{"as_of":"2026-08-09T02:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd33066fcd74f6bf1bcb2e40d488f62b52e9119a59023d85ec0331d70a8adbec","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:46:43.324596Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2508.01325/citation-record","integrity":"/paper/2508.01325/integrity","json":"/paper/2508.01325/citation-record.json","paper":"/paper/2508.01325"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:44.047002Z","title":null,"venue":null,"work_id":"299067b3-96b9-485d-8b5e-490668b16ab0","year":2004},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.178035Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:0b6816db5da4999be4678120dbababa4cfce16b9b829f06a9fc61259ee455055","observation_id":"bee2a735-fec2-4568-ad85-3d46daa6b792","resolution":{"observed_at":"2026-08-06T05:46:44.050937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:44.034870Z","title":null,"venue":null,"work_id":"874ddc41-5917-4050-a924-9893db2db3c1","year":2012},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.182674Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:248f6db5744084cf3ed6fc5982ed79983b3bfa000247ada1c46c5c6c4dd727d8","observation_id":"221d13d0-d078-4d2e-b040-9c0c48768a21","resolution":{"observed_at":"2026-08-06T05:46:44.038508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:44.023000Z","title":null,"venue":null,"work_id":"95867a97-5826-45a2-a4db-34b9e106c576","year":1995},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.186782Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:1ddd356951499b66763b382b88e60b4c9964dd234b481fadf5da54abecca76a4","observation_id":"dfa63151-80f3-4b87-9c89-8db4a64c204b","resolution":{"observed_at":"2026-08-06T05:46:44.026622Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:44.009490Z","title":null,"venue":null,"work_id":"bb02a9eb-1601-48ac-b748-c14b45c2fa4a","year":2006},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.191317Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:495fd3875473c0cf9ace2f21a01698ddabbf650d0372f2ce0eff084c0415dd0c","observation_id":"8deb8723-f888-4159-a2fa-1b81d364127a","resolution":{"observed_at":"2026-08-06T05:46:44.013287Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.997335Z","title":null,"venue":null,"work_id":"8944e01e-5156-4b8f-ad6d-e7eac3b40648","year":1996},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.195523Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:daa3c15be895d8c168e3688544cab1bfc5ad6be70037abc84cfe1d810fe166ed","observation_id":"efcd9fee-8c67-4d31-9f6a-b8746fb62fe6","resolution":{"observed_at":"2026-08-06T05:46:44.001215Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.199744Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.199744Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:6dba6fd3e3fe5a91c3cc135919267489bf611b77ac2be69a76a7a1de800abe2d","observation_id":"648df744-fac8-459a-bef8-8a1ed69397d8","resolution":{"observed_at":"2026-08-06T05:46:43.199744Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.985028Z","title":null,"venue":null,"work_id":"f6da709c-b26e-4c00-8473-8d8c499ac240","year":2014},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.204382Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:7b723d3b644b1e009c1f3f6e6d200298d7ea0f3487ab2fecc8f388104363cac9","observation_id":"de81032c-5848-4b69-9220-38b27c4d26cc","resolution":{"observed_at":"2026-08-06T05:46:43.988942Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.973127Z","title":null,"venue":null,"work_id":"e61937bb-5046-4207-bb35-d429f3fd6e49","year":2015},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.208186Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:c6d3d4d925bcc9108451a95548181fe0bca529a47127ba77f1d9969a5824806c","observation_id":"04c4c9cb-4b5c-4b83-9c6f-ba26e15ac5da","resolution":{"observed_at":"2026-08-06T05:46:43.976831Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.961349Z","title":null,"venue":null,"work_id":"d1a31f73-5a98-4199-b3f0-7310ff736ca0","year":1989},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.211905Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:f547b02cc5e5d0fa9fbf209b82154cee5c34b79cb28268db348f91f4e6555d5d","observation_id":"4673d1f7-2bb4-46fa-b908-bdaa8e2bda82","resolution":{"observed_at":"2026-08-06T05:46:43.964892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7574.36178","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.674672Z","title":null,"venue":null,"work_id":"3cb2d043-9c1b-4b87-909e-27cfeea932de","year":2023},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.216111Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:995b1e84c4d2d9580549ff31fdaefb18c831afbb5112f2b7480e208298587325","observation