Paper Citation Record · LEDGER

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2502.06491.

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

pith.paper-citation-record.v1
2502.06491 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:22:57.334192Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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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

41 of 41 outbound references displayed

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verified fuzzy33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 026cb979-7686-4b92-8880-2ee95fe78810 · outbound

This paper cites an unresolved cited work.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-08T15:22:57.743081Z

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Observation 55d23ecb-21c4-4d8d-989e-ef35a4696425 · outbound

This paper cites De- cision transformer: Reinforcement learning via sequence modeling.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling De- cision transformer: Reinforcement learning via sequence modeling

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.705723Z

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Observation 4269d9f1-b62e-46d1-bdca-f7fb7b3a5dd8 · outbound

This paper cites UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

Reference 7

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Observation 70be4e63-6abf-45d9-ab32-ecd9e84a69c1 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

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Observation 29e74946-14b7-4ce1-95f6-9cd394fd2d09 · outbound

This paper cites Bridging the data gap between training and inference for unsupervised neural machine translation.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Bridging the data gap between training and inference for unsupervised neural machine translation

Reference 11

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Observation 18f60e09-4984-470e-b489-ca6c1d27ce53 · outbound

This paper cites Offline reinforcement learning as one big se- quence modeling problem.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Offline reinforcement learning as one big se- quence modeling problem

Reference 14

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Observation 6280b86b-f4ff-4442-9386-8508074da6a1 · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 15

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Observation 7f3a3ed9-5e91-4949-9333-ac83f829dc08 · outbound

This paper cites Morel: Model-based offline reinforcement learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Morel: Model-based offline reinforcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.636829Z

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Observation 5c4afab4-e449-4a73-9b09-458d5cbbe853 · outbound

This paper cites Offline reinforcement learning with im- plicit q-learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Offline reinforcement learning with im- plicit q-learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.627969Z

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Observation 41586ed2-9973-4f06-a537-f562519308fd · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Conservative q-learning for offline reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.619426Z

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Observation 9a951ff5-7ddd-471d-a61b-333113962602 · outbound

This paper cites Multi-game decision transformers.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Multi-game decision transformers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.611076Z

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Observation 717ee278-1cab-4ba7-832c-ac210c4d99b9 · outbound

This paper cites Distribution- conditioned adversarial variational autoencoder for valid instrumental variable generation.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Distribution- conditioned adversarial variational autoencoder for valid instrumental variable generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.601910Z

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Observation 92cd01e8-920c-40c4-be8c-f1d1247e33d2 · outbound

This paper cites Diffstitch: Boosting of- fline reinforcement learning with diffusion-based trajec- tory stitching.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Diffstitch: Boosting of- fline reinforcement learning with diffusion-based trajec- tory stitching

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.592871Z

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Observation c7f7a13b-1aec-4776-9d28-dcef19612457 · outbound

This paper cites Ball, Yee Whye Teh, and Jack Parker-Holder.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Ball, Yee Whye Teh, and Jack Parker-Holder

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.583625Z

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Observation fe2073c9-2ccb-4673-8f77-654dfba6d71c · outbound

This paper cites Luis, Alessandro G.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Luis, Alessandro G

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.575212Z

Source-reported events for the cited work

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Observation 1950a005-210e-4aeb-96cf-7037685de849 · outbound

This paper cites Double check your state before trusting it: Confidence- aware bidirectional offline model-based imagination.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Double check your state before trusting it: Confidence- aware bidirectional offline model-based imagination

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.566186Z

Source-reported events for the cited work

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Observation 61e7ecd6-f73c-4b00-9986-25798328309e · outbound

This paper cites Reining generalization in offline re- inforcement learning via representation distinction.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Reining generalization in offline re- inforcement learning via representation distinction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.556304Z

Source-reported events for the cited work

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Observation 8c61a2e2-8a3a-498f-9eed-d19572ee22c4 · outbound

This paper cites Offline Imitation Learning with Model-based Reverse Augmentation.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Offline Imitation Learning with Model-based Reverse Augmentation

Reference 26

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Observation 01e72fb7-2537-4b69-8fa2-00159d6e4547 · outbound

This paper cites Model-bellman in- consistency for model-based offline reinforcement learn- ing.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Model-bellman in- consistency for model-based offline reinforcement learn- ing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.547316Z

Source-reported events for the cited work

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Observation c2d81fe2-a9c1-4f6d-8151-5914df624f47 · outbound

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Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Unresolved cited work

Reference 28

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Source-reported events for the cited work

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Observation 15d7fb2a-a021-40a5-b218-a061e4b2056b · outbound

This paper cites Self-correcting models for model-based reinforcement learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Self-correcting models for model-based reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.529437Z

