Paper Citation Record · LEDGER

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments

As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.00762.

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

pith.paper-citation-record.v1
2507.00762 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:13:12.975607Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

29 of 29 outbound references displayed

verified exact3
verified fuzzy10
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6252a9e7-bc23-4391-a651-e39f4299a8af · outbound

This paper cites After publication, it will be available in the official LOD 2025 proceedings.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments After publication, it will be available in the official LOD 2025 proceedings

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.938099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7778974c-f03a-4701-950a-79e45747c1ab · outbound

This paper cites In: Nayyar, A., Naved, M., and Rameshwar, R.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments In: Nayyar, A., Naved, M., and Rameshwar, R

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.867083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e609095-ed01-4b6f-b7d5-febfc257ed9d · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.795374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b67fceaa-6a64-4521-8b92-ab53e37dd47f · outbound

This paper cites In: 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments In: 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.725988Z

Source-reported events for the cited work

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Observation f6bd277d-51ed-4bdf-8931-18ea5957c369 · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.654351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7ac5c18-917b-4b5b-a40f-7ea600508b96 · outbound

This paper cites The MIT Press, Cam-bridge, Massachusetts (2018).

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments The MIT Press, Cam-bridge, Massachusetts (2018)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.583511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dcfaaa2a-1aa4-4462-b84b-65dd2ebef841 · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.513466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e709a667-2eab-4522-be30-8fef22e91872 · outbound

This paper cites In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (2018).

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (2018)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.451418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e724a338-3a86-4d40-abfe-2a92b9516b6a · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.382333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b7d86a2-b643-4dc2-999f-0d9ebd00c2f7 · outbound

This paper cites In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence.

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.336809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 077ff195-c3f2-40a7-bded-830d707e47d2 · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.279015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6de941b3-2ac8-430b-918b-42bf8258f94e · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.205363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c030f998-b93a-43a1-91c1-8dcd2ae04871 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Proximal Policy Optimization Algorithms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.819509Z

Source-reported events for the cited work

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Observation 22456756-5a54-4fcf-b7e6-102050be90b7 · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.145206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b321202-d5f1-49d1-8465-82c19db5fbbf · outbound

This paper cites SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:13:13.329841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3f50a54-710b-4c63-a4d7-b4ac11dd04cc · outbound

This paper cites Energies.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Energies

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.071530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca78af40-03a6-4381-b9eb-6b29be49297d · outbound

This paper cites Reinforcement Learning to improve delta robot throws for sorting scrap metal.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Reinforcement Learning to improve delta robot throws for sorting scrap metal

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:13:13.243421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb729886-a088-4dee-8a9b-4bd8768530b9 · outbound

This paper cites In: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE).

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments In: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:14.006499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34500e56-a977-43f2-a942-fcd72c0240fd · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.935108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5cdcc5e5-136a-4a8b-b044-e0618d423b44 · outbound

This paper cites A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Reference 20

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Source-reported events for the cited work

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Observation 50bd0116-4b17-474b-92d9-c4b4cf9f6ce9 · outbound

This paper cites Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.908372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 284ae468-6727-47ce-8e80-08e8146758fb · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.861943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5a03425-b5bb-4738-aba7-d0db926d180d · outbound

This paper cites IEEE Trans.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments IEEE Trans

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:13.787668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 85aae2d1-3611-459b-a305-922be860112a · outbound

This paper cites In: 2024 International Joint Conference on Neural Networks (IJCNN).

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments In: 2024 International Joint Conference on Neural Networks (IJCNN)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:13.715722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9407f8c9-dcbc-4feb-a520-f50fc9beb565 · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.645170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b88db393-8cc1-4f90-a1da-00c839b657c8 · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.561583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d42ab4fc-64b3-4e4f-b054-3758ce3a916c · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-06T21:13:13.136387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e8aa614-2d46-444d-85d3-b4ae6da606fc · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.490103Z

Source-reported events for the cited work

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Observation 5c4835a3-8c68-47f8-9e1a-e0d6edfb85eb · outbound

This paper cites an unresolved cited work.

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.420454Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.