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Paper Citation Record · LEDGER

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment

As of 19 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2506.13781.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.13781 v1

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:26.704584Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

83 of 83 outbound references displayed

  • verified exact7
  • verified fuzzy34
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26d48d6a-8abc-4e2b-8abe-94320ee76a11 · outbound

This paper cites Adams, E.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Adams, E

Reference 1

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source=arxiv_source observed=2026-08-07T05:10:26.273581Z digest=sha256:7686f357b0a2fb898b9b62365ad3060329fe05766b0dcc11b0ebe4560af67c96

Observation dde8b095-ffec-4c37-8625-be142447ebd3 · outbound

This paper cites On the bottleneck of graph neural networks and its practical implications.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment On the bottleneck of graph neural networks and its practical implications

Reference 2

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source=arxiv_source observed=2026-08-07T05:10:26.279998Z digest=sha256:795d6b373e7a017116748cbb76ec142052c09d1f799a73b9f16ed2e3e0b020cd

Observation 63949d5b-b9ec-4d9f-84c5-556c83afeddd · outbound

This paper cites Applegate and W.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Applegate and W

Reference 3

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source=arxiv_source observed=2026-08-07T05:10:26.285553Z digest=sha256:59be8f7a16e2a3eb7d9591e0c9e2c4bceb332a2859126ef7f44f621244f62ff0

Observation e17e14a8-61f2-4c87-b928-6d6a809b081a · outbound

This paper cites A markovian decision process.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A markovian decision process

Reference 4

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source=arxiv_source observed=2026-08-07T05:10:26.290512Z digest=sha256:88ea4c53f9bc19db0d9631997484a2f39bdb0edbddc6b82351b96f4d12c8c030

Observation 495159b4-07ce-4000-aebd-e0f8b1717246 · outbound

This paper cites Machine learning for combinatorial optimization: A methodological tour d’horizon.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Machine learning for combinatorial optimization: A methodological tour d’horizon

Reference 5

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source=arxiv_source observed=2026-08-07T05:10:26.295952Z digest=sha256:b6dbbb89dc46f4e41957123d72ae39604d45b62b85f1a712d1b20d41804b0cd3

Observation d95986c5-5c21-47b8-b883-559537c42756 · outbound

This paper cites The disjunctive graph machine representation of the job shop scheduling problem.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The disjunctive graph machine representation of the job shop scheduling problem

Reference 6

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raw_fallback, observed 2026-08-07T05:10:28.822190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.301244Z digest=sha256:57cd00e23b15e0829335a628e9e6e7b62084c701323716ddd9431a381a79a47c

Observation 38b1564c-1e20-41d3-86ad-e5e02114efe6 · outbound

This paper cites Boussa\" i d, J.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Boussa\" i d, J

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.307466Z digest=sha256:98e03269ef3d0f967f0c2a163319481229dbc0720a9faf4ca513996bfbcb7fab

Observation c6a9f828-412a-4c9d-866c-12a084f4e01f · outbound

This paper cites How attentive are graph attention networks? In International Conference on Learning Representations, 2022.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment How attentive are graph attention networks? In International Conference on Learning Representations, 2022

Reference 8

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source=arxiv_source observed=2026-08-07T05:10:26.312801Z digest=sha256:9f306ac766c379166a850311c7f68293c882a914928c4d973c2ece093f7015df

Observation d01a0e02-2690-42fe-9bc1-4ccfcc39abec · outbound

This paper cites Khalil, Andrea Lodi, Christopher Morris, and Petar Veličković.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Khalil, Andrea Lodi, Christopher Morris, and Petar Veličković

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.317801Z digest=sha256:7e97d862fc150971d4d436712bf40571da305f16d8953e670e5086a8df158e3a

Observation 1d7ba37d-276c-4a68-ac40-1c5547d9f0f1 · outbound

This paper cites The application/json Media Type for JavaScript Object Notation (JSON).

