{"as_of":"2026-08-15T06:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22962ec107aa8bbd90d69ed06daf33924ae06888886b5047fe4455cad89f07e7","coverage":[{"denominator":83,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":83,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:10:26.704584Z","state":"measured"},{"denominator":83,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":83,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.13781/citation-record","integrity":"/paper/2506.13781/integrity","json":"/paper/2506.13781/citation-record.json","paper":"/paper/2506.13781"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.273581Z","title":"Adams, E","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.273581Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:b142ca2f2781e497d2f8022ce60c2c0b3f0d17177d81add2d9107f357df762a1","observation_id":"26d48d6a-8abc-4e2b-8abe-94320ee76a11","resolution":{"observed_at":"2026-08-07T05:10:26.273581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.279998Z","title":"On the bottleneck of graph neural networks and its practical implications","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.279998Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:cf3246a9f68baf884d021a764e71a21e77e668b6ca3b73e334d320ef1512e95c","observation_id":"dde8b095-ffec-4c37-8625-be142447ebd3","resolution":{"observed_at":"2026-08-07T05:10:26.279998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.285553Z","title":"Applegate and W","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.285553Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:37a03aa68107ab9f8e4980c45d85c46c4271408518df596efc552cf3dcb209e6","observation_id":"63949d5b-b9ec-4d9f-84c5-556c83afeddd","resolution":{"observed_at":"2026-08-07T05:10:26.285553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.290512Z","title":"A markovian decision process","venue":null,"work_id":null,"year":1957},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.290512Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:2fd33b9e5c7f46c432faba61327db3f471ce1d22f83e6561dc2db229b48a4027","observation_id":"e17e14a8-61f2-4c87-b928-6d6a809b081a","resolution":{"observed_at":"2026-08-07T05:10:26.290512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.295952Z","title":"Machine learning for combinatorial optimization: A methodological tour d’horizon","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.295952Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:330cde7712ce72630ee57403ff879dd8bc90e27a949d57aa94ec4e5c39967208","observation_id":"495159b4-07ce-4000-aebd-e0f8b1717246","resolution":{"observed_at":"2026-08-07T05:10:26.295952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.815964Z","title":"The disjunctive graph machine representation of the job shop scheduling problem","venue":null,"work_id":"68355c84-a2d8-4f58-aa96-94bad20c5225","year":2000},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.301244Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ee436bbd9e9336d84070711edeba11c71358962c75bf378228dabed44b8e51cb","observation_id":"d95986c5-5c21-47b8-b883-559537c42756","resolution":{"observed_at":"2026-08-07T05:10:28.822190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.798356Z","title":"Boussa\\\" i d, J","venue":null,"work_id":"a221bedd-d031-4300-a50f-e29d4071021c","year":2013},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.307466Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:24765dbe2cdb2154ada37c318e0b6c1e85bf017b0bd2ff95327273093a7df33a","observation_id":"38b1564c-1e20-41d3-86ad-e5e02114efe6","resolution":{"observed_at":"2026-08-07T05:10:28.803783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.312801Z","title":"How attentive are graph attention networks? In International Conference on Learning Representations, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.312801Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:f0a933aadf1f719e55609073c3c2b7eaf92056a16446d678b105c21a6671fbf0","observation_id":"c6a9f828-412a-4c9d-866c-12a084f4e01f","resolution":{"observed_at":"2026-08-07T05:10:26.312801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.771812Z","title":"Khalil, Andrea Lodi, Christopher Morris, and Petar Veličković","venue":null,"work_id":"d57852d3-f129-4f93-a39f-11d7e6522764","year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.317801Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:22754183ad1ad2af01f271163ae0379232e9e8f6dab29ecb9d63c3037be29484","observation_id":"d01a0e02-2690-42fe-9bc1-4ccfcc39abec","resolution":{"observed_at":"2026-08-07T05:10:28.776670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.753641Z","title":"The application/json Media Type for JavaScript Object Notation (JSON)","venue":null,"work_id":"f593ee49-851b-4902-bdae-734de5c2e0cc","year":2006},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.323161Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:f09f3f717f99e85363167225141b8da8b8c3bb963b3d96f22106591e15e90737","observation_id":"1d7ba37d-276c-4a68-ac40-1c5547d9f0f1","resolution":{"observed_at":"2026-08-07T05:10:28.760197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.328232Z","title":null,"venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.328232Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:4cacc775b10cc1b3f85fb3de74f71f1b689927a25845ae076982eb1ecaaa2c6d","observation_id":"67aba178-82b2-47c7-bdd2-8c34cdeb5837","resolution":{"observed_at":"2026-08-07T05:10:26.328232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.736814Z","title":"Graph neural networks are dynamic programmers","venue":null,"work_id":"dc0fcc21-c441-4b14-ba90-2caf5765faa3","year":2022},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.333164Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ade4cacb6a717450454265924fe1e9d3e5439ca53ae4690a4819c76089e6a158","observation_id":"4aea528c-88ca-4707-837e-e7c1a5a22c8d","resolution":{"observed_at":"2026-08-07T05:10:28.742390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.338521Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.338521Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:1bc8c9a03f29d5095883a258b7347f0f1df95a2c75d081988cbf79c84c51fd67","observation_id":"f30c5d7b-652b-49d6-a60c-a611214fd993","resolution":{"observed_at":"2026-08-07T05:10:26.338521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.710508Z","title":"Design patterns: elements of reusable object-oriented software","venue":null,"work_id":"3623b815-7db1-4b5b-9308-d11a32a5f350","year":1995},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.343181Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:898d79217a81ecf258efcb032c41f98a784233bd3bae0cea2bcfe0dd09158384","observation_id":"39ff7740-1c31-4c81-b74c-d801aef2a14b","resolution":{"observed_at":"2026-08-07T05:10:28.716040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.692892Z","title":null,"venue":null,"work_id":"bffdc08f-fcc7-48bb-900d-6e4bfde20450","year":1976},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.348117Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:b85980ed32d4704de73753a42defa3b0a634d1e7b1dc1606b3dd2cbc82801d9b","observation_id":"56a36fa5-b670-4dee-8dda-61e1c9cd156b","resolution":{"observed_at":"2026-08-07T05:10:28.698280Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.675607Z","title":"Schoenholz, Patrick F","venue":null,"work_id":"917d8010-95fb-49c6-a3af-2e8cb292821b","year":2017},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.353634Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:30b4bf33fbc41f76fc5ebe2c527303edf9bbbe48f50a26d4708da1cb17c1f67b","observation_id":"7db2c429-4a61-4d43-8da1-5713d68c20f5","resolution":{"observed_at":"2026-08-07T05:10:28.680389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.659680Z","title":"On embeddings for numerical features in tabular deep learning","venue":null,"work_id":"cfc71275-4cc8-4995-abca-7d1d2011d9f5","year":2022},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.359192Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:12380694be18f8e19bd41f728ac39d585f868c4c4f25149cccf7165aa1b26121","observation_id":"3098b7ee-e452-46a6-acba-c9d0baec2b05","resolution":{"observed_at":"2026-08-07T05:10:28.664813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00170-004-2296-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:03:45.533247Z","title":"Gupta and A","venue":"The International Journal of Advanced Manufacturing Technology","work_id":"1ff8f9c5-fffb-4299-b54c-8b806f56349f","year":2006},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.364598Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ea35d690ee8114ef831cd609ea19a7a393d424710f48e452c72d8fdc910b6bee","observation_id":"90bbd704-a66a-4864-8c08-bec54f3a2743","resolution":{"observed_at":"2026-08-07T05:10:26.896545Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.369944Z","title":"Harris, K","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.369944Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:5fbb29fc05012af67649b178986ea905f377c16f6efca32d6f5280d9c62a50f5","observation_id":"2e14f91b-b8aa-4f26-a90d-0ada4c1f035f","resolution":{"observed_at":"2026-08-07T05:10:26.369944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.632267Z","title":"A survey of priority rule-based scheduling","venue":null,"work_id":"9a37255a-15a4-464d-b2f4-82a4dccb21f1","year":1989},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.374691Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:459bacbb037ac4494fc00c135bb4bedd66ce2d0c17600865e403bc381c22e36d","observation_id":"9d8d1faf-aef5-4007-87b1-1a477017a3cd","resolution":{"observed_at":"2026-08-07T05:10:28.637612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.379796Z","title":"Deep Residual Learning for Image Recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.379796Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:e679afc16949e15f7ec5b41156a310601b6530573c5228d44c06b0021f80f557","observation_id":"639ebf42-9077-4e65-a577-780350dda31b","resolution":{"observed_at":"2026-08-07T05:10:26.379796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.614415Z","title":"Residual scheduling: A new reinforcement learning approach to solving job shop scheduling problem, 