Paper Citation Record · LEDGER

Safe Reinforcement Learning via Probabilistic Shields

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.06096.

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

pith.paper-citation-record.v1
1807.06096 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:23:50.468620Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:57:25.898616Z

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 8d4f9a6f-2ed7-4e04-b29a-00e7d28abeee · inbound

Efficient Dynamic Shielding for Parametric Safety Specifications cites this paper.

Efficient Dynamic Shielding for Parametric Safety Specifications Safe Reinforcement Learning via Probabilistic Shields

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:50.468620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7657fcd5-7f59-409f-852e-b92157779f95 · inbound

Conformal Safety Shielding for Imperfect-Perception Agents cites this paper.

Conformal Safety Shielding for Imperfect-Perception Agents Safe Reinforcement Learning via Probabilistic Shields

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:36.788398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56dcd510-2b8c-48c6-a0f8-b82a6dfca552 · inbound

What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End Pipeline cites this paper.

What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End Pipeline Safe Reinforcement Learning via Probabilistic Shields

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:05:26.323581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c4814fe-15a9-49ac-9cac-834ab135343e · inbound

Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies cites this paper.

Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies Safe Reinforcement Learning via Probabilistic Shields

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:57:25.900276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8bde590d-0565-4250-bd3c-16d612285405 · inbound

Certified Speculative Execution for Untrusted AI Agents cites this paper.

Certified Speculative Execution for Untrusted AI Agents Safe Reinforcement Learning via Probabilistic Shields

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:05:40.483737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.