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The application/json Media Type for JavaScript Object Notation (JSON)

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.323161Z digest=sha256:a58de6470e8dfa2728b6450a92a61ffa707c1f5d390d76505aa91709fb23276a

Observation 67aba178-82b2-47c7-bdd2-8c34cdeb5837 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.328232Z digest=sha256:ffae93b6163ae58ea1d4cb2fa0396d66b7c2d2a50a9ed10645309f9cb87a37b4

Observation 4aea528c-88ca-4707-837e-e7c1a5a22c8d · outbound

This paper cites Graph neural networks are dynamic programmers.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Graph neural networks are dynamic programmers

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.333164Z digest=sha256:3a068eee5265336f56fe4eefd9084b89e01cdabf6dc7fec5fdbbc1f6a7a94339

Observation f30c5d7b-652b-49d6-a60c-a611214fd993 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-07T05:10:26.338521Z digest=sha256:62494a414c2005e2205b8ca0966072f0ea00be41c6dbd7bb1a3370544ae8f3ca

Observation 39ff7740-1c31-4c81-b74c-d801aef2a14b · outbound

This paper cites Design patterns: elements of reusable object-oriented software.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Design patterns: elements of reusable object-oriented software

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.343181Z digest=sha256:9249e45bc4a9521c9f3c8aacc7650597662d611560566ee3abffcb25c5e9d6c7

Observation 56a36fa5-b670-4dee-8dda-61e1c9cd156b · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.348117Z digest=sha256:30334c98bb057886e16e4f4d0b1a679509f18c970843a69812138bf44f8fec09

Observation 7db2c429-4a61-4d43-8da1-5713d68c20f5 · outbound

This paper cites Schoenholz, Patrick F.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Schoenholz, Patrick F

Reference 16

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raw_fallback, observed 2026-08-07T05:10:28.680389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.353634Z digest=sha256:c1b791c3cd87277314aa092a0b1bff618220a2bd5ea16ccfb634eeb8d9d8b921

Observation 3098b7ee-e452-46a6-acba-c9d0baec2b05 · outbound

This paper cites On embeddings for numerical features in tabular deep learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment On embeddings for numerical features in tabular deep learning

Reference 17

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raw_fallback, observed 2026-08-07T05:10:28.664813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.359192Z digest=sha256:419898b78e714f63075a1d3ac5be93a5416ca48fc6ca3dcec584c6ba2965d3cd

Observation 90bbd704-a66a-4864-8c08-bec54f3a2743 · outbound

This paper cites Gupta and A.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Gupta and A

Reference 18

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verified exact
doi, observed 2026-08-07T05:10:26.896545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.364598Z digest=sha256:17868d7a2ae04201c4f866e01eed236edc1a8094e22125650a687698e718ceff

Observation 2e14f91b-b8aa-4f26-a90d-0ada4c1f035f · outbound

This paper cites Harris, K.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Harris, K

Reference 19

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source=arxiv_source observed=2026-08-07T05:10:26.369944Z digest=sha256:31d6e996b27b15000018c7a028fd35e5c3fb02cb59f6ff28638eee8b3f9689d4

Observation 9d8d1faf-aef5-4007-87b1-1a477017a3cd · outbound

This paper cites A survey of priority rule-based scheduling.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A survey of priority rule-based scheduling

Reference 20

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raw_fallback, observed 2026-08-07T05:10:28.637612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.374691Z digest=sha256:af40c4620b019659b5ee80b8bffa1371e391d139bba268775384426f5408f1e3

Observation 639ebf42-9077-4e65-a577-780350dda31b · outbound

This paper cites Deep Residual Learning for Image Recognition.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Deep Residual Learning for Image Recognition

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.379796Z digest=sha256:f66f6bc5c333923a4b5ef180803c5843efa1e5eeea3a452713174579510f2595

Observation f367c40d-ac4d-4b3b-9098-a4b641b21500 · outbound

This paper cites Residual scheduling: A new reinforcement learning approach to solving job shop scheduling problem, 2023.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Residual scheduling: A new reinforcement learning approach to solving job shop scheduling problem, 2023

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.384562Z digest=sha256:1b77d2bbe2b39ac0a5ba39b281928fb91d1bafc8595b29380c78624b8a8a1e69