2023","venue":null,"work_id":"efda0c08-5688-4f6f-ba0c-3d1a82045fa0","year":2023},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.384562Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:2541225024029fd222775740d877b2e25f3f8f04a46163f8c0a0d3b3ae70ba86","observation_id":"f367c40d-ac4d-4b3b-9098-a4b641b21500","resolution":{"observed_at":"2026-08-07T05:10:28.620491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0925-5273(96)00068-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Efficient dispatching rules for scheduling in a job shop","venue":"International Journal of Production Economics","work_id":"2b7ea1b1-dd68-4797-86c1-d9da12df8dcb","year":1997},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.389585Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:673bf94669e1ddcdbef95277319605e4d14a9cd9cec5d5145ed4319d2089e7dd","observation_id":"db4c887d-2a3d-4d70-83a0-219e8f7938f9","resolution":{"observed_at":"2026-08-07T05:10:26.875242Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.598027Z","title":"Stinchcombe, and Halbert L","venue":null,"work_id":"a3a942f4-de36-4b02-aa43-86523ac1b516","year":1989},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.394700Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:afbb318c11f41fd516da6675c13cee8e88ca3e8c1d86a772589ea8687a7fb5b1","observation_id":"e7469b61-639c-4f45-94b9-1137776c132c","resolution":{"observed_at":"2026-08-07T05:10:28.603098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.399480Z","title":"Imitation learning: a survey of learning methods","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.399480Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:5735ed651024226fdfac9ac27abb0e9f12cca8866786c31b3191b64815508d34","observation_id":"cc21696d-1156-43e6-995e-ca7b3fc3aaee","resolution":{"observed_at":"2026-08-07T05:10:26.399480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.579045Z","title":"Learning to solve job shop scheduling under uncertainty","venue":null,"work_id":"05266894-8e87-494a-8d3f-e4114b6f3aaa","year":2024},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.404997Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:b296db60582ab315f58450726c9c9f978e834b81a81cd4fce5b9a22243c4f044","observation_id":"607ec31a-8c0c-4287-97f6-be396abcd7ad","resolution":{"observed_at":"2026-08-07T05:10:28.585847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.410441Z","title":null,"venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.410441Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:cb41e6f4f3e9e173d526394dfaf4af9ded8ed7c5accaadb6d18dabd0b5729a53","observation_id":"3d1f4f2a-4223-47ad-aef5-19fe3e8171c5","resolution":{"observed_at":"2026-08-07T05:10:26.410441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1108/01443579310025286","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"International Journal of Operations & Production Management","work_id":"22fa19c8-7672-4a18-bc1b-d003ce22585d","year":1993},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.415767Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:5ecee9ab1bd1f46d4f69a8d224fcf7f3cfe7152f41321a1467900caea662a719","observation_id":"bc858869-ed70-492f-b137-dcae21677d8d","resolution":{"observed_at":"2026-08-07T05:10:26.835438Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.560454Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"b762ac9b-ba55-4732-b096-437ac76bf735","year":2015},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.420656Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:1ea525e41bf3472f4e66e162773a4acc6fc70f977b1185026971a6b9988696ca","observation_id":"72468374-9877-4213-9c3a-ddc9c1110b52","resolution":{"observed_at":"2026-08-07T05:10:28.565820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.542636Z","title":"Kipf and Max Welling","venue":null,"work_id":"e32d88d2-d6b5-442a-b299-81908faa4319","year":2017},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.426001Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:92849f9e3698e450d89a1bff70717722769fc7a1d433b686c83c8dc4d4c61049","observation_id":"9cdb8ed6-c465-434c-a1f1-4e090081f36e","resolution":{"observed_at":"2026-08-07T05:10:28.547860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.524139Z","title":"Korte and J","venue":null,"work_id":"45c01cee-9cd3-4cf4-a0eb-1d5a77085437","year":2012},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.432065Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ce00d8b433ac4ee70f6fdd2af313665b632ff0769e876e0e0c505a00fc4a1f28","observation_id":"c460ce53-c238-4db6-87f5-e2380a61ec06","resolution":{"observed_at":"2026-08-07T05:10:28.530840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.507573Z","title":"Cp-sat primer - under the hood, 