{"as_of":"2026-08-16T11:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5bec20ff47a7bcf8a2d1be04d732e1622169c2a49208897c622af931a3f61c90","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-23T21:25:57.712246Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:15:25.813268Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-04T08:19:44.083744Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.01949","snapshot_observed_at":"2026-08-15T19:15:25.813268Z","title":"Anderson, V","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17626","last_updated":"2025-09-02T07:50:01Z","snapshot_observed_at":"2026-08-15T19:03:09.478158Z","submitted_at":"2025-06-21T07:54:05Z","title":"Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T19:15:25.813268Z"},"links":{"cited_paper":"/paper/2409.01949","citing_paper":"/paper/2506.17626"},"observation_digest":"sha256:1b1e93dfebfc98128bd20c2b76992403372ad0f87c3f80aae0a0cfd41304f567","observation_id":"d55a931b-27fd-4f0c-92e7-8a816ff95fe1","resolution":{"observed_at":"2026-08-15T19:15:25.813268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"cited_work":{"arxiv_id":"2409.01949","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.01949","snapshot_observed_at":"2026-07-04T08:19:44.083744Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","venue":"math.NA","work_id":"729dc6c4-badd-42f2-a740-1cd945f8389e","year":2024},"citing_paper":{"arxiv_id":"2606.21945","last_updated":"2026-06-20T08:21:16Z","snapshot_observed_at":"2026-08-11T17:08:48.663346Z","submitted_at":"2026-06-20T08:21:16Z","title":"Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery","version":1},"reference_index":251,"source":"pdf_text","source_observed_at":"2026-06-26T11:55:25.831089Z"},"links":{"cited_paper":"/paper/2409.01949","citing_paper":"/paper/2606.21945"},"observation_digest":"sha256:e0579627a234214178a5a50d9eec4a5e4f8b1cf25fc65f3239fd3eab7b67de19","observation_id":"22aa56a7-dd4b-4af5-9320-daa6a58818c2","resolution":{"observed_at":"2026-07-04T08:19:44.085020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.01949","snapshot_observed_at":"2026-08-10T17:58:27.827459Z","title":"Elm- fbpinn: efficient finite-basis physics-informed neural networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06942","last_updated":"2026-08-07T08:17:09Z","snapshot_observed_at":"2026-08-15T09:56:10.553450Z","submitted_at":"2026-08-07T08:17:09Z","title":"ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T17:58:27.827459Z"},"links":{"cited_paper":"/paper/2409.01949","citing_paper":"/paper/2608.06942"},"observation_digest":"sha256:1185f3ff9fe5885b84a223fff92f05e7f8fa81310a8e6a688917cdf6a60c1eaf","observation_id":"b72806b1-7092-43d5-9faa-e969af50a324","resolution":{"observed_at":"2026-08-10T17:58:27.827459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.01949/citation-record","integrity":"/paper/2409.01949/integrity","json":"/paper/2409.01949/citation-record.json","paper":"/paper/2409.01949"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Journal of Machine Learning 1, 268--98 (2022)","venue":null,"work_id":"e5d811ac-a583-4eaf-a623-e44315687e2f","year":2022},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:a73fb675fb7c2ebf924380911346a08b7a30475eda8fdbbfd23e7810f4f97627","observation_id":"f8a023c3-2055-43ea-838b-5913e3840d94","resolution":{"observed_at":"2026-05-23T21:28:29.176940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c46a2652-9e63-403b-b34e-15f9f2dc016b","year":2024},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:e60fd58aaed07f51fcb4d4e7d53a008a95c622bfb1fd51d8b63debfc1e1cbf85","observation_id":"4b383b0e-c1bc-4cae-b9a8-1154c0aa03c7","resolution":{"observed_at":"2026-05-23T21:28:29.180488Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Computer Methods in Applied Mechanics and Engineering 429, 117116 (2024)","venue":null,"work_id":"2e53467b-559d-4c5f-bbf8-3fdbc23b3e89","year":2024},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:bc03f4f8f540d070ea16eec76970723bac823f369a3c8144b546d07cec669f6d","observation_id":"ebce3204-abcd-446f-8237-c4f36f19d3ed","resolution":{"observed_at":"2026-05-23T21:28:29.188505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neurocomputing 70(1), 489--501 (2006)","venue":null,"work_id":"2618601f-c5a6-400f-a619-0d47e46b23be","year":2006},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:3094f681fa1f378474c131c1045cb0ac8ef721534439552ec5847a64a3c044fc","observation_id":"383c6fc5-18ed-4d7b-8ed7-6c46d2e3da74","resolution":{"observed_at":"2026-05-23T21:28:29.173491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"IEEE Transactions on Neural Networks 9(5), 987--1000 (1998)","venue":null,"work_id":"e5ca7ac0-a6b4-4dbc-9846-e416cff49268","year":1998},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:27b7aa95eb2dd481fc3f45db689b13c85ff7a1e8d5aed559b70c3946ffaa70fc","observation_id":"eb6527f2-a0ed-42c9-af86-063768b54698","resolution":{"observed_at":"2026-05-23T21:28:29.159424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"86145953-1fd9-4e50-b213-dc563d3fba3a","year":2022},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:fb24d5d93c5e52989eb0a1a1251d50eda6bcbe323156cf360e7856a40b8a0d1a","observation_id":"2736c980-c49e-4305-9a2c-893b87aa3317","resolution":{"observed_at":"2026-05-23T21:28:29.166268Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Advances in Computational Mathematics 49(4), 62 (2023)","venue":null,"work_id":"3a98cb85-ce26-441b-b7c9-ab44429a9a7f","year":2023},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:76152855d8ffae63005fb2283eb50dd4bbd822a4c3dc5bf3adc29ed3412837f1","observation_id":"26e3dc2a-00b3-4875-83f8-77742e342d97","resolution":{"observed_at":"2026-05-23T21:28:29.163045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b2e7e780-cf9b-4611-8970-12bc52d66035","year":2019},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:03ad119cd055622572b857a74990ceacd1dc8f1b202e3fb675253b978e8e331b","observation_id":"59220e6e-c8fd-4047-9757-2066cde50359","resolution":{"observed_at":"2026-05-23T21:28:29.154689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Journal of Computational physics 378, 686--707 (2019)","venue":null,"work_id":"3f284ecf-924c-457a-98b5-efd6860861ab","year":2019},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:f4e407c1e090157575457650f81073fd1e1e0602ac7cfb4f8647238b693a2abf","observation_id":"2cd77752-7fec-4c2c-827c-6faaf200a700","resolution":{"observed_at":"2026-05-23T21:28:29.143342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Computer Methods in Applied Mechanics and Engineering 384, 113938 (2021)","venue":null,"work_id":"348b8f22-b242-4ea7-8bcd-532b5d07afad","year":2021},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:21ee699b3dbbfc117176fecc09e756711c3d739720e09415d4c753a1b05e4f6e","observation_id":"0f5ccf84-1885-4eda-ab5e-dcb7516dc847","resolution":{"observed_at":"2026-05-23T21:28:29.147083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"\" * write output.state after.block = add.period write newline","venue":null,"work_id":"76463e76-2c28-4200-8c95-c20962ab3658","year":null},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:516534e3bc6c21ce74d41de8dee6880eb9c3a0cd60da76247867b76963c1e817","observation_id":"e3023f01-5141-4b3e-b19c-242904a5d008","resolution":{"observed_at":"2026-05-23T21:28:29.150943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T18:05:19.067459Z","title":"write newline","venue":null,"work_id":"988cc720-76db-4dfd-b5c5-7d91ae68a88e","year":null},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:53ebfabfe18d9572c082ef205f3c2d1e920c84c0bc2c02fba96858c8a03d6e8f","observation_id":"1f2bd0c9-073f-4594-bbae-1ac2db5dffb0","resolution":{"observed_at":"2026-05-23T21:28:29.170045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T06:14:39.114428Z","title":"\" * write output.state after.block = add.period write newline","venue":null,"work_id":"996359f3-e681-488b-bb0a-43d61d6913a8","year":null},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:6eb6118b53999c17e6d26ae8b16c7b1af9e481f83345446b6e2f5a0e950d6f43","observation_id":"a0d372dd-bb5e-48e2-aaad-490bf6ce8648","resolution":{"observed_at":"2026-05-23T21:28:29.193019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T06:14:39.110106Z","title":"write newline","venue":null,"work_id":"8e125d95-a369-4ca6-8d0b-0c24179f1b03","year":null},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:eb71177e7b4605e7e6076a2582ea5a7d4082a29ae407f82ca1bcfb6bafc2a570","observation_id":"b99e5550-ae47-4b65-907c-249b591cee90","resolution":{"observed_at":"2026-05-23T21:28:29.139972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T06:14:39.116469Z","title":"\" * write output.state after.block = add.period write newline","venue":null,"work_id":"834be491-eb3d-407c-b70c-1c35f4772d6a","year":null},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:fc165ae4802677a06aed1ace7083320158f788493e250f1f5411d6ff4e4c39b2","observation_id":"0bfa9700-7885-476c-853b-5cdef8f25d4c","resolution":{"observed_at":"2026-05-23T21:28:29.132271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T06:14:39.111876Z","title":"write newline","venue":null,"work_id":"994e45f0-ffe7-4451-ad52-9d2faa56179b","year":null},"citing_paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-23T21:25:57.712246Z"},"links":{"citing_paper":"/paper/2409.01949"},"observation_digest":"sha256:9c80b0d540ac70edfd791fbb2b0b1c229b5917c5f19ea0cd278348663a1750fd","observation_id":"46698861-9428-4e01-873d-fcbe7bf7d062","resolution":{"observed_at":"2026-05-23T21:28:29.136141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2409.01949","last_updated":"2026-05-18T21:45:39Z","latest_version":3,"primary_category":"math.NA","snapshot_observed_at":"2026-08-15T09:55:26.198872Z","submitted_at":"2024-09-03T14:50:13Z","title":"ELM-FBPINNs: An Efficient Multilevel Random Feature Method"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":16},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2409.01949."}