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Observation b78e3e17-89ba-4638-b1eb-edf7f8c15c02 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11),.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Visualizing data using t-sne.Journal of machine learning research, 9(11),

Reference 31

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Observation 56d541da-ebea-4604-b467-bd85d01fe907 · outbound

This paper cites Offline reinforcement learning with reverse model-based imagination.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Offline reinforcement learning with reverse model-based imagination

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.495528Z

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Observation c4cb93a7-0fb8-41f1-81f3-58e809ab790d · outbound

This paper cites Q-learning decision transformer: Leveraging dynamic programming for conditional se- quence modelling in offline RL.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Q-learning decision transformer: Leveraging dynamic programming for conditional se- quence modelling in offline RL

Reference 34

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d188fd78-b098-42f4-8718-2de07b8da280 · outbound

This paper cites Pareto policy pool for model-based offline reinforcement learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Pareto policy pool for model-based offline reinforcement learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.475757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cde9e3bd-eef7-43ed-8821-d20a5a4b7949 · outbound

This paper cites Zou, Sergey Levine, Chelsea Finn, and Tengyu Ma.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Zou, Sergey Levine, Chelsea Finn, and Tengyu Ma

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.464744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a3006d4-6613-4f3f-91c4-5dfd042a72a8 · outbound

This paper cites Combo: Conservative offline model-based policy opti- mization.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Combo: Conservative offline model-based policy opti- mization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.453045Z

Source-reported events for the cited work

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Observation 4ec02951-1bfa-467f-8cb0-8740c0533f86 · outbound

This paper cites Model-based offline planning with trajectory prun- ing.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Model-based offline planning with trajectory prun- ing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.442149Z

Source-reported events for the cited work

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Observation c8406b5e-fd84-4b11-90de-47f9c3e0f528 · outbound

This paper cites Uncertainty-driven trajectory truncation for data augmen- tation in offline reinforcement learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Uncertainty-driven trajectory truncation for data augmen- tation in offline reinforcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.430685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1b29786-5bdb-4317-9ae6-90c9dca0a147 · outbound

This paper cites Conditional vari- ational autoencoder for sign language translation with cross-modal alignment.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Conditional vari- ational autoencoder for sign language translation with cross-modal alignment

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.419360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 13d9d2d0-9298-4b86-92c8-54bdfe8e946b · outbound

This paper cites Is model ensemble necessary? model- based RL via a single model with lipschitz regularized value function.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Is model ensemble necessary? model- based RL via a single model with lipschitz regularized value function

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.407879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 556ad3d2-8dce-4ba1-b319-0d167b3e30f2 · outbound

This paper cites Jamieson.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Jamieson

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.505853Z

Source-reported events for the cited work

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Observation a880dac2-8a39-4295-ad3c-93c285a6fd89 · outbound

This paper cites When to trust your model: Model-based policy optimization.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling When to trust your model: Model-based policy optimization

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.653888Z

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Observation fc4a1364-2801-4845-9c84-56e87ae577b8 · outbound

This paper cites Behavioral cloning from observation.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Behavioral cloning from observation

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.520050Z

Source-reported events for the cited work

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Observation 8c6bcd7a-3cab-481b-92bc-ee2992815790 · outbound

This paper cites Waypoint trans- former: Reinforcement learning via supervised learning with intermediate targets.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Waypoint trans- former: Reinforcement learning via supervised learning with intermediate targets

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.733466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 166a5bd9-fec1-4769-959d-2c9967232283 · outbound

This paper cites ACT: empowering decision transformer with dynamic program- ming via advantage conditioning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling ACT: empowering decision transformer with dynamic program- ming via advantage conditioning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.679007Z

Source-reported events for the cited work

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Observation 96854808-e76e-48ee-a68b-f5274a2c64e7 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Off-policy deep reinforcement learning without exploration

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.687089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 31eb5e0d-8161-47fc-a12a-57f08cbf02b9 · outbound

This paper cites Lapo: Latent-variable advantage-weighted policy optimization for offline rein- forcement learning.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Lapo: Latent-variable advantage-weighted policy optimization for offline rein- forcement learning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.695616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3934870-e60d-4ca6-bc41-691e8e65e092 · outbound

This paper cites an unresolved cited work.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-08T15:22:57.662108Z

Source-reported events for the cited work

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Observation 56ec4d35-2a57-4f8c-8796-f22eeffb4fc8 · outbound

This paper cites Data-efficient task generalization via probabilistic model-based meta reinforcement learn- ing.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Data-efficient task generalization via probabilistic model-based meta reinforcement learn- ing

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.724076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b3ba3be-fe11-49f6-9117-8c0278e0b5c8 · outbound

This paper cites Blanchet, Miao Lu, Tong Zhang, and Han Zhong.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Blanchet, Miao Lu, Tong Zhang, and Han Zhong

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:22:57.715280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.