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Paper Citation Record · LEDGER

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies

As of 18 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2607.07235.

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

pith.paper-citation-record.v1
2607.07235 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T16:53:06.017613Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

78 of 78 outbound references displayed

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  • verified fuzzy56
  • unresolved18
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d13b15b2-a0a1-465b-a90d-65867880b9f7 · outbound

This paper cites Python package for fitting quinlan’s cubist v2.07 regression model, 2021.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Python package for fitting quinlan’s cubist v2.07 regression model, 2021

Reference 1

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Observation c644c8f6-02f5-4014-a759-8bcfb25c3d3d · outbound

This paper cites Verifiable reinforcement learning via policy extraction.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Verifiable reinforcement learning via policy extraction

Reference 2

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Observation 47cb0b25-5d92-4780-b0bf-e8725e7ec847 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 3

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Observation 685465ab-640a-47f8-84db-10939e2da171 · outbound

This paper cites Human-friendly explanations checklist for reinforcement learning: XRL H-F-E checklist.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Human-friendly explanations checklist for reinforcement learning: XRL H-F-E checklist

Reference 4

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Observation 213c33aa-b82d-4074-b332-35cade58528f · outbound

This paper cites Distilling deep reinforce- ment learning policies in soft decision trees.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Distilling deep reinforce- ment learning policies in soft decision trees

Reference 5

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Observation e93305bb-d254-433b-a4ea-c2404ac14e71 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 6

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Observation bf191f6a-d96e-4e7a-a605-ffa4268f31d1 · outbound

This paper cites Danesh, Anurag Koul, Alan Fern, and Saeed Khorram.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Danesh, Anurag Koul, Alan Fern, and Saeed Khorram

Reference 7

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Observation 2dc6b056-16d4-4c06-9c1a-a99b471b753d · outbound

This paper cites Nat., 602(7897):414–419, 2022.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Nat., 602(7897):414–419, 2022

Reference 8

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Observation 7746d357-3d9f-4f4f-9ea6-fb9d67cc2265 · outbound

This paper cites Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, and Dimitar P.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, and Dimitar P

Reference 9

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Observation 74501045-2520-41ee-acdf-acb870ba33a7 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 10

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Observation c0de06a7-4dd9-419c-b583-56ed1d87367f · outbound

This paper cites Regulation (eu) 2024/1689 of the European parliament and of the council – the EU artificial intelligence act.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Regulation (eu) 2024/1689 of the European parliament and of the council – the EU artificial intelligence act

Reference 11

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Observation cfa56d4e-ab65-4866-a2f9-9b5912dbab40 · outbound

This paper cites Friedman and Bogdan E.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Friedman and Bogdan E

Reference 12

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Observation 93851ed9-3e39-4bd9-bb09-36835039d819 · outbound

This paper cites A brief overview of rule learning.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies A brief overview of rule learning

Reference 13

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Observation d67330f3-9a35-45fe-905f-592c27bcc33d · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 14

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Observation 3f5f482a-1e6c-476d-bf59-4a377e12fe44 · outbound

This paper cites A Survey on LLM-as-a-Judge.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies A Survey on LLM-as-a-Judge

Reference 15

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Observation d7d4ee45-1bd8-4dde-bf82-9ebf448f27d6 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 16

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Observation f99e9ce1-69f6-413a-9d06-8a686d43081f · outbound

This paper cites Learning finite state representations of recurrent policy networks.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Learning finite state representations of recurrent policy networks

Reference 17

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Observation 769f059c-c660-4cc2-9b26-791feef37131 · outbound

This paper cites Explainable classification by learning human-readable sentences in feature subsets.Information Sciences, 564:202–219, 2021.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Explainable classification by learning human-readable sentences in feature subsets.Information Sciences, 564:202–219, 2021

Reference 18

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Observation 1206e76b-5c05-4169-bff6-f8148d56437a · outbound

This paper cites Lillicrapet al.Continuous control with deep reinforcement learning.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Lillicrapet al.Continuous control with deep reinforcement learning

Reference 19

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Observation 653a5e48-9ee6-451b-b680-dfe9f34bfb6a · outbound

This paper cites Alqahtani, and Dongwon Lee.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Alqahtani, and Dongwon Lee

