{"as_of":"2026-08-21T17:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b0c4c975399b02fc89b6e340744c4a2d58c93381b73c766d3a811113a296434","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":"2026-08-21T06:32:19.484+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":"2026-08-10T18:54:19.042501Z","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":"2026-08-10T18:54:19.333581Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.16956","last_updated":"2022-10-30T21:28:22Z","snapshot_observed_at":"2026-08-19T17:36:35.378921Z","submitted_at":"2022-10-30T21:28:22Z","title":"Reward Shaping Using Convolutional Neural Network","version":1},"cited_work":{"arxiv_id":"2210.16956","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.16956","snapshot_observed_at":"2026-08-10T18:54:19.333581Z","title":"Reward Shaping Using Convolutional Neural Network","venue":"cs.AI","work_id":"932aef08-9d62-4203-ba1f-d09524b704b5","year":2022},"citing_paper":{"arxiv_id":"2501.10938","last_updated":"2025-01-19T04:20:24Z","snapshot_observed_at":"2026-08-20T22:13:30.565111Z","submitted_at":"2025-01-19T04:20:24Z","title":"Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T18:54:19.042501Z"},"links":{"cited_paper":"/paper/2210.16956","citing_paper":"/paper/2501.10938"},"observation_digest":"sha256:816bea43f0b7b48ed02a3344cdcb9ea96e65d0a4087aae6a7b0aa386aaeb25fc","observation_id":"0dacecef-2c40-46aa-9e6f-94008007921d","resolution":{"observed_at":"2026-08-10T18:54:19.341068Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.16956/citation-record","integrity":"/paper/2210.16956/integrity","json":"/paper/2210.16956/citation-record.json","paper":"/paper/2210.16956"},"outbound":[],"paper":{"arxiv_id":"2210.16956","last_updated":"2022-10-30T21:28:22Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T17:36:35.378921Z","submitted_at":"2022-10-30T21:28:22Z","title":"Reward Shaping Using Convolutional Neural Network"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2210.16956."}