Paper Citation Record · LEDGER

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.08925.

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

pith.paper-citation-record.v1
2607.08925 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:46:03.704125Z

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.

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

34 of 34 outbound references displayed

verified exact4
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3218436a-3f43-4a88-a9ef-215fee392dff · outbound

This paper cites Ames, Samuel Coogan, Magnus Egerstedt, Gennaro Notomista, Koushil Sreenath, and Paulo Tabuada.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Ames, Samuel Coogan, Magnus Egerstedt, Gennaro Notomista, Koushil Sreenath, and Paulo Tabuada

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 374f5067-d0b1-4270-8333-5a612d899c26 · outbound

This paper cites ISBN 9781605585161.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions ISBN 9781605585161

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

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Observation 1ef3ff0c-df5d-4e33-82bc-da561075d2e6 · outbound

This paper cites Safe Exploration in Continuous Action Spaces.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Safe Exploration in Continuous Action Spaces

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff456a5-5f81-491e-a958-8b54531a3919 · outbound

This paper cites Mohammadhosein Hasanbeig, Alessandro Abate, and Daniel Kroening.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Mohammadhosein Hasanbeig, Alessandro Abate, and Daniel Kroening

Reference 4

Resolution: verified exact; doi, observed 2026-07-13T05:49:23.740269Z

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 f32a5ce2-e4b7-44ed-9bd1-c20276b28357 · outbound

This paper cites Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, and Jo ao G.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, and Jo ao G

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c698ac-9b57-4aad-8d25-47142d5a8b12 · outbound

This paper cites Choi, Michael Janner, Claire J.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Choi, Michael Janner, Claire J

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561d899a-c361-4a7d-a6b1-30e1e74cffbe · outbound

This paper cites Ashish Kumar, Zipeng Fu, Deepak Pathak, and Jitendra Malik.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Ashish Kumar, Zipeng Fu, Deepak Pathak, and Jitendra Malik

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ea9a09-f858-46da-b009-5dc576c9b0d3 · outbound

This paper cites Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-13T05:49:23.735751Z

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 358108df-7596-4570-8fd8-9900570da405 · outbound

This paper cites Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dccd144d-696a-4a93-96b5-cab7972b1249 · outbound

This paper cites Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, and Sergey Levine.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, and Sergey Levine

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8ac172-9061-47f4-a0bf-f0aaad2a9e55 · outbound

This paper cites Xun Pua and Majid Khadiv.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Xun Pua and Majid Khadiv

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074112a7-aa09-4956-887b-1a17c04d10ff · outbound

This paper cites 2024.10769799.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions 2024.10769799

Reference 12

Resolution: verified exact; doi, observed 2026-07-13T05:49:23.732396Z

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 61f99978-a860-4a60-828d-9d1ff0eeb965 · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Learning to walk in minutes using massively parallel deep reinforcement learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f1f459e-8eb2-4ee1-a0ac-7e6defe77733 · outbound

This paper cites Trial without error: Towards safe reinforcement learning via human intervention.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Trial without error: Towards safe reinforcement learning via human intervention

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 258d8482-dc10-4668-9ef7-1a446d1fb73c · outbound

This paper cites Proximal Policy Optimization Algorithms.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Proximal Policy Optimization Algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71ae7c4e-07b1-4d91-9455-667a6c5dbe44 · outbound

This paper cites Smith, J.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Smith, J

Reference 16

Resolution: verified exact; doi, observed 2026-07-13T05:49:23.761511Z

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 47bd04e3-9676-486c-956f-e380a6bf15f0 · outbound

This paper cites Learning to be Safe: Deep RL with a Safety Critic.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Learning to be Safe: Deep RL with a Safety Critic

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fbf0afc-f137-487a-8e8e-33a50aeca87e · outbound

This paper cites Sim-to-real: Learning agile locomotion for quadruped robots.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Sim-to-real: Learning agile locomotion for quadruped robots

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91ff146-8d42-498a-bb9e-1893a6f293b2 · outbound

This paper cites Reward Constrained Policy Optimization.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Reward Constrained Policy Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56cdc0bd-9fc4-48a2-a58c-b8b6cc9060b6 · outbound

This paper cites Emanuel Todorov, Tom Erez, and Yuval Tassa.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Emanuel Todorov, Tom Erez, and Yuval Tassa

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06645f40-c119-4ad3-a0dd-57568a859669 · outbound

This paper cites Mark Towers, Jordan K.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Mark Towers, Jordan K

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc01a51-20ed-4a4c-bfd2-176bcd8158ed · outbound

This paper cites URLhttps://doi.org/10.24963/ijcai.2024/913.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions URLhttps://doi.org/10.24963/ijcai.2024/913

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6355c3b-f2b4-4c47-90bf-b0fef8aed300 · outbound

This paper cites Kevin Zakka, Yuval Tassa, and MuJoCo Menagerie Contributors.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Kevin Zakka, Yuval Tassa, and MuJoCo Menagerie Contributors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da7ee70-3e09-4f31-b7a0-41fbf86662a1 · outbound

This paper cites URLhttps://doi.org/10.24963/ijcai.2023/763.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions URLhttps://doi.org/10.24963/ijcai.2023/763

Reference 24

Resolution: verified exact; doi, observed 2026-07-13T05:49:23.749250Z

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 2fe6394f-3268-4bcf-9cc2-11947860fb17 · outbound

This paper cites Clipping bounds variance downstream of the singularity rather than removing it.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Clipping bounds variance downstream of the singularity rather than removing it

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d9b33d-1e35-4927-a0c1-db54f7ecacd9 · outbound

This paper cites an unresolved cited work.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7879240e-bc99-45df-b474-a43106d4cbba · outbound

This paper cites an unresolved cited work.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281778e4-fe75-4cbe-b09f-56f2c4bb271f · outbound

This paper cites an unresolved cited work.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9722ad14-7b7e-44dd-89cf-5a72673eead8 · outbound

This paper cites CPO and PPO-Lagrangian additionally carry the constraint hyperparameters their objective requires (Section C.3).

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions CPO and PPO-Lagrangian additionally carry the constraint hyperparameters their objective requires (Section C.3)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36000acf-9365-4be8-a4b0-19692dbfcb5d · outbound

This paper cites an unresolved cited work.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5209fcc6-7cba-41d5-8ac8-b87faf89dc3e · outbound

This paper cites an unresolved cited work.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea2c3ada-c1ea-42b8-a5d1-ffe5a9adc628 · outbound

This paper cites global”). An alternative “per-segment.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions global”). An alternative “per-segment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ce74f8-3002-4757-8960-f03e60a71d89 · outbound

This paper cites an unresolved cited work.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a347c806-4456-4019-bf06-729146d76549 · outbound

This paper cites an unresolved cited work.

SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T05:46:03.704125Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.