Paper Citation Record · LEDGER

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.19063.

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

pith.paper-citation-record.v1
2501.19063 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:33:13.742445Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact0
verified fuzzy26
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c34c4ab-097f-4ea8-964d-53e4bf62d4ff · outbound

This paper cites Layer Normalization.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Layer Normalization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.530733Z

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Observation 82a7c88a-5694-4cd3-a124-441be8a2f3df · outbound

This paper cites ReZero is All You Need: Fast Convergence at Large Depth.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks ReZero is All You Need: Fast Convergence at Large Depth

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.537223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8294119c-b486-4317-b4f3-60e4928cca1c · outbound

This paper cites Cool job allocation: Measuring the power savings of placing jobs at cooling-efficient locations in the data center.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Cool job allocation: Measuring the power savings of placing jobs at cooling-efficient locations in the data center

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.354352Z

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.

Observation 9721b0bb-a34c-4d52-bc4b-07228c86b93e · outbound

This paper cites The state of the art of nurse rostering.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks The state of the art of nurse rostering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.338500Z

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.

Observation 6869af92-c935-4969-954c-7e1ee14e7bef · outbound

This paper cites Combinatorial optimization and reasoning with graph neural networks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Combinatorial optimization and reasoning with graph neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.322959Z

Source-reported events for the cited work

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Observation 7b9baede-622e-4320-b38d-014f4bd40ea3 · outbound

This paper cites A research survey: review of flexible job shop scheduling techniques.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks A research survey: review of flexible job shop scheduling techniques

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.306969Z

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.

Observation 3546b042-ef23-4dc6-a6a3-294b3338c146 · outbound

This paper cites A gnn-based supervised learning framework for resource allocation in wireless iot networks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks A gnn-based supervised learning framework for resource allocation in wireless iot networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.289640Z

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.

Observation 567247c1-b9e6-4ab4-8c90-9ecbaa878ceb · outbound

This paper cites Heuristics from nature for hard combinatorial optimization problems.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Heuristics from nature for hard combinatorial optimization problems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.273167Z

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.

Observation c69bab46-3708-465e-bf8a-a61caff92f8c · outbound

This paper cites Combinatorial optimization models for production scheduling in automated manufacturing systems.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Combinatorial optimization models for production scheduling in automated manufacturing systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.258477Z

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.

Observation d19e7134-1b12-4cfd-8320-960b46ea2769 · outbound

This paper cites Exact combinatorial optimization with graph convolutional neural networks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Exact combinatorial optimization with graph convolutional neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.243760Z

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.

Observation 5acf88b1-8ccb-40f0-971a-7e3bc76dd357 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Gaussian Error Linear Units (GELUs)

Reference 11

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Source-reported events for the cited work

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Observation 324a5cfc-9a71-4385-b0c0-57dc427e282c · outbound

This paper cites Supervised learning linear priority dispatch rules for job-shop scheduling.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Supervised learning linear priority dispatch rules for job-shop scheduling

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.229786Z

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.

Observation 0bf8ad5e-fb64-43e8-bdb6-fb3f6dad17c6 · outbound

This paper cites Reinforcement learning: A survey.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Reinforcement learning: A survey

Reference 13

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Source-reported events for the cited work

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Observation 5a20e68b-c318-4f36-af73-24f1c65407c8 · outbound

This paper cites Reinforcement learning applications to machine scheduling problems: a comprehensive literature review.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Reinforcement learning applications to machine scheduling problems: a comprehensive literature review

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.203045Z

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.

Observation 445384d9-c49e-42de-9440-5376a0ec58ea · outbound

This paper cites Job allocation schemes for mobile service robots in hospitals.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Job allocation schemes for mobile service robots in hospitals

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.187334Z

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.

Observation 286fd654-163f-41f6-ba8c-2b2107b3c804 · outbound

This paper cites Pomo: Policy optimization with multiple optima for reinforcement learning.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Pomo: Policy optimization with multiple optima for reinforcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.171177Z

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.

Observation faee4ed5-5fa8-4553-9afa-5c8a5eaad1f8 · outbound

This paper cites Relaxation heuristics for a generalized assignment problem.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Relaxation heuristics for a generalized assignment problem

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.155314Z

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.

Observation d0ce6424-d09d-4245-96d5-782eacf5334b · outbound

This paper cites Decoupled Weight Decay Regularization.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Decoupled Weight Decay Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.634383Z

Source-reported events for the cited work

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Observation 84f01a7f-2bec-43b8-bc14-92dca8deb7b5 · outbound

This paper cites Applications of deep learning and reinforcement learning to biological data.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Applications of deep learning and reinforcement learning to biological data

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.139440Z

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.

