{"as_of":"2026-08-16T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3cf48040de65f17794a710f58ba6628aef9759e9c814d57dc9e14b63f09bdabd","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:01:16.294741Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.07980/citation-record","integrity":"/paper/1908.07980/integrity","json":"/paper/1908.07980/citation-record.json","paper":"/paper/1908.07980"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:01:16.814678Z","title":"URL https://www.tensorflow.org/versions/r1.1/get_started/mnist/ beginners","venue":null,"work_id":"f4d0d790-73fd-4b18-93ae-c6c58f6a525e","year":null},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.145170Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:f032a7887196aa471d997bee603d995db8a87d31ecd79586a0e0687fde8eb392","observation_id":"8099162e-4c60-4ba4-bbe1-80a108ab204d","resolution":{"observed_at":"2026-08-14T12:01:16.820828Z","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":"2026-08-14T12:01:16.799167Z","title":"Amaran, N","venue":null,"work_id":"fac8afe7-2bdc-41cb-adc7-74c0f63451a1","year":2016},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.150620Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:995d8614d86fa84dcb15467bbf1af8aa2d876f6888bee4a3d4f458ac6873c385","observation_id":"347818a8-e192-43ec-84da-85c389bb52de","resolution":{"observed_at":"2026-08-14T12:01:16.804393Z","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":"2026-08-14T12:01:16.784566Z","title":"Azimi, A","venue":null,"work_id":"2d9bdb75-750b-4442-946e-c605394de651","year":2010},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.155419Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:d667a457f37ce54b2fa07bcc238de8abb4d247dcbd6b8d573b43a3321dbbbf47","observation_id":"7f8ddf0a-3eef-4777-adae-1863d75ac5ca","resolution":{"observed_at":"2026-08-14T12:01:16.789397Z","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":"2026-08-14T12:01:16.769468Z","title":"Bergstra and Y","venue":null,"work_id":"ed2cc446-99c9-4637-bd4a-4bef04560443","year":2012},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.160193Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:386bba510c9df19ac999c352cd2b74edcbe288404e0f8fd67178d3f1ff7ef0e7","observation_id":"12904223-0318-47f6-a733-a4907bc2884a","resolution":{"observed_at":"2026-08-14T12:01:16.775001Z","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":"2026-08-14T12:01:16.755681Z","title":"Bubeck, R","venue":null,"work_id":"22db4bbf-5695-4b63-a281-878095070a60","year":2011},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.165341Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:2f1d1ccf321f9831cfb31e1ed71c1866db6d399229e8d900204eb174b2123aba","observation_id":"3800b3e6-1903-4960-9fd8-a294493b58da","resolution":{"observed_at":"2026-08-14T12:01:16.760225Z","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":"2026-08-14T12:01:16.742097Z","title":"Carpentier and M","venue":null,"work_id":"113791b1-67d6-4c6f-b5da-ed2f09a5bdfe","year":2015},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.170753Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:7faee098027e970895f53a6590046c7495af026d5412e3382f5674b9892f81ba","observation_id":"0b6658e7-6553-471b-80d6-bcabfdf80639","resolution":{"observed_at":"2026-08-14T12:01:16.746603Z","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":"2026-08-14T12:01:16.727287Z","title":null,"venue":null,"work_id":"14efafda-4185-4fc7-8ded-140a7f979058","year":2014},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.175994Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:d63b2ecd240e50c9f57f9c594553540e140b9ff610c7248e884f689f305118de","observation_id":"2df03375-ea55-406f-85c3-984f8286cf33","resolution":{"observed_at":"2026-08-14T12:01:16.732990Z","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":"2026-08-14T12:01:16.713349Z","title":null,"venue":null,"work_id":"6846a39a-4476-4d29-97bb-a7e34158bd34","year":1997},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.180887Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:64f7b27263f8b4a8f2b0138e716a1108da0799e895d91dde69f5ad6e995ac3ff","observation_id":"e291b03a-d2d9-4b98-8905-56ef87d866fd","resolution":{"observed_at":"2026-08-14T12:01:16.717871Z","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