{"as_of":"2026-08-08T20:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1d0817ae34c5aada7f59c400b26e91389bb602d1a0ad6e1e645d23a19228c9ef","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:14:44.461870Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T20:10:08.806195Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.04180","last_updated":"2022-12-08T10:34:42Z","snapshot_observed_at":"2026-08-07T15:19:01.325646Z","submitted_at":"2022-12-08T10:34:42Z","title":"evosax: JAX-based Evolution Strategies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04180","snapshot_observed_at":"2026-08-07T13:14:44.461870Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22696","last_updated":"2025-05-28T13:15:18Z","snapshot_observed_at":"2026-08-07T13:07:41.654491Z","submitted_at":"2025-05-28T13:15:18Z","title":"When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:44.461870Z"},"links":{"cited_paper":"/paper/2212.04180","citing_paper":"/paper/2505.22696"},"observation_digest":"sha256:799e4b1c1671b39b0283ea02d9e847b2073340ec895be19b0b63a964b2c4c829","observation_id":"0d7177a0-3a39-47a9-afd7-c253832472e3","resolution":{"observed_at":"2026-08-07T13:14:44.461870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04180","last_updated":"2022-12-08T10:34:42Z","snapshot_observed_at":"2026-08-07T15:19:01.325646Z","submitted_at":"2022-12-08T10:34:42Z","title":"evosax: JAX-based Evolution Strategies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04180","snapshot_observed_at":"2026-08-06T14:48:48.110073Z","title":"evosax: JAX -based Evolution Strategies","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.17668","last_updated":"2025-09-10T12:25:27Z","snapshot_observed_at":"2026-08-08T15:32:47.481175Z","submitted_at":"2025-07-23T16:31:38Z","title":"How Should We Meta-Learn Reinforcement Learning Algorithms?","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T14:48:48.110073Z"},"links":{"cited_paper":"/paper/2212.04180","citing_paper":"/paper/2507.17668"},"observation_digest":"sha256:4a75cb513467510e3c93f62d349dabab3b8a544a82870882d60716e2ee82ad02","observation_id":"1c5b6137-edd7-4d39-98f1-7d410a52472f","resolution":{"observed_at":"2026-08-06T14:48:48.110073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04180","last_updated":"2022-12-08T10:34:42Z","snapshot_observed_at":"2026-08-07T15:19:01.325646Z","submitted_at":"2022-12-08T10:34:42Z","title":"evosax: JAX-based Evolution Strategies","version":1},"cited_work":{"arxiv_id":"2212.04180","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.04180","snapshot_observed_at":"2026-07-04T20:10:08.806195Z","title":"arXiv preprint arXiv:2212.04180 , year=","venue":null,"work_id":"95828b93-de3f-4dad-aef6-9b5ec8c75e1e","year":2022},"citing_paper":{"arxiv_id":"2606.02385","last_updated":"2026-06-01T15:34:34Z","snapshot_observed_at":"2026-07-06T23:42:49.173711Z","submitted_at":"2026-06-01T15:34:34Z","title":"How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-06-28T11:36:45.020411Z"},"links":{"cited_paper":"/paper/2212.04180","citing_paper":"/paper/2606.02385"},"observation_digest":"sha256:f064fe1290c45c91b14ed8d9766945d7a9dee76d116930c3f9f50d42e77db82f","observation_id":"d1b928ac-25de-490a-a5ef-be3c5c11e434","resolution":{"observed_at":"2026-07-02T01:46:26.305619Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2212.04180","last_updated":"2022-12-08T10:34:42Z","snapshot_observed_at":"2026-08-07T15:19:01.325646Z","submitted_at":"2022-12-08T10:34:42Z","title":"evosax: JAX-based Evolution Strategies","version":1},"cited_work":{"arxiv_id":"2212.04180","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.04180","snapshot_observed_at":"2026-07-04T20:10:08.806195Z","title":"arXiv preprint arXiv:2212.04180 , year=","venue":null,"work_id":"95828b93-de3f-4dad-aef6-9b5ec8c75e1e","year":2022},"citing_paper":{"arxiv_id":"2606.25761","last_updated":"2026-06-24T12:35:30Z","snapshot_observed_at":"2026-08-01T08:49:04.476033Z","submitted_at":"2026-06-24T12:35:30Z","title":"Bridging Spherical Black-Box Optimizers","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-25T20:32:46.418304Z"},"links":{"cited_paper":"/paper/2212.04180","citing_paper":"/paper/2606.25761"},"observation_digest":"sha256:68138686404866bd02491a42c59ce9432a55cdf9bc8bf0807bd952189d86f5c8","observation_id":"b2184db0-1940-4553-ac5d-076f1ce7e459","resolution":{"observed_at":"2026-07-04T20:10:08.807574Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2212.04180/citation-record","integrity":"/paper/2212.04180/integrity","json":"/paper/2212.04180/citation-record.json","paper":"/paper/2212.04180"},"outbound":[],"paper":{"arxiv_id":"2212.04180","last_updated":"2022-12-08T10:34:42Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-07T15:19:01.325646Z","submitted_at":"2022-12-08T10:34:42Z","title":"evosax: JAX-based Evolution Strategies"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.04180."}