Observation db4c887d-2a3d-4d70-83a0-219e8f7938f9 · outbound

This paper cites Efficient dispatching rules for scheduling in a job shop.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Efficient dispatching rules for scheduling in a job shop

Reference 23

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doi, observed 2026-08-07T05:10:26.875242Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.389585Z digest=sha256:ce43edd768499d824c239345db657b83af05a1075c8ee8eb57b62a1e236697d0

Observation e7469b61-639c-4f45-94b9-1137776c132c · outbound

This paper cites Stinchcombe, and Halbert L.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Stinchcombe, and Halbert L

Reference 24

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raw_fallback, observed 2026-08-07T05:10:28.603098Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.394700Z digest=sha256:4c68c5b73e8d0631271d75f34ab61e3212846ccba99524daa1dd9ad85d62001c

Observation cc21696d-1156-43e6-995e-ca7b3fc3aaee · outbound

This paper cites Imitation learning: a survey of learning methods.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Imitation learning: a survey of learning methods

Reference 25

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source=arxiv_source observed=2026-08-07T05:10:26.399480Z digest=sha256:5a8d4a28b72a22ab075c90b57779ac67b065b78d33c390f5687206e567802899

Observation 607ec31a-8c0c-4287-97f6-be396abcd7ad · outbound

This paper cites Learning to solve job shop scheduling under uncertainty.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Learning to solve job shop scheduling under uncertainty

Reference 26

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raw_fallback, observed 2026-08-07T05:10:28.585847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.404997Z digest=sha256:122b5ced6b087270fc880fd195d5bd42549cd98b811486804a5baa914ad34bb9

Observation 3d1f4f2a-4223-47ad-aef5-19fe3e8171c5 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.410441Z digest=sha256:4c6d1ee6630e364c5503fca891d919cba55206682ae6d5273dd57ceb83bbf358

Observation bc858869-ed70-492f-b137-dcae21677d8d · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 28

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verified exact
doi, observed 2026-08-07T05:10:26.835438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.415767Z digest=sha256:77f40aa02b32fa451a2d97210e73d5ecb695ac26e448a526f018efdbd4996059

Observation 72468374-9877-4213-9c3a-ddc9c1110b52 · outbound

This paper cites Kingma and Jimmy Ba.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Kingma and Jimmy Ba

Reference 29

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raw_fallback, observed 2026-08-07T05:10:28.565820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.420656Z digest=sha256:ed7c9013b1e0a7187a33cca42e2463b254611ce572d65674ce71e09d1bd0595c

Observation 9cdb8ed6-c465-434c-a1f1-4e090081f36e · outbound

This paper cites Kipf and Max Welling.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Kipf and Max Welling

Reference 30

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raw_fallback, observed 2026-08-07T05:10:28.547860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.426001Z digest=sha256:aed04325407e939799e4c7960890c57e4fe99c880d963d6230df757020a16c4b

Observation c460ce53-c238-4db6-87f5-e2380a61ec06 · outbound

This paper cites Korte and J.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Korte and J

Reference 31

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raw_fallback, observed 2026-08-07T05:10:28.530840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.432065Z digest=sha256:de4aff239dd5e5c102259a04441653fbee4480cc58a06f3212e41fab577e22b1

Observation f04e3dd8-789d-40e7-b70f-e9e697d15a8f · outbound

This paper cites Cp-sat primer - under the hood, 2024.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Cp-sat primer - under the hood, 2024

Reference 32

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raw_fallback, observed 2026-08-07T05:10:28.512728Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.436719Z digest=sha256:2e231ff56164115d7f50757b5ef1452c5b330df6c0eda99e908c519af0443658

Observation 424b28a8-2384-4c27-a4fd-38cfa6d5e747 · outbound

This paper cites Lawrence.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Lawrence

Reference 33

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raw_fallback, observed 2026-08-07T05:10:28.496710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.441625Z digest=sha256:981085655f4ae1d07e02d35058f5b6c4869c37d86f687c94cfa9ed50c35ac57c