2024","venue":null,"work_id":"951f2393-73b7-4c98-a78c-8d42e5fe4149","year":2024},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.436719Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:020fd101417040bf97b37cc27f6b65de767ed693f26d88da667bb3588652bab7","observation_id":"f04e3dd8-789d-40e7-b70f-e9e697d15a8f","resolution":{"observed_at":"2026-08-07T05:10:28.512728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.491838Z","title":"Lawrence","venue":null,"work_id":"3c548dbd-2184-4a5c-9b0c-4811c0b674d0","year":1984},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.441625Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:e9b980662973814b17ce0a7500a3a7dc1ed002797d04174840062bd7ed86c59f","observation_id":"424b28a8-2384-4c27-a4fd-38cfa6d5e747","resolution":{"observed_at":"2026-08-07T05:10:28.496710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.446537Z","title":"Deep learning","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.446537Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:e2da27cea05629c941f4fa1995cd485eea89c8ec00ddb256f665a77e8ad24cea","observation_id":"00089a39-09a9-48f0-ac1b-eb54d071dea9","resolution":{"observed_at":"2026-08-07T05:10:26.446537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.451312Z","title":"Imitation learning for real-time job shop scheduling using graph-based representation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.451312Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:c6c285bb6a64690809393df889d761d8a05f5aa59221f89816f90216c21f168e","observation_id":"d07585c9-ce6f-4105-bb57-c12c28cc61e6","resolution":{"observed_at":"2026-08-07T05:10:26.451312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.456067Z","title":"Graph-based imitation learning for real-time job shop dispatcher","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.456067Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:1869591ad60dd62ae9d706dd091c83e67b86a8bd8c88325bd8a09612adbe314d","observation_id":"462fbacb-c588-42ed-9e8f-440e9a91dc97","resolution":{"observed_at":"2026-08-07T05:10:26.456067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.460848Z","title":"Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.460848Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:2e8f233010858baf18b8bd4b5c722d4d6bd9501522fe95ac61dd9ebc489b0ae5","observation_id":"4ba9eada-af42-425c-937c-5a41dad0b95c","resolution":{"observed_at":"2026-08-07T05:10:26.460848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.463059Z","title":"Pep 585 -- type hinting generics in standard collections","venue":null,"work_id":"f0631c22-4a7a-4d08-adbd-8fee644d0964","year":2020},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.465863Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:afcc2d488e8dbf25cc3204b8951690a01fc3200da6d8561dfd3f5cd485ebfccc","observation_id":"448f9f67-c05e-416f-95ca-de2675a92f94","resolution":{"observed_at":"2026-08-07T05:10:28.469168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.2507/ijsimm18(1)co5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Liao and C","venue":"International Journal of Simulation Modelling","work_id":"07fde5cc-8765-4b5d-b117-923844f04ca0","year":2019},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.471886Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:e6be62030dc377582382d2f5c209f1ab73c726a6867f6250e3558db74e41aa73","observation_id":"9bb25d7d-66af-4438-bcfa-5e8f5a44c3ae","resolution":{"observed_at":"2026-08-07T05:10:26.819487Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.445101Z","title":null,"venue":null,"work_id":"a2de31a1-2c5d-48a6-9f42-b5991ff5a27b","year":2008},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.477082Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:3b80656539b68194f59bf3dccbd7a636d28f9b0c04523e19719ad12ab5c55b1a","observation_id":"81c97975-da3e-4ad5-ad3a-18efc7df0bca","resolution":{"observed_at":"2026-08-07T05:10:28.450600Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"1602.01783","last_updated":"2016-06-16T16:38:45Z","snapshot_observed_at":"2026-08-14T22:11:38.852257Z","submitted_at":"2016-02-04T18:38:41Z","title":"Asynchronous Methods for Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.01783","snapshot_observed_at":"2026-08-07T05:10:26.481993Z","title":"Asynchronous methods for deep reinforcement learning","venue":null,"work_id":null,"year":1928},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.481993Z"},"links":{"cited_paper":"/paper/1602.01783","citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:81ba9b567145c8ff08a57b5e5089419e36dfd57fc26652090b1c1e9b2b5a7c63","observation_id":"27a06128-7d5a-4324-83f7-147c16b553a6","resolution":{"observed_at":"2026-08-07T05:10:26.481993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.427824Z","title":"Muth and G.L","venue":null,"work_id":"65edcb49-8dd4-4938-9817-6bf786558f07","year":1963},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.488664Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:b1341c73910b22a141fab5dfb6c2f51635ff04b4420196e8d3ba18daef22a77c","observation_id":"4d8321c3-4287-47de-b23d-db26f70bc84e","resolution":{"observed_at":"2026-08-07T05:10:28.432794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.411357Z","title":null,"venue":null,"work_id":"1dc3f225-4932-49eb-8022-f02d3fbf6b5e","year":2010},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.493608Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:71c7499f7a63a1bf699b97be26b3030b15500f3f336a022eadfc52c37a832638","observation_id":"dd2cd4ae-abd2-4b91-a55d-bae8ed037a95","resolution":{"observed_at":"2026-08-07T05:10:28.416616Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.394034Z","title":"Ng, Daishi