{"as_of":"2026-08-18T21:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4fc6d8b6b176a5b90e1a36be98d154e1b898c578d0dfba3a02c98cc8ad21b59a","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T03:01:08.905603Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2607.14024/citation-record","integrity":"/paper/2607.14024/integrity","json":"/paper/2607.14024/citation-record.json","paper":"/paper/2607.14024"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:06.433451Z","title":"Machines9(5) (2021).https://doi.org/10.3390/ machines9050100","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:06.433451Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:57802e0f1bc3aba19f7dbd2f351b9dde3bb2a96994eb3e6cecf523b003140a46","observation_id":"79ad01e1-c411-4305-ba5d-cd7a593221ae","resolution":{"observed_at":"2026-08-02T03:01:06.433451Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:06.505669Z","title":"Online Review13(5) (1989).https://doi.org/10.1108/ eb024320","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:06.505669Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:3a11875bdd83a4eb4b645c6cad6007488181ec2a1a8e3d372dbf8cf15df98c20","observation_id":"83e682b1-02fa-480a-a3bb-c6e58591c0e4","resolution":{"observed_at":"2026-08-02T03:01:06.505669Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:06.614888Z","title":"IET Renewable Power Generation14(19) (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:06.614888Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:d1aae6660ddbdbb523405590ec31792921f4698632c55da0abf8ee106385ddd5","observation_id":"88027ef0-25c4-4f0a-934d-0542cdab9efa","resolution":{"observed_at":"2026-08-02T03:01:06.614888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:06.765144Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:06.765144Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:ec0a0420ff74c649e7f1c8c0700d67a83238256f97c922f3549a4f6700db8d71","observation_id":"eb87872e-0447-4de5-9988-23cc70a2bee4","resolution":{"observed_at":"2026-08-02T03:01:06.765144Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:06.920499Z","title":"10, 2025","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:06.920499Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:03c42931ae36f304825f5c64e8a74c871d966159f4cc71ddfddffa6c376c9db6","observation_id":"752ca8b0-cad0-4063-b27e-dfe272debe47","resolution":{"observed_at":"2026-08-02T03:01:06.920499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.050308Z","title":"In: Pattern Recognition in Practice IV, Machine Intelligence and Pattern Recognition, vol","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.050308Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:f38775bc691f9e8a51fab428ff85e77ba0294192e31150adc8e5806609b32868","observation_id":"77f947d5-08d6-42ad-9196-7efd5a0088ad","resolution":{"observed_at":"2026-08-02T03:01:07.050308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.191889Z","title":"In: Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering (2025).https://doi.org/10.1145/3676151.3719368","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.191889Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:eb671f022be420da8f7093ef16083848410c02467061da474fa2722665680616","observation_id":"94f47b62-b47e-46a8-9a71-2f0ee4a2a084","resolution":{"observed_at":"2026-08-02T03:01:07.191889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.337560Z","title":"In: Verdecchia, R., Trubiani, C., Calinescu, R., Verbanescu, A.L","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.337560Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:73f6420a298b4521923cc4c7bb730459fc32c2cb01e1e2836561afe8efe49773","observation_id":"b4699827-ade6-465f-9945-82b1fc75d540","resolution":{"observed_at":"2026-08-02T03:01:07.337560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.441067Z","title":"International Journal of Sustainable Engineering14(6) (2021).https://doi.org/ 10.1080/19397038.2021.1986590","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.441067Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:ec0b2468605ee462f32b635c52fc07136d3e0b0797ed211b5812c409003e1e57","observation_id":"fc3ba2b5-da8f-4321-9432-7a6199ad3f24","resolution":{"observed_at":"2026-08-02T03:01:07.441067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.563983Z","title":"Earthscan, 2nd edn","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.563983Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:a3a80d774da47b102c8ea6ef839dcf7ff1efad3a0a8569d34b79fcf31c25248c","observation_id":"877b6f58-4286-40aa-bf4d-99210090c9bf","resolution":{"observed_at":"2026-08-02T03:01:07.563983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.703362Z","title":"Solar Energy73(3) (2002)","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.703362Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:203c9be2d4eeae75adb7fca8b88ea0436b60de7cf0e491d6c041ff352bc585fc","observation_id":"171f18a9-68d4-4d28-8abd-9706f971e22d","resolution":{"observed_at":"2026-08-02T03:01:07.703362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.809468Z","title":"International Renewable Energy Agency, Abu Dhabi (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.809468Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:9bd9d405633448cad18e0d7d262050af43fef913b8c16409643f2d048a375a42","observation_id":"7034cc70-9167-4dc5-b891-0ec5c761f675","resolution":{"observed_at":"2026-08-02T03:01:07.809468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:07.959091Z","title":"Patterns4(9) (2023).https://doi.org/10.1016/j","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:07.959091Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:f894cc76bae9f03f3e5b98709c38c100e857b11afb726230e7180883b69aedcc","observation_id":"58582c3a-edae-4da4-a81c-f0866ffaabe9","resolution":{"observed_at":"2026-08-02T03:01:07.959091Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/en13184702","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Energies13(18) (2020).https://doi","venue":"Energies","work_id":"2e8beaa8-3460-4209-afc8-08f2c4b1b50e","year":2020},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.048692Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:2a12f27f8280e058782f020c0c792725425eb01db682bec57d01860c657a25ff","observation_id":"a322708e-b70b-4744-8f85-a98cb2573980","resolution":{"observed_at":"2026-08-02T03:03:25.206162Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:08.194142Z","title":"In: Developments in teracomputing","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.194142Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:a0798fece7a8c29705e9c30d9e27b99dc9f5c20902cd0736b88fa223fbf6d653","observation_id":"0d881f8f-e4d8-4b93-9eb0-c2c0495bf5e9","resolution":{"observed_at":"2026-08-02T03:01:08.194142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.egyr.2023.09.008","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Energy Reports9(2023).https://doi.org/10.1016/j.egyr.2023.09.008","venue":"Energy Reports","work_id":"e508d5d6-d61a-46a3-aab8-2acb65454bce","year":2023},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.349759Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:f10d6546553a135fa3c139c76b33f341582030c19fd61bc4e3a5046769b550ae","observation_id":"69201353-224e-4110-a449-8293704f6770","resolution":{"observed_at":"2026-08-02T03:03:25.066715Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:08.461305Z","title":"Journal of Machine Learning Research12(2011)","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.461305Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:fc94b434e01a93046e2606ff1df584394539bcf0271535980f539be1e2d9e13c","observation_id":"43f220fa-04f5-429e-9625-b82326cc8854","resolution":{"observed_at":"2026-08-02T03:01:08.461305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:08.543996Z","title":"Solar Energy73(5) (2002)","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.543996Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:4696ad76a15a69f7b2b1651aea539cc5ef4f5fb56702dd670eac18640c99f291","observation_id":"b96b00f5-c560-4f56-9fa0-0f90a132b282","resolution":{"observed_at":"2026-08-02T03:01:08.543996Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s40243-024-00292-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Materials for Renewable and Sus- tainable Energy14(1) (2025).https://doi.org/10.1007/s40243-024-00292-5","venue":"Materials for Renewable and Sustainable Energy","work_id":"222b88b8-8ebc-4af3-b652-4e3c3a3347a5","year":2025},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.654083Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:d220904c65565dd3fffd47e0be5f6a377f9ac564287cd8b63bb3e1548e3c9f44","observation_id":"f4b7dae7-8cd5-4c72-856f-0c75e1c633b1","resolution":{"observed_at":"2026-08-02T03:03:24.944827Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.rser.2012.09.028","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Renewable and Sustainable Energy Reviews20(2013)","venue":"Renewable and Sustainable Energy Reviews","work_id":"9df06ab6-d69e-49d8-bc56-d5a70844e0b1","year":2013},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.742614Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:1ddfc5fdba43fd249cd4ef256cfab2b8664efb30f0f05264ae5fabd3d4807b40","observation_id":"1239af18-7c6b-4ba7-8654-a5a243785214","resolution":{"observed_at":"2026-08-02T03:03:24.813361Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:01:08.798136Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.798136Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:cd2d7e7faec644858a7ea4b6d8880d5fc1925c6a83fb3f7adf2d21c9d26bddde","observation_id":"c5e76985-5568-4345-accd-d73d46b2505d","resolution":{"observed_at":"2026-08-02T03:01:08.798136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.solener.2021.09.050","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Solar Energy230 (2021).https://doi.org/10.1016/j.solener.2021.09.050","venue":"Solar Energy","work_id":"c9960a78-6423-4083-a3af-07a8774a9ead","year":2021},"citing_paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T03:01:08.905603Z"},"links":{"citing_paper":"/paper/2607.14024"},"observation_digest":"sha256:a432933ce35cf73d110b6b823ce5fbc5555815f022bf6bdac35a99b87162b213","observation_id":"fb1acc68-a5ab-4826-b327-f23a278d2d0a","resolution":{"observed_at":"2026-08-02T03:03:24.639826Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.14024","last_updated":"2026-07-15T16:55:42Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T20:59:45.273522Z","submitted_at":"2026-07-15T16:55:42Z","title":"Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":4,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.14024."}