Observation 00089a39-09a9-48f0-ac1b-eb54d071dea9 · outbound

This paper cites Deep learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Deep learning

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.446537Z digest=sha256:55106bcf6c6c95fac65e09d490d2d225c2a885604ba2d4c4453fa533112ffc62

Observation d07585c9-ce6f-4105-bb57-c12c28cc61e6 · outbound

This paper cites Imitation learning for real-time job shop scheduling using graph-based representation.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Imitation learning for real-time job shop scheduling using graph-based representation

Reference 35

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source=arxiv_source observed=2026-08-07T05:10:26.451312Z digest=sha256:27898eb607c2e5034e94688049c441f2c7a8455d9389b84993e2c3c685b11807

Observation 462fbacb-c588-42ed-9e8f-440e9a91dc97 · outbound

This paper cites Graph-based imitation learning for real-time job shop dispatcher.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Graph-based imitation learning for real-time job shop dispatcher

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.456067Z digest=sha256:b1ec8e3979546912ea3e97c7e51db347f6fcf455dcd0c2946fbac828f9d9457b

Observation 4ba9eada-af42-425c-937c-5a41dad0b95c · outbound

This paper cites Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.460848Z digest=sha256:e863c19a39602bf280506e3ac5fa267941f96d9b7b519d8371989bd7a63cc4c4

Observation 448f9f67-c05e-416f-95ca-de2675a92f94 · outbound

This paper cites Pep 585 -- type hinting generics in standard collections.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Pep 585 -- type hinting generics in standard collections

Reference 38

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raw_fallback, observed 2026-08-07T05:10:28.469168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.465863Z digest=sha256:d2b7f41b7537c29b6098a1fd40009c7e069c780b2dbc79db8ae8e80c9aeeee59

Observation 9bb25d7d-66af-4438-bcfa-5e8f5a44c3ae · outbound

This paper cites Liao and C.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Liao and C

Reference 39

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doi, observed 2026-08-07T05:10:26.819487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.471886Z digest=sha256:62b2ef99353a3dedfaf0f34aa933b2ddab1bea2e493477772536f0bb216871ec

Observation 81c97975-da3e-4ad5-ad3a-18efc7df0bca · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 40

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.477082Z digest=sha256:3f5ac8f0d079e54dac633f11fbd98c13af55e4daa4ae3a34b17e31eade34c7c6

Observation 27a06128-7d5a-4324-83f7-147c16b553a6 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Asynchronous Methods for Deep Reinforcement Learning

Reference 41

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.481993Z digest=sha256:54768c66cdb9a8a99b3dd7118e5eac8e5753e41e34cc42a078f1340784aac294

Observation 4d8321c3-4287-47de-b23d-db26f70bc84e · outbound

This paper cites Muth and G.L.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Muth and G.L

Reference 42

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raw_fallback, observed 2026-08-07T05:10:28.432794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.488664Z digest=sha256:d217c404795acc143577a550609c98958cf422e6676012081b12391ab7d153d2

Observation dd2cd4ae-abd2-4b91-a55d-bae8ed037a95 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 43

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raw_fallback, observed 2026-08-07T05:10:28.416616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.493608Z digest=sha256:8005fd8e085f625813eb59068db234d829342d1492ff8607ca5ee0c0dcc70afb

Observation 4b67c831-4723-471d-96b6-69cb702fc5e2 · outbound

This paper cites Ng, Daishi Harada, and Stuart J.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Ng, Daishi Harada, and Stuart J

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.399948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.498792Z digest=sha256:4b9a9668431258b460c80dd73e9905454d75ae3bdefb9a4d66e0dc7005537ede

Observation cc09f084-dd2d-4bc1-a119-1ad98b7fa693 · outbound

This paper cites ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning

Reference 45

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.503753Z digest=sha256:1436c75a93b92c87229bcdc3b4ad0159bda829626480c3dc4082f2f1f8edf433

Observation a3957e29-a9f8-4bff-854c-e630a9fa7cb2 · outbound

This paper cites Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.509447Z digest=sha256:1d21aa303590649c295fb21fe0426dd399e39d677cace65735adcb76b944b4ba