Reference 20

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Observation 422663d0-ccbb-4452-8c2e-a7fd69dd1d6a · outbound

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ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 21

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Observation 1ab5adf6-a080-4d14-a526-e327dbbbd2d6 · outbound

This paper cites Explainable reinforcement learning: A survey and comparative review.ACM Comput.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Explainable reinforcement learning: A survey and comparative review.ACM Comput

Reference 22

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Observation 5d88f84d-040b-4768-ac90-970c7d0134c6 · outbound

This paper cites Kamhoua, Evangelos E.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Kamhoua, Evangelos E

Reference 23

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Observation d0fdb178-45c9-4a57-9a30-de84758c925d · outbound

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ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 24

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Observation 6d488690-24bd-4629-8e35-487316bad41c · outbound

This paper cites 3 edition, 2025.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3 edition, 2025

Reference 25

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Observation fbe6d7b3-5e1f-4339-9612-a3be336ea5f1 · outbound

This paper cites Efficient memory-based learning for robot control.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Efficient memory-based learning for robot control

Reference 26

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Observation fc266ee8-879e-4638-8826-8ec2aeaf73b0 · outbound

This paper cites Murthy, Simon Kasif, and Steven Salzberg.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Murthy, Simon Kasif, and Steven Salzberg

Reference 27

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cb5b3011-e81c-4668-837f-23de375eabef · outbound

This paper cites Interpretable approximation of a deep reinforcement learning agent as a set of if-then rules.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Interpretable approximation of a deep reinforcement learning agent as a set of if-then rules

Reference 28

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6d67ead8-cbdd-41cd-ac66-e00ce4abcbc9 · outbound

This paper cites Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, and Matthew C.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, and Matthew C

Reference 29

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9f6a714a-8a3c-49b5-acf2-577cf2499034 · outbound

This paper cites Pedregosa, G.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Pedregosa, G

Reference 30

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9c639cd4-da2d-41e6-9cc6-2d8a6db4812f · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 504888b7-0506-4e27-9881-620a2cab9a4d · outbound

This paper cites Ross Quinlan.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Ross Quinlan

Reference 32

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5cda610f-ba57-4118-97dd-25822006bb91 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.Journal of Machine Learning Research, 22(268):1–8, 2021.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Stable-baselines3: Reliable reinforcement learning implementations.Journal of Machine Learning Research, 22(268):1–8, 2021

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d1b7f56c-5b2e-40bd-9152-2b025e867298 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies A reduction of imitation learning and structured prediction to no-regret online learning

Reference 34

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raw_fallback, observed 2026-07-09T16:56:22.056142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:59759094ebef28b58b0c724e9be2affa6a1b7a1b97bc35a8eeda840177dc5f9a

Observation 657474ab-3c12-493e-8ec5-46fc67590adf · outbound

This paper cites Multiple comparisons of treatment against control under unequal variances using parametric bootstrap.J.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Multiple comparisons of treatment against control under unequal variances using parametric bootstrap.J

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:21.978131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:6660da3c23371952e9de035d1cf5a51a73a3402c3d188616fbbe32cfdb708127

Observation 67da4504-f114-4d75-a4b3-6a52adbea991 · outbound

This paper cites Safety verification of decision-tree policies in continuous time.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Safety verification of decision-tree policies in continuous time

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:21.980371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:6682953f844cf08a738305ab9f6a95c16b1557d505f0948ba15013a38637ca1d

Observation abf16751-2c03-4149-9aad-b297dde4a5f1 · outbound

This paper cites Neurolinear: From neural networks to oblique decision rules.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Neurolinear: From neural networks to oblique decision rules

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:21.970683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:865a80cff4c1f1d75857209d6e2a673e554e8ca21f6bb5e7d15e6e34f943d8d0

Observation 8437b6d3-d31c-4f56-a624-5de0a498a6ef · outbound

This paper cites Gombolay, Taylor W.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Gombolay, Taylor W

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.045822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:c064be4dce6f6aae3427f5ebc191c2369a1a3594692426f6e234062420ae7790

Observation a4949673-3fad-4d6d-a15a-1150e7490ad2 · outbound

This paper cites Ried- miller.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Ried- miller

