Paper Citation Record · LEDGER

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2510.19244.

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

pith.paper-citation-record.v1
2510.19244 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:46:26.728164Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

39 of 39 outbound references displayed

verified exact0
verified fuzzy0
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b3257b1-52fc-49a4-ae6b-788b2213cc33 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.624960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362f6e4c-6384-4201-aeea-b546682cea6f · outbound

This paper cites write newline.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.628199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd2512e0-79df-4cba-bd8e-2b5c9981cc77 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.631545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b7391a-ce56-44d2-971f-3435bb785123 · outbound

This paper cites Surrogate Fitness Metrics for Interpretable Reinforcement Learning.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Surrogate Fitness Metrics for Interpretable Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.634515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f43c197e-732c-484c-ac87-8c34257d5eee · outbound

This paper cites M.; and S im s ek, \"O.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments M.; and S im s ek, \"O

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.640695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fafc73c-94ae-4d1c-83ea-ff5f1f9de63f · outbound

This paper cites A Theoretical Framework for Explaining Reinforcement Learning with Shapley Values.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments A Theoretical Framework for Explaining Reinforcement Learning with Shapley Values

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.643481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 466d44f1-46bb-459b-b397-dd11c561836f · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.646234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4215f0bb-b83a-415c-b9d3-b3c9b386ecce · outbound

This paper cites Vision-Language Models Provide Promptable Representations for Reinforcement Learning.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Vision-Language Models Provide Promptable Representations for Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.649019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0712794e-c8e0-494b-bdb3-83cfa4fc9922 · outbound

This paper cites A Survey on Explainable Deep Reinforcement Learning.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments A Survey on Explainable Deep Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.651930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d77278bd-decf-4c06-aec8-1b42732f1e48 · outbound

This paper cites G.; P \'e rez-Aracil, J.; Salcedo-Sanz, S.; and Pedreira, C.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments G.; P \'e rez-Aracil, J.; Salcedo-Sanz, S.; and Pedreira, C

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.654700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 000a4127-7276-43f3-a03a-079f4c9ae5dc · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.657274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532d6a33-4a7a-46a5-a2c2-9d631e8354be · outbound

This paper cites Counterfactual Explanations for Continuous Action Reinforcement Learning.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Counterfactual Explanations for Continuous Action Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.659681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9024be-4180-4384-af60-c34f0e2c26fc · outbound

This paper cites A Survey of State Representation Learning for Deep Reinforcement Learning.

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.662381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28070c0e-c9f8-453e-9822-c86f5b06c55d · outbound

This paper cites Shapley explainability on the data manifold.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Shapley explainability on the data manifold

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.665058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3286d2-e69f-4c69-8e80-bac2839c1aa8 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.667646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63cc7d27-472a-4830-b41f-27794148edbf · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.670141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470c8c2d-c8a7-42bf-af7b-a1837c438abd · outbound

This paper cites S.; Claessens, B.; and Develder, C.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments S.; Claessens, B.; and Develder, C

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.672537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dfff01c-962b-46a7-8e57-0fdcc2ce48f3 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.674980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812d1326-7e05-455f-aaa1-76ed775978b8 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.677654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51a5d485-54ad-43a5-9c59-528b3d08c80d · outbound

This paper cites W.; and Liang, P.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments W.; and Liang, P

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.680065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79dd1d11-5e3c-4c8f-992c-b5e6808738fd · outbound

This paper cites Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.682385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464d1cbb-98f9-4ce7-a4be-20f7b31a4141 · outbound

This paper cites From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.685458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76ee77d2-9276-4483-89a8-51502b16a82a · outbound

This paper cites M.; and Lee, S.-I.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments M.; and Lee, S.-I

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.688170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4efc6863-1804-45e9-a780-4bcf80df4ce8 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.690881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2c587ab-27ea-4bae-a820-883fa1d9302a · outbound

This paper cites Y.; Hasan, M.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Y.; Hasan, M

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.693279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee34eeb7-c300-4226-a1d8-ee845a2627a2 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.695896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e7af5e-9361-4e2d-a518-40299d9ac1ab · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.699117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535a25e9-8e80-48db-9141-25e5b5be310a · outbound

This paper cites D., Anurag Koul; and Fern, A.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments D., Anurag Koul; and Fern, A

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.701462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1bf4d76-6509-42d2-9c2e-88f700a68b26 · outbound

This paper cites Grounded Reinforcement Learning for Visual Reasoning.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Grounded Reinforcement Learning for Visual Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.703872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb213e2-2375-481a-b662-a149210a1c45 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.706419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e812e5d7-e431-4261-bd8a-6e87f424f756 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.708876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3545e650-20c3-4b2e-8b38-1b06b2742a93 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.711206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ca16ca-b53f-4013-b912-5ea9d495c896 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.713628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a8cb9c-3c03-46a6-9272-10d1995a6e90 · outbound

This paper cites S.; and Barto, A.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments S.; and Barto, A

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.716001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6ea3a5-230e-47a8-96af-764fc33aecd0 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.718870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fada0d9f-ef3e-4cb8-9cf1-557163108409 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.721210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840cd4f7-9d69-4749-a699-ec745fc912f1 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.723467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 445f7345-a679-4281-874e-67fd700147d0 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.725644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa332c7a-21c0-4fae-a253-36a0563f48e2 · outbound

This paper cites an unresolved cited work.

Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:26.728164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.