Paper Citation Record · LEDGER

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.25207.

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

pith.paper-citation-record.v1
2607.25207 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:13:36.890833Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

44 of 44 outbound references displayed

verified exact0
verified fuzzy0
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c78a36d6-96ec-45fc-8059-a3b0b3e7399c · outbound

This paper cites Prediction, Learning, and Games , publisher=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Prediction, Learning, and Games , publisher=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:31.191949Z

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Observation 6d880f47-0710-4d93-b187-9de3413a2b55 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Advances in Neural Information Processing Systems , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:31.295354Z

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Observation 3ce33d30-f33d-4996-87ea-56a33c0c0db0 · outbound

This paper cites nature , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics nature , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:31.440706Z

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Observation 85691db9-d25e-4550-8f00-40e4e11ee1dc · outbound

This paper cites nature , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics nature , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:31.585489Z

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Observation 60738b2c-093e-4eac-805d-6b9e8ca41564 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:31.761467Z

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Observation 604e4aac-a370-4e9e-af32-3292aa132386 · outbound

This paper cites International conference on machine learning , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International conference on machine learning , pages=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:31.931403Z

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Observation 215b63c6-c075-4f0e-9092-71429dcf8f71 · outbound

This paper cites 2023 , eprint=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics 2023 , eprint=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:32.101246Z

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Observation 00dfd0b6-c5fb-4e5e-8f73-43e442e2b744 · outbound

This paper cites The International Journal of Robotics Research , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics The International Journal of Robotics Research , volume=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:32.182117Z

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Observation b7a81dde-0d1f-425c-ab19-c7a514719e2f · outbound

This paper cites Manning and Stefano Ermon and Chelsea Finn , title =.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Manning and Stefano Ermon and Chelsea Finn , title =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:32.373208Z

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Observation fc077825-7e40-40ee-9c56-7a4ba0f25d0c · outbound

This paper cites Augmenting Online.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Augmenting Online

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:32.502792Z

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Observation 7ba10fe0-12a0-4802-b3e1-8f9a7fbd99fa · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International Conference on Artificial Intelligence and Statistics , pages=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:32.626199Z

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Observation 0e2a1078-3e9d-43af-ada4-def8af1bc4a2 · outbound

This paper cites Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence , pages =.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence , pages =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:32.783203Z

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Observation 75dead49-a8d9-4e47-9c80-f5b291fcae4b · outbound

This paper cites an unresolved cited work.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:32.901654Z

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Observation b5fb795b-c1fc-4212-b58e-37725b8bf53f · outbound

This paper cites Algorithmic Learning Theory , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Algorithmic Learning Theory , pages=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:33.026203Z

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Observation 4496a6cc-c94b-47b2-8e36-29052d48b866 · outbound

This paper cites Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:33.158389Z

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Observation 33737349-9bfc-46c0-868f-c50787b811dc · outbound

This paper cites Conference on robot learning , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Conference on robot learning , pages=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:33.287622Z

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Observation bd97b79a-56b3-4637-8afa-73ae21b81a3a · outbound

This paper cites an unresolved cited work.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:33.445351Z

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Observation aca1881c-4841-4d51-bf6f-21291ffbf698 · outbound

This paper cites Artificial intelligence and statistics , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Artificial intelligence and statistics , pages=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:33.563631Z

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Observation f1a8620a-4a37-4ca4-83ce-d0ade645e1f9 · outbound

This paper cites Proceedings of Thirty Third Conference on Learning Theory , pages =.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Proceedings of Thirty Third Conference on Learning Theory , pages =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:33.751076Z

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Observation 1d542c8d-4983-41d7-aa92-3cc9f512114f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Advances in Neural Information Processing Systems , volume=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:33.877102Z

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Observation fa576af6-ea60-4202-8d70-4009dbafe1a4 · outbound

This paper cites International conference on machine learning , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International conference on machine learning , pages=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:34.058131Z

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Observation ed61f22e-fa6a-4268-85d6-196f6e344572 · outbound