Observation c16f95b4-0a55-4d7a-8878-4b67f8b3463c · outbound

This paper cites Cp-sat, 2024.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Cp-sat, 2024

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.382933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.514728Z digest=sha256:026806587ff1ed63407a2a783e462d9052b08334a436de7fbe0ad1a8fe3ee23f

Observation 670cf108-5649-4bbb-a0ef-3c3a16a3d276 · outbound

This paper cites Surgical case scheduling as a generalized job shop scheduling problem.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Surgical case scheduling as a generalized job shop scheduling problem

Reference 48

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verified exact
doi, observed 2026-08-07T05:10:26.803134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.520155Z digest=sha256:ece76836d6bd2e0e2f1367267c6e8d26d2ee2822197f25c71f73943471316d5c

Observation 27034614-472c-477f-98d9-d54403cbe3f9 · outbound

This paper cites Pomerleau.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Pomerleau

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.365239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.525982Z digest=sha256:7ee940db8ee955d05a4f9f461072cf7ae1a77456c46530a76e790e1018357037

Observation 09394df5-6260-4c60-b077-0040ed2c1fab · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Stable-baselines3: Reliable reinforcement learning implementations

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.531644Z digest=sha256:d770a2bdf103b3b9cafdfa6eb233fabb73b78d468cec44deed30e44d49061181

Observation 981a98ad-1c2a-4d33-8e2e-94b54c10a41f · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 51

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.537240Z digest=sha256:ac2924228a9ce473bd0d80aa9efc9cbd0920f1633f89edcd306747ee805f0050

Observation 4ef94078-c302-46fe-ac16-fc246e972e6e · outbound

This paper cites Chapter 1 - introduction.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Chapter 1 - introduction

Reference 52

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doi, observed 2026-08-07T05:10:26.785332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.542569Z digest=sha256:fe6660ccf520cbed04fbf6ae520f6d6a9c715dcba34922998d5150dd4a3b9ca6

Observation cac42e2a-dd95-484a-b005-c3f4e6e9307b · outbound

This paper cites Rumelhart, G.E.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Rumelhart, G.E

Reference 53

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source=arxiv_source observed=2026-08-07T05:10:26.547746Z digest=sha256:8e12ee21f337aa2507356ba2abb4b7aa652511b67b902ba8243229194174fb00

Observation 01ac62a4-a043-4a0a-9f6f-fee6c5469b61 · outbound

This paper cites A Survey on Oversmoothing in Graph Neural Networks.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A Survey on Oversmoothing in Graph Neural Networks

Reference 54

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.553255Z digest=sha256:f98cfc761c74abae252c6e34e6cc367e07ba522d548db1576ecc5bcc5a5c940d

Observation e5d676f3-0265-4a91-8329-f1e71e26af55 · outbound

This paper cites Sarfaraj, Md.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Sarfaraj, Md

Reference 55

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.558407Z digest=sha256:b33c2828c5e627d4a070938bd93f8af2fa4737a338b4331c028ea5355a7bc6fa

Observation bc6e7fb8-9050-4dd6-a9bf-088029eb07d1 · outbound

This paper cites The graph neural network model.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The graph neural network model

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.563170Z digest=sha256:bc8fa273c1afc3612c2c4dc9c9c44ed0da80f8d7a826dedd65f54a8883204349

Observation ed756f9c-eb2d-426d-a551-7992b438cb5a · outbound

This paper cites Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.322550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.567888Z digest=sha256:44c0f160352c1057a88a3f037b967948895890880787121e972ef8c3cb924e4e

Observation ac554b0d-c1eb-4b11-8b2b-8136898a2ae7 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.573089Z digest=sha256:0732611e3320407b08315db25ed887727f9e484dcc90d7038e27c9260bf062c5

Observation 903ad145-8f92-44c5-83e0-7eb910251ebc · outbound

This paper cites Proximal Policy Optimization Algorithms.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Proximal Policy Optimization Algorithms