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.040900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:102d85b328e442c603292e5ebcb43f80c33f396b56fee19e644a61370fe436af

Observation e0048019-6512-4c09-a4f1-089dc430a567 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:21.968729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:45da3ceab27295f45c0514410ad067740554695fe4f2ecc491a8c17fe74c10cd

Observation cc790010-7856-4531-bad3-284be3ce8126 · outbound

This paper cites TLdR: Policy summa- rization for factored SSP problems using temporal abstractions.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies TLdR: Policy summa- rization for factored SSP problems using temporal abstractions

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.089865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:0562c181e63b3e1ab62591a7c6d5bd7ed05274114a065ce14dccb1d130edaf8f

Observation e34875ba-c9e8-4968-ab0d-1d5dc811298c · outbound

This paper cites Sutton and Andrew G.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Sutton and Andrew G

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:21.993176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:fa160d784f73207ca38eab82f217f3edc742d380bf62220325c72021a58c9599

Observation 0e389471-d6f8-4aea-a3cb-8f7cefb001cc · outbound

This paper cites Lopez-Miguel, Sebastian Tschiatschek, and Ezio Bartocci.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Lopez-Miguel, Sebastian Tschiatschek, and Ezio Bartocci

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:21.999448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:98ab032d34b64b87be568d79381c8225b01ed7a8970789407168ecae9f8c8048

Observation b2feae48-b140-4c81-9a4a-c78ee8a53fff · outbound

This paper cites Thorndike.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Thorndike

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.082832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:c0df60c8f711362eb815a9cb74e70594b60b4a4d96e5ac1d39181baca9fa047c

Observation d98dba57-a15d-49a8-8e9f-1708c110b5cd · outbound

This paper cites Generation of policy-level explanations for reinforcement learning.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Generation of policy-level explanations for reinforcement learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.079475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:94189a95cdad4149f9e671abbc1dea03b11f0bd63ad63befbee5eb810b8b6064

Observation 6c9c76c7-1fe5-4fdf-b0b9-3e424e276304 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-09T16:56:21.670208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:55dbc87b7de49ac3f3c6b792baacdf127d3b4ca32c56471cb0d24d816d79b872

Observation a4705d3e-e105-4f68-9e88-d2764c5588fd · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T16:56:21.666207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:87605c0228ef930681e4f63860381a7aa166750ec74241dfff164975534326d3

Observation cba36f43-343a-45ae-bd76-acf8d6a454bd · outbound

This paper cites Executive Office of the President.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Executive Office of the President

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.100554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:8f0b7a7953007966ca58deccb95f5e6802ca136952cfc18bac8d4d07cfb770fb

Observation 948337c1-0488-4ae7-8b7a-4bc249936672 · outbound

This paper cites Self-interpretable reinforcement learning via rule ensembles.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Self-interpretable reinforcement learning via rule ensembles

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.093513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:509bd7c3b0810499c612b074fe36fdc7a603564cec87918e4accd909e294c585

Observation 0e460d45-83ff-4207-8ca3-c8e768b14fce · outbound

This paper cites The actions from this model are compared to the ones that the original RL agent would have taken in those states.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies The actions from this model are compared to the ones that the original RL agent would have taken in those states

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.026645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:38d1305983e0754b7034df92d9a84d5eab512c0fba5a89c378ab583f334e6695

Observation 7bd66b88-918d-437b-9f67-bf654aab4fe3 · outbound

This paper cites This refinement step is repeated until performance degrades or no more useful data can be collected.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies This refinement step is repeated until performance degrades or no more useful data can be collected

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.075805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:85f7c0e8fb49c0783bb8f49061178fb2c8358f5e0621fa6eccec6f54fa0e000b

Observation 1af34b8b-c51e-4424-b9b9-2b0b75536c6f · outbound

This paper cites This places the focus on the states where the RL policy and the learned model differ the most.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies This places the focus on the states where the RL policy and the learned model differ the most

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.086454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:0f4dca9fdfd8e75de77c75a0c54e03cef0c982dba8d7e9e544fd2475f4a3b13b