_id":"4dd40ff4-4edd-4f19-bd67-822fe0619cf6","resolution":{"observed_at":"2026-08-06T05:46:43.681533Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.948830Z","title":null,"venue":null,"work_id":"36243bc1-ef43-4509-9e99-36adc4060ee1","year":1997},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.219776Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:975c1feb07daaa851ec942b9f9ab6a591a75e91795967d43f021861ca832dd72","observation_id":"e1f0b708-d558-42d0-872a-6da8d38f0550","resolution":{"observed_at":"2026-08-06T05:46:43.952605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.936170Z","title":null,"venue":null,"work_id":"7b617f27-6827-47a4-95fa-28ddc4820f8a","year":2017},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.223756Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:637549454fcd26acb1faf6c1c6b712abad825b3fd68327a180fbb8d33b621952","observation_id":"e2ec262d-f60c-4ab7-8767-b9fccee9c23a","resolution":{"observed_at":"2026-08-06T05:46:43.939878Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.923500Z","title":null,"venue":null,"work_id":"a0c129fa-17ea-4d9c-bd39-3e57108d6497","year":2016},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.227522Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:39e4ec341d08ad8f5ab1d400d6775bdd61cedbe44e108be79bd077d22dbf11d9","observation_id":"77505303-d0a2-4aba-b52c-e329942d99b0","resolution":{"observed_at":"2026-08-06T05:46:43.927401Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.231397Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.231397Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:7ab5e260c9ba8c2f902900d937d89075e1546169b7adde7451c19dc63717654e","observation_id":"6beeb278-c01c-4c7e-8417-672cab32462c","resolution":{"observed_at":"2026-08-06T05:46:43.231397Z","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":"10.1038/nrn1931","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.460072Z","title":"D., & Rees, G","venue":null,"work_id":"4e7c8db5-9661-402e-824c-c635194b2fce","year":2006},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.235113Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:088006210e1a0982aa200aeaaabc33ef079b2057234983ad306cb6919f159d48","observation_id":"7cd0c86e-5803-4067-93ef-02bf61e1d938","resolution":{"observed_at":"2026-08-06T05:46:43.464001Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.910426Z","title":null,"venue":null,"work_id":"7624408c-3188-4597-b4d0-81b87ed67d33","year":1989},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.238915Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:b71440f9c096ad0e4c8edb0270c08ed627193f54deba34ed7209ebcfb5f42e97","observation_id":"677a976f-6c5d-44ee-a64c-c62b16ccdc8a","resolution":{"observed_at":"2026-08-06T05:46:43.914038Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.897451Z","title":"G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Adam, H","venue":null,"work_id":"d5eed46d-2a93-4798-8db3-ac6896ae3786","year":2017},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.242438Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:c8a7bfa3c33fbfe6e39bbabb0347849026e3e071fb0db927991eb60df8ca4bf2","observation_id":"b52ef913-3398-4e53-92c6-5fef9da2b70e","resolution":{"observed_at":"2026-08-06T05:46:43.901489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.883568Z","title":null,"venue":null,"work_id":"15897c2e-e00f-44a4-aaa6-d913a463db99","year":2017},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.245997Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:728aaf059d15940fa46ff683fdc05d0a543b13b6a7f738a5b6684c97513456bd","observation_id":"c78108c6-c983-4d2d-be55-86ee3bfe19b6","resolution":{"observed_at":"2026-08-06T05:46:43.887867Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.869805Z","title":null,"venue":null,"work_id":"c5a822ab-eac5-4ece-9070-3d635178d994","year":1995},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.249721Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:44bdd13e263c05e221d66927ca5fffa5bcce1d98ea51dec63110a5d6f7dc950f","observation_id":"4663762e-c859-4a3a-baf6-f1df87f9949c","resolution":{"observed_at":"2026-08-06T05:46:43.874508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0161788","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.445914Z","title":"N., & Vicente, R","venue":null,"work_id":"75b128a7-840b-48f2-9a25-6eee2665b51a","year":2016},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.253657Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:35a4b1549741a2462b28f585942bc5af4ce01cbbf98bd2b26bb92f43a07e3028","observation_id":"1365b8ac-80bf-4650-984a-b27338da1d1c","resolution":{"observed_at":"2026-08-06T05:46:43.450544Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.856334