Harada, and Stuart J","venue":null,"work_id":"4bc14e2e-2412-437a-8cb1-3c07d1428403","year":1999},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.498792Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:2f09176ad43b8a5d526eae31f9d77529cbffb1771005fde9df168954374b1108","observation_id":"4b67c831-4723-471d-96b6-69cb702fc5e2","resolution":{"observed_at":"2026-08-07T05:10:28.399948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2106.03051","last_updated":"2021-06-06T07:08:58Z","snapshot_observed_at":"2026-08-13T06:52:14.952514Z","submitted_at":"2021-06-06T07:08:58Z","title":"ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.03051","snapshot_observed_at":"2026-08-07T05:10:26.503753Z","title":"Schedulenet: Learn to solve multi-agent scheduling problems with reinforcement learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.503753Z"},"links":{"cited_paper":"/paper/2106.03051","citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:a2c38586e9b424165b1e17452707829e1f5f7efd07b6d7d4d40e3190e9a58d87","observation_id":"cc09f084-dd2d-4bc1-a119-1ad98b7fa693","resolution":{"observed_at":"2026-08-07T05:10:26.503753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.509447Z","title":"Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.509447Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:0118e1571a1ba6c3e4bd0ece9507d3b3c3e38b6777fcef77d1db6cb6d8a48462","observation_id":"a3957e29-a9f8-4bff-854c-e630a9fa7cb2","resolution":{"observed_at":"2026-08-07T05:10:26.509447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.377280Z","title":"Cp-sat, 2024","venue":null,"work_id":"9fd0dde5-9c8a-4fd8-a405-2e42660e9e55","year":2024},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.514728Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:de5f27bc0b3de82c9151346b632a697419e0c55a0aa2578d7e7bb7ff93a852ef","observation_id":"c16f95b4-0a55-4d7a-8878-4b67f8b3463c","resolution":{"observed_at":"2026-08-07T05:10:28.382933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.ejor.2006.03.059","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Surgical case scheduling as a generalized job shop scheduling problem","venue":"European Journal of Operational Research","work_id":"d3cb467a-a776-457c-a049-10d73ca0cc83","year":2008},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.520155Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ca2edf698c63bcedc2cfc22c6c0dfde28feea78f139351b4f5c33d08be22c20c","observation_id":"670cf108-5649-4bbb-a0ef-3c3a16a3d276","resolution":{"observed_at":"2026-08-07T05:10:26.803134Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.359171Z","title":"Pomerleau","venue":null,"work_id":"be80c4f8-5b01-4497-a4b5-9b2733dbccab","year":1988},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.525982Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:6e22d2cf94398c6c4747e71c839901e68ae81a6eefea82d44dc91288dc4fa9ee","observation_id":"27034614-472c-477f-98d9-d54403cbe3f9","resolution":{"observed_at":"2026-08-07T05:10:28.365239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.531644Z","title":"Stable-baselines3: Reliable reinforcement learning implementations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.531644Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:e86ff3605fd23d416ebbf3e62a7bd82f8d1fefcdc7a597cc81539f87343d8254","observation_id":"09394df5-6260-4c60-b077-0040ed2c1fab","resolution":{"observed_at":"2026-08-07T05:10:26.531644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.333385Z","title":null,"venue":null,"work_id":"4d28465d-62f8-4339-b691-f67973d9d573","year":1992},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.537240Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:230c70b266923f5c817606caded2a2c5c0ebbac62c9e6a16494e2b32c5520e82","observation_id":"981a98ad-1c2a-4d33-8e2e-94b54c10a41f","resolution":{"observed_at":"2026-08-07T05:10:28.338164Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s1574-6526(06)80005-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Chapter 1 - introduction","venue":"Foundations of artificial intelligence","work_id":"f942ad52-7af7-45b5-88c6-2ec2f7cbb2b8","year":2006},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.542569Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:2fcef2cd2b77d06491d4dae1808c27852c67b6b687c56892db971c2ecf8a6572","observation_id":"4ef94078-c302-46fe-ac16-fc246e972e6e","resolution":{"observed_at":"2026-08-07T05:10:26.785332Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.547746Z","title":"Rumelhart, G.E","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.547746Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ec1907ad209affc9377924c84b3161091f96d13e495fc1ea079c42d994cc162b","observation_id":"cac42e2a-dd95-484a-b005-c3f4e6e9307b","resolution":{"observed_at":"2026-08-07T05:10:26.547746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10993","last_updated":"2023-03-20T10:21:29Z","snapshot_observed_at":"2026-08-13T12:20:52.753435Z","submitted_at":"2023-03-20T10:21:29Z","title":"A