":"2026-08-14T12:01:16.699240Z","title":"Contal, D","venue":null,"work_id":"3e830861-31a1-4f8d-a753-95d7b3b75a2e","year":2013},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.185397Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:a59741c238ba7ca0ed405f2fd8b8668094f7dd32b53684ff23f7e9c90e286fcf","observation_id":"bc8a2d99-5e14-45af-955d-01db45cf5abd","resolution":{"observed_at":"2026-08-14T12:01:16.703995Z","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":"2026-08-14T12:01:16.685588Z","title":"Desautels, A","venue":null,"work_id":"a2b11a4b-3540-4a48-9fdb-a519e46e131f","year":2014},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.190071Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:954bb63933640aaad835e7e7196a8802b8c142936d68878dd8fb92bd0d59e66c","observation_id":"d8620b21-82b8-47c5-a1bd-d8844fde4376","resolution":{"observed_at":"2026-08-14T12:01:16.690135Z","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":"2026-08-14T12:01:16.671167Z","title":"Dheeru and E","venue":null,"work_id":"8baa1b2d-3c30-478a-ad1f-fe11453f27f3","year":2017},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.194367Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:4336f39ee10f7121e42281b21aaad9c5bdfc977322aa56a4c79487abfbfb6228","observation_id":"c7404c36-ff8b-49cd-8d71-e4825b2fc6f6","resolution":{"observed_at":"2026-08-14T12:01:16.675720Z","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":"2026-08-14T12:01:16.656793Z","title":"González, Z","venue":null,"work_id":"e7812ece-40c7-4321-b90e-21165639753f","year":2016},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.198629Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:d29177cb0cc925f853335b5e58d8098634ed347c684220e8ad192730e92c3615","observation_id":"6ce97849-149a-4dd0-b8f3-c3ab66db0d56","resolution":{"observed_at":"2026-08-14T12:01:16.661617Z","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":"2026-08-14T12:01:16.641791Z","title":null,"venue":null,"work_id":"dbd2c3ca-63e9-439b-886d-0f9d28880479","year":2016},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.202862Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:2bfbbeae6c3952099747271cc9ac73a5024997dae66529a29c7e18e0042066a0","observation_id":"5db9c277-8e19-44df-821c-489106ca4e9e","resolution":{"observed_at":"2026-08-14T12:01:16.646565Z","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":"2026-08-14T12:01:16.627125Z","title":"Köchel and U","venue":null,"work_id":"614765a5-3806-4dba-ba4d-c881c8f75cc0","year":2005},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.207214Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:3b740662289a0de3438d285d04212bc8bb4fdc36ad410511992a9f383719f470","observation_id":"617d2d76-caa1-4d5f-a030-c4efbedc5146","resolution":{"observed_at":"2026-08-14T12:01:16.631994Z","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":"2026-08-14T12:01:16.612578Z","title":"LeCun, C","venue":null,"work_id":"e5998f1d-338c-4ab9-839e-5dfae0d2052e","year":null},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.211902Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:c2161dd575fc6c032fa9339ec069b955cedafdc98f16d9dcd7dcb3af47a0977a","observation_id":"0fc5ae08-38c6-4d7e-93d8-ca93308f748a","resolution":{"observed_at":"2026-08-14T12:01:16.617242Z","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":"2026-08-14T12:01:16.597775Z","title":"Li and Y","venue":null,"work_id":"b821fe09-8022-4c8f-a7b6-2ddb2a71119d","year":2017},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.216465Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:8d68aab8b188b4776a8293dd1b2935ab8c875d05fdaf5941b0a7b49b84380025","observation_id":"720ddcb0-294c-49fc-aeec-2ee3ad160ecd","resolution":{"observed_at":"2026-08-14T12:01:16.602661Z","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":"2026-08-14T12:01:16.582382Z","title":null,"venue":null,"work_id":"55d99b6b-e23d-4b37-825f-de022609909c","year":2001},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.220806Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:e73454d1ecf1102ba9a5a68287308dad388ae822653bb95cdec28b0ceed18d9e","observation_id":"b6950d83-2a4d-4c87-9043-099746db87ec","resolution":{"observed_at":"2026-08-14T12:01:16.587554Z","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":"2026-08-14T12:01:16.567682Z","title":null,"venue":null,"work_id":"96da4a6a-c822-48be-843d-ef49db950a42","year":2013},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.225092Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:739cfb087a1fb59534705fe07b8397e6b6b954c969d73d72a5950ada71945344","observation_id":"56e67723-d4d3-4c27-b86c-ccfee571837f","resolution":{"observed_at":"2026-08-14T12:01:16.572671Z","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":"2026-08-14T12:01:16.552808Z","title":"Osorio