This paper cites International Conference on Machine Learning , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International Conference on Machine Learning , pages=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:34.196713Z

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Observation 1f65bf4f-6f46-4df8-9d9f-61d421c97ed7 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:34.298145Z

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Observation e8f869ba-333f-4ec9-97ba-c3bd4f98a1ce · outbound

This paper cites International conference on machine learning , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International conference on machine learning , pages=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:34.479905Z

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Observation 1842f728-44b8-4ce0-84d7-35435bcf2adc · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Advances in Neural Information Processing Systems , volume=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:34.657725Z

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Observation 741afd68-a657-4a93-a65d-f4d8d9ee7cee · outbound

This paper cites Malinga Perera and Renata Borovica.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Malinga Perera and Renata Borovica

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:34.783476Z

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Observation f88b56c8-e2fc-4c29-9674-c8fe12be1cb0 · outbound

This paper cites NeurIPS , year =.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics NeurIPS , year =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:34.907797Z

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Observation a2555f4c-e442-4f98-94ec-eac864a18d5c · outbound

This paper cites an unresolved cited work.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:35.029673Z

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Observation 6ebd94f5-58fa-4522-bdc9-01228819ed93 · outbound

This paper cites an unresolved cited work.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:35.225333Z

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Observation 3ae795ad-3718-4759-94ea-ce72fd92563d · outbound

This paper cites Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:35.351631Z

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Observation 7f0ba3b0-4ae4-4e63-88c0-01d598061b55 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Advances in Neural Information Processing Systems , volume=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:35.470377Z

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Observation b108f661-3440-4ba2-8caa-d2ec3739e4d0 · outbound

This paper cites International Conference on Machine Learning , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International Conference on Machine Learning , pages=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:35.616543Z

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Observation 8ffe8f8d-2597-41d2-be89-a2ec1f93606f · outbound

This paper cites SIAM journal on computing , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics SIAM journal on computing , volume=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:35.788647Z

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Observation 1ddb9295-f505-47ca-866f-3ec6d666c82f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Advances in Neural Information Processing Systems , volume=

Reference 34

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Observation d6461cf6-b7f2-41b1-95b8-4bda59e17d50 · outbound

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A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Uncertainty in Artificial Intelligence , pages=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.052455Z

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Observation 0f31d07f-2720-4c7d-b9df-2c444d1ed0f7 · outbound

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A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International Joint Conference on Artificial Intelligence , pages=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.160441Z

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Observation aa51b38e-b753-402f-b355-16ff40bdb953 · outbound

This paper cites International Conference on Machine Learning , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics International Conference on Machine Learning , pages=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.345299Z

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Observation f429e50f-8236-4170-9c83-734866155581 · outbound

This paper cites Conference on Learning Theory , pages=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Conference on Learning Theory , pages=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.432471Z

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Observation 99b861b6-f621-4587-badf-53666a441e73 · outbound

This paper cites IEEE Transactions on Emerging Topics in Computational Intelligence , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics IEEE Transactions on Emerging Topics in Computational Intelligence , volume=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.527641Z

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Observation 83c8f1c8-f181-43cd-968a-117a5259e881 · outbound

This paper cites Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.626887Z

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Observation 47f8df41-e872-46f7-b635-79d69a11b8a1 · outbound

This paper cites The Annals of Statistics , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics The Annals of Statistics , volume=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.698502Z

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Observation b619e6a8-cc1c-4925-bee4-a8ab21f0d437 · outbound

This paper cites Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning , url =.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning , url =

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.755046Z

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Observation 5a1350fc-caa7-4d5e-b076-033d41f81aff · outbound

This paper cites Minimax Regret Bounds for Reinforcement Learning , booktitle =.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Minimax Regret Bounds for Reinforcement Learning , booktitle =

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.827229Z

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Observation 0de41ea1-3067-423a-8f61-90eee55fc56a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics Advances in Neural Information Processing Systems , volume=

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T03:13:36.890833Z

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Pith citing papers

No inbound Pith citation observations are available.