Survey on Oversmoothing in Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10993","snapshot_observed_at":"2026-08-07T05:10:26.553255Z","title":"Konstantin Rusch, Michael M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.553255Z"},"links":{"cited_paper":"/paper/2303.10993","citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:5a9f58522a5ed9a99b044f7e9192a9ddb98bb752da7afd2576f8cac4ea0b72bb","observation_id":"01ac62a4-a043-4a0a-9f6f-fee6c5469b61","resolution":{"observed_at":"2026-08-07T05:10:26.553255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.26014","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:27.482164Z","title":"Sarfaraj, Md","venue":null,"work_id":"a3c09a09-2203-4a95-9bdc-ee41dcdf932d","year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.558407Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:80969f329718b84d3f6edd35fe522a479cfc8d35d98f0d9bd5a7ee8bae945504","observation_id":"e5d676f3-0265-4a91-8329-f1e71e26af55","resolution":{"observed_at":"2026-08-07T05:10:27.497476Z","resolver_source":"raw_fallback","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.563170Z","title":"The graph neural network model","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.563170Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:c37ed732daef44c19fb7175e8f2fb005c5077fd3548d9716188105ec5e02f618","observation_id":"bc6e7fb8-9050-4dd6-a9bf-088029eb07d1","resolution":{"observed_at":"2026-08-07T05:10:26.563170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.317082Z","title":"Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling","venue":null,"work_id":"8567aa3f-f985-45a9-ae90-41fad1a678cf","year":2018},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.567888Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:e85f2a14d648d74a2a7049f1aa36e0af4884de470942497b7a9d96139f67be5c","observation_id":"ed756f9c-eb2d-426d-a551-7992b438cb5a","resolution":{"observed_at":"2026-08-07T05:10:28.322550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1506.02438","last_updated":"2018-10-20T18:55:07Z","snapshot_observed_at":"2026-08-15T05:06:05.489107Z","submitted_at":"2015-06-08T11:12:48Z","title":"High-Dimensional Continuous Control Using Generalized Advantage Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02438","snapshot_observed_at":"2026-08-07T05:10:26.573089Z","title":"Jordan, and P","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.573089Z"},"links":{"cited_paper":"/paper/1506.02438","citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:f2dd241482368afc9bd0b4f7afe29f673e0bd234fbf96cf4721ef5c597b7b8fd","observation_id":"ac554b0d-c1eb-4b11-8b2b-8136898a2ae7","resolution":{"observed_at":"2026-08-07T05:10:26.573089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-07T05:10:26.578398Z","title":"Proximal policy optimization algorithms","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.578398Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ad42f8597e9fb070101ec8a1c55e8f8e7a7604c18e9091168167bc9b836adf35","observation_id":"903ad145-8f92-44c5-83e0-7eb910251ebc","resolution":{"observed_at":"2026-08-07T05:10:26.578398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.10691","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:27.283506Z","title":"Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, and Wim Nuijten","venue":null,"work_id":"e7e04688-f079-45f7-b2f4-8d57d95c2c04","year":2025},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.584146Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:024923c0b7ef81bfc804c367b40bffb4e92ba3b9c7f3609ae44c585075d25f80","observation_id":"803c3f0a-3dde-472c-93ee-81069f358b96","resolution":{"observed_at":"2026-08-07T05:10:27.291847Z","resolver_source":"raw_fallback","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.31897","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:27.198543Z","title":"Flexible job shop scheduling via graph neural network and deep reinforcement learning","venue":null,"work_id":"b8104a7a-0d79-421f-98d7-fd0bc506277d","year":2023},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.589448Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:306e9a49943a1e954c3700f8ed0c4fd620e4705ee8bc34a55ad3a7eb6f34489f","observation_id":"9acc56e6-fb90-4769-aae4-9ed858360de9","resolution":{"observed_at":"2026-08-07T05:10:27.207049Z","resolver_source":"raw_fallback","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.300720Z","title":"Storer, S.D","venue":null,"work_id":"c6189e57-7b7d-4f65-bfcb-1e85d087f965","year":1992},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.594697Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:f35400e33ac5dbb20c9587569b1a196b883f792952539c78d6c3c36cd3fae1aa","observation_id":"32f56829-58dd-4863-b25f-2878e59d062b","resolution":{"observed_at":"2026-08-07T05:10:28.305861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.599890Z","title":"Sutton and Andrew