{"as_of":"2026-08-11T20:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:861e0e2ef319a78d1b0c9bde7fae8f86bc8ba6806a121e349fcc3ef1b39b1dbe","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":"2026-08-11T06:34:44.6726+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":"2026-08-11T17:34:00.510352Z","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":"2026-08-06T10:40:39.028320Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.11498","last_updated":"2024-08-30T14:07:35Z","snapshot_observed_at":"2026-08-09T12:25:08.401124Z","submitted_at":"2022-12-22T06:18:41Z","title":"Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.11498","snapshot_observed_at":"2026-08-11T12:00:51.021768Z","title":"a fer, Andrew Wing Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter B \\","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.14779","last_updated":"2024-12-19T12:05:13Z","snapshot_observed_at":"2026-08-11T11:53:29.230650Z","submitted_at":"2024-12-19T12:05:13Z","title":"Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T12:00:51.021768Z"},"links":{"cited_paper":"/paper/2212.11498","citing_paper":"/paper/2412.14779"},"observation_digest":"sha256:ea87d6ce8d4eeea7903268df288321c05b39dec00c39d3b390071819831698d3","observation_id":"d667488a-f2a6-4b9b-9f03-0ca23347c892","resolution":{"observed_at":"2026-08-11T12:00:51.021768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11498","last_updated":"2024-08-30T14:07:35Z","snapshot_observed_at":"2026-08-09T12:25:08.401124Z","submitted_at":"2022-12-22T06:18:41Z","title":"Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.11498","snapshot_observed_at":"2026-08-11T17:34:00.510352Z","title":"a fer, L.; B \\","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.10367","last_updated":"2024-12-12T03:01:36Z","snapshot_observed_at":"2026-08-11T17:25:31.813096Z","submitted_at":"2024-12-12T03:01:36Z","title":"GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T17:34:00.510352Z"},"links":{"cited_paper":"/paper/2212.11498","citing_paper":"/paper/2501.10367"},"observation_digest":"sha256:bda4063a4de35131ebf4ae4b29a2f37cf5e64b83b8037b07ff2f01f5c7f7746a","observation_id":"b3d9e668-2484-4480-9de4-304b305bd6ec","resolution":{"observed_at":"2026-08-11T17:34:00.510352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11498","last_updated":"2024-08-30T14:07:35Z","snapshot_observed_at":"2026-08-09T12:25:08.401124Z","submitted_at":"2022-12-22T06:18:41Z","title":"Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers","version":3},"cited_work":{"arxiv_id":"2212.11498","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.11498","snapshot_observed_at":"2026-08-06T10:40:39.028320Z","title":"Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers","venue":"cs.LG","work_id":"f223c790-5b52-4fc4-be7c-aa709e1d83da","year":2022},"citing_paper":{"arxiv_id":"2507.23604","last_updated":"2026-06-30T11:26:47Z","snapshot_observed_at":"2026-08-07T03:53:17.805976Z","submitted_at":"2025-07-31T14:42:12Z","title":"Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T10:40:38.787605Z"},"links":{"cited_paper":"/paper/2212.11498","citing_paper":"/paper/2507.23604"},"observation_digest":"sha256:e46466b8f7aa78635241aacc5f61a09741caa9a0733e7c448760b47c51bc769c","observation_id":"b113662b-ffa0-4005-a495-e1b69c97dc56","resolution":{"observed_at":"2026-08-06T10:40:39.031564Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11498","last_updated":"2024-08-30T14:07:35Z","snapshot_observed_at":"2026-08-09T12:25:08.401124Z","submitted_at":"2022-12-22T06:18:41Z","title":"Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.11498","snapshot_observed_at":"2026-08-10T14:00:57.473854Z","title":"doi: https://doi.org/10.1016/B978-0-12-815073-3.00012-0","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07148","last_updated":"2026-08-07T12:10:08Z","snapshot_observed_at":"2026-08-11T20:10:56.754503Z","submitted_at":"2026-08-07T12:10:08Z","title":"A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:57.473854Z"},"links":{"cited_paper":"/paper/2212.11498","citing_paper":"/paper/2608.07148"},"observation_digest":"sha256:3ea465c62e0f1abd73b76b5e4e6ce80a62f4bd6a7191dbded8ad3fff5099900a","observation_id":"db4e7d24-f182-4be9-a0b8-d6cb954a6dd5","resolution":{"observed_at":"2026-08-10T14:00:57.473854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2212.11498/citation-record","integrity":"/paper/2212.11498/integrity","json":"/paper/2212.11498/citation-record.json","paper":"/paper/2212.11498"},"outbound":[],"paper":{"arxiv_id":"2212.11498","last_updated":"2024-08-30T14:07:35Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T12:25:08.401124Z","submitted_at":"2022-12-22T06:18:41Z","title":"Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers"},"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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.11498."}