Paper Citation Record · LEDGER

Datasets and Benchmarks for Offline Safe Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2306.09303.

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

pith.paper-citation-record.v1
2306.09303 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:20:07.620593Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T00:07:28.404423Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 33bf6911-2cbc-4a33-befc-e5bf0747f0d2 · inbound

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning cites this paper.

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:37.634783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68046617-dae9-4b99-92c5-85eef071965c · inbound

Offline Safe Reinforcement Learning Using Trajectory Classification cites this paper.

Offline Safe Reinforcement Learning Using Trajectory Classification Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:06.691008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b4e8e4-3f9d-43d7-93f4-6ba9370317c8 · inbound

From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control cites this paper.

From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T13:03:17.975720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97092806-0863-493d-be61-7e200cb4bf3e · inbound

Skill Expansion and Composition in Parameter Space cites this paper.

Skill Expansion and Composition in Parameter Space Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T17:26:09.304205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a8ba416-5a3b-41c9-8587-6202ec5da25c · inbound

Skill-based Safe Reinforcement Learning with Risk Planning cites this paper.

Skill-based Safe Reinforcement Learning with Risk Planning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:20:07.620593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ce338c-309c-42ad-aca1-30454c431300 · inbound

PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning Projects cites this paper.

PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning Projects Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:01.250621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0751b9c-ed33-46ac-bf04-49112ec2ab7d · inbound

A Provable Approach for End-to-End Safe Reinforcement Learning cites this paper.

A Provable Approach for End-to-End Safe Reinforcement Learning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.525259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1057e0d8-bc57-497c-8d62-2ba660bb9523 · inbound

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning cites this paper.

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:36:09.839172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93f73896-d807-493a-820c-1f05ce9435a7 · inbound

Behavior-Consistent Deep Reinforcement Learning cites this paper.

Behavior-Consistent Deep Reinforcement Learning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:40.732442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d966ac6b-1eb3-4855-adb9-0b41eda9a314 · inbound

Behavior-Consistent Deep Reinforcement Learning cites this paper.

Behavior-Consistent Deep Reinforcement Learning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:06:21.827692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff058c93-975a-4621-9f80-3e6dfff1420c · inbound

Safe-RULE: Safe Reinforcement UnLEarning cites this paper.

Safe-RULE: Safe Reinforcement UnLEarning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:28.405955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 141933e7-b4dd-4989-87f1-cd399241c878 · inbound

OopsieVerse: A Safety Benchmark with Damage-Aware Simulation for Robot Manipulation cites this paper.

OopsieVerse: A Safety Benchmark with Damage-Aware Simulation for Robot Manipulation Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:45:43.023784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3c08cf8e-55d0-414e-b187-1e2135b5b822 · inbound

CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning cites this paper.

CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Datasets and Benchmarks for Offline Safe Reinforcement Learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-11T23:08:40.265657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.