Paper Citation Record · LEDGER

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies

As of 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.00328.

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

pith.paper-citation-record.v1
2506.00328 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:40.811000Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

24 of 24 outbound references displayed

verified exact5
verified fuzzy2
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efbf18df-8cec-4cf1-9df5-636682a13c77 · outbound

This paper cites MIT Press, Cambridge, MA (2018).

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies MIT Press, Cambridge, MA (2018)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:38.405931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edba8a00-1700-4c07-bf5f-cb5ddb4cdc75 · outbound

This paper cites Journal of Artificial Intelligence Research 4, 237–285 (1996).

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Journal of Artificial Intelligence Research 4, 237–285 (1996)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:10:43.077385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 749402d5-443d-419e-84c3-c87b5562e028 · outbound

This paper cites Nature 518, 529–533 (2015) https://doi.org/10.1038/nature14236.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Nature 518, 529–533 (2015) https://doi.org/10.1038/nature14236

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:38.559210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d62da9-c86a-405c-8ff8-66828a12cd08 · outbound

This paper cites Proximal Policy Optimization Algorithms.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Proximal Policy Optimization Algorithms

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:38.675197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2170f388-8180-4f00-b136-87abc7062a63 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:38.758020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe62795-7f6a-4d54-bf90-6805b59ae99f · outbound

This paper cites Nature Machine Intelligence 1(5), 206–215 (2019) https://doi.org/10.1038/s42256-019-0048-x.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Nature Machine Intelligence 1(5), 206–215 (2019) https://doi.org/10.1038/s42256-019-0048-x

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:38.824946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5924b4-c7ff-422e-9ea4-06346d597401 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Towards A Rigorous Science of Interpretable Machine Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:38.914231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e07bc4-7265-403a-bbf4-ba066a6511d2 · outbound

This paper cites Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:39.075705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f0e048-95ec-4954-acba-0dc251bf68ad · outbound

This paper cites MIT Press, Cambridge, MA (1992).

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies MIT Press, Cambridge, MA (1992)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:39.201807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a54355d6-2085-4fab-b2bf-f15a912301aa · outbound

This paper cites Journal of Artificial Evolution and Applications2009, 1–25 (2009) https://doi.org/10.1155/2009/736398.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Journal of Artificial Evolution and Applications2009, 1–25 (2009) https://doi.org/10.1155/2009/736398

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T12:10:41.615443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2bdfe6db-8285-4c44-b07a-13e270f36397 · outbound

This paper cites MIT Press, Cambridge, MA (1998).

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies MIT Press, Cambridge, MA (1998)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:10:42.922888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e08bd402-8e1b-4133-8b09-e65970f7025f · outbound

This paper cites Frontiers in Robotics and AI 3, 40 (2016) https: //doi.org/10.3389/frobt.2016.00040.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Frontiers in Robotics and AI 3, 40 (2016) https: //doi.org/10.3389/frobt.2016.00040

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:39.727958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c29530-af97-4dd7-9d8a-e43b5fbc9695 · outbound

This paper cites IEEE Access 8, 177437–177449 (2020) https://doi.org/10.1109/ACCESS.2020.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies IEEE Access 8, 177437–177449 (2020) https://doi.org/10.1109/ACCESS.2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:39.822131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89598e6e-c528-43ff-b9ce-2e287963818f · outbound

This paper cites Nature 521(7553), 503–507 (2015) https://doi.org/10.1038/nature14422.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Nature 521(7553), 503–507 (2015) https://doi.org/10.1038/nature14422

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:39.903130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b597130-5c23-47d0-a867-dfc5df7a8f09 · outbound

This paper cites In: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, pp.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies In: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, pp

Reference 16

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:10:42.471386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 20f4c998-c3ae-4f9c-9c50-4ead1ce6f454 · outbound

This paper cites In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), pp.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), pp

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:40.040657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40fbbbe8-fa82-4704-9cf7-246f8d33f1e9 · outbound

This paper cites Complex & Intelligent Systems 6(3), 545–557 (2020) https://doi.org/10.1007/s40747-020-00156-6 21.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Complex & Intelligent Systems 6(3), 545–557 (2020) https://doi.org/10.1007/s40747-020-00156-6 21

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T12:10:41.430273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 85e96d88-dea6-4d59-a2b1-967616435cbb · outbound

This paper cites Programmatically Interpretable Reinforcement Learning.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Programmatically Interpretable Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:40.237902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67fc2e38-4f89-4445-b024-c351571f54a5 · outbound

This paper cites In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), pp.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), pp

Reference 20

Resolution: verified exact; doi, observed 2026-08-07T12:10:41.260999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 501645e6-b117-4150-a505-99fa02033ae8 · outbound

This paper cites In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:40.408152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7807d629-4f38-4ba5-bbd5-1aeab4c02ed3 · outbound

This paper cites In: Proceedings of the Genetic and Evolutionary Computation Conference, pp.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies In: Proceedings of the Genetic and Evolutionary Computation Conference, pp

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:40.495025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6b6022-e23f-468a-b7b0-d00182ba67c9 · outbound

This paper cites BF++: a language for general-purpose program synthesis.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies BF++: a language for general-purpose program synthesis

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:10:42.036144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 30977525-e822-4e76-94a6-f096d42428b2 · outbound

This paper cites In: 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies In: 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-07T12:10:41.880138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e1a39574-dcae-4d36-ab31-ef1efc0fc565 · outbound

This paper cites Boundary Graph Neural Networks for 3D Simulations.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Boundary Graph Neural Networks for 3D Simulations

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:10:41.068311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.