Reference 59

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.578398Z digest=sha256:78d62e2b6ec03d217e12ca5f5f197a42a43129c6d3213ed4e8927f294d9d0bdf

Observation 803c3f0a-3dde-472c-93ee-81069f358b96 · outbound

This paper cites Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, and Wim Nuijten.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, and Wim Nuijten

Reference 60

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raw_fallback, observed 2026-08-07T05:10:27.291847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.584146Z digest=sha256:e721d527f414f34544a62aef1baa7d2b4f0636d7f5a8793359656aa95198c031

Observation 9acc56e6-fb90-4769-aae4-9ed858360de9 · outbound

This paper cites Flexible job shop scheduling via graph neural network and deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Flexible job shop scheduling via graph neural network and deep reinforcement learning

Reference 61

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raw_fallback, observed 2026-08-07T05:10:27.207049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.589448Z digest=sha256:d781d2e2acf646db8227c1776c59c5e7dfef4b7a11f2cf2758a6b4d7aabfdf89

Observation 32f56829-58dd-4863-b25f-2878e59d062b · outbound

This paper cites Storer, S.D.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Storer, S.D

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.305861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.594697Z digest=sha256:30ded78ba334e143c9a1257ceab3559499c8d5baf399fb6471dd86faeebfb86e

Observation 2e52e8d6-da12-4b63-b295-54583c7ad0dd · outbound

This paper cites Sutton and Andrew G.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Sutton and Andrew G

Reference 63

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no resolver link, observed 2026-08-07T05:10:26.599890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.599890Z digest=sha256:5e3d72be6bd362092c5430a8b5fd249a4c08dd4fe9ff05c17eed699ff44fd519

Observation baaf86b7-b7ae-4deb-a1ee-caff92f49887 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Policy gradient methods for reinforcement learning with function approximation

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.278512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.605397Z digest=sha256:cee397ac022a7d843e21cf477dcd11a64b77e6aa20cb9c01addbf9941be2c323

Observation 6c940ffb-38a7-4e2b-99f6-af2bb11ddcb7 · outbound

This paper cites Taillard.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Taillard

Reference 65

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raw_fallback, observed 2026-08-07T05:10:28.260567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.611323Z digest=sha256:4154b58779c4e74d524e03b6a7ae5cfd0334a72443da5b91ca7ebef4319e9287

Observation 00443908-4720-416f-a685-60aaa7dd0211 · outbound

This paper cites A reinforcement learning environment for job-shop scheduling, 2021.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A reinforcement learning environment for job-shop scheduling, 2021

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.241958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.617111Z digest=sha256:4dc5bdb9b3dc41782d1794716501bd0ab5677c4d9ede6f34b0041003d2192892

Observation 7836eb60-5a66-429a-a73f-bce110bf4c91 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 67

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no resolver link, observed 2026-08-07T05:10:26.621783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.621783Z digest=sha256:5c5119bfa4f9ddb6dac7fcf02c50edd959fd76c684f7867e4b6b34a96ff2e8b6

Observation 0db81fcf-d0a8-4494-b22c-e9290ed6993b · outbound

This paper cites Attention is all you need.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Attention is all you need

Reference 68

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no resolver link, observed 2026-08-07T05:10:26.626763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.626763Z digest=sha256:27728613b71eb4e2bde6cd4a58bae2ad658fc1d73f1b143847a18cd880699a59

Observation 5fd72005-ffb8-424d-acef-aa3548a6906e · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.631647Z digest=sha256:8f75569d1ca1e1e2133bf9b63028db09d7451e70efcc6457b6c0d07a59e17543

Observation f66cd75a-43e4-49f0-ad8e-c8fb3e5eaef3 · outbound

This paper cites Graph attention networks, 2018.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Graph attention networks, 2018

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.636546Z digest=sha256:1062eda64a8d8e8c8d1fcf9884b7d10f9cc02f51488e88c77289108950fda73d

Observation afc5b467-773a-4967-887b-8d5502c17b27 · outbound

This paper cites Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.641387Z digest=sha256:e0372074311e11771a6d69620c182a8ad771c7465825b3c30ac14e98a6479792