Z","title":null,"venue":null,"work_id":"9fc98c3c-74fd-442a-9c10-ee611dbd69de","year":2017},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.257513Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:22a45c663b1dec779dd62e800e09e849381dd5fdf2e793ffc95f7966a1502ff5","observation_id":"bb2c649e-e7fe-4651-af31-4d591fd16fac","resolution":{"observed_at":"2026-08-06T05:46:43.860418Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bib/bbk007","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.432632Z","title":null,"venue":null,"work_id":"c8ed0371-e6a1-4afe-8498-8b843ed27e7f","year":2006},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.261176Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:7503596bd42c7b35d0f58df470c357679b4f587aa862f492894c3b1b5f18f1fb","observation_id":"7067a891-9a27-4752-8025-8e459d4bde90","resolution":{"observed_at":"2026-08-06T05:46:43.436507Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.842482Z","title":null,"venue":null,"work_id":"6951cfb7-2282-472d-a647-1ec27d197474","year":2018},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.265005Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:e641818e18e126e3ddf1a0ba772c9dc9c15dee8aaa2990d4bb38642e9aa08f2f","observation_id":"4e27efa6-21b5-45f6-9304-8e778f4e3ae6","resolution":{"observed_at":"2026-08-06T05:46:43.846397Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.828177Z","title":null,"venue":null,"work_id":"8952f5cc-97d3-447e-8538-32b9321f66ae","year":1990},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.269023Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:37a83d2a19766ef0d01d60061095487a3a62aa34cb02798ae87eef8abe1c367f","observation_id":"41436a31-b0ec-4216-a8a9-2d64ecf95845","resolution":{"observed_at":"2026-08-06T05:46:43.832520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02590","last_updated":"2019-11-06T19:04:16Z","snapshot_observed_at":"2026-07-06T08:35:15.491391Z","submitted_at":"2019-11-06T19:04:16Z","title":"Optimizing Millions of Hyperparameters by Implicit Differentiation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02590","snapshot_observed_at":"2026-08-06T05:46:43.273021Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.273021Z"},"links":{"cited_paper":"/paper/1911.02590","citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:a39a9049f2625dd4ace7caf09e91fd4c32838f0b60bf54f184e7b624c7e1cdd0","observation_id":"49f2052f-1cc3-46dd-b34a-224b76b1fcac","resolution":{"observed_at":"2026-08-06T05:46:43.273021Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.813607Z","title":"S., & Pitts, W","venue":null,"work_id":"ffbe968a-7324-40a8-8dfa-72b00479b786","year":1943},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.277554Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:c0b996b83247e38e63d72b1cb2535a23c6e0bff8c4722e6fb9bc018636c82331","observation_id":"19bcbc84-8f56-4e3a-8748-b3179bd8d162","resolution":{"observed_at":"2026-08-06T05:46:43.817798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.799144Z","title":null,"venue":null,"work_id":"22dbc02b-c08b-4337-b30f-f59aa39f7e83","year":2023},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.281239Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:ef52efea226e1414d94ce3ccc6cffe4ee5461db83215a58c9a4007867695d61a","observation_id":"15b40c59-9cd8-4007-ae10-65c3dca95a7a","resolution":{"observed_at":"2026-08-06T05:46:43.803175Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neuroimage.2008.11.007","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.419434Z","title":null,"venue":null,"work_id":"9be53eb1-2d8e-41af-a9ea-cb2e39346499","year":2009},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.285218Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:af60b145cffe67fd887af0ce6671f77c19a782d914b33596e089bddf34a32c38","observation_id":"ad9f8545-565e-4242-b593-8487893f6835","resolution":{"observed_at":"2026-08-06T05:46:43.423354Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.289694Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.289694Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:6a40715597e863c5ee583694d9620d9654a0d718abef70ca0794b115fb03583f","observation_id":"97391edf-16f1-483a-bd61-71e8e76a06c6","resolution":{"observed_at":"2026-08-06T05:46:43.289694Z","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":"1993.68361","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.576673Z","title":null,"venue":null,"work_id":"c0a1e57f-7f24-45f5-8ab0-89f3ce0e3257","year":1993},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.293721Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:03fe9307fe146d4a00b758d4e19af60708bcc77bcd4293ec0e2510a8f696eb5f","observation_id":"5c77ffb2-3594-44e2-9d9a-11b64c8f8e