Paper Citation Record · LEDGER

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2506.02255.

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

pith.paper-citation-record.v1
2506.02255 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:04.280424Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T18:22:36.891186Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:30.118345Z

Reference resolution

48 of 48 outbound references displayed

verified exact6
verified fuzzy18
unresolved23
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61b4bb19-aa9d-40ad-9e7b-29e8d07e1ae0 · outbound

This paper cites Constrained policy optimization.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Constrained policy optimization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:10.596282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 963558d4-3461-40c8-8890-0340c2d8b3f9 · outbound

This paper cites Routledge, 2021.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Routledge, 2021

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:00.846267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82110d89-acf1-4b2c-af1e-78bf1524618b · outbound

This paper cites PC-Gym: Benchmark Environments For Process Control Problems.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems PC-Gym: Benchmark Environments For Process Control Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:00.933042Z

Source-reported events for the cited work

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Observation c823ab86-d027-4433-a3cf-573586a4c857 · outbound

This paper cites OpenAI Gym.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems OpenAI Gym

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.071746Z

Source-reported events for the cited work

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Observation d19c23c3-1c0d-4e9b-8d34-ec6f43937918 · outbound

This paper cites Constante Flores, and Can Li.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Constante Flores, and Can Li

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.098289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee78dae1-61cb-49f1-bbb7-9ea60b2bdecb · outbound

This paper cites Maravelias.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Maravelias

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T11:32:04.764384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 680d83cb-0584-4604-a0a6-662a7859c9c2 · outbound

This paper cites A comprehensive survey on safe reinforcement learning.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems A comprehensive survey on safe reinforcement learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.262174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d6cb76d-128d-48dc-990e-0fad61852665 · outbound

This paper cites A Review of Safe Reinforcement Learning: Methods, Theory and Applications.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.311859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 024bc4db-08ee-4953-a254-d6e1a5179c1e · outbound

This paper cites Gurobi Optimizer Reference Manual, 2025.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Gurobi Optimizer Reference Manual, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.369592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ba0d41-55b6-4493-b7e8-10874879b2f8 · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T11:32:04.653160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31a9d86d-a3df-45f2-b106-3fa6dc851621 · outbound

This paper cites OR-Gym: A Reinforcement Learning Library for Operations Research Problems.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems OR-Gym: A Reinforcement Learning Library for Operations Research Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.514345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e561115-3525-4ff6-88bf-b71c567e5bdc · outbound

This paper cites Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.612049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e1578fa-907d-4623-97db-674db1d53f0a · outbound

This paper cites Safety gymnasium: A unified safe reinforcement learning benchmark.Advances in Neural Information Processing Systems, 36:18964–18993, 2023.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Safety gymnasium: A unified safe reinforcement learning benchmark.Advances in Neural Information Processing Systems, 36:18964–18993, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.701692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2fdcb9-ea61-4159-965a-9e15b5878c45 · outbound

This paper cites Omnisafe: An infrastructure for accelerating safe reinforcement learning research.Journal of Machine Learning Research, 25(285):1–6, 2024.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Omnisafe: An infrastructure for accelerating safe reinforcement learning research.Journal of Machine Learning Research, 25(285):1–6, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.782684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35bab0a-a797-430a-ab8b-3df32a2e304d · outbound

This paper cites On mixed-integer programming formulations for the unit commitment problem.INFORMS Journal on Computing, 32(4): 857–876, 2020.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems On mixed-integer programming formulations for the unit commitment problem.INFORMS Journal on Computing, 32(4): 857–876, 2020

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.849797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e585d979-abf4-48c6-910c-94d51daf0329 · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:32:10.371027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bbac67ff-0281-41d0-b213-0ded30ee4408 · outbound

This paper cites Lillicrap, Jonathan J.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Lillicrap, Jonathan J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:10.250450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 23147806-69be-4b36-b7f8-da24b011e394 · outbound

This paper cites Unified frameworks for optimal process planning and scheduling.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unified frameworks for optimal process planning and scheduling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:10.072484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c3ecbaf-e821-40ce-a2bb-a98e951c56aa · outbound

