{"as_of":"2026-08-23T18:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ad44efda1060634f1eb48c5c4bc213e36290a5fc4dc7f177c44e310e3f14fe92","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:51:41.245186Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":69,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1810.05934","last_updated":"2020-03-16T01:28:21Z","snapshot_observed_at":"2026-08-17T05:57:06.528427Z","submitted_at":"2018-10-13T22:02:52Z","title":"A System for Massively Parallel Hyperparameter Tuning","version":5},"cited_work":{"arxiv_id":"1810.05934","doi":"10.48550/arxiv.1810.05934","metadata_source":"arxiv_reference","pith_arxiv_id":"1810.05934","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Massively parallel hyperparameter tuning","venue":"arXiv (Cornell University)","work_id":"a48c4f6d-adc1-44d4-9f82-af42198e79b2","year":2018},"citing_paper":{"arxiv_id":"1910.09700","last_updated":"2019-11-04T20:37:33Z","snapshot_observed_at":"2026-08-21T21:33:36.848946Z","submitted_at":"2019-10-21T23:57:32Z","title":"Quantifying the Carbon Emissions of Machine Learning","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-15T05:52:44.416475Z"},"links":{"cited_paper":"/paper/1810.05934","citing_paper":"/paper/1910.09700"},"observation_digest":"sha256:69c3e9c40f662a46610c23ba897f3d6eade5480b47ef0578b7dd20491b956ea9","observation_id":"ee2b3726-73b2-461b-9823-055ac5b53e9c","resolution":{"observed_at":"2026-05-15T05:52:44.468625Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.05934","last_updated":"2020-03-16T01:28:21Z","snapshot_observed_at":"2026-08-17T05:57:06.528427Z","submitted_at":"2018-10-13T22:02:52Z","title":"A System for Massively Parallel Hyperparameter Tuning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.05934","snapshot_observed_at":"2026-08-07T10:51:41.245186Z","title":"A system for massively parallel hyperparameter tuning.CoRR, abs/1810.05934, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.04349","last_updated":"2025-06-04T18:04:58Z","snapshot_observed_at":"2026-08-15T05:48:10.681780Z","submitted_at":"2025-06-04T18:04:58Z","title":"You Only Train Once","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:51:41.245186Z"},"links":{"cited_paper":"/paper/1810.05934","citing_paper":"/paper/2506.04349"},"observation_digest":"sha256:49676ae85f3016235c282e8880e0c30dd8c2bfa1d67cdc394cd932a21d15492f","observation_id":"5ed902e8-b543-437f-a19c-22b1521b1d02","resolution":{"observed_at":"2026-08-07T10:51:41.245186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.05934","last_updated":"2020-03-16T01:28:21Z","snapshot_observed_at":"2026-08-17T05:57:06.528427Z","submitted_at":"2018-10-13T22:02:52Z","title":"A System for Massively Parallel Hyperparameter Tuning","version":5},"cited_work":{"arxiv_id":"1810.05934","doi":"10.48550/arxiv.1810.05934","metadata_source":"arxiv_reference","pith_arxiv_id":"1810.05934","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Massively parallel hyperparameter tuning","venue":"arXiv (Cornell University)","work_id":"a48c4f6d-adc1-44d4-9f82-af42198e79b2","year":2018},"citing_paper":{"arxiv_id":"2604.17842","last_updated":"2026-04-20T05:51:50Z","snapshot_observed_at":"2026-08-14T08:57:44.342951Z","submitted_at":"2026-04-20T05:51:50Z","title":"QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-10T04:27:11.735657Z"},"links":{"cited_paper":"/paper/1810.05934","citing_paper":"/paper/2604.17842"},"observation_digest":"sha256:dc5c8cb8f173c2e5477fb1d5391bdcfbe9b82e1681519adfe712972462fdcf93","observation_id":"922f65f4-ed94-4c72-a647-5165d51d39fb","resolution":{"observed_at":"2026-05-11T11:56:29.502274Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.05934","last_updated":"2020-03-16T01:28:21Z","snapshot_observed_at":"2026-08-17T05:57:06.528427Z","submitted_at":"2018-10-13T22:02:52Z","title":"A System for Massively Parallel Hyperparameter