10","resolution":{"observed_at":"2026-08-06T05:46:43.583214Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/bf00141417","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.395361Z","title":null,"venue":null,"work_id":"8169d215-74b2-4270-848f-fbf1756bb304","year":1994},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.297534Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:5fe1d4c2a231add4bb4db279a9b2b759850fefbd6a2c4fedda44ba44c715e916","observation_id":"1a259ed3-fd89-4653-be5d-415be8edfe43","resolution":{"observed_at":"2026-08-06T05:46:43.400096Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0893-6080(97)00056-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.380897Z","title":"V., & Villa, A","venue":null,"work_id":"1648e555-2925-4041-b73e-49cf9d1a0570","year":1997},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.301335Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:18edce3074c2f7bc6cfdc324015fc4462ce6a8f2d15cb908ecfc8be52af1db35","observation_id":"72fce974-8024-42d8-950f-6cc2098bc9ae","resolution":{"observed_at":"2026-08-06T05:46:43.385150Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/ci00027a002","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.365679Z","title":"V., Livingstone, D","venue":null,"work_id":"3c41ed2b-2885-41f3-82ce-a3356e3b99a0","year":1995},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.305173Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:db17be276888ceec680ed7e85f4221037c04721a66c8dfeec6393f892d9615d1","observation_id":"b3b8baf3-b99b-4775-b7e7-61205296c040","resolution":{"observed_at":"2026-08-06T05:46:43.371071Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.784937Z","title":null,"venue":null,"work_id":"1bdf77e9-952d-44ae-8724-0ffc759ee2fb","year":1996},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.309020Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:d2b25290aacc6fb5568d707bbbe5cd0040f8aa753e949c564a50c4e1da9cc1bb","observation_id":"386c26e5-b3f7-45a3-ad3e-72a41f6a1d58","resolution":{"observed_at":"2026-08-06T05:46:43.789376Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.312767Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.312767Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:4245480c58899d4287cc984c8b84116b55362d15a5feff56d4354106d296b7f9","observation_id":"31f0f115-60de-476d-ade9-9489207920b9","resolution":{"observed_at":"2026-08-06T05:46:43.312767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08276","last_updated":"2024-05-14T02:11:38Z","snapshot_observed_at":"2026-08-05T07:02:30.013320Z","submitted_at":"2024-05-14T02:11:38Z","title":"Scalable Subsampling Inference for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2405.08276","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.08276","snapshot_observed_at":"2026-08-06T05:46:43.488973Z","title":"Scalable Subsampling Inference for Deep Neural Networks","venue":"stat.ML","work_id":"61c59aaf-4ada-439c-8280-5671fdb5d00c","year":2024},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.317012Z"},"links":{"cited_paper":"/paper/2405.08276","citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:3afbf8fd9936c95ee489774ecf92415c881bf4346367bff6f9494e9b3de53c5f","observation_id":"e8cb6aa6-3d9a-495b-bff3-a0e16cbc5edb","resolution":{"observed_at":"2026-08-06T05:46:43.494782Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.771043Z","title":null,"venue":null,"work_id":"fce0861d-bef4-4932-aa3b-05634345e83a","year":2019},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.320904Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:21cd1249306d44929a6e1a4f26c99d56a92a398153b3ffe79adfcb48bbaf5bb0","observation_id":"13dcfff0-2a43-4786-ba00-77323801b063","resolution":{"observed_at":"2026-08-06T05:46:43.775398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:43.757743Z","title":null,"venue":null,"work_id":"e0e6b4e6-faeb-4f0a-a0d9-d11b38968261","year":2019},"citing_paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:43.324596Z"},"links":{"citing_paper":"/paper/2508.01325"},"observation_digest":"sha256:b8cd3850d2ca47ad2b896677e6f0751e030e7514d8788dd2e92ca1bb037b4155","observation_id":"c17b627b-7708-4bda-9a32-f29d3b2787eb","resolution":{"observed_at":"2026-08-06T05:46:43.761657Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.01325","last_updated":"2025-08-02T11:32:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T05:12:32.804440Z","submitted_at":"2025-08-02T11:32:47Z","title":"Fusion Sampling Validation in Data Partitioning for Machine Learning"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":26,"verified_exact":8,"verified_fuzzy":2},"total_outbound_references":38},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2508.01325."}