{"as_of":"2026-08-06T01:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b21a0fc6c0890d31e253ec0955ec63de0e5a5bda4f84c289ceb1a1ae22635fe6","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T13:59:45.153788Z","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":6,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.03475","last_updated":"2023-11-13T23:32:29Z","snapshot_observed_at":"2026-07-06T14:01:50.333970Z","submitted_at":"2022-10-07T11:58:08Z","title":"Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization","version":2},"cited_work":{"arxiv_id":"2210.03475","doi":"10.48550/arxiv.2210.03475","metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03475","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"3ac91e20-8c20-43b6-89d5-07dd3747ae11","year":2022},"citing_paper":{"arxiv_id":"2606.10611","last_updated":"2026-06-09T09:11:36Z","snapshot_observed_at":"2026-08-01T14:57:20.334017Z","submitted_at":"2026-06-09T09:11:36Z","title":"Geometry-Aware Reinforcement Learning for 2D Irregular Nesting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T13:59:45.153788Z"},"links":{"cited_paper":"/paper/2210.03475","citing_paper":"/paper/2606.10611"},"observation_digest":"sha256:d2fb4c1d3487c17dbfc3379f5f6d19e9e4cf61adfa49cbedabf078e392362de7","observation_id":"5d118c24-4596-4bbb-bcd6-51414fc233c2","resolution":{"observed_at":"2026-06-27T14:00:59.279035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.03475/citation-record","integrity":"/paper/2210.03475/integrity","json":"/paper/2210.03475/citation-record.json","paper":"/paper/2210.03475"},"outbound":[],"paper":{"arxiv_id":"2210.03475","last_updated":"2023-11-13T23:32:29Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T14:01:50.333970Z","submitted_at":"2022-10-07T11:58:08Z","title":"Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2210.03475."}