Observation 127fe472-e26f-493a-8e61-f66560c1c166 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.070614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:33e5be149e5cf874ea3252658aed31cf2ae91eac0526481b1762d3a2ec43b0e1

Observation ed889c6d-2ae5-438f-a0fc-b8dabb7bdc3a · outbound

This paper cites comb-as & random-rs-nm.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies comb-as & random-rs-nm

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.073943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:a52c3a21f27a7aa69cf10a27b731c2ed4ee4afd950d4e4fb08dcb30ced5f24b0

Observation 35a6da98-cee6-4468-805b-46332dbc47cb · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.063283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:7a81f1c803a903e6d7668a3c70d419d3730959a7d79c6ba4b6e9066770ab5e73

Observation e010f38e-c86f-4eba-a7b4-83e73276cafd · outbound

This paper cites The following section shows how to understand the results with an example.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies The following section shows how to understand the results with an example

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.097387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:cce993bc5c4b98a34eafa8d5244835ad377c23e703300c0603b3f7de861b8fa2

Observation a7357b0c-4a9f-4d8a-a416-73bac1155633 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.059838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:268582124e0245db6c0df9ef01bf2ace673404b0de3d9907500aa221e4ce55e8

Observation b721386b-6df8-446a-bde8-14d76c6c1f66 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.074084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:a9ddcb413a970a3cbb2521af3c244351e0556907b1006e7d7db94a1ddb38dd48

Observation b85219db-6e94-4f80-b593-ba8c39e1b37e · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.078662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:7fde2c62d8967ed84759416e81c18b1209937520ca09cab2f0fe15e9e474372e

Observation 85c4759a-fb28-474a-a388-4678b482837f · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.072292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:3c62eaf2e7fd8d1fb75d91912b82c3f226068a035aff377c258306666e8b9f08

Observation fb216f47-85d1-4a0b-8455-d946f9af4081 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.080829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:30221833e4705e41e18b3fa3f08095fdcc8fdaad7cfdaa5c036894061965bef5

Observation 18e1c178-c83a-4d71-b66a-c9c5267b017d · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.084403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:c8d21ae11b162d50d81372648b3a4abdeeaa7f82dc3c26d885669cca676e69b7

Observation d365ca1f-06a0-478c-bbde-46b5dc80b8ea · outbound

This paper cites What is the policy at the edge of this region?.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies What is the policy at the edge of this region?

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.086763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:033993b16f9f33a779a66f7cb7cb39e0dd410b6100c7c7182ef58b16bb2f7a2a

Observation b876cb71-3b20-45e0-92fa-d4e5b26c700b · outbound

This paper cites 3: Slight perturbations cause noticeable changes in the explanation or in the operating modes it captures, while preserving core decision logic.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Slight perturbations cause noticeable changes in the explanation or in the operating modes it captures, while preserving core decision logic

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.052216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:db6fcd5654fc340d58ef1b63d68e9a7b56377d0db98ad3b1c380f0ae981a0aa6

Observation bed4a64f-a5d4-4437-a1f7-107e8917e971 · outbound

This paper cites 3: The explanation reveals sources of bias, but fails to capture causes, e.g., resulting from the 21 environment.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation reveals sources of bias, but fails to capture causes, e.g., resulting from the 21 environment

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.043363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:e84eb29c662e9bc9f35297e9bdc49115ca8f01d534cb86992f55d1cba7afc91b

Observation 375f1842-8ac9-4583-bca2-6a2cd8f5dc41 · outbound

This paper cites 3: The explanation supports reasoning about either policies with deviating behavior or slight environment variations, but not both.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation supports reasoning about either policies with deviating behavior or slight environment variations, but not both

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.091722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:77ef074baa38b92dd291af7c232e989560587647f2b8e506299516927a3af7dc

Observation 6e306947-83ad-40ba-b2a6-2852e104f473 · outbound

This paper cites an unresolved cited work.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-07-09T16:56:22.029711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:0dec58f9f7631c6afd94c3f8e15ccb2683d6ecedde453b9c05d4321a76f9f532

Observation e64e9a70-a9b6-4bec-aee0-f2ceb0ab848c · outbound

This paper cites 3: Some factors leading to a decision are omitted and verification and validation requires substantial engineering.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Some factors leading to a decision are omitted and verification and validation requires substantial engineering