Observation 875cbe08-3db5-4c7a-8d2d-215f6e11be7f · outbound

This paper cites JSSP instances and results.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment JSSP instances and results

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.181926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.646312Z digest=sha256:2300c3b524de5b66952481e4f4124e318d1b122a36225b6021ccca0bfbfbe952

Observation 18c19f49-8837-4d65-9b57-9180ae9364e2 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 73

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.650917Z digest=sha256:48ab8df7b7d75833b15b761a92ecdec3b0ca6ba65c1e0267723a5303214da980

Observation e4f7d868-f47d-4023-b55f-0ddc3abf256e · outbound

This paper cites The future of jobs report 2023.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The future of jobs report 2023

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.141473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.656654Z digest=sha256:20d21f7cf5500a2ef54b82cab70a08e15709899f828807c8e7f449942bb0a5cf

Observation 7f78654c-03ef-45a3-b112-79e30aa2008b · outbound

This paper cites A survey of job shop scheduling problem: The types and models.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A survey of job shop scheduling problem: The types and models

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.124107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.662120Z digest=sha256:d810d1e503861ced19c2860fbbf3a6ac8505b7565b971b49e33f90a1c2f51500

Observation 1b52a4e6-b2e1-495b-ae0f-44780fb2cccb · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations, 2019.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment How powerful are graph neural networks? In International Conference on Learning Representations, 2019

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:26.667996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.667996Z digest=sha256:4a158641721246db959cbbbf67974a962815cb704fd252c245d2c76f642f5158

Observation 1a34a6b5-b874-44fc-805d-0300e5763517 · outbound

This paper cites Yamada and R.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Yamada and R

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.096386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.673612Z digest=sha256:d0792fa45aa813426b3699fe146c83b14208e156b01d93c8a709289bc825df27

Observation 6c1031d8-12ac-4b2e-b215-daf75bdcde53 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:26.680130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.680130Z digest=sha256:c397ac6da5576945691d71c3166f76c7cace0b62aa4e3ef7ac0b38734d69abbb

Observation aa7f8cde-b8ff-4b25-8d55-f6fb18eaf352 · outbound

This paper cites Solving job shop scheduling problems via deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Solving job shop scheduling problems via deep reinforcement learning

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:26.684897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:26.684897Z digest=sha256:f12afbae5802885501724ec4b789a190d3e0127f7898d0411a2657f3a37511d7

Observation cf6e44aa-445c-44e7-b45c-664f7706063a · outbound

This paper cites Learning to dispatch for job shop scheduling via deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Learning to dispatch for job shop scheduling via deep reinforcement learning

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.079066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.689704Z digest=sha256:2215f296e370cc7db247beba0a755c29973e4fcc1a2faf8e34ea1194c9dc6f0e

Observation f6373cc0-04a0-4621-a17e-f809dab8bcf0 · outbound

This paper cites A review on learning to solve combinatorial optimisation problems in manufacturing.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A review on learning to solve combinatorial optimisation problems in manufacturing

Reference 81

Resolution
verified exact
doi, observed 2026-08-07T05:10:26.746702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.694800Z digest=sha256:f292bb67603767d608def051f19c72560d5d6f5e92d93fe194b13a2015688669

Observation 2a34fea8-b9e1-48a5-a854-fdacd5af0e67 · outbound

This paper cites A constraint program for solving the job-shop problem.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A constraint program for solving the job-shop problem

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.060697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.699721Z digest=sha256:07a18410153e8cd622ff1ad72426928ce21a9ea85a9e2ef554d3f9d7f2f6382d

Observation d3a4c2c0-9526-4cb2-af80-b61f4dda6238 · outbound

This paper cites Pep 604 -- allow writing union types as x | y.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Pep 604 -- allow writing union types as x | y

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:10:28.038698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T05:10:26.704584Z digest=sha256:4a98bbea90ca449d1665d2b5328794d1e789ae346150d25eadf4eab8b36325f9

Pith citing papers

No inbound Pith citation observations are available.