{"as_of":"2026-08-12T05:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:00bdc08809219086b98b384a9ec05cdb6342eb56445af373c5d40d30c77f832f","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:58:34.746802Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T16:48:57.989175Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.04326","last_updated":"2021-04-23T12:20:00Z","snapshot_observed_at":"2026-08-11T19:36:13.530711Z","submitted_at":"2021-04-09T12:17:26Z","title":"CropGym: a Reinforcement Learning Environment for Crop Management","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.04326","snapshot_observed_at":"2026-08-11T23:58:34.746802Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02057","last_updated":"2025-02-24T16:57:07Z","snapshot_observed_at":"2026-08-11T23:50:49.431843Z","submitted_at":"2024-12-03T00:30:19Z","title":"Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T23:58:34.746802Z"},"links":{"cited_paper":"/paper/2104.04326","citing_paper":"/paper/2412.02057"},"observation_digest":"sha256:4292d3073d57f7d6e78feb8939f342156eb40eb8602ce15469979833749c55b4","observation_id":"ddce6689-a5f4-40a6-8671-b15469ca4dac","resolution":{"observed_at":"2026-08-11T23:58:34.746802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.04326","last_updated":"2021-04-23T12:20:00Z","snapshot_observed_at":"2026-08-11T19:36:13.530711Z","submitted_at":"2021-04-09T12:17:26Z","title":"CropGym: a Reinforcement Learning Environment for Crop Management","version":2},"cited_work":{"arxiv_id":"2104.04326","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.04326","snapshot_observed_at":"2026-08-10T16:48:57.989175Z","title":"CropGym: a Reinforcement Learning Environment for Crop Management","venue":"cs.LG","work_id":"3b45ad52-ea3b-468b-a895-eaf2702f4e54","year":2021},"citing_paper":{"arxiv_id":"2501.12823","last_updated":"2025-01-22T12:03:53Z","snapshot_observed_at":"2026-08-10T16:42:40.710243Z","submitted_at":"2025-01-22T12:03:53Z","title":"To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T16:48:57.853513Z"},"links":{"cited_paper":"/paper/2104.04326","citing_paper":"/paper/2501.12823"},"observation_digest":"sha256:91ff58840e38ec6009e253e5f200db205f99fb6d5b5884b17a01fe0fcdcb2c89","observation_id":"fcb8ca70-fc4c-4479-86d5-8b43cbc14cd7","resolution":{"observed_at":"2026-08-10T16:48:57.992950Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2104.04326/citation-record","integrity":"/paper/2104.04326/integrity","json":"/paper/2104.04326/citation-record.json","paper":"/paper/2104.04326"},"outbound":[],"paper":{"arxiv_id":"2104.04326","last_updated":"2021-04-23T12:20:00Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T19:36:13.530711Z","submitted_at":"2021-04-09T12:17:26Z","title":"CropGym: a Reinforcement Learning Environment for Crop Management"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.04326."}