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Paper Citation Record · LEDGER

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.09304.

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

pith.paper-citation-record.v1
2305.09304 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:46:47.756731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:36.728990Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 cb1ef198-49d5-49f5-b475-be205d3957ff · inbound

A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks cites this paper.

A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:47.756731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:46:47.756731Z digest=sha256:e073660dd2c072f70230115ecc22def92bee8237774cb41062e2a8df95a4443f

Observation b1796f7d-c120-452b-b1a1-62d0045df476 · inbound

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation cites this paper.

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T15:20:56.353163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:20:56.353163Z digest=sha256:c5ec331db4c84e3062b1f0b939800526036363e9f09b922d042c9deb6cfae495

Observation 9ee70c93-8be7-428c-8750-68b977ed3737 · inbound

Offline Safe Reinforcement Learning Using Trajectory Classification cites this paper.

Offline Safe Reinforcement Learning Using Trajectory Classification OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T11:30:06.685475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:30:06.685475Z digest=sha256:c07181742134b499f8adf04af7acd0fbff3a15a53019ce8a236f354fe99b3e59

Observation 2774e6c0-5113-4270-bdff-308e8ed3925f · inbound

Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models cites this paper.

Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:17:36.730419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T14:05:48.011688Z digest=sha256:458de60ee466bf7db5693d3c37693466d64e6b391a6fe7cf75f7be6931d71ace