Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:36:33.708676Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 0 inbound Pith citation observations for arXiv:2502.09417.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:36:33.708676Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 108 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e1228a0a-e975-45b3-960b-cd68601ca37f · outbound
A Survey of Reinforcement Learning for Optimization in Automation Unresolved cited work
Reference 1
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Observation 49bbd95e-d178-4c57-b174-75b2ce8d4323 · outbound
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Observation 17c45300-98f1-4106-ab17-45ef09da20fb · outbound
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Reference 3
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Observation be8b5044-338f-4630-9e31-11e3c918caf5 · outbound
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Observation 4f3c26f1-ea9a-4db5-94b2-03e80f7a6e12 · outbound
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Observation 77ac5118-00f6-4e3a-bb4f-7f65f900aa6f · outbound
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Observation 98f87576-114b-4095-b2d5-197db06aa285 · outbound
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Reference 9
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Observation 07806f6f-635b-41ba-b86c-0454111b9039 · outbound
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Observation c2c0afd4-2d13-4cd1-a148-bdb8649ddbd8 · outbound
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Observation 1f4390e4-f241-46f6-bf72-c8dc936162ed · outbound
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Observation 092bbfb2-5b62-4176-9742-e3faa75bcac5 · outbound
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Reference 13
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Observation 8f581a0b-572f-41da-aa4c-22dbd3f697de · outbound
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Observation e85d2636-7391-4951-88ac-b4fe01ec0ec8 · outbound
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Reference 17
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Observation 1e673c8e-0458-415c-af6f-d97e8da66250 · outbound
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Reference 18
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Reference 19
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Reference 20
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Observation dc6b4fd7-8851-4360-b2b2-040359d522b5 · outbound
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Reference 21
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Observation 80ed8307-ae0e-4cb1-aae9-2471e4c02f33 · outbound
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Observation 42893808-7b3d-40aa-803c-21b0fb442131 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Using meta reinforcement learning to bridge the gap between simulation and experiment in energy demand response,
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Observation 64b59504-e520-4cbb-821e-c4a41865e3b8 · outbound
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Observation a2cfac70-59a5-4229-bec6-c0c34a896022 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Deep reinforcement learning-based demand response for smart facilities energy management,
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Observation 1cf0221b-edd3-4756-bef8-a223f754e4ad · outbound
A Survey of Reinforcement Learning for Optimization in Automation Multi-agent deep rein- forcement learning based demand response for discrete manufacturing systems energy management,
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Observation 347e4ab7-b9d9-4049-b8e7-f82367b9c081 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Testbed implementation of reinforcement learning-based demand response energy management system,
Reference 34
Source-reported events for the cited work
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Observation 99a2c2d1-40b7-4ffb-8db0-4c5c106cf971 · outbound
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Observation 7ccde4fa-612d-479f-9c90-c41d7797235d · outbound
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Source-reported events for the cited work
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Observation 40c6fcb0-efbd-4dc9-9645-8c7c9f416923 · outbound
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Source-reported events for the cited work
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Observation 11dd84d0-b1e5-44d9-8672-f173fb2df57e · outbound
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Reference 40
Source-reported events for the cited work
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Observation f61c2f09-028e-424e-ae15-6307a217de58 · outbound
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Reference 43
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Observation dff334e1-0be3-4ba1-bf81-5b18b5b9b0af · outbound
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Reference 57
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Reference 58
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Reference 61
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Reference 64
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Reference 67
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Reference 69
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Reference 72
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Reference 73
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Source-reported events for the cited work
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Source-reported events for the cited work
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Reference 79
Source-reported events for the cited work
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A Survey of Reinforcement Learning for Optimization in Automation Safe Reinforcement Learning with Dual Robustness
Reference 80
Source-reported events for the cited work
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Observation d9c98fea-5183-47eb-b67d-026444cd6663 · outbound
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Reference 81
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Observation 5457f1a7-3bd7-47a5-bc78-5d901f1baab8 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Safe reinforcement learning using robust control barrier functions,
Reference 82
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Observation 9c128383-c9dc-4c0d-8e04-0710731d6ad2 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Safe reinforcement learning using robust action governor,
Reference 83
Source-reported events for the cited work
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Observation 226086d9-4c0c-49b2-9579-c358e5e98367 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Safe reinforcement learning using robust mpc,
Reference 84
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Observation 0d91ed9e-980d-42b9-8eca-41f78d83e390 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
Reference 85
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Observation dff55c0a-093b-4d0a-90fe-d9344f031119 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Task-agnostic safety for rein- forcement learning,
Reference 86
Source-reported events for the cited work
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Observation 29b3ce88-d0b3-4d8a-9a68-69d81ff0f06d · outbound
A Survey of Reinforcement Learning for Optimization in Automation Falsification-based robust ad- versarial reinforcement learning,
Reference 87
Source-reported events for the cited work
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Observation 503dd278-7361-4b56-8667-d90b26627b8f · outbound
A Survey of Reinforcement Learning for Optimization in Automation A Survey on Interpretable Reinforcement Learning
Reference 88
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Observation 36328faf-762e-4051-a9a9-6e03687c19f5 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
Reference 89
Source-reported events for the cited work
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Observation 039c8826-59dd-45a1-86d0-63e374e46491 · outbound
A Survey of Reinforcement Learning for Optimization in Automation There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes
Reference 90
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Observation 060a3d21-8994-4ba3-9c77-72db014205a7 · outbound
A Survey of Reinforcement Learning for Optimization in Automation What do rein- forcement learning models measure? interpreting model parameters in cognition and neuroscience,
Reference 91
Source-reported events for the cited work
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Observation 3f9ff627-597a-4669-a12c-dd8d83ed650e · outbound
A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning interpretation methods: A survey,
Reference 92
Source-reported events for the cited work
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Observation b4292e42-6ae8-4514-a3d1-19e206c1950a · outbound
A Survey of Reinforcement Learning for Optimization in Automation Self- supervised discovering of interpretable features for reinforcement learning,
Reference 93
Source-reported events for the cited work
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Observation 9f8389df-804e-4f18-8799-c8c09b7af67c · outbound
A Survey of Reinforcement Learning for Optimization in Automation Learning sparse evidence-driven interpretation to understand deep reinforcement learning agents,
Reference 94
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cc37d66b-bf1a-460c-824d-7a63bbd33147 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Meta- learning in neural networks: A survey,
Reference 95
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a5e3b93f-c857-4a58-bed6-1a4378ac9865 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Learning action translator for meta reinforcement learning on sparse-reward tasks,
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 126117cc-c59f-4078-8cbd-3923a748c2a5 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Curriculum learning for reinforcement learning domains: A framework and survey,
Reference 97
Source-reported events for the cited work
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Observation 808b3c83-1777-459a-a754-3ada3a3aa015 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Effective reinforcement learning using transfer learning,
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1268171f-12d1-4267-902c-662832d31dfe · outbound
A Survey of Reinforcement Learning for Optimization in Automation Multi-source transfer learning for deep model-based reinforcement learning,
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1f0bd06a-6bff-4527-8419-76ff699b49a9 · outbound
A Survey of Reinforcement Learning for Optimization in Automation Efficient meta reinforcement learning for preference-based fast adaptation,
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
No inbound Pith citation observations are available.