Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.03817.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:10:24.380984Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:11:26.257349Z
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 98720c7b-4580-4b04-b01f-13e276d5a5ba · inbound
A Decade of Deep Learning: A Survey on The Magnificent Seven cites this paper.
A Decade of Deep Learning: A Survey on The Magnificent Seven From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:10:24.380984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38195950-c328-47a4-ad6c-91b93efe3b7d · inbound
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution cites this paper.
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:00.775393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90f14950-d6d6-49b2-a74a-88977f7ab7ac · inbound
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents cites this paper.
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:28:56.630716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaea0a6c-e4f9-4013-8306-16a29ccd7fee · inbound
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models cites this paper.
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:30:58.359285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a1f5723-2969-4d0b-af72-950b586f1e0c · inbound
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models cites this paper.
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:01:49.475714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc0d925f-36c6-4f3c-a6b6-d9b96aa4f688 · inbound
TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents cites this paper.
TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:11:26.263643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a4235b4-367b-4b80-bcde-edbb89703962 · inbound
RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents cites this paper.
RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T14:43:39.668059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd08aaba-361d-4a92-8b93-176bc1499bb7 · inbound
Process Reward Informed Tree Rollout for Effective Multi-Turn RL cites this paper.
Process Reward Informed Tree Rollout for Effective Multi-Turn RL From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:51:02.022603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2808dcb-3851-44b4-bd24-dd3d3550767a · inbound
ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning cites this paper.
ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:44:29.873290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.