{"as_of":"2026-08-15T15:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c756042bf7137836fb7fe6b4ce749f44fb61ba765f21cbfc76c9de4e3efc289","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:36:45.141325Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.12794","last_updated":"2025-03-17T10:18:45Z","snapshot_observed_at":"2026-08-13T10:28:19.779036Z","submitted_at":"2023-08-24T13:49:48Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12794","snapshot_observed_at":"2026-08-11T12:36:45.141325Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14052","last_updated":"2024-12-18T17:05:33Z","snapshot_observed_at":"2026-08-11T12:29:38.227322Z","submitted_at":"2024-12-18T17:05:33Z","title":"Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T12:36:45.141325Z"},"links":{"cited_paper":"/paper/2308.12794","citing_paper":"/paper/2412.14052"},"observation_digest":"sha256:ae2c89d62a503184c0fa333a56d31aae42a41293697b2cd6314468e1c333d7ea","observation_id":"22dbc66d-58fd-435d-b5c7-76a771921257","resolution":{"observed_at":"2026-08-11T12:36:45.141325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12794","last_updated":"2025-03-17T10:18:45Z","snapshot_observed_at":"2026-08-13T10:28:19.779036Z","submitted_at":"2023-08-24T13:49:48Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods","version":2},"cited_work":{"arxiv_id":"2308.12794","doi":"10.48550/arxiv.2308.12794","metadata_source":"arxiv_reference","pith_arxiv_id":"2308.12794","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reijnen, I","venue":null,"work_id":"43e33edf-4c9a-4ce6-9c3b-fe65e49b9244","year":2025},"citing_paper":{"arxiv_id":"2501.16159","last_updated":"2026-05-05T14:29:36Z","snapshot_observed_at":"2026-08-13T08:37:22.534357Z","submitted_at":"2025-01-27T15:56:12Z","title":"A Benchmarking Suite for Flexible Job Shop Scheduling Problems with Worker Flexibility under Uncertainty","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-23T04:51:57.655138Z"},"links":{"cited_paper":"/paper/2308.12794","citing_paper":"/paper/2501.16159"},"observation_digest":"sha256:7d55330facc2953a7b4047ed85cd93eca7181554d5f134bc6ecd45dddef1acc1","observation_id":"253fba74-44cd-4794-bb6d-1631d52a31ca","resolution":{"observed_at":"2026-05-23T04:52:33.663939Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12794","last_updated":"2025-03-17T10:18:45Z","snapshot_observed_at":"2026-08-13T10:28:19.779036Z","submitted_at":"2023-08-24T13:49:48Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12794","snapshot_observed_at":"2026-08-10T04:29:15.048414Z","title":"Job shop scheduling benchmark: Environments and instances for learning and non-learning methods","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.17991","last_updated":"2025-01-29T20:55:53Z","snapshot_observed_at":"2026-08-14T00:15:08.004765Z","submitted_at":"2025-01-29T20:55:53Z","title":"Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T04:29:15.048414Z"},"links":{"cited_paper":"/paper/2308.12794","citing_paper":"/paper/2501.17991"},"observation_digest":"sha256:471da1ef607e8b9473a8bf3a601cba80050408b67d04043475847e4e681b0c43","observation_id":"21183623-e437-4ff0-99ec-b953f717ee3a","resolution":{"observed_at":"2026-08-10T04:29:15.048414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12794","last_updated":"2025-03-17T10:18:45Z","snapshot_observed_at":"2026-08-13T10:28:19.779036Z","submitted_at":"2023-08-24T13:49:48Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12794","snapshot_observed_at":"2026-08-07T15:05:32.991899Z","title":"Job shop scheduling benchmark: Environments and instances for learning and non-learning methods","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.16471","last_updated":"2025-05-24T10:58:05Z","snapshot_observed_at":"2026-08-14T06:44:54.908617Z","submitted_at":"2025-05-22T09:53:54Z","title":"Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T15:05:32.991899Z"},"links":{"cited_paper":"/paper/2308.12794","citing_paper":"/paper/2505.16471"},"observation_digest":"sha256:2ecddd3403e89bca55c1d93604f1b2d76860619c64f445b9d93fd6b9a34f7dcb","observation_id":"f3a9487e-404c-4fa0-b8d1-14a2cf0616e5","resolution":{"observed_at":"2026-08-07T15:05:32.991899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12794","last_updated":"2025-03-17T10:18:45Z","snapshot_observed_at":"2026-08-13T10:28:19.779036Z","submitted_at":"2023-08-24T13:49:48Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12794","snapshot_observed_at":"2026-08-07T00:34:02.134736Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13566","last_updated":"2025-06-17T15:27:49Z","snapshot_observed_at":"2026-08-14T11:36:21.166106Z","submitted_at":"2025-06-16T14:50:26Z","title":"A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:34:02.134736Z"},"links":{"cited_paper":"/paper/2308.12794","citing_paper":"/paper/2506.13566"},"observation_digest":"sha256:3362115db7690bf1e2ec738cdf6ed81773a9ccdf80a9a8b863d5b67837c337b3","observation_id":"bd5c499c-8bb7-4e20-a3f9-cadbb56dc986","resolution":{"observed_at":"2026-08-07T00:34:02.134736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12794","last_updated":"2025-03-17T10:18:45Z","snapshot_observed_at":"2026-08-13T10:28:19.779036Z","submitted_at":"2023-08-24T13:49:48Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods","version":2},"cited_work":{"arxiv_id":"2308.12794","doi":"10.48550/arxiv.2308.12794","metadata_source":"arxiv_reference","pith_arxiv_id":"2308.12794","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Reijnen, I","venue":null,"work_id":"43e33edf-4c9a-4ce6-9c3b-fe65e49b9244","year":2025},"citing_paper":{"arxiv_id":"2605.18454","last_updated":"2026-05-18T14:19:59Z","snapshot_observed_at":"2026-07-06T23:29:20.279470Z","submitted_at":"2026-05-18T14:19:59Z","title":"Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-20T12:34:26.554550Z"},"links":{"cited_paper":"/paper/2308.12794","citing_paper":"/paper/2605.18454"},"observation_digest":"sha256:20f0c5c82af28dc8a5da73e4834d11e05bd0a0f89b907dbe5feb1603bad34ea0","observation_id":"f8476112-4998-4a93-a408-efc2a2227573","resolution":{"observed_at":"2026-05-20T12:38:16.989622Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.12794/citation-record","integrity":"/paper/2308.12794/integrity","json":"/paper/2308.12794/citation-record.json","paper":"/paper/2308.12794"},"outbound":[],"paper":{"arxiv_id":"2308.12794","last_updated":"2025-03-17T10:18:45Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-13T10:28:19.779036Z","submitted_at":"2023-08-24T13:49:48Z","title":"Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.12794."}