This paper cites Reinforcement learning for process control: Review and benchmark problems.International Journal of Control, Automation and Systems, 23(1):1–40, 2025.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Reinforcement learning for process control: Review and benchmark problems.International Journal of Control, Automation and Systems, 23(1):1–40, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:09.922915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35520a46-a229-483c-b386-37c74047544b · outbound

This paper cites Algorithmic approaches to inventory management optimization.Processes, 9(1):102, 2021.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Algorithmic approaches to inventory management optimization.Processes, 9(1):102, 2021

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:09.686849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcebe945-e01f-43c5-bcfe-400da2d02b52 · outbound

This paper cites Re- inforcement learning for efficient power systems planning: A review of operational and ex- pansion strategies.Energies, 17(9), 2024.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Re- inforcement learning for efficient power systems planning: A review of operational and ex- pansion strategies.Energies, 17(9), 2024

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T11:32:04.541133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b67f19cf-3384-4bbc-a372-6bd119fec031 · outbound

This paper cites Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:32:05.151515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4e0ec13-29eb-46fa-885a-dd9bc7e0cb1c · outbound

This paper cites A Tutorial on Multi-time Scale Optimization Models and Algorithms.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems A Tutorial on Multi-time Scale Optimization Models and Algorithms

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:32:04.951229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c6730b4-5401-417d-a511-01f3d0bcbf6a · outbound

This paper cites Prentice Hall Upper Saddle River, NJ, 1998.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Prentice Hall Upper Saddle River, NJ, 1998

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:09.489857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e78abb14-1057-4130-8668-4f583eacd316 · outbound

This paper cites Benchmarking Safe Exploration in Deep Reinforcement Learning.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Benchmarking Safe Exploration in Deep Reinforcement Learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:09.260888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45547f6f-583e-49d8-8256-14b22f7b90fe · outbound

This paper cites Trust region policy optimization.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Trust region policy optimization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:09.067408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b039c111-175d-4152-8354-d51e969a8161 · outbound

This paper cites MuJoCo: A physics engine for model-based control.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems MuJoCo: A physics engine for model-based control

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:02.936228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508b018d-30e7-40bb-9518-79a7f0f4c175 · outbound

This paper cites Xenos, Georgios M.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Xenos, Georgios M

Reference 28

Resolution: verified exact; doi, observed 2026-08-07T11:32:04.419329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0be6881f-ab1c-40c5-8c0c-49ea42d7d187 · outbound

This paper cites Crpo: A new approach for safe reinforcement learning with convergence guarantee.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Crpo: A new approach for safe reinforcement learning with convergence guarantee

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:08.857888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 419a0363-ada2-44ae-b4be-f89978500c28 · outbound

This paper cites Sustaingym: Reinforcement learning environments for sustainable energy systems.Advances in Neural Information Processing Systems, 36:59464–59476, 2023.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Sustaingym: Reinforcement learning environments for sustainable energy systems.Advances in Neural Information Processing Systems, 36:59464–59476, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:08.703573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6bc3645a-7918-4151-a5ee-b4b84385df62 · outbound

This paper cites Penalized proximal policy optimization for safe reinforcement learning.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Penalized proximal policy optimization for safe reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:08.552714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1012ca51-be2a-4e4b-8f96-61003b4a8176 · outbound

This paper cites Grossmann, Clara F.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Grossmann, Clara F

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:03.274856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8740be19-5a77-4434-be49-9c9ffdbc7b34 · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:32:08.336676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e18a99ec-4f9b-4b20-8af8-d3c86fef6598 · outbound

This paper cites Xr,t+1 =X r,t +p t,r,0 pt =p t−1,r,1:τmax ⊕ X i max{νi,r,0} ·afinal i,t (1).