and M","venue":null,"work_id":"51fb1075-7ecc-451c-a0b5-eaf86c31bfd8","year":2010},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.229362Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:788f2bf736d4f1ebb540b638e7ddfddd8ec075a30c2345f9a0ff1cbef2b3c98a","observation_id":"d2b6dbd3-2c14-4b2b-89c3-4628ecfba0b2","resolution":{"observed_at":"2026-08-14T12:01:16.557544Z","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":"2026-08-14T12:01:16.538243Z","title":"Prakash, G","venue":null,"work_id":"c1dfc0e0-f8f8-4150-980a-51b8a96735a5","year":2008},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.233610Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:b1d51119f653a135452145a300c73f8089d6d38b2aa8b56d8686d5a93720fc85","observation_id":"67938003-d5bf-4384-8ddc-23e5786445da","resolution":{"observed_at":"2026-08-14T12:01:16.543190Z","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":"2026-08-14T12:01:16.522481Z","title":"Quinonero-Candela and C","venue":null,"work_id":"6375d84b-02aa-4a71-b13a-e14fbf951edc","year":2005},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.237946Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:3a17dd881a1d3569b9affe86d0e5b5f04f05f8a3e908b0d609d420bf7e6f69f5","observation_id":"ebc6042b-52d0-466a-8714-74eb746d1645","resolution":{"observed_at":"2026-08-14T12:01:16.527434Z","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":"2026-08-14T12:01:16.507833Z","title":"Rakshit, A","venue":null,"work_id":"47f8628f-67a9-4151-847c-24b6e588e516","year":2016},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.242544Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:711d953dde1a1296e5b7cbc3ce7906aeec99064ea8d2b2acb3010d15b711708b","observation_id":"0e2cfb00-aff8-4555-9903-0eefdf6439b1","resolution":{"observed_at":"2026-08-14T12:01:16.512765Z","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":"2026-08-14T12:01:16.493733Z","title":null,"venue":null,"work_id":"906bf884-2d75-4746-97bf-133f56d22313","year":2006},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.246735Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:9f00f0440bddd07f23f9b03a3e61c73e286b6b08a8f9b40c6fd4e59080d1fef3","observation_id":"e9eb96b6-eb0a-419c-b1b1-33accc4f0108","resolution":{"observed_at":"2026-08-14T12:01:16.498542Z","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":"2026-08-14T12:01:16.478128Z","title":null,"venue":null,"work_id":"b846c65e-588f-4508-8c12-09585bbc4ba0","year":2016},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.251149Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:e4b0a539278aaa516b59414420efddd64803615a966f3d75867c3d60950eed50","observation_id":"2ffc6ea9-81e1-47a9-9c0f-81a149e93fd3","resolution":{"observed_at":"2026-08-14T12:01:16.483003Z","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":"2026-08-14T12:01:16.462790Z","title":null,"venue":null,"work_id":"4e751b87-d48d-4450-9f6f-d3c8a570e061","year":2007},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.255537Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:0509e124411009b646a18f7e97d6ffd4deeb314d4d9f1aee7cf23cb60239dfa0","observation_id":"3be83b27-6735-4826-8812-acde91ef7deb","resolution":{"observed_at":"2026-08-14T12:01:16.467732Z","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":"2026-08-14T12:01:16.447334Z","title":null,"venue":null,"work_id":"541b7346-44a5-4be0-bcfe-8bf5fd863ed4","year":2009},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.259714Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:91f394db180e49ed6012b4f3ffde2f9317b8cd0c9c92c584e6096534aeac29ab","observation_id":"8e3dc71d-13d7-4d10-8a28-6cf7c762d56b","resolution":{"observed_at":"2026-08-14T12:01:16.452314Z","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":"2026-08-14T12:01:16.432572Z","title":null,"venue":null,"work_id":"62b1727a-f42f-46b6-82f6-ae9198efc834","year":2013},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.263906Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:7867e66e7691d6de976b015d3e9d2209bcf0d1144f5f739bd2ee7a75916c8af0","observation_id":"82cf7ea7-d611-4a81-bad6-17ec5fc47afc","resolution":{"observed_at":"2026-08-14T12:01:16.437531Z","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":"2026-08-14T12:01:16.418159Z","title":"Shah