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Paper Citation Record · LEDGER

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.21111.

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

pith.paper-citation-record.v1
2607.21111 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:29:09.695715Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation 1a44a8cc-32a9-4900-816d-0ec5053ef141 · outbound

This paper cites A survey on offline reinforcement learning: Taxonomy, review, and open problems.IEEE Transactions on Neural Networks and Learning Systems, 35(8):10237–10257, 2023.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning A survey on offline reinforcement learning: Taxonomy, review, and open problems.IEEE Transactions on Neural Networks and Learning Systems, 35(8):10237–10257, 2023

Reference 1

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Observation f7105ab4-6d35-40bd-935d-9800a59ea773 · outbound

This paper cites On the op- portunities and challenges of offline reinforcement learning for recommender systems.ACM Transactions on Information Systems, 42(6):1–26, 2024.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning On the op- portunities and challenges of offline reinforcement learning for recommender systems.ACM Transactions on Information Systems, 42(6):1–26, 2024

Reference 2

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Observation 65cfb667-aafe-4d2e-84bb-12e8afadbc04 · outbound

This paper cites Learning from good trajectories in offline multi-agent reinforcement learning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Learning from good trajectories in offline multi-agent reinforcement learning

Reference 3

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Observation acb56731-82b7-4c14-8ca3-f36d1ce1025f · outbound

This paper cites Offline reinforcement learning: Role of state aggregation and trajectory data.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Offline reinforcement learning: Role of state aggregation and trajectory data

Reference 4

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Observation 3d16d7f2-b168-4b22-a4a4-af7ddaffe58e · outbound

This paper cites A survey of privacy attacks in machine learning.ACM Computing Surveys, 56(4):1–34, 2023.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning A survey of privacy attacks in machine learning.ACM Computing Surveys, 56(4):1–34, 2023

Reference 5

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source=pdf_text observed=2026-08-01T08:29:04.885282Z digest=sha256:57ae8afc6fee5502b8141b2b4ed76edc1c98a786c26f9bed154e3140029d5388

Observation db7cb7d1-6205-41ee-be03-2f93b09515e7 · outbound

This paper cites The right to be forgotten in federated learning: An efficient realization with rapid retraining.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning The right to be forgotten in federated learning: An efficient realization with rapid retraining

Reference 6

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Observation dead6cee-a246-4eed-a9b6-802ae4f5a3ee · outbound

This paper cites A comprehensive survey of forgetting in deep learning beyond continual learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3):1464–1483, 2024.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning A comprehensive survey of forgetting in deep learning beyond continual learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3):1464–1483, 2024

Reference 7

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source=pdf_text observed=2026-08-01T08:29:05.229273Z digest=sha256:e469d446f7c8b5e526a09e44397491763162635236c4465f4f64ff3895f6d1ea

Observation 36860cc9-9797-4c4a-af66-5627df090cf4 · outbound

This paper cites Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot

Reference 8

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Observation 2fa855f5-8743-4a2e-aa8c-f94801113224 · outbound

This paper cites Hannun, and Laurens van der Maaten.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Hannun, and Laurens van der Maaten

Reference 9

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Observation 2346a3ad-109e-41d1-a678-cbf862a36e99 · outbound

This paper cites A survey of machine unlearning.ACM Transactions on Intelligent Systems and Technology, 16(5):1–46, 2025.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning A survey of machine unlearning.ACM Transactions on Intelligent Systems and Technology, 16(5):1–46, 2025

Reference 10

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Observation 11c84449-1b10-4baa-bc1d-c5df6ee95e3e · outbound

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

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 11

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Observation a1f86f4e-2aed-4f27-8207-208a9012c25d · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Decision transformer: Reinforcement learning via sequence modeling

Reference 12

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source=pdf_text observed=2026-08-01T08:29:06.029417Z digest=sha256:5130f34000f97718a6b8e450d5f72bf00bd3a02b3c2e3d8f430a392fff7f5785

Observation 77093852-a74c-4a2c-b60c-79d7b1e708db · outbound

This paper cites Constrained decision transformer for offline safe reinforcement learning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Constrained decision transformer for offline safe reinforcement learning

Reference 13

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source=pdf_text observed=2026-08-01T08:29:06.187628Z digest=sha256:7e77f1376a467819988c145b04ea054a1a5f17db2085a500084a349afd24e79f

Observation 1686a6cf-6bfe-4d3f-bfad-3a173a8ee1b7 · outbound

This paper cites Critic-guided decision transformer for offline reinforcement learning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Critic-guided decision transformer for offline reinforcement learning

Reference 14

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Observation 8a722dad-51dd-4bb0-8f45-4ac93e1c0e0b · outbound

This paper cites Offline reinforcement learning with implicit q-learning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Offline reinforcement learning with implicit q-learning

Reference 15

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source=pdf_text observed=2026-08-01T08:29:06.539668Z digest=sha256:30a270f927a2a04e89f17e7d6895465d4d47353ad4a9615764fc1b3527bb2515