G","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.599890Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:94717f8263a704bc918632710c8afb9d5aceb5ee894a8ff79e8d75dbd5c04cb0","observation_id":"2e52e8d6-da12-4b63-b295-54583c7ad0dd","resolution":{"observed_at":"2026-08-07T05:10:26.599890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.272340Z","title":"Policy gradient methods for reinforcement learning with function approximation","venue":null,"work_id":"347ee92f-7cad-4544-9187-fcad4b924f4f","year":1999},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.605397Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:29d97d7f83b366bed9f714c802cf50bc67326d962bc0f24dba23d9eea929ea41","observation_id":"baaf86b7-b7ae-4deb-a1ee-caff92f49887","resolution":{"observed_at":"2026-08-07T05:10:28.278512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.254451Z","title":"Taillard","venue":null,"work_id":"c08b1327-4b76-49e3-af77-4838e5db7695","year":1993},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.611323Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:e77bb9fe3203d371e6c6468b8f5af5953f226986552b34cb9891f291fa40b553","observation_id":"6c940ffb-38a7-4e2b-99f6-af2bb11ddcb7","resolution":{"observed_at":"2026-08-07T05:10:28.260567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.236042Z","title":"A reinforcement learning environment for job-shop scheduling, 2021","venue":null,"work_id":"74b9cda5-1eaa-497e-aa5a-4434bc987410","year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.617111Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:b4c4b857321afa7229574642b1a805019434ad804f02666ccc17b0e20254787d","observation_id":"00443908-4720-416f-a685-60aaa7dd0211","resolution":{"observed_at":"2026-08-07T05:10:28.241958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2407.17032","last_updated":"2025-11-02T13:42:19Z","snapshot_observed_at":"2026-08-13T22:24:37.672685Z","submitted_at":"2024-07-24T06:35:05Z","title":"Gymnasium: A Standard Interface for Reinforcement Learning Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17032","snapshot_observed_at":"2026-08-07T05:10:26.621783Z","title":"Gymnasium: A standard interface for reinforcement learning environments","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.621783Z"},"links":{"cited_paper":"/paper/2407.17032","citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:8260e3edabf13546b266f52905b62f91e11991f592ce0bbb62e3a2517cdccabe","observation_id":"7836eb60-5a66-429a-a73f-bce110bf4c91","resolution":{"observed_at":"2026-08-07T05:10:26.621783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.626763Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.626763Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:1af3b3c960f0ffc1ac819a15e2f31ccd3ab37bbc60f13d69f41d36a579cfcb28","observation_id":"0db81fcf-d0a8-4494-b22c-e9290ed6993b","resolution":{"observed_at":"2026-08-07T05:10:26.626763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.206715Z","title":null,"venue":null,"work_id":"e3e44ba6-70cc-42e1-a145-20782e07c9e4","year":2010},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.631647Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:baacd3193d3adeda2c0297de00cd353572402d4a3c62b239ffb040268369f50f","observation_id":"5fd72005-ffb8-424d-acef-aa3548a6906e","resolution":{"observed_at":"2026-08-07T05:10:28.212559Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.636546Z","title":"Graph attention networks, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.636546Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:305f2b7f66bb32d312014bc1ec91514e89e046516d490e9fed4458de240c7f20","observation_id":"f66cd75a-43e4-49f0-ad8e-c8fb3e5eaef3","resolution":{"observed_at":"2026-08-07T05:10:26.636546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.641387Z","title":"Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.641387Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:ebb415455c87881105594bdfbcbceef87a586c61050d58ecdb60ed90ab2fb5d6","observation_id":"afc5b467-773a-4967-887b-8d5502c17b27","resolution":{"observed_at":"2026-08-07T05:10:26.641387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.175807Z","title":"JSSP instances and results","venue":null,"work_id":"beaa6062-ed1e-4816-ad46-0d706bcdf3af","year":2025},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.646312Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:f26cb6c14f29f173f241a20d19d62f797347dfeaa94b1f751d94de1d05563262","observation_id":"875cbe08-3db5-4c7a-8d2d-215f6e11be7f","resolution":{"observed_at":"2026-08-07T05:10:28.181926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.153815Z","title":null,"venue":null,"work_id":"68b6ef4a-216a-4caa-81b7-8c265eb13ee5","year":1992},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.650917Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:7fbdcd1da4f99002b266bd72cf45ae6f451ddec41aae2e0d0bfc3d6830481c6d","observation_id":"18c19f49-8837-4d65-9b57-9180ae9364e2","resolution":{"observed_at":"2026-08-07T05:10:28.160323Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.136008Z","title":"The future of jobs report 