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.038898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:841c0f71d13e896adf4399ff6b667f9110f1ab05f027d1af07cc8d47c840aedc

Observation 955f42ba-9f85-4bb2-b3b3-81559205f441 · outbound

This paper cites 3: The explanation contains relevant details, but also details that are not necessary.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation contains relevant details, but also details that are not necessary

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.036509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:66633a7cde705ed1d8c615a096496b07e50fccb02ab83d7c0e09096328beb8bd

Observation 72d855b9-a287-411e-92ab-aa9c4b99fe54 · outbound

This paper cites 3: The explanation provides some insight, but modifications require familiarity with the control policy.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation provides some insight, but modifications require familiarity with the control policy

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.082706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:52c78f911116bbcf814fd61a3c4dbf5a124081df8164c9453919f1a44da34da2

Observation f3d43360-672a-49e0-83e8-6f520afbfbca · outbound

This paper cites 3: Some partitions reflect expected operating modes, while some are arbitrary.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Some partitions reflect expected operating modes, while some are arbitrary

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.007732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:cac0b1525feda1ad96b82665a025778db9de124add9e9b347f3bd2bfb6af8055

Observation a914d9ac-5b10-470c-be13-6ab3ad290f8a · outbound

This paper cites 3: Some regions have partial semantic meaning, but others are small, fragmented, or unrelated to the environment’s dynamics.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Some regions have partial semantic meaning, but others are small, fragmented, or unrelated to the environment’s dynamics

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.009859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:c0532f64faa8a3e46985324a7d262f85f3639ee50e8ca7135846dec2f6a10d2d

Observation aeb792bc-872a-42fa-84ba-ae2523590321 · outbound

This paper cites 3: Users need to consider various regions and alternative decisions to trace failures, and failure causes cannot be unambiguously deduced.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Users need to consider various regions and alternative decisions to trace failures, and failure causes cannot be unambiguously deduced

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:21.961642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:2c742b9192f70391f31163f2407e4b4b22cbec9ba66edf1c64279ae79dbbdef1

Observation d79d700e-942f-4407-a557-4f6927388a67 · outbound

This paper cites 3: Users knowing the environment understand the aspects of system dynamics that prompted the definition of several regions, while others do not correspond to system dynamics.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Users knowing the environment understand the aspects of system dynamics that prompted the definition of several regions, while others do not correspond to system dynamics

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.088259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:0bb6c7d320d0226ddccd4a81dec9c2c8799ae38ab54426351b591604ae70965a

Observation 64aa95c2-2d6a-4eb5-a167-07bb6fdb2de1 · outbound

This paper cites They balance granularity and interpretability while maintaining clear semantic links to the envi- ronment’s dynamics.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies They balance granularity and interpretability while maintaining clear semantic links to the envi- ronment’s dynamics

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.047836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:b3710e691dd293fcad769793244b3caacaec51904e216aaac5b2470925e93690

Observation 3f39e2a3-e693-40fa-ad9d-82afdd8a6bce · outbound

This paper cites Regions capture essential dynamics without redundancy, balancing simplicity and completeness.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Regions capture essential dynamics without redundancy, balancing simplicity and completeness

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.067481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:101d91d80262470c1ca669b4e1fd57ae97393ea4ac675adef0890ec36dc79689

Observation c85dc003-bf56-484f-85b0-b699c21aeccb · outbound

This paper cites Parameters are interpretable and contribute to clear, concise explanations.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Parameters are interpretable and contribute to clear, concise explanations

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T16:56:22.095605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:ea85d7000cb19c2306b317ce9ce9aaf15623725670fda65270755040ba85adea

Observation 0d9c212c-2f87-4c7e-939c-557bd899d03a · outbound

This paper cites rel. improvement.

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies rel. improvement

Reference 78

Resolution
malformed identifier
raw_fallback, observed 2026-07-09T16:56:21.985115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T16:53:06.017613Z digest=sha256:d56cd665e3b8d38e6ae651019773e0f253f506f01b8d582c1855293a1ab1c09e

Pith citing papers

No inbound Pith citation observations are available.