Tuning","version":5},"cited_work":{"arxiv_id":"1810.05934","doi":"10.48550/arxiv.1810.05934","metadata_source":"arxiv_reference","pith_arxiv_id":"1810.05934","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Massively parallel hyperparameter tuning","venue":"arXiv (Cornell University)","work_id":"a48c4f6d-adc1-44d4-9f82-af42198e79b2","year":2018},"citing_paper":{"arxiv_id":"2605.12503","last_updated":"2026-05-12T17:59:59Z","snapshot_observed_at":"2026-08-17T14:21:28.543584Z","submitted_at":"2026-05-12T17:59:59Z","title":"Unveiling Hidden Lyman Alpha Emitters in the DESI DR1 Data","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-13T03:10:30.068763Z"},"links":{"cited_paper":"/paper/1810.05934","citing_paper":"/paper/2605.12503"},"observation_digest":"sha256:50ffada2e6560d0e5c28b5f78b49ce57c41c057ac8429e14ba82e2007bf0b38d","observation_id":"06dc5726-219e-4db3-ab19-674a911fdfb2","resolution":{"observed_at":"2026-05-13T03:12:09.158558Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.05934","last_updated":"2020-03-16T01:28:21Z","snapshot_observed_at":"2026-08-17T05:57:06.528427Z","submitted_at":"2018-10-13T22:02:52Z","title":"A System for Massively Parallel Hyperparameter Tuning","version":5},"cited_work":{"arxiv_id":"1810.05934","doi":"10.48550/arxiv.1810.05934","metadata_source":"arxiv_reference","pith_arxiv_id":"1810.05934","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Massively parallel hyperparameter tuning","venue":"arXiv (Cornell University)","work_id":"a48c4f6d-adc1-44d4-9f82-af42198e79b2","year":2018},"citing_paper":{"arxiv_id":"2605.29698","last_updated":"2026-05-28T09:58:59Z","snapshot_observed_at":"2026-08-16T16:27:56.659903Z","submitted_at":"2026-05-28T09:58:59Z","title":"A Systematic Evaluation of Molecular Mixture Behavior Prediction","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-06-29T08:56:08.571194Z"},"links":{"cited_paper":"/paper/1810.05934","citing_paper":"/paper/2605.29698"},"observation_digest":"sha256:1acc1826182a0fe334ff1c14602e11e76debce21a408c00f54857b1d4dfd70dc","observation_id":"0b5b19e4-3da0-473d-bdad-0cc74555aed5","resolution":{"observed_at":"2026-06-29T09:03:16.083007Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.05934","last_updated":"2020-03-16T01:28:21Z","snapshot_observed_at":"2026-08-17T05:57:06.528427Z","submitted_at":"2018-10-13T22:02:52Z","title":"A System for Massively Parallel Hyperparameter Tuning","version":5},"cited_work":{"arxiv_id":"1810.05934","doi":"10.48550/arxiv.1810.05934","metadata_source":"arxiv_reference","pith_arxiv_id":"1810.05934","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Massively parallel hyperparameter tuning","venue":"arXiv (Cornell University)","work_id":"a48c4f6d-adc1-44d4-9f82-af42198e79b2","year":2018},"citing_paper":{"arxiv_id":"2606.05186","last_updated":"2026-04-27T21:05:26Z","snapshot_observed_at":"2026-08-13T17:12:42.254335Z","submitted_at":"2026-04-27T21:05:26Z","title":"Staged Factorial Screening for Budget-Constrained Micro-Pretraining","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-01T08:39:46.699786Z"},"links":{"cited_paper":"/paper/1810.05934","citing_paper":"/paper/2606.05186"},"observation_digest":"sha256:ff36451705d969de9a4e82438ad3515e19c2454fedc197fc0f3d545d978a4895","observation_id":"a9e61d8f-b445-4d5e-a86e-5b295471706c","resolution":{"observed_at":"2026-07-01T08:45:34.998208Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1810.05934/citation-record","integrity":"/paper/1810.05934/integrity","json":"/paper/1810.05934/citation-record.json","paper":"/paper/1810.05934"},"outbound":[],"paper":{"arxiv_id":"1810.05934","last_updated":"2020-03-16T01:28:21Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T05:57:06.528427Z","submitted_at":"2018-10-13T22:02:52Z","title":"A System for Massively Parallel Hyperparameter Tuning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1810.05934."}