Observation e84b17de-2663-4bb3-a527-b06c0a0af063 · outbound

This paper cites Human-level control through deep reinforcement learning.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Human-level control through deep reinforcement learning

Reference 20

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Source-reported events for the cited work

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Observation e42eb90e-58b9-41ea-9ceb-49d6fdd8e6a6 · outbound

This paper cites A new agents-based model for dynamic job allocation in manufacturing shopfloors.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks A new agents-based model for dynamic job allocation in manufacturing shopfloors

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.113493Z

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.

Observation 41222e98-e1d6-4dbb-92f8-16e27a9b8c23 · outbound

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

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.653939Z

Source-reported events for the cited work

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Observation 83e7a4ba-ffdb-41d9-98b3-f34716587282 · outbound

This paper cites Price-based user-optimal job allocation scheme for grid systems.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Price-based user-optimal job allocation scheme for grid systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.097994Z

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.

Observation f7f9fc38-2397-4800-b4ba-98c7527c9929 · outbound

This paper cites Scheduling, volume 29.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Scheduling, volume 29

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.663218Z

Source-reported events for the cited work

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Observation e8faf418-522a-4cb8-8081-6bf0a43f6c17 · outbound

This paper cites Survey of model-based reinforcement learning: Applications on robotics.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Survey of model-based reinforcement learning: Applications on robotics

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.070598Z

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.

Observation f89e8459-0a43-4b5d-8879-8b744dbdcde1 · outbound

This paper cites Prioritized Experience Replay.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Prioritized Experience Replay

Reference 26

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Source-reported events for the cited work

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Observation 032daf21-a06e-4456-ac80-868b3fe0a130 · outbound

This paper cites Combinatorial optimization with physics-inspired graph neural networks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Combinatorial optimization with physics-inspired graph neural networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.677073Z

Source-reported events for the cited work

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Observation 153dc382-9b31-4a50-a86e-9fee8f86f686 · outbound

This paper cites Approximate algorithms scheduling parallelizable tasks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Approximate algorithms scheduling parallelizable tasks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.044091Z

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.

Observation 91ebdd3d-baad-45ff-ac6a-7a01d518000d · outbound

This paper cites Deep reinforcement learning with double q-learning.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Deep reinforcement learning with double q-learning

Reference 29

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Source-reported events for the cited work

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Observation 403caab8-8023-4476-b176-ee9c119d3f13 · outbound

This paper cites Approximation algorithms, volume 1.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Approximation algorithms, volume 1

Reference 30

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Source-reported events for the cited work

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Observation 99743e72-76ee-4342-9da1-3286a4a4ac56 · outbound

This paper cites Graph Attention Networks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Graph Attention Networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:14.007782Z

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.

Observation 0e094386-d0f2-4bae-9623-4b253503fe89 · outbound

This paper cites Framework for incorporating human factors into production and logistics systems.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Framework for incorporating human factors into production and logistics systems

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:13.991169Z

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.

Observation 4e5e65bd-1683-405f-a6b2-a64a615b2950 · outbound

This paper cites Learning scheduling policies for multi-robot coordination with graph attention networks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Learning scheduling policies for multi-robot coordination with graph attention networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:13.975346Z

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.

Observation f60abc26-d2a5-4065-b4b9-a297575e8871 · outbound

This paper cites Integer and combinatorial optimization, volume 55.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Integer and combinatorial optimization, volume 55

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:13.960887Z

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.

Observation 39ea8198-79cb-42fd-bd7a-1e1f4d32fae2 · outbound

This paper cites A comprehensive survey on graph neural networks.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks A comprehensive survey on graph neural networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.716535Z

Source-reported events for the cited work

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Observation a227f13a-76ef-43f6-9474-9baa93f72452 · outbound

This paper cites How powerful are graph neural networks?, 2019.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks How powerful are graph neural networks?, 2019

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T21:33:13.722352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387d3e88-07d2-460d-a1dc-9428ce9706e0 · outbound

This paper cites It’s not what machines can learn, it’s what we cannot teach.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks It’s not what machines can learn, it’s what we cannot teach

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:13.927264Z

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.

Observation 397aafd3-f3a0-45f1-84be-e0220a50f1f9 · outbound

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

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Learning to dispatch for job shop scheduling via deep reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:13.911394Z

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.

Observation c202f4fb-3f03-4e4b-a6b0-6578f57ee732 · outbound

This paper cites Learning to search for job shop scheduling via deep reinforcement learning, 2022.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Learning to search for job shop scheduling via deep reinforcement learning, 2022

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:13.895049Z

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.

Observation 1f327347-d33f-4e09-b016-fac3f34e5b3c · outbound

This paper cites Graph neural networks: A review of methods and applications.

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Graph neural networks: A review of methods and applications

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:33:13.877011Z

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.

Pith citing papers

No inbound Pith citation observations are available.