Paper Citation Record · LEDGER

Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.17401.

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

pith.paper-citation-record.v1
2409.17401 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:39.597198Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:08:43.686216Z

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 70bfd106-b668-4668-8b44-1f90a18f919f · inbound

ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization cites this paper.

ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:41:39.597198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4d33d2-afbe-4190-931c-843e0bbb0e49 · inbound

Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies cites this paper.

Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T21:36:01.483861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa46c19-5430-4ba7-a8ed-971f3a9aba5a · inbound

AI-Driven Stabilization in Power Grids through Controlling Line Admittances cites this paper.

AI-Driven Stabilization in Power Grids through Controlling Line Admittances Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T12:46:01.287650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1fa882c-a460-4bbc-aeb4-701505604e1d · inbound

Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback cites this paper.

Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:03.935234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc84b6c3-59a8-48a0-8caa-ad1fa77ff559 · inbound

Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback cites this paper.

Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:22:44.697738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbbfb27b-d55a-4fb3-971b-153a94fcef5c · inbound

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning cites this paper.

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:08:43.687705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.