and Z","venue":null,"work_id":"b7539092-18e2-4bfc-abaf-f092621c9931","year":2015},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.268098Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:a3af3ca4e6fe8e74a38c29c67bd4fea31cc86b7f4b6b76e2e082738d43fa2831","observation_id":"d94b017d-e433-48ff-8280-2825bcce1ba1","resolution":{"observed_at":"2026-08-14T12:01:16.423094Z","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":"2026-08-14T12:01:16.402738Z","title":"Snoek, H","venue":null,"work_id":"780bb32e-6245-4c65-8cf2-dbe2266706bb","year":2012},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.272594Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:bfe6fdc030b11081249f3901a57c73fc5d7bd20b0c38fa4ecd970337fd32a3eb","observation_id":"26ed2f1f-6314-42fb-8ba7-af5f5216c92c","resolution":{"observed_at":"2026-08-14T12:01:16.408039Z","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":"2026-08-14T12:01:16.387322Z","title":null,"venue":null,"work_id":"e080e52d-5ef4-4d44-8f0f-f87ce8048e15","year":2005},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.277283Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:bddd0230ee6327bdfc005f73241ecc0abe8c0e2bd23b42f39f74577a28603dae","observation_id":"d26fe62b-77e4-404a-89a5-499d195f6b5c","resolution":{"observed_at":"2026-08-14T12:01:16.391825Z","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":"2026-08-14T12:01:16.372463Z","title":"Wang, J.-Y","venue":null,"work_id":"8300a613-6b8e-431c-97b5-947e5085c647","year":2009},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.281725Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:d4f9bc564438f73cf4cfc6894ae29d86b4fd14f1f14bd672da817d61b6f3c92c","observation_id":"124ad19c-c569-454d-bbe3-69e39cf90de9","resolution":{"observed_at":"2026-08-14T12:01:16.377102Z","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":"2026-08-14T12:01:16.357675Z","title":"Wu and P","venue":null,"work_id":"1dd35a55-7dbe-42c6-b066-22debf2c46b7","year":2016},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.286120Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:ece0852506425a53bc1aa4acb6c720a42c357573ff63826bb53969588c79e122","observation_id":"5e6370ef-5740-4188-a3a0-66a2a57561c2","resolution":{"observed_at":"2026-08-14T12:01:16.362265Z","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":"2026-08-14T12:01:16.342687Z","title":null,"venue":null,"work_id":"4fe977d9-9ab3-4fd2-8ac2-12e3baa4e6e8","year":2017},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.290386Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:d59a7785c94163b8f37a51a2a8985cb5548326a63a66641dfaf16b3e0eeb40ef","observation_id":"10b120bd-2ad6-4aa4-88e7-c94c3d7169f3","resolution":{"observed_at":"2026-08-14T12:01:16.347514Z","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":"2026-08-14T12:01:16.326056Z","title":null,"venue":null,"work_id":"7f86bb57-d797-409e-b355-8a3c1135714b","year":2012},"citing_paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:01:16.294741Z"},"links":{"citing_paper":"/paper/1908.07980"},"observation_digest":"sha256:1892e244197c7f86d909401dcbb69b08d9fc0fc38c444b230b27fc496ef1560a","observation_id":"549065c9-2465-461d-885d-2cbc94a461e2","resolution":{"observed_at":"2026-08-14T12:01:16.332140Z","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"}}],"paper":{"arxiv_id":"1908.07980","last_updated":"2019-08-21T16:43:54Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-08-16T04:42:19.299371Z","submitted_at":"2019-08-21T16:43:54Z","title":"A tree-based radial basis function method for noisy parallel surrogate optimization"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":34},"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 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.07980."}