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Xr,t+1 =X r,t +p t,r,0 pt =p t−1,r,1:τmax ⊕ X i max{νi,r,0} ·afinal i,t (1)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:08.175147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74867053-cea8-485b-8367-2d8f63739cc8 · outbound

This paper cites A part of the cost is calculated based on this.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems A part of the cost is calculated based on this

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:08.022092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ac320ab-4e1f-409f-a827-fa1f2d6c8b12 · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:32:07.861052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29c3ff90-a4fb-4af6-9131-99cab3040995 · outbound

This paper cites Xs,t+1 =X s,t +p t,s,0 pt+1,s =p t,s,1:τmax ⊕ X e X i max(νi,s,0)·a final i,e,t (2).

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Xs,t+1 =X s,t +p t,s,0 pt+1,s =p t,s,1:τmax ⊕ X e X i max(νi,s,0)·a final i,e,t (2)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:07.655416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 993405ec-c93c-4a6d-bf64-a2da5dec5d97 · outbound

This paper cites Violations of these bounds contribute to the constraint cost.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Violations of these bounds contribute to the constraint cost

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:07.473629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e33421c7-3ebc-47b7-9b74-f555aa4649b2 · outbound

This paper cites 33 Sales and Backlog Update.Sales are Sr,m,t = min Dr,m,t +B r,m,t−1, Ir,t , then Ir,t ←I r,t −S r,m,t, B r,m,t =D r,m,t +B r,m,t−1 −S r,m,t.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems 33 Sales and Backlog Update.Sales are Sr,m,t = min Dr,m,t +B r,m,t−1, Ir,t , then Ir,t ←I r,t −S r,m,t, B r,m,t =D r,m,t +B r,m,t−1 −S r,m,t

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:07.243614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 23e14cd6-1a62-4585-9abf-5b071a58c012 · outbound

This paper cites Let the resulting action vector be at = pg,t g∈G ∥ cn,t n∈N ∥ pd n,t n∈N ∥ ℓn,t n∈N ∥ θn,t n∈N \{1}, withθ 1,t ≡0.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Let the resulting action vector be at = pg,t g∈G ∥ cn,t n∈N ∥ pd n,t n∈N ∥ ℓn,t n∈N ∥ θn,t n∈N \{1}, withθ 1,t ≡0

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:06.997162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6008c2d5-8dbe-465f-8d6b-103554c18471 · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:32:06.670757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 431340fe-5d2a-44c8-8f7a-2f19f3598bea · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:32:06.437399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fe802bd-14c4-4f32-a3f6-cb8466165ef4 · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:32:06.218668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcad44a6-12a6-4714-85be-14f6c2e3603e · outbound

This paper cites an unresolved cited work.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:32:05.934491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1a6870d-ba19-4f04-9529-4bafb4747b26 · outbound

This paper cites The nodal power-balance residual is: ∆n,t =P n,t − X j∈N Bnj(θn,t −θ j,t), and the network-balance penalty is: C bal t =ϕ bal X n∈N |∆n,t|.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems The nodal power-balance residual is: ∆n,t =P n,t − X j∈N Bnj(θn,t −θ j,t), and the network-balance penalty is: C bal t =ϕ bal X n∈N |∆n,t|

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:05.667389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85772ac9-40e5-4cf9-ad58-e4810ee2e5fb · outbound

This paper cites Work” (active production) and “Off.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Work” (active production) and “Off

Reference 48

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:32:05.423083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e789084-1a41-45d8-85ca-099a04c35cb8 · outbound

This paper cites Continuous control with deep reinforcement learning.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems Continuous control with deep reinforcement learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:02.130807Z

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Observation 46015323-1c64-40a8-8f4c-587787a22b41 · outbound

This paper cites PC-Gym: Benchmark Environments For Process Control Problems.

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems PC-Gym: Benchmark Environments For Process Control Problems

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:01.018749Z

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Pith citing papers

Observation 4e50de92-f92c-4dfa-82c0-8feea0a431a5 · inbound

CRAX: Fast Safe Reinforcement Learning Benchmarking cites this paper.

CRAX: Fast Safe Reinforcement Learning Benchmarking SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-17T00:20:38.825561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.