2023","venue":null,"work_id":"2c26d3d3-d825-4c3c-bf67-6a800104e34b","year":2023},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.656654Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:51779f1542b05a9d29a10b373cbb4e2c6c46fd0adc8d660d400c28dd1409bdd5","observation_id":"e4f7d868-f47d-4023-b55f-0ddc3abf256e","resolution":{"observed_at":"2026-08-07T05:10:28.141473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.118900Z","title":"A survey of job shop scheduling problem: The types and models","venue":null,"work_id":"cc47cf4d-ed66-4c17-a785-80c7c7d5d851","year":2022},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.662120Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:87127dc2f5528da553085f9151e505175287b59a9cdb30584b82ae771b0c8e79","observation_id":"7f78654c-03ef-45a3-b112-79e30aa2008b","resolution":{"observed_at":"2026-08-07T05:10:28.124107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.667996Z","title":"How powerful are graph neural networks? In International Conference on Learning Representations, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.667996Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:9404e10df8ba2739672a305247c657a01c889e49f8b784affd363e83e799d52c","observation_id":"1b52a4e6-b2e1-495b-ae0f-44780fb2cccb","resolution":{"observed_at":"2026-08-07T05:10:26.667996Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.091149Z","title":"Yamada and R","venue":null,"work_id":"efebaa79-dfa6-4545-909e-977a1a3a1645","year":1992},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.673612Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:87189487e7acf297d8cdd8c2bd4e727e522e787c63b2eb3f01dae48e9a6b1beb","observation_id":"1a34a6b5-b874-44fc-805d-0300e5763517","resolution":{"observed_at":"2026-08-07T05:10:28.096386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.680130Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.680130Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:1500d146c5e954c5aac2906c7305cc1a6b076e51fcfe489ee45db83e9d04c3f5","observation_id":"6c1031d8-12ac-4b2e-b215-daf75bdcde53","resolution":{"observed_at":"2026-08-07T05:10:26.680130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:26.684897Z","title":"Solving job shop scheduling problems via deep reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.684897Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:fe0ae60b1d719509dcdb77a16a135adc79305bc435e565a44fff5ab50fc53bd4","observation_id":"aa7f8cde-b8ff-4b25-8d55-f6fb18eaf352","resolution":{"observed_at":"2026-08-07T05:10:26.684897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.073564Z","title":"Learning to dispatch for job shop scheduling via deep reinforcement learning","venue":null,"work_id":"fad1c827-d3ba-4c92-af31-f316246d0c3e","year":2020},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.689704Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:f24b652f2f1ff32f61e99c5383e724e4f49491fa4e4eeacee4a9ce4a687eedf5","observation_id":"cf6e44aa-445c-44e7-b45c-664f7706063a","resolution":{"observed_at":"2026-08-07T05:10:28.079066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1049/cim2.12072","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A review on learning to solve combinatorial optimisation problems in manufacturing","venue":"IET Collaborative Intelligent Manufacturing","work_id":"5b06555e-a8ec-4efb-a0e8-6f203cf9d122","year":2023},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.694800Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:a9b93c24ddac91bf73017f1ee14c971f09832019992314aca0856d4f49b9593b","observation_id":"f6373cc0-04a0-4621-a17e-f809dab8bcf0","resolution":{"observed_at":"2026-08-07T05:10:26.746702Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.053202Z","title":"A constraint program for solving the job-shop problem","venue":null,"work_id":"9c8f138d-845a-40f2-8ad9-f77aaa90bf85","year":1996},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.699721Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:1b33b39cb5e1de85bcc7bd44345b958ae1026e7f1abce6424d8f20e2ea0e6ddd","observation_id":"2a34fea8-b9e1-48a5-a854-fdacd5af0e67","resolution":{"observed_at":"2026-08-07T05:10:28.060697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:10:28.032920Z","title":"Pep 604 -- allow writing union types as x | y","venue":null,"work_id":"60ee6994-938e-4a48-98c4-53a3702a2572","year":2020},"citing_paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:26.704584Z"},"links":{"citing_paper":"/paper/2506.13781"},"observation_digest":"sha256:397c063bf605265066b7e1d74f9f1a3e54b566d34b6800afafa1da396a32579e","observation_id":"d3a4c2c0-9526-4cb2-af80-b61f4dda6238","resolution":{"observed_at":"2026-08-07T05:10:28.038698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2506.13781","last_updated":"2025-06-10T08:09:30Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T08:49:44.428113Z","submitted_at":"2025-06-10T08:09:30Z","title":"Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment"},"reference_resolution":{"displayed":83,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":39,"verified_exact":7,"verified_fuzzy":34},"total_outbound_references":83},"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 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2506.13781."}