:57.381946Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.381946Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:7ee20a8eb76f4f86a5df6d186b65c246fc6efc4530914760f41a87e416e5e5fe","observation_id":"3994271b-d1b7-4c2a-9bb7-f17d9366f211","resolution":{"observed_at":"2026-07-31T14:21:57.381946Z","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":"2026-07-31T14:21:57.392391Z","title":", author=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.392391Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:fd916fd48a621d298ba3d8443dff8e1c1333eaefe2456307546bb6ca2069eb84","observation_id":"c1726840-cd12-4eef-a048-9c39f69bc6f2","resolution":{"observed_at":"2026-07-31T14:21:57.392391Z","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":"2026-07-31T14:21:57.409674Z","title":"Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.409674Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:5014ce5d8971cf4624c9a0b17afaff2b67546f2a1a86599dbb980f150998ead0","observation_id":"22e8986b-ac40-4f7d-855a-1644f25fd8e3","resolution":{"observed_at":"2026-07-31T14:21:57.409674Z","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":"2026-07-31T14:21:57.432103Z","title":"Space Telescopes and Instrumentation 2024: Optical, Infrared, and Millimeter Wave , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.432103Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:83da2c91945ec8ba2dbcf64ae0d5767abb904e1225ff7352577adac0db87d47d","observation_id":"40eb5f83-0f11-4685-be9e-32390e1bbc4d","resolution":{"observed_at":"2026-07-31T14:21:57.432103Z","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":"2026-07-31T14:21:57.451210Z","title":"Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation VI , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.451210Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:a8b3699e6d52e1bf5c5c61bd51c41dba995c1f018d38e2ac0e3f76d3fd268bc3","observation_id":"266dfd61-9a14-4a45-b01c-fca2a5eef063","resolution":{"observed_at":"2026-07-31T14:21:57.451210Z","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":"2026-07-31T14:21:57.457752Z","title":"2021 , month = apr, address =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.457752Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:9cdbb0bd628a9f4ebc092fdd467a88d3e9712d0f84e542eb8842169951ef4710","observation_id":"8ddd7e5b-60ce-43f1-8f4a-926bf3a6224b","resolution":{"observed_at":"2026-07-31T14:21:57.457752Z","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":"2026-07-31T14:21:57.465342Z","title":"Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation VI , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-31T14:21:57.465342Z"},"links":{"citing_paper":"/paper/2607.28217"},"observation_digest":"sha256:48f6e705dc9490f81aed125c60af9543d9c2200e7cbf0cbd59ec735b3411d1d8","observation_id":"fd014987-e455-430e-8582-45ce6eaa47c3","resolution":{"observed_at":"2026-07-31T14:21:57.465342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.28217","last_updated":"2026-07-30T13:52:17Z","latest_version":1,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-08-12T10:10:19.529673Z","submitted_at":"2026-07-30T13:52:17Z","title":"Exploring generative design AI tools for astronomical instrumentation: a CubeSat chassis case study"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":18},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.28217."}