Paper Citation Record · LEDGER

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization

As of 11 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2607.16206.

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

pith.paper-citation-record.v1
2607.16206 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:39:41.941604Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

9 of 9 outbound references displayed

verified exact0
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e5d2703-1aa4-4b6c-bef6-852ff8dd2f3b · outbound

This paper cites Proximal Policy Optimization Algorithms.

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization Proximal Policy Optimization Algorithms

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.315946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78db689e-a9b8-4d48-8a96-3b0e42ec475e · outbound

This paper cites Advances in Neural Information Processing Systems, 36 (2023) PPO-HSC: Exploratory RL via Policy Coverage Optimization 13.

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization Advances in Neural Information Processing Systems, 36 (2023) PPO-HSC: Exploratory RL via Policy Coverage Optimization 13

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.357065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0e6076-2c99-483a-921b-6606026c0a5e · outbound

This paper cites Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.442301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d26c6a-edaf-419d-8803-3a1e3e894c4e · outbound

This paper cites Advances in Neural Information Processing Systems, 29 (2016).

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization Advances in Neural Information Processing Systems, 29 (2016)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.546403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72246951-7bf9-4f5e-9c37-4e4017687e27 · outbound

This paper cites In: International Conference on Machine Learning, pp.

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization In: International Conference on Machine Learning, pp

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.606926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae3c72eb-87a7-43e9-95e9-bae7cce5a9cb · outbound

This paper cites Connection Science, 3(3), 241-268 (1991).

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization Connection Science, 3(3), 241-268 (1991)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.687986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079e982c-2674-4b67-8236-be916da7b3f8 · outbound

This paper cites Frontiers in Robotics and AI, 3, 40 (2016).

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization Frontiers in Robotics and AI, 3, 40 (2016)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.774153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19e80e0-c24c-4057-b940-d802b63f77a1 · outbound

This paper cites O.: Abandoning Objectives: Evolution Through the Search for Novelty Alone.

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization O.: Abandoning Objectives: Evolution Through the Search for Novelty Alone

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.863188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e4a543-aa9d-45b7-9829-c43d79582777 · outbound

This paper cites Illuminating search spaces by mapping elites.

PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization Illuminating search spaces by mapping elites

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:39:41.941604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.