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Paper Citation Record · LEDGER

Interpretable reinforcement learning with decision-tree pruning

As of 12 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.07151.

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

pith.paper-citation-record.v1
2608.07151 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:01.992302Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved10
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae2250e0-c1bc-454c-b625-f50e7ec3d02d · outbound

This paper cites an unresolved cited work.

Interpretable reinforcement learning with decision-tree pruning Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:01.880868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:01:01.880868Z digest=sha256:b34ab587f25911578298eb206406784bd51db71f647374f9f091cc6616c54eb4

Observation ad65b763-675a-4e1c-83b0-719eb9ead71b · outbound

This paper cites Publisher, place (year).

Interpretable reinforcement learning with decision-tree pruning Publisher, place (year)

Reference 2

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unresolved
no resolver link, observed 2026-08-10T14:01:01.885574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 90e1d4ce-d700-4e78-b950-f456b3989e20 · outbound

This paper cites and Barto, Andrew G.

Interpretable reinforcement learning with decision-tree pruning and Barto, Andrew G

Reference 3

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no resolver link, observed 2026-08-10T14:01:01.891601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a46aeb3f-03c5-4a1f-b776-81d02b7b0fc1 · outbound

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

Interpretable reinforcement learning with decision-tree pruning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 4

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no resolver link, observed 2026-08-10T14:01:01.895834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3d0f62c0-dd3b-4f17-b840-cbd3352eb22e · outbound

This paper cites 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems , pages =.

Interpretable reinforcement learning with decision-tree pruning 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems , pages =

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation da368005-7949-4eac-8a36-d43db2cd1a1d · outbound

This paper cites OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments.

Interpretable reinforcement learning with decision-tree pruning OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

Reference 6

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fcd9f0d4-4b1d-487c-bd79-5e9e23780880 · outbound

This paper cites an unresolved cited work.

Interpretable reinforcement learning with decision-tree pruning Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-10T14:01:02.314012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 239b09df-8e9b-4f0a-acf2-b4be8837a3eb · outbound

This paper cites Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =.

Interpretable reinforcement learning with decision-tree pruning Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2e027a52-71af-47f2-8245-90bcd11f6fc8 · outbound

This paper cites 7th European Workshop on Reinforcement Learning , year=.

Interpretable reinforcement learning with decision-tree pruning 7th European Workshop on Reinforcement Learning , year=

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 23078d26-c932-4ffa-8ccd-c9a023df03a8 · outbound

This paper cites 2025 , journal=.

Interpretable reinforcement learning with decision-tree pruning 2025 , journal=

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6c030285-380c-4fa3-bec5-24b0027a413a · outbound

This paper cites Mastering the game of Go without human knowledge , volume =.

Interpretable reinforcement learning with decision-tree pruning Mastering the game of Go without human knowledge , volume =

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 847755ce-0afa-4ea6-97de-57af0d5551a4 · outbound

This paper cites Grandmaster level in StarCraft II using multi-agent reinforcement learning , volume =.

Interpretable reinforcement learning with decision-tree pruning Grandmaster level in StarCraft II using multi-agent reinforcement learning , volume =

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6002f7ae-c728-4038-bc45-c21018db3cc5 · outbound

This paper cites Proceedings of The 33rd International Conference on Machine Learning , pages =.

Interpretable reinforcement learning with decision-tree pruning Proceedings of The 33rd International Conference on Machine Learning , pages =

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 41eccbca-e643-415c-b36d-47b6a37b4607 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Interpretable reinforcement learning with decision-tree pruning Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 461fe5a8-07fa-44cd-96c3-9accbc560bd5 · outbound

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Interpretable reinforcement learning with decision-tree pruning 2017 , journal=

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 15f8d10b-3e28-4015-b582-ebfad716eea4 · outbound

This paper cites 2017 , journal=.

Interpretable reinforcement learning with decision-tree pruning 2017 , journal=

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0d54a992-5e15-4617-bd18-5d1e237cf5a9 · outbound

This paper cites 2019 , journal=.

Interpretable reinforcement learning with decision-tree pruning 2019 , journal=

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T14:01:01.946814Z digest=sha256:f73b048108fe1315a6e719dca1ad3492f0c91fb3eb2c2498222f609e208b9f53

Observation ab88c0c4-3e0b-40dc-aa4c-fec830968ea8 · outbound

This paper cites 2019 , journal=.

Interpretable reinforcement learning with decision-tree pruning 2019 , journal=

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5381f65a-f6d0-4297-9d28-95de00ca8950 · outbound

This paper cites 2023 , booktitle =.

Interpretable reinforcement learning with decision-tree pruning 2023 , booktitle =

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 35ba8e4e-9f5f-4f68-ac53-b6a0f83538de · outbound

This paper cites , title =.

Interpretable reinforcement learning with decision-tree pruning , title =

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation aa674c73-d170-4060-930b-2d2e7bc4c992 · outbound

This paper cites and Varoquaux, G.

Interpretable reinforcement learning with decision-tree pruning and Varoquaux, G

Reference 21

Resolution
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no resolver link, observed 2026-08-10T14:01:01.963301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:01:01.963301Z digest=sha256:9f612aaf86c05a022fb905b06490ca98ab4ffca8c5a2c7fb753f691be534b3f0

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This paper cites and Lengenfelder, H.

Interpretable reinforcement learning with decision-tree pruning and Lengenfelder, H

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation da9d18e4-17b6-41b3-80ec-7bf1aa541b0a · outbound

This paper cites an unresolved cited work.

Interpretable reinforcement learning with decision-tree pruning Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T14:01:01.971233Z digest=sha256:b3822c02ace4f68c7262452ca05c55e72f05c5312b74f86b78207fbe57db18ce

Observation 58bc10b9-0a9b-452e-bc4c-b994737656b9 · outbound

This paper cites and Nilsson, Nils J.

Interpretable reinforcement learning with decision-tree pruning and Nilsson, Nils J

Reference 24

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unresolved
no resolver link, observed 2026-08-10T14:01:01.975029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 129ec653-3ddb-4b46-a437-38a057b1afb2 · outbound

This paper cites Journal of Machine Learning Research , year =.

Interpretable reinforcement learning with decision-tree pruning Journal of Machine Learning Research , year =

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:01.978984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a76aafe-1bad-4d3c-9b4c-3f4e1dd068c7 · outbound

This paper cites Classification and Regression Trees , volume =.

Interpretable reinforcement learning with decision-tree pruning Classification and Regression Trees , volume =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:02.081361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5d401d3e-346d-4fca-bcc4-4043091a24b9 · outbound

This paper cites Expert Systems—Rule Induction with Statistical Data , volume =.

Interpretable reinforcement learning with decision-tree pruning Expert Systems—Rule Induction with Statistical Data , volume =

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f6cec0ec-ef26-4354-a56c-6dc34b29af6f · outbound

This paper cites Decision tree methods: applications for classification and prediction , volume =.

Interpretable reinforcement learning with decision-tree pruning Decision tree methods: applications for classification and prediction , volume =

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.