Observation a86a5696-4422-4866-a819-1d3f57ff595a · outbound

This paper cites Trajdeleter: Enabling trajectory forgetting in offline reinforcement learning agents.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Trajdeleter: Enabling trajectory forgetting in offline reinforcement learning agents

Reference 16

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source=pdf_text observed=2026-08-01T08:29:06.749038Z digest=sha256:27c634c5a1d514d77572db6f0cbbb7fa0ffd7203f689146f0531ca9c869b5997

Observation b4013e32-fa2c-40cd-8b34-edbd56e86fdb · outbound

This paper cites Rethinking machine unlearning for large language models.Nature Machine Intelligence, 7(2):181–194, 2025.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Rethinking machine unlearning for large language models.Nature Machine Intelligence, 7(2):181–194, 2025

Reference 17

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Observation cc5c17f5-4615-4de8-9342-b7bc56272ba2 · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 18

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source=pdf_text observed=2026-08-01T08:29:07.194179Z digest=sha256:a6bff9f2d60ecbd57836c6777c98a3395d37078cb2d04183b1c2ff44c93e444a

Observation 30eb4762-0d4b-47bb-8a95-bbce0b086739 · outbound

This paper cites Erroreraser: Unlearning data bias for improved continual learning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Erroreraser: Unlearning data bias for improved continual learning

Reference 19

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Observation 0b51bbd2-9442-4291-9f92-eda9fae61b4a · outbound

This paper cites Unrolling SGD: understanding factors influencing machine unlearning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Unrolling SGD: understanding factors influencing machine unlearning

Reference 20

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Observation d4fb5aad-917d-48c8-be0d-3a5fccff83bc · outbound

This paper cites LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning

Reference 21

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Observation 6137b76d-e9c0-4c01-89bf-dcc532ac5edc · outbound

This paper cites Module-Aware Parameter-Efficient Machine Unlearning on Transformers.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Module-Aware Parameter-Efficient Machine Unlearning on Transformers

Reference 22

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Observation a50db434-4a4b-43bf-8850-8fa93e17bc09 · outbound

This paper cites Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization

Reference 23

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source=pdf_text observed=2026-08-01T08:29:08.003053Z digest=sha256:9317860b01bb3341f31f74fe7f123df0aec1c0e8dbe1e5c62852fa89a19ee982

Observation 6ad9c09b-b92c-4749-8ab4-3141dbb407c4 · outbound

This paper cites Membership inference attacks against machine learning models.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Membership inference attacks against machine learning models

Reference 24

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Observation 115d6750-0e39-49a0-bc86-4eddc536997c · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Privacy risk in machine learning: Analyzing the connection to overfitting

Reference 25

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Observation 6e0b66dc-f181-45b7-8817-76f6a1283daf · outbound

This paper cites ML-Leaks: Model and data independent membership inference attacks and defenses on machine learning models.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning ML-Leaks: Model and data independent membership inference attacks and defenses on machine learning models

Reference 26

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Observation a9c6e25b-eb94-442b-8d7a-e9c0b5d73331 · outbound

This paper cites Systematic evaluation of privacy risks of machine learning models.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Systematic evaluation of privacy risks of machine learning models

Reference 27

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Observation 8765880a-321b-47ad-b6ba-dc49e2d0b1be · outbound

This paper cites Membership inference attacks from first principles.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Membership inference attacks from first principles

Reference 28

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Observation d12712e1-4aa8-4a25-809e-03f6c7c66ef9 · outbound

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

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 29

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Observation 1aa0c523-ccd2-4916-a964-0f0d20e85a00 · outbound

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

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Conservative q-learning for offline reinforcement learning

Reference 30

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source=pdf_text observed=2026-08-01T08:29:09.158727Z digest=sha256:31a4302d1abe7923f3096871cb1e0732fae14068d3e068e4cd0d32c66f0714eb

Observation 6c46ab6e-8be3-437c-bf2e-9f2ab0687b7d · outbound

This paper cites Long short-term memory.Neural Computation, 9(8):1735–1780, 1997.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Long short-term memory.Neural Computation, 9(8):1735–1780, 1997

Reference 31

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source=pdf_text observed=2026-08-01T08:29:09.390857Z digest=sha256:6797f62e2e97a16e8cf535025f894bf9aca4445b63ba66001a738c08723bacc6

Observation b6c61593-098c-43df-a0c7-680b85b9d260 · outbound

This paper cites Reinforcement unlearning.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Reinforcement unlearning

Reference 32

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Observation 6bb09ed1-93a7-48b9-ae3e-b4c614eafb53 · outbound

This paper cites Language models are unsupervised multitask learners.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Language models are unsupervised multitask learners

Reference 33

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Observation 58be887b-86e8-4165-851f-3d9384da41fc · outbound

This paper cites Offline reinforcement learning as one big sequence modeling problem.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Offline reinforcement learning